Template-Type: ReDIF-Article 1.0 Author-Name: Raden Edi Sewandono Author-X-Name-First: Raden Edi Author-X-Name-Last: Sewandono Author-Name: Armanu Thoyib Author-X-Name-First: Armanu Author-X-Name-Last: Thoyib Author-Name: Djumilah Hadiwidjojo Author-X-Name-First: Djumilah Author-X-Name-Last: Hadiwidjojo Author-Name: Ainur Rofiq Author-X-Name-First: Ainur Author-X-Name-Last: Rofiq Title: Effect of intellectual capital and information system capability on effective strategic decision making to achieve financial performance Abstract: This study analyses the importance of intellectual capital and information system capability applied in state-owned companies in Indonesia, influencing the company's financial performance through mediating variables. Using the theory of resource-based view (RBV) and bounded rationality to investigate these relations, a series of hypotheses are developed, considering effective strategic decision-making as a mediator variable. The study analyses structural equation modelling (SEM) derived from empirical data from 106 companies in Indonesia. The study attempts to precisely analyse how the impact of intellectual capital and information system capability on established state-owned companies in Indonesia is affected by effective strategic decision-making. The research exposes that information system capability does not influence financial performance, whereas intellectual capital and information system capability indirectly leverages financial performance through effective strategic decision-making. Journal: Int. J. of Business Information Systems Pages: 26-53 Issue: 1 Volume: 48 Year: 2025 Keywords: intellectual capital; information system capability; ISC; effective strategic decision making; financial performance. File-URL: http://www.inderscience.com/link.php?id=144073 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:1:p:26-53 Template-Type: ReDIF-Article 1.0 Author-Name: Alagirisamy Kamatchi Subbiah Sukumaran Author-X-Name-First: Alagirisamy Kamatchi Subbiah Author-X-Name-Last: Sukumaran Title: The turnover intention of young employees in the IT industry Abstract: Employee turnover process models considered job satisfaction as the key factor in the formation of turnover intention of employees and that job satisfaction negatively affected turnover intention. These models considered job satisfaction in isolation and examined career growth and supervisory interpersonal justice as antecedents of job satisfaction or turnover intention. However, this study posited career growth and supervisory interpersonal justice as the key mediator variables in job satisfaction's relationship with turnover intention considering the significance of those two factors for the young and educated employees in the IT industry. The mediation approach enabled to unlock the complex chain of relationships between job satisfaction and the turnover intention of employees. While career growth was found to enhance the negative and expected influence of job satisfaction on the employees' intention to change jobs, supervisory interpersonal justice acted in the opposite direction and depleted the negative effect of job satisfaction on the turnover intention of the employees in the IT industry. Journal: Int. J. of Business Information Systems Pages: 99-117 Issue: 1 Volume: 48 Year: 2025 Keywords: IT industry; young employees; turnover intention; job satisfaction; career growth; supervisory interpersonal justice; mediation analysis. File-URL: http://www.inderscience.com/link.php?id=144074 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:1:p:99-117 Template-Type: ReDIF-Article 1.0 Author-Name: Asma Zubaida Mohamed Ibrahim Author-X-Name-First: Asma Zubaida Mohamed Author-X-Name-Last: Ibrahim Author-Name: Masnida Hussin Author-X-Name-First: Masnida Author-X-Name-Last: Hussin Title: Return on investment-based suitability assessment model for cloud migration Abstract: Many IT-based organisations have shown an interest in moving their business operation into a cloud-enabled system as they noticed that cloud-oriented gives better revenue and return. In order to migrate, there are many operational features that need to be assessed. For the cloud migration process, the assessment of the organisation is important to ensure the business revenue and returns remain positive. However, due to the fact that numerous business data needs to be collected and analysed, some organisations do not take that action seriously. Failing to carefully measure such data/information for cloud migration will have effect on the return on investment (RoI) outcome. In this work, we present a practical model called as SAROIC for estimating the suitability and the return on investment of cloud computing migrations from the cloud user perspective. This model aims to overcome such limitations by providing a step-by-step process for estimating a comprehensive ROI of cloud migration. This will further help the cloud user in decision making. Journal: Int. J. of Business Information Systems Pages: 1-25 Issue: 1 Volume: 48 Year: 2025 Keywords: cloud computing; suitability assessment; return on investment; RoI; cloud migration; decision making. File-URL: http://www.inderscience.com/link.php?id=144075 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:1:p:1-25 Template-Type: ReDIF-Article 1.0 Author-Name: Bayan Rasheed Ghozlan Author-X-Name-First: Bayan Rasheed Author-X-Name-Last: Ghozlan Author-Name: Emad A. Abu-Shanab Author-X-Name-First: Emad A. Author-X-Name-Last: Abu-Shanab Title: The contribution of data visualisation tools towards better customer relationship management Abstract: Data is a valuable asset for businesses if it is visualised to enable decision-makers to gain insights that help them earn a competitive advantage or better market share. The visualisation process not only supports decision-makers but also scientists, journalists, and healthcare workers. Many visualisation software evolved to help general users and experts better present their data easily and attractively. In this study, we conducted a new comparison among six available tools based on specific criteria, and we tried to build a framework for the questions to be explored concerning customer relationship management (CRM), data visualisation (DV) activities, and how DV tools can contribute to building better CRM activities and processes. The studied tools have never been studied together and in the same context. Journal: Int. J. of Business Information Systems Pages: 72-98 Issue: 1 Volume: 48 Year: 2025 Keywords: data visualisations tools; D3.js; GoogleCharts; FusionCharts; Tableau; RAWGraph; Datawrapper; customer relationship management; CRM. File-URL: http://www.inderscience.com/link.php?id=144076 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:1:p:72-98 Template-Type: ReDIF-Article 1.0 Author-Name: Balakrishna Maddodi Author-X-Name-First: Balakrishna Author-X-Name-Last: Maddodi Author-Name: Dasharathraj K. Shetty Author-X-Name-First: Dasharathraj K. Author-X-Name-Last: Shetty Author-Name: Nisha S. Tatkar Author-X-Name-First: Nisha S. Author-X-Name-Last: Tatkar Author-Name: Karthikeyan Parthasarathy Author-X-Name-First: Karthikeyan Author-X-Name-Last: Parthasarathy Author-Name: B. Shridutt Author-X-Name-First: B. Author-X-Name-Last: Shridutt Author-Name: Suyash Kumar Prasad Author-X-Name-First: Suyash Kumar Author-X-Name-Last: Prasad Author-Name: S. Pavithra Author-X-Name-First: S. Author-X-Name-Last: Pavithra Author-Name: Nithesh Naik Author-X-Name-First: Nithesh Author-X-Name-Last: Naik Author-Name: Delaram Mahdaviamiri Author-X-Name-First: Delaram Author-X-Name-Last: Mahdaviamiri Author-Name: Vathsala Patil Author-X-Name-First: Vathsala Author-X-Name-Last: Patil Title: Factors influencing online purchase decisions of pharmaceutical products by baby boomers: mediating effect of consumer behaviour and attitude on trust development Abstract: The COVID-19 pandemic changed everyone's life, affecting the way of life, health, trade, and sales. The e-commerce industry has grown quickly by using innovative and creative ways to keep going during this time, aiding the people struggling to adjust. Due to the pandemic, the Indian government imposed stringent lockdowns across the country, and individuals were forced to shop online for their basic needs. The silent generation and the baby boomers have emerged as potential buyer segments during the pandemic. Several studies have indicated that trust is an essential factor that influences their buying behaviour. However, limited research has been done to identify the dimensions influencing consumer trust and test its antecedents empirically, specifically among the baby boomers and the silent generation population. The present study attempts to identify and empirically test the antecedents influencing the trust of baby boomers and the silent generation for buying medicines online. A systematic review was carried out to identify the antecedents influencing trust, which were then tested using SEM analysis. A total of 314 responses were collected and tested using SmartPLS software. The results of the study indicate that out of the six variables tested, only brand image, monetary and offline presence influence the trust of baby boomers and the silent generation for buying medicines online in India. Journal: Int. J. of Business Information Systems Pages: 118-135 Issue: 1 Volume: 48 Year: 2025 Keywords: e-commerce; consumer trust; baby boomers; silent generation; pharmaceuticals products. File-URL: http://www.inderscience.com/link.php?id=144077 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:1:p:118-135 Template-Type: ReDIF-Article 1.0 Author-Name: Chi On Chan Author-X-Name-First: Chi On Author-X-Name-Last: Chan Author-Name: Henry Lau Author-X-Name-First: Henry Author-X-Name-Last: Lau Author-Name: Youqing Fan Author-X-Name-First: Youqing Author-X-Name-Last: Fan Title: Modelling intended product demand in fashion retail using IoT and AI Abstract: The fashion industry operates in a fast moving and dynamic environment which requires fashion designers to respond to market trends quickly and continuously. This study investigates potential for application of internet of things (IoT) and artificial intelligence (AI) in fashion retail. The customer product interaction that takes place in retail stores reflects hidden preferences. As information now spreads faster than ever before, sharing product information or product evaluation by different groups can be reported in no time, which can help estimate real demand of products. But detecting these changes in real time has been difficult in the past. However, this paper analyses data collected by using IoT through the application of adaptive neuro-fuzzy inference system to learn demand changes, so as to know the intended product demand in real time. Journal: Int. J. of Business Information Systems Pages: 54-71 Issue: 1 Volume: 48 Year: 2025 Keywords: internet of things; IoT; fashion retail; customer product interaction; CPI; adaptive neuro-fuzzy inference system; ANFIS; artificial intelligence; AI. File-URL: http://www.inderscience.com/link.php?id=144080 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:1:p:54-71 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Rashed Hasan Polas Author-X-Name-First: Mohammad Rashed Hasan Author-X-Name-Last: Polas Author-Name: Asghar Afshar Jahanshahi Author-X-Name-First: Asghar Afshar Author-X-Name-Last: Jahanshahi Title: Adoption of digital banking technologies by nascent entrepreneurs in the era of transformative business information systems Abstract: Nascent entrepreneurs are those peoples who are in the early stage of starting a new business. In this study, the researchers attempted to determine what factors trigger a nascent entrepreneur to adopt digital banking technologies (applications and services)? To answer this question, this research tested the direct relationship between perceived security factors, the internet experience factors, and marketing exposure factors with nascent entrepreneur's adoption of digital banking technology. Moreover, we tested the indirect effects of these three factors with entrepreneur's adoption of digital banking technology through perceived usefulness. The study hypotheses were tested using a sample of 377 Bangladeshi nascent entrepreneurs who had participated in an entrepreneurship program and are in the process of starting a business. The findings revealed that nascent entrepreneurs with marketing exposure and perceived security are more likely to employ digital banking technology; perceived usefulness mediates the relationship between internet experience, and marketing exposure with adoption of digital banking technology. Journal: Int. J. of Business Information Systems Pages: 200-222 Issue: 2 Volume: 48 Year: 2025 Keywords: digital banking technologies; marketing exposure; nascent entrepreneurs; networking ability; perceived usefulness; perceived security. File-URL: http://www.inderscience.com/link.php?id=144381 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:2:p:200-222 Template-Type: ReDIF-Article 1.0 Author-Name: Anber Abraheem Shlash Mohammad Author-X-Name-First: Anber Abraheem Shlash Author-X-Name-Last: Mohammad Title: The impact of COVID-19 on digital marketing and marketing philosophy: evidence from Jordan Abstract: The purpose of the study was to examine the impact of COVID-19 pandemic on digital marketing and marketing philosophy. The study population consists of managers and employees working in the marketing department of companies operating in Jordan. Non-probability convenience sampling was adopted in terms of gathering the data. For this purpose, managers and employees from the marketing departments were surveyed and 318 responses were obtained that were in appropriate form to be included in the statistical analysis. Meanwhile, for empirical analysis, confirmatory factor analysis (CFA) and partial least square (PLS) were used and Smart PLS was used as statistical package. The findings of the paper have revealed that COVID-19 has a significant impact on digital marketing and marketing philosophy. Therefore, it can be evidently claimed that the emergence of the pandemic has not just threatened the survival of the firms in Jordan but has also provided an unprecedented opportunity to evolve, grow and expand given that presence of consumers online has increased dramatically which has forced organisations to revisit their digital marketing practices and bring significant changes into the marketing philosophy in terms of unique marketing strategy and core marketing concepts with respect to ongoing pandemic conditions. Journal: Int. J. of Business Information Systems Pages: 267-281 Issue: 2 Volume: 48 Year: 2025 Keywords: COVID-19; digital marketing; marketing philosophy; Jordan. File-URL: http://www.inderscience.com/link.php?id=144382 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:2:p:267-281 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed M. Yassin Author-X-Name-First: Mohammed M. Author-X-Name-Last: Yassin Author-Name: Yazid K. Melhem Author-X-Name-First: Yazid K. Author-X-Name-Last: Melhem Author-Name: Dea'a Al-Deen Al-Sraheen Author-X-Name-First: Dea'a Al-Deen Author-X-Name-Last: Al-Sraheen Title: The effect of earnings quality on internet financial reporting in developing countries from different perspectives: the case of Jordan Abstract: Internet Financial Reporting (IFR) is a voluntary disclosure tool that mitigates the agency problem, which causes information asymmetry. This study aimed to investigate the effect of earnings quality (EQ) on IFR. It employed four different measures to measure EQ, and developed an IFR index to measure the content and format of firms' disclosures. Data of 226 Jordanian firms listed on the Amman Stock Exchange (ASE) were collected. The univariate analysis reveals that IFR firms are larger, more leveraged, less board independent and have higher EQ than non-IFR firms do. Ordinary least squares (OLS) regression analysis supports that management may use greater voluntary disclosures when current earnings are less informative. Potential simultaneity bias between EQ and IFR was expected to be present. To control for this endogeneity problem, extended two-stage least squares (2SLS) regression analysis was used and supports that good EQ could facilitate foreign investments through disclosing transparent information via IFR. The results are expected to help regulators and policy makers in establishing the building blocks of a conceptual framework for IFR. Journal: Int. J. of Business Information Systems Pages: 137-166 Issue: 2 Volume: 48 Year: 2025 Keywords: internet financial reporting; IFR; earnings quality; agency theory; voluntary disclosure; Jordan. File-URL: http://www.inderscience.com/link.php?id=144383 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:2:p:137-166 Template-Type: ReDIF-Article 1.0 Author-Name: Dong-Heon Kwak Author-X-Name-First: Dong-Heon Author-X-Name-Last: Kwak Author-Name: Jinwoong Lee Author-X-Name-First: Jinwoong Author-X-Name-Last: Lee Author-Name: Greta L. Polites Author-X-Name-First: Greta L. Author-X-Name-Last: Polites Author-Name: Alan A. Brandyberry Author-X-Name-First: Alan A. Author-X-Name-Last: Brandyberry Author-Name: Deborah Erdos Knapp Author-X-Name-First: Deborah Erdos Author-X-Name-Last: Knapp Title: What motivates potential donors to evaluate is success of charity websites? Abstract: Despite the importance of motivation in information systems (IS) research, past research has not paid much attention to the issue of what motivates people to evaluate IS success. Drawing upon DeLone and McLean's IS success model, and the e-commerce, psychological involvement, and personality literatures, this effort investigates determinants of the motivation to evaluate IS success in the context of charity websites. This study proposes and tests a motivation development model, which includes causal relationships among personality, psychological involvement, and motivation to evaluate IS success. Additionally, this model provides a theoretical understanding of what promotes the evaluation of various aspects of IS success by demonstrating that prosocial personality increases psychological involvement with charitable giving, which, in turn, motivates the evaluation on IS success of charity websites. Journal: Int. J. of Business Information Systems Pages: 223-247 Issue: 2 Volume: 48 Year: 2025 Keywords: motivation; IS success; charity website; personality; psychological involvement. File-URL: http://www.inderscience.com/link.php?id=144384 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:2:p:223-247 Template-Type: ReDIF-Article 1.0 Author-Name: Pankaj Kumar Gupta Author-X-Name-First: Pankaj Kumar Author-X-Name-Last: Gupta Author-Name: Prabhat Mittal Author-X-Name-First: Prabhat Author-X-Name-Last: Mittal Title: Perceptual issues of HRIS adoption – evidence from Indian companies Abstract: Given the pace of technological developments, the HR function is acquiring an IT-enabled strategic posture embedded in the corporate management information system with a variety of platforms and uses. Human resources and information are the prime resources for the success of any organisation in a dynamic business environment. Human resources are changing its face from an operational routine task to a strategic one. This has bestowed responsibility on human resource information system (HRIS) to change its face from a mere administrative facilitator to a decision supporting tool. This paper examines the impact of perceived barriers and benefits on the extent of implementation of HRIS in Indian companies and attempts to highlight the perception of HR managers and staff towards the adoption of HRIS. Analysis of the survey results on Indian companies reveals that active involvement of the HR practitioners, adequate training, and change of attitude to consider HRIS as strategic business activity can significantly improve the efficiency of organisations. Journal: Int. J. of Business Information Systems Pages: 248-266 Issue: 2 Volume: 48 Year: 2025 Keywords: human resource; human resource information system; HRIS; strategy; structural equation modelling; SEM; perceived barriers; perceived benefits. File-URL: http://www.inderscience.com/link.php?id=144385 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:2:p:248-266 Template-Type: ReDIF-Article 1.0 Author-Name: Mitali Chugh Author-X-Name-First: Mitali Author-X-Name-Last: Chugh Author-Name: Neeraj Chugh Author-X-Name-First: Neeraj Author-X-Name-Last: Chugh Author-Name: Rajesh Kumar Upadhyay Author-X-Name-First: Rajesh Kumar Author-X-Name-Last: Upadhyay Author-Name: Rodrigo Spínola Author-X-Name-First: Rodrigo Author-X-Name-Last: Spínola Title: A research perspective on technical debt in software development Abstract: Technical debt (TD) in software development reflects the implied cost of surplus rework due to technical negotiations that can produce short-term advantage; however, it may affect the software system in the long-term. To better describe and comprehend TD research literature, a comprehensive literature assessment is important. Particularly, the bibliometric analysis would allow examining the research and facilitating the assessment of recent progress in the area to gather studies on TD and present citation and thematic analysis for a broad understanding of the TD research literature over the years. The bibliometric study is built on four research questions using the data collected from the Clarivate Analytics Web of Science database comprising 378 papers. The results of this bibliometric study can help to comprehend the scenario we have about the dissemination of results on the TD area over the years. Journal: Int. J. of Business Information Systems Pages: 167-199 Issue: 2 Volume: 48 Year: 2025 Keywords: technical debt; bibliometric study; thematic analysis. File-URL: http://www.inderscience.com/link.php?id=144392 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:2:p:167-199 Template-Type: ReDIF-Article 1.0 Author-Name: Muneer Abbad Author-X-Name-First: Muneer Author-X-Name-Last: Abbad Title: Adopting social networks in higher education: a study on Facebook as e-learning tool Abstract: In higher education, an increasing number of learning institutions are utilising social networks as e-learning tools. Developing countries in particular are experimenting with the use of such networks. It is imperative to review and extend the technology acceptance model (TAM) to enhance the application of social networks in e-learning. The main objective of this study was to determine the factors that affect students' intentions to use social networks, such as Facebook, as e-learning tools. An online survey was administered to collect data from undergraduate students at the Hashemite University in Jordan. Structural equation modelling was employed to analyse the data and test the hypotheses. The results indicated that students' intentions to use social networks as e-learning tools were directly and indirectly influenced by perceived ease of use, perceived usefulness, and perceived enjoyment. The proposed model explained 74.6% of the variance and achieved an acceptable fit. The implications of the results, limitations of the study, and future research were then considered. Journal: Int. J. of Business Information Systems Pages: 353-376 Issue: 3 Volume: 48 Year: 2025 Keywords: social networks; e-learning; TAM model; higher education; Facebook; Jordan; developing countries. File-URL: http://www.inderscience.com/link.php?id=144858 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:3:p:353-376 Template-Type: ReDIF-Article 1.0 Author-Name: S. Sophia Author-X-Name-First: S. Author-X-Name-Last: Sophia Author-Name: K. Iyswarya Author-X-Name-First: K. Author-X-Name-Last: Iyswarya Author-Name: S.R. Boselin Prabhu Author-X-Name-First: S.R. Boselin Author-X-Name-Last: Prabhu Author-Name: U.K. Sridevi Author-X-Name-First: U.K. Author-X-Name-Last: Sridevi Title: Reliable methodology for acquiring exact road accident information using deep learning Abstract: In a highly populated country like India, the death rate increases alarmingly due to road accidents. Various reasons for road accidents include rash driving, violating the speed limits, drunken driving, bad weather conditions, improper road construction and maintenance, etc. For avoiding these road accidents, intelligent prediction of the occurrence of road accidents would be greatly helpful. The main intention of the research in this paper is to formulate an information-centric road safety mechanism that shall increase safety to human lives. This paper deals with the proposal of a reliable deep learning technique for prediction of road accidents through a comparative analysis of K-nearest neighbours (K-NN) algorithm and Regression algorithm. Coimbatore city located in Tamilnadu, India is being chosen for the data procurement. Various causes that lead to accidents and their impacts like death rate, time of accidents and category of vehicles involved in the accidents were chosen for analysis. On the basis of comparative analysis and its prediction results, this research work aids in modelling an information-centred road safety mechanism that helps in preventing future road accidents in a cost-effective way. Journal: Int. J. of Business Information Systems Pages: 406-432 Issue: 3 Volume: 48 Year: 2025 Keywords: reliable transportation; information-centric approach; regression algorithm; deep learning; predictive analysis; road accidents; accident prone areas. File-URL: http://www.inderscience.com/link.php?id=144863 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:3:p:406-432 Template-Type: ReDIF-Article 1.0 Author-Name: Manel Hamouda Author-X-Name-First: Manel Author-X-Name-Last: Hamouda Author-Name: Rym Srarfi Tabbane Author-X-Name-First: Rym Srarfi Author-X-Name-Last: Tabbane Title: An empirical examination of consumer post-adoption of mobile banking Abstract: The aim of this paper is to examine mobile banking post-adoption phase by incorporating post-use trust as a central variable among mobile banking factors (system quality, information quality, service quality and interface design) and relationship variables namely loyalty and commitment. The proposed model was tested empirically through a quantitative study. Data was collected using an online survey from users of mobile banking. A total of 145 valid questionnaires were analysed using partial least square structural equation modelling. The empirical results revealed a significant and positive relationship between service quality, interface design and post-use trust of mobile banking. Post-use trust has, in turn, a significant impact on establishing a long-term relationship with mobile banking services as a positive relationship was found between post-use trust and both loyalty and commitment. Journal: Int. J. of Business Information Systems Pages: 283-303 Issue: 3 Volume: 48 Year: 2025 Keywords: mobile banking; m-banking; post-adoption; commitment; system quality; post-use trust; loyalty; information quality; service quality; interface design; quantitative; partial least squares; PLS. File-URL: http://www.inderscience.com/link.php?id=144867 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:3:p:283-303 Template-Type: ReDIF-Article 1.0 Author-Name: Chi Tin Wong Author-X-Name-First: Chi Tin Author-X-Name-Last: Wong Author-Name: Cheng Ling Tan Author-X-Name-First: Cheng Ling Author-X-Name-Last: Tan Author-Name: Imran Mahmud Author-X-Name-First: Imran Author-X-Name-Last: Mahmud Title: Value-based adoption model: a systematic literature review from 2007 to 2021 Abstract: In the past two decades, more and more methods have been used to test the adoption intention of information and communication technology (ICT) based on the value-based adoption model (VAM). However, previous studies paid less attention to a comprehensive study that reviewed research articles related to VAM to discuss the research gaps and future research opportunities. There is an absence of a clear agenda or roadmap in the research area of VAM. Therefore, the purpose of this study is to synthesise and analyse the research studies of VAM in the past two decades, identify the main theories/frameworks/models integrated with VAM, and summarise the key benefits and sacrifices factors of VAM and the use cases of VAM. This study reviewed 42 research articles published between 2007 to the first quarter of 2021, highlighted the literature gaps, as well as suggested further research directions. Journal: Int. J. of Business Information Systems Pages: 304-331 Issue: 3 Volume: 48 Year: 2025 Keywords: value-based adoption model; VAM; systematic literature review; development and extension; technology acceptance model; TAM; modification and application. File-URL: http://www.inderscience.com/link.php?id=144868 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:3:p:304-331 Template-Type: ReDIF-Article 1.0 Author-Name: Alaa Darabseh Author-X-Name-First: Alaa Author-X-Name-Last: Darabseh Author-Name: Praveen Khethavath Author-X-Name-First: Praveen Author-X-Name-Last: Khethavath Title: Supervised and unsupervised outlier detection machine learning algorithms in wireless sensor networks Abstract: Outliers influence the quality and reliability of data obtained from wireless sensor networks (WSNs) for a variety of reasons, including the effects of harsh environments and the limitations of processing and communication capacities. In this paper, we implemented and evaluated ten machine learning techniques (both supervised and unsupervised) in terms of their ability to detect outliers in WSNs. A real-world dataset was used to evaluate the results of our study. Our findings show that the best-performing unsupervised algorithms are comparable to supervised algorithms and can be used in real-world applications. This can be highly useful because unsupervised methods overcome the limitations of supervised machine learning in WSNs by not requiring historical data to build a model to detect abnormalities quickly and accurately. As a result, communication overhead will be reduced, resulting in energy savings and increased network lifetime. In addition, the results of our research show that some algorithms outperform others. This is extremely beneficial because the selection of detection algorithms is essential in improving the performance of outlier detectors. Journal: Int. J. of Business Information Systems Pages: 332-352 Issue: 3 Volume: 48 Year: 2025 Keywords: wireless sensor networks; WSNs; machine learning; outlier detection techniques; sensor data; classification; data quality. File-URL: http://www.inderscience.com/link.php?id=144869 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:3:p:332-352 Template-Type: ReDIF-Article 1.0 Author-Name: Darius Bwalya Author-X-Name-First: Darius Author-X-Name-Last: Bwalya Author-Name: Douglas Kunda Author-X-Name-First: Douglas Author-X-Name-Last: Kunda Title: Design and implementation of a recommender system for smartphone preferences in Zambia Abstract: With countless brands, models and capabilities of mobile phones to choose from, the challenge is to have the automated ideal mix of factors or features and how these can be integrated in smartphone recommendation for easy decision making. Therefore, the main objective of the study was to design and implement a recommender web application based on the important feature or preferences that influence users when selecting a smartphone in Zambia. Design science research (DSR) methodology was adopted and in the problem awareness stage a survey was conducted to validate the factors identified in literature as to whether they are important in Zambian context. This was confirmed by the survey and over 60% of respondents recommended development of an application to assist users in smartphone selection. Consequently, a smartphone recommender system was developed using design science research methodology and the results are presented in this paper. Journal: Int. J. of Business Information Systems Pages: 377-405 Issue: 3 Volume: 48 Year: 2025 Keywords: recommender system; smartphone preferences; design science research; DSR; artefact; user centred design; design requirements. File-URL: http://www.inderscience.com/link.php?id=144871 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:3:p:377-405 Template-Type: ReDIF-Article 1.0 Author-Name: Eduarda Perdigão Author-X-Name-First: Eduarda Author-X-Name-Last: Perdigão Author-Name: Bráulio Alturas Author-X-Name-First: Bráulio Author-X-Name-Last: Alturas Title: Developing an app proposal for tuk tuk service management Abstract: In most tuk tuk companies, outdated methods are used in the daily management of the company, which makes the processes slow and time-consuming. So, it was found that it was necessary to use information technologies to make tuk tuk companies more effective in daily management. Therefore, the main objective of this project was the development of an application, that works like an information system, for tuk tuk companies. The requirement gathering carried out, allowed conclusions to be reached about the type of information that was to be relevant in the application as well as its functionalities. It was concluded that it is necessary to have two types of applications, a mobile and a desktop. The App brings advantages related to the reduction of errors in the database, overview and knowledge of the employees' work, and improvement in time management that can increase the productivity of the company's managers. Journal: Int. J. of Business Information Systems Pages: 433-451 Issue: 4 Volume: 48 Year: 2025 Keywords: business analytics; cloud; business information systems; business intelligence; dashboard; mobile apps; desktop apps; key performance indicators; tuk tuk; tourism. File-URL: http://www.inderscience.com/link.php?id=145549 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:4:p:433-451 Template-Type: ReDIF-Article 1.0 Author-Name: Faraz Mueen Mulla Author-X-Name-First: Faraz Mueen Author-X-Name-Last: Mulla Author-Name: Satish G. Jangali Author-X-Name-First: Satish G. Author-X-Name-Last: Jangali Author-Name: Vinayak N. Kulkarni Author-X-Name-First: Vinayak N. Author-X-Name-Last: Kulkarni Author-Name: V.N. Gaitonde Author-X-Name-First: V.N. Author-X-Name-Last: Gaitonde Title: Enterprise resource planning solution for a poultry firm Abstract: Various businesses utilise enterprise resource planning (ERP) to manage their company operations in a centralised and integrated system. The poultry sector is currently experiencing significant hurdles to retain its presence in the global market. The poultry industry is responsible for overcoming the unique problems connected with breeding, hatching, and proper farm care. To overcome these problems, it needs technical assistance that is both qualitative and quantitatively beneficial. In this context, the current paper focuses on the real-time implementation of ERP systems in poultry firms to standardise the operations and bring down the overall cost while keeping control over the material and information flow. The article also describes the different phases of Software as a Service (SaaS) based ERP implementation, covering pre-planning, discovery, value proposition and data collection phases, which are the critical phases of the ERP implementation. As information and technology are rapidly changing and growing with more efficiency, its systems help organisations use cloud computing and blockchain technologies to overcome industrial challenges. Journal: Int. J. of Business Information Systems Pages: 482-499 Issue: 4 Volume: 48 Year: 2025 Keywords: cloud ERP system; enterprise resource planning; poultry operations; SaaS; Value proposition. File-URL: http://www.inderscience.com/link.php?id=145550 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:4:p:482-499 Template-Type: ReDIF-Article 1.0 Author-Name: Mahmoud Al-Kofahi Author-X-Name-First: Mahmoud Author-X-Name-Last: Al-Kofahi Author-Name: Haslinda Hassan Author-X-Name-First: Haslinda Author-X-Name-Last: Hassan Author-Name: Rosli Mohamad Author-X-Name-First: Rosli Author-X-Name-Last: Mohamad Title: DeLone and McLean information systems success model: a literature review Abstract: The rapid advancement of information technology over the last four decades has had a considerable impact on both individuals and organisations. Hence, information systems (IS) success has become one of the most significant topics of interest among researchers and scholars. DeLone and McLean developed the IS success model to provide a complete and extended definition of IS success. The current study provides a comprehensive literature review of prior works that have utilised the model as the theoretical foundation. The analysis covers 102 scholarly articles and conference papers published between 2012 and 2021, as reported in the Scopus database. The findings of the study indicate that the IS success model and technology acceptance model are commonly used together. The weighted analysis of internal variables indicates that information quality and user satisfaction are the best predictors. Meanwhile, perceived usefulness and trust are most commonly used as external variables. The results suggest a lack of moderating and mediating variables used in past research. The results of this study add further to the accumulated existing knowledge of the IS success model, particularly in the aspect of the predictive power of each internal variable and the most frequently used external variables. Journal: Int. J. of Business Information Systems Pages: 452-481 Issue: 4 Volume: 48 Year: 2025 Keywords: DeLone and McLean; information systems; IS success model; literature review; IS success determinants; weight analysis. File-URL: http://www.inderscience.com/link.php?id=145551 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:4:p:452-481 Template-Type: ReDIF-Article 1.0 Author-Name: Roopa Raman Author-X-Name-First: Roopa Author-X-Name-Last: Raman Title: Knowledge sharing as a signalling mechanism: impact on perceived psychological safety toward health IT-enabled patient-care work Abstract: We investigate knowledge flows as signalling mechanisms shaping knowledge recipients' psychological safety towards health information technology (HIT)-enabled patient-care work. In large hospital systems, HIT-enabled patient-care work is complex and involves interdependent collaboration between people. We focus on two different kinds of knowledge that people share amongst each other as they engage in HIT-enabled patient-care work - requests for problem-specific help/advice and unsolicited, but helpful, tips/tricks/insights - and the social networks underlying these flows, namely help-seeking networks and voluntary contribution networks. Drawing on social network theory and knowledge management literature, we identify the positions within each social network that impact knowledge recipients' psychological safety. Social network data were collected from clinicians across 27 inpatient patient-care units, and analysed using generalised estimating equations. In voluntary contribution networks, in-degree centrality and in-closeness centrality impacted the psychological safety of knowledge recipients, while in help-seeking networks, only in-degree centrality had an effect on psychological safety. Journal: Int. J. of Business Information Systems Pages: 522-554 Issue: 4 Volume: 48 Year: 2025 Keywords: knowledge networks; health information technology; HIT; network centrality; psychological safety; curvilinear relationship; multilevel survey research; help-seeking network; voluntary contribution network. File-URL: http://www.inderscience.com/link.php?id=145552 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:4:p:522-554 Template-Type: ReDIF-Article 1.0 Author-Name: Chiara Francalanci Author-X-Name-First: Chiara Author-X-Name-Last: Francalanci Author-Name: Paolo Giacomazzi Author-X-Name-First: Paolo Author-X-Name-Last: Giacomazzi Author-Name: Barbara Pernici Author-X-Name-First: Barbara Author-X-Name-Last: Pernici Author-Name: Lucia Polidori Author-X-Name-First: Lucia Author-X-Name-Last: Polidori Author-Name: Gianmarco Ruggiero Author-X-Name-First: Gianmarco Author-X-Name-Last: Ruggiero Author-Name: Philip Carnelley Author-X-Name-First: Philip Author-X-Name-Last: Carnelley Author-Name: Gabriella Cattaneo Author-X-Name-First: Gabriella Author-X-Name-Last: Cattaneo Author-Name: Mike Glennon Author-X-Name-First: Mike Author-X-Name-Last: Glennon Author-Name: Richard Stevens Author-X-Name-First: Richard Author-X-Name-Last: Stevens Author-Name: Arne-Jørgen Berre Author-X-Name-First: Arne-Jørgen Author-X-Name-Last: Berre Author-Name: Todor Ivanov Author-X-Name-First: Todor Author-X-Name-Last: Ivanov Author-Name: Ivan Martinez Rodriguez Author-X-Name-First: Ivan Martinez Author-X-Name-Last: Rodriguez Author-Name: Tomas Pariente Lobo Author-X-Name-First: Tomas Pariente Author-X-Name-Last: Lobo Title: Big data projects and business benefits: empirical evidence from extensive data survey Abstract: There is an emerging stream of literature that is aimed at the identification of general drivers of business benefits for big data and analytics. This paper is positioned in this research, towards the definition of a general, high-level model incorporating the variables that are empirically confirmed as drivers of business benefits. We adopt the taxonomy of big data usage that makes a general distinction between descriptive, predictive and prescriptive analytics, as the sequence of steps to be taken towards a full exploitation of big data and consequent acquisition of business benefits. We put forward a set of hypotheses framing the idea that business benefits grow as companies take these three steps and test them by surveying the opinion of managers from a cross-section of over 700 European companies. Results partly confirm our hypotheses, suggesting that the timely availability of integrated data to decision makers is perceived as the main driver of business benefits, even if it is obtained with simple descriptive analytics. Journal: Int. J. of Business Information Systems Pages: 500-521 Issue: 4 Volume: 48 Year: 2025 Keywords: big data; analytics; business benefits; business KPIs. File-URL: http://www.inderscience.com/link.php?id=145553 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:4:p:500-521 Template-Type: ReDIF-Article 1.0 Author-Name: Anupama Angadi Author-X-Name-First: Anupama Author-X-Name-Last: Angadi Author-Name: Satya Keerthi Gorripati Author-X-Name-First: Satya Keerthi Author-X-Name-Last: Gorripati Title: A privacy-preserving collaborative filtering approach using Hellinger distance similarity metric for high dimensional dataset Abstract: By proposing items or particulars to users, collaborative recommenders (<i>CR</i>) have become significant on internet applications. Recommender algorithms suggest recommendations to users, that are utmost similar to those earlier consumptions. To suggest recommendations, the system requires users' sensitive information such as browsing history, purchase activities, and demographics. Unfortunately, this information may be misused by malicious third parties for endorsing their products. In this paper, we present a privacy-preserving recommender system approach to protect sensitive information against breaches. Our framework is initiated on homomorphic encryption, which is used to conceal the sensitive information of the users from third parties. While the user's preferences, favourites, like-tasted neighbourhood, and suggestions are transmitted over the network in an encryption form. However, traditional neighbourhood <i>CR</i> uses Jaccard similarity faces difficulty in handling high-dimensional and sparse data. The proposed approach diminishes these issues by exploiting the Hellinger similarity metric. The efficacy of the proposed model is accurate as regards computation also outperforming existing traditional solutions. Journal: Int. J. of Business Information Systems Pages: 555-572 Issue: 4 Volume: 48 Year: 2025 Keywords: collaborative filtering; privacy; data encryption; recommender systems. File-URL: http://www.inderscience.com/link.php?id=145569 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:48:y:2025:i:4:p:555-572 Template-Type: ReDIF-Article 1.0 Author-Name: Anuraj Singh Author-X-Name-First: Anuraj Author-X-Name-Last: Singh Author-Name: Anurag Singh Author-X-Name-First: Anurag Author-X-Name-Last: Singh Author-Name: Adarsh Kumar Author-X-Name-First: Adarsh Author-X-Name-Last: Kumar Title: Impact of COVID-19 on monitoring human health behaviour through digital medium system Abstract: COVID-19's impact on human health monitoring via a digital medium system is an essential process in every hospital, public area, and human civilisation scenario to combat the COVID-19 pandemic. However, diagnosing an infected individual is problematic, as some people present no symptoms but are infected with COVID-19. Identification gets more complex when an individual has a high level of immunity but is infected with COVID-19. This issue has significant effects for the elderly and those suffering from deadly conditions such as diabetes, cancer, and thyroid. This study presents a procedure and a patient detection architect for a digital medium system that would connect health workers and citizens and aid in protecting patients, ourselves, our families, society, and the community. Journal: Int. J. of Business Information Systems Pages: 94-112 Issue: 1 Volume: 49 Year: 2025 Keywords: COVID-19; digital medium device; drone technology; thermal scanning. File-URL: http://www.inderscience.com/link.php?id=145956 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:1:p:94-112 Template-Type: ReDIF-Article 1.0 Author-Name: Rita Marques Author-X-Name-First: Rita Author-X-Name-Last: Marques Author-Name: Bruno Henriques Author-X-Name-First: Bruno Author-X-Name-Last: Henriques Author-Name: Miguel Mira da Silva Author-X-Name-First: Miguel Mira da Author-X-Name-Last: Silva Author-Name: Daniel Gonçalves Author-X-Name-First: Daniel Author-X-Name-Last: Gonçalves Title: Using gamification for improving time reporting Abstract: Time reporting is an essential process for companies, but often employees fail to timely report the time they spent working on different tasks. To address this problem, we propose an extension of an already existent solution to gamify software development practitioners' work to make the time reporting task more engaging for employees. This solution was built upon the Jira core mechanism for time tracking and evaluated with a team of five employees in a Portuguese small consultancy group. Results showed meaningful improvements in this team's practices, particularly for one employee, but these changes must be validated with the team to understand if they occurred due to the gamification solution or due to other external factors. In the future, the solution will be improved based on these findings and evaluated with the same and other teams. Journal: Int. J. of Business Information Systems Pages: 25-45 Issue: 1 Volume: 49 Year: 2025 Keywords: gamification; time reporting; work process; motivation; employee engagement. File-URL: http://www.inderscience.com/link.php?id=145957 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:1:p:25-45 Template-Type: ReDIF-Article 1.0 Author-Name: Ali Zakariya Farhan Al-Quran Author-X-Name-First: Ali Zakariya Farhan Author-X-Name-Last: Al-Quran Author-Name: Ali Bani-Khaled Author-X-Name-First: Ali Author-X-Name-Last: Bani-Khaled Author-Name: Mohammed Mousa Salem Eldahamsheh Author-X-Name-First: Mohammed Mousa Salem Author-X-Name-Last: Eldahamsheh Author-Name: Hanan Mohammad Ali Almomani Author-X-Name-First: Hanan Mohammad Ali Author-X-Name-Last: Almomani Author-Name: Sulieman Ibraheem Shelash Al-Hawary Author-X-Name-First: Sulieman Ibraheem Shelash Author-X-Name-Last: Al-Hawary Author-Name: Anber Abraheem Shlash Mohammad Author-X-Name-First: Anber Abraheem Shlash Author-X-Name-Last: Mohammad Title: The impact of digital inbound marketing on digital marketing performance Abstract: The aim of the study is to determine the impact of digital inbound marketing on digital performance marketing. Digital inbound marketing was conceptualised in terms of digital content marketing, search engine marketing and social media marketing. Data were collected using a questionnaire distributed to a convenience sample of online customers. IBM SPSS 25.0 AMOS 22.0 software was used to perform data analysis. The results pointed out that there were significant effects of the three components of digital inbound marketing on digital performance marketing. In conclusion, for organisations to boost their digital marketing performance, an integrated use of digital inbound marketing components should be followed. Results were discussed, implications were highlighted and recommendations were suggested. Journal: Int. J. of Business Information Systems Pages: 46-64 Issue: 1 Volume: 49 Year: 2025 Keywords: digital inbound marketing; digital content marketing; search engine marketing; SEM; social media marketing; digital performance marketing. File-URL: http://www.inderscience.com/link.php?id=145958 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:1:p:46-64 Template-Type: ReDIF-Article 1.0 Author-Name: Renato Lopes da Costa Author-X-Name-First: Renato Lopes da Author-X-Name-Last: Costa Author-Name: Rui Gonçalves Author-X-Name-First: Rui Author-X-Name-Last: Gonçalves Author-Name: Bruno Fachada Author-X-Name-First: Bruno Author-X-Name-Last: Fachada Author-Name: Leandro Pereira Author-X-Name-First: Leandro Author-X-Name-Last: Pereira Author-Name: Álvaro Dias Author-X-Name-First: Álvaro Author-X-Name-Last: Dias Title: Intelligent systems and artificial intelligence to enhance customer segmentation Abstract: This study investigates how artificial intelligence, its characteristics, features and limitations enhance customer segmentation. All these aspects were analysed through literature review and were further developed by two methodologies: online questionnaire and interviews. The online questionnaire concluded that, while artificial intelligence's characteristics and impacts positively influence its implementation in customer segmentation, this type of technology still has limitations that could constitute an obstacle. Regarding the interviews, the main insight was that artificial intelligence is still only perceived as a support in decision making, thus, dependent on humans. However, many employees still look at these technologies as a threat to their workplace, which can lead to resistance in their implementation and incur on unnecessary costs for organisations. Journal: Int. J. of Business Information Systems Pages: 65-93 Issue: 1 Volume: 49 Year: 2025 Keywords: artificial intelligence; marketing strategy; market research; customer segmentation; decision making support. File-URL: http://www.inderscience.com/link.php?id=145959 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:1:p:65-93 Template-Type: ReDIF-Article 1.0 Author-Name: Ebrahim Mohammed Al-Matari Author-X-Name-First: Ebrahim Mohammed Author-X-Name-Last: Al-Matari Title: The top management team characteristics and financial performance: the role of remuneration - further analysis: evidence from Saudi Arabia and Oman Abstract: The discussion around the top management team (TMT) as to whether or not it affects the financial performance (FP) of the firm is ongoing in literature albeit the findings are mixed. Hence, this study is motivated by the need to examine the TMT-FP relationship in the context of listed firms in Oman and Saudi Arabia. The study also aims to test remuneration in light of its moderating effect on the above relationship. Data was collected from the companies' annual report for the years from 2014 to 2019, and was analysed with the help of ordinary least squares (OLS). The findings showed that TMT experience in accounting and finance positively and significantly. Remuneration was also found to have a moderating positive effect on the relationship between professional certificate of TMT and FP. The findings further indicated that remuneration positively and significantly moderated the relationship between TMT foreign member and FP. Further test found TMTSCORE positively associated with performance. Journal: Int. J. of Business Information Systems Pages: 113-141 Issue: 1 Volume: 49 Year: 2025 Keywords: top management team; TMT; agency theory; Saudi Arabia; Oman; upper echelons theory; panel data; financial performance; further analysis. File-URL: http://www.inderscience.com/link.php?id=145960 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:1:p:113-141 Template-Type: ReDIF-Article 1.0 Author-Name: Samar Rahi Author-X-Name-First: Samar Author-X-Name-Last: Rahi Author-Name: Mahmoud Alghizzawi Author-X-Name-First: Mahmoud Author-X-Name-Last: Alghizzawi Author-Name: Mehwish Ishtiaq Author-X-Name-First: Mehwish Author-X-Name-Last: Ishtiaq Author-Name: Abdul Hafaz Ngah Author-X-Name-First: Abdul Hafaz Author-X-Name-Last: Ngah Author-Name: Ahmed Muneeb Mehta Author-X-Name-First: Ahmed Muneeb Author-X-Name-Last: Mehta Title: Examining consumer behaviour towards continuance use of mobile shopping apps with the integration of expectation confirmation theory and flow theory Abstract: The purpose of this research work is to investigate consumer behaviour towards continuance use of m-shopping applications. The current research comprises sample of 401 users working in education sector. The research model is evaluated by applying structural equation modelling. Findings revealed that expectation confirmation theory, brand-awareness facets and flow theory are positively associated to user satisfaction. Similarly, the user satisfaction is positively associated to the continuance intention to use m-shopping apps. This research has revealed substantial explanatory power of 82.6% towards continue use of m-shopping applications. Furthermore, analysis of the importance performance matrix shows that satisfaction and expectation-confirmation are the most essential elements in determining user intentions to continue using m-shopping apps. This research is unique as it combines factors underpinned flow theory, brand facets and expectation confirmation model to investigate user continuance behaviour to use m-shopping apps. Journal: Int. J. of Business Information Systems Pages: 1-24 Issue: 1 Volume: 49 Year: 2025 Keywords: flow theory; expectation-confirmation model; ECM; brand-awareness facets; continuance intentions; consumer behaviour; user satisfaction. File-URL: http://www.inderscience.com/link.php?id=145961 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:1:p:1-24 Template-Type: ReDIF-Article 1.0 Author-Name: Arjun Neupane Author-X-Name-First: Arjun Author-X-Name-Last: Neupane Author-Name: Nawaraj Paudel Author-X-Name-First: Nawaraj Author-X-Name-Last: Paudel Author-Name: Keshav Poudel Author-X-Name-First: Keshav Author-X-Name-Last: Poudel Author-Name: Tej Bahadur Shahi Author-X-Name-First: Tej Bahadur Author-X-Name-Last: Shahi Title: Examining adoption of mobile game in Nepal with extended TAM Abstract: This study examines the relationship between perceived ease of use, enjoyment, social influence, usefulness, flow experience, use context, and behaviour intention to adopt mobile games in the Nepalese context through an extended technology acceptance model (TAM). This study uses a quantitative approach to collect mobile users playing mobile games from Kathmandu, Nepal. Structural equation modelling (SEM) is used for statistical analysis, including model measurement and hypothesis testing. The finding demonstrated the significant relationship between perceived ease of use (PEU), perceived enjoyment (PE), and flow (FL) to the positive impact on behaviour intention to play mobile games. This study highlighted the important factor that needs to be considered by the mobile game developer to increase the behaviour intention of the user that needs to focus on PEU, PE, and FL while developing the mobile games. This study offers a theoretical contribution to mobile game developers to assist in developing mobile games. Journal: Int. J. of Business Information Systems Pages: 143-160 Issue: 2 Volume: 49 Year: 2025 Keywords: perceived usefulness; flow; use of context; behaviour intention; mobile games. File-URL: http://www.inderscience.com/link.php?id=146596 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:2:p:143-160 Template-Type: ReDIF-Article 1.0 Author-Name: Aysha Saleh Yahya Saleh Alkhalaqi Author-X-Name-First: Aysha Saleh Yahya Saleh Author-X-Name-Last: Alkhalaqi Author-Name: Hissa Qassim Al-Mahmoud Author-X-Name-First: Hissa Qassim Author-X-Name-Last: Al-Mahmoud Author-Name: Fatima Abdulla Al-Naimi Author-X-Name-First: Fatima Abdulla Author-X-Name-Last: Al-Naimi Author-Name: Shaikha Abdulrahman Al-Thani Author-X-Name-First: Shaikha Abdulrahman Author-X-Name-Last: Al-Thani Author-Name: Yasmin K.A. Meqdad Author-X-Name-First: Yasmin K.A. Author-X-Name-Last: Meqdad Author-Name: Roudha Hassan Qasmi Author-X-Name-First: Roudha Hassan Author-X-Name-Last: Qasmi Author-Name: Habib Ullah Khan Author-X-Name-First: Habib Ullah Author-X-Name-Last: Khan Author-Name: Khaled Abdelkarim AlShare Author-X-Name-First: Khaled Abdelkarim Author-X-Name-Last: AlShare Author-Name: Hiba Ahmad Abed Bawadi Author-X-Name-First: Hiba Ahmad Abed Author-X-Name-Last: Bawadi Title: Developing a culturally sensitive expert system for carbohydrate counting and determining insulin doses for patients with insulin-dependent diabetes Abstract: The prevalence of diabetes is increasing globally. The risk of developing diabetes complications can be reduced by continuous self-monitoring and following carbohydrate counting (CC) approach. Diabetic patients find difficulty in calculating carbohydrate intake manually. Systems and applications that aid in CC and insulin dose determination are few and no similar systems were created while considering the dietary characteristics and the culture of Gulf cooperation council (GCC) countries. To combat this problem accurately, a culturally sensitive expert system is developed to help insulin-dependent diabetic patients in determining the appropriate insulin doses based on the carbohydrate count. The expert system involved the usage of different food composition tables that incorporate both traditional and international food for better adherence by the patient. After validating using different performance metrics and case studies it was concluded that this system is user-friendly and can be accessed in both English and Arabic languages. Journal: Int. J. of Business Information Systems Pages: 161-179 Issue: 2 Volume: 49 Year: 2025 Keywords: expert system; carbohydrate counting; diabetes; insulin-dependent patient; Qatar. File-URL: http://www.inderscience.com/link.php?id=146598 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:2:p:161-179 Template-Type: ReDIF-Article 1.0 Author-Name: Hemza Loucif Author-X-Name-First: Hemza Author-X-Name-Last: Loucif Title: A simplistic model for spammers detection in social recommender systems Abstract: The dramatic growth of social networks and the diversity of their user base give the web business companies an unprecedented opportunity to stay well ahead of competition. Companies like Amazon, Alibaba, and other web business leaders are still investing huge amounts of money in order to improve their social network-based online recommender systems. Detecting and filtering spammers (aka fake recommenders) who post messages containing malicious commercial URLs in these environments is becoming a serious issue that the social network analysis community must confront. In this paper, we introduce a simplistic and effective machine learning based classifier to detect spammers. A multi-layer perceptron (MLP) with backpropagation training constitutes the core of the classifier. Using a public dataset of real-world social networks, the experiments demonstrated the possibility of reaching high accuracy levels with no more than two hidden layers. Journal: Int. J. of Business Information Systems Pages: 199-217 Issue: 2 Volume: 49 Year: 2025 Keywords: spammer detection; recommender systems; back propagation; multi-layer perceptron; MLP. File-URL: http://www.inderscience.com/link.php?id=146599 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:2:p:199-217 Template-Type: ReDIF-Article 1.0 Author-Name: Asif Sohail Author-X-Name-First: Asif Author-X-Name-Last: Sohail Author-Name: Syed Waqar Jaffry Author-X-Name-First: Syed Waqar Author-X-Name-Last: Jaffry Title: Ranking the blocking keys for data de-duplication in information systems Abstract: Data de-duplication is an essential activity in data integration and data cleansing. It identifies and removes the disguised duplicates in a dataset. Blocking is an established technique for reducing the inherent quadratic complexity of de-duplication. Blocking gathers the potential matching records in the same block on the basis of a blocking key. The results of blocking fluctuate considerably when different blocking keys are employed. Hence, it becomes extremely important to select an appropriate blocking key for maximising the efficacy and efficiency of blocking. The proposed technique ranks the attributes of a dataset with respect to their usability as a blocking key. We have introduced a novel correlation measure called R-score for computing correlation between gold rankings and computed rankings of the blocking keys. The proposed technique is evaluated using benchmark datasets and the experimental results confirm that the proposed technique outperforms the existing techniques. Journal: Int. J. of Business Information Systems Pages: 180-198 Issue: 2 Volume: 49 Year: 2025 Keywords: data integration; data cleansing; blocking; candidate record pairs; rank correlation; promising attributes; reduction ratio; recall. File-URL: http://www.inderscience.com/link.php?id=146600 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:2:p:180-198 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmad A. Rabaa'i Author-X-Name-First: Ahmad A. Author-X-Name-Last: Rabaa'i Title: Factors affecting the adoption of mobile grocery delivery applications Abstract: Studies on mobile grocery delivery applications (MGDAs) are scarce and still in the nascent stage. The current study is the first empirical study that investigates customers' behavioural intention to adopt MGDAs. This study extended the unified theory of acceptance and use of technology (UTAUT2) with important factors relevant to the MGDAs context, such as perceived risk, convenience, and delivery experience. Data was collected from 393 individuals in the State of Kuwait and were analysed using partial least squares structural equation modelling (PLS-SEM). The main empirical results confirmed that users' behavioural intention to adopt MGDAs is predicted by performance expectancy, effort expectancy, hedonic motivations, and delivery experience. The moderating role of gender was also examined. The permutation-based test results confirmed there are no statistically significant differences between males and females in their behavioural intentions to adopt MGDAs. Based on the study results, theoretical and practical contributions are provided for scholars, service providers, store owners, and app developers. Journal: Int. J. of Business Information Systems Pages: 248-298 Issue: 2 Volume: 49 Year: 2025 Keywords: behavioural intention; mobile grocery delivery apps; MGDAs; gender; UTAUT2; Kuwait. File-URL: http://www.inderscience.com/link.php?id=146601 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:2:p:248-298 Template-Type: ReDIF-Article 1.0 Author-Name: Ammar K. Almasri Author-X-Name-First: Ammar K. Author-X-Name-Last: Almasri Author-Name: Leila Erfannia Author-X-Name-First: Leila Author-X-Name-Last: Erfannia Author-Name: Sajad Mohabbati Author-X-Name-First: Sajad Author-X-Name-Last: Mohabbati Author-Name: Shafique Ur Rehman Author-X-Name-First: Shafique Ur Author-X-Name-Last: Rehman Author-Name: Ayman Alnaimi Author-X-Name-First: Ayman Author-X-Name-Last: Alnaimi Title: The THOE model to understand the critical factors affecting the decision to adopt picture archiving and communication system in hospitals based on TOE and HOT-fit model Abstract: Picture archiving and communication system (PACS) is one of the health information systems (HIS) invented to manage medical images in hospitals. The current study's main objective is to identify determinant factors that influence PACS adoption by physicians and radiology technicians. A total of 253 respondents from Iran were requested to participate in our study using the online Microsoft Forms service, and only 250 were returned. Physicians' and radiology technicians' perceptions were analysed using two software namely, SPSS and Smart-PLS. The findings also showed that the technological factors have a substantial influence that is slightly greater than that of human, organisational, and environmental on the attitude toward PACS system adoption (AD). In conclusion, this study's results determined that applying the THOE model is a suitable method to analyse physicians' and radiology technicians' behaviour in adopting innovative technology, such as PACS. Journal: Int. J. of Business Information Systems Pages: 218-247 Issue: 2 Volume: 49 Year: 2025 Keywords: PACS system; TOE model; HOT-fit model; THOE model; adoption. File-URL: http://www.inderscience.com/link.php?id=146602 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:2:p:218-247 Template-Type: ReDIF-Article 1.0 Author-Name: Sam Solaimani Author-X-Name-First: Sam Author-X-Name-Last: Solaimani Author-Name: Phoebe Long Author-X-Name-First: Phoebe Author-X-Name-Last: Long Title: Beyond the black box: operationalising explicability in artificial intelligence for financial institutions Abstract: Artificial intelligence (AI) is transforming the finance sector, driving advancements in fraud detection, risk profiling, and trading strategies. Despite its potential, AI requires robust governance to prevent perpetuating unconscious biases, achievable through the principle of explicability. This study examines explicability in ethical AI governance within finance, focusing on its conceptualisation and operationalisation. Drawing on interdisciplinary literature, the study conceptualises an integrative maturity framework around three core dimensions: transparency, interpretability, and accountability. The framework provides actionable guidance for operationalisation through progressive procedures, tools, and interventions. Empirical validation through expert interviews reveals that explicability should be addressed holistically, operationalised incrementally, and implemented consistently. The proposed explicability maturity framework supports firms in ethically and effectively adopting AI, advancing both academic discourse and industry practices. Journal: Int. J. of Business Information Systems Pages: 1-38 Issue: 5 Volume: 49 Year: 2025 Keywords: ethics; explicability; operationalisation; artificial intelligence; financial institutions; maturity model. File-URL: http://www.inderscience.com/link.php?id=146837 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:ijbisy:v:49:y:2025:i:5:p:1-38 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmad A. Rabaa'i Author-X-Name-First: Ahmad A. Author-X-Name-Last: Rabaa'i Title: FinTech in Kuwait: a survey study Abstract: Financial technologies, commonly known as FinTech, have gained a widespread attention in recent years given the potentials they have to revolutionise the entire financial industry and create a new ecosystem by cutting costs, improving the quality and the efficiency of financial services, providing more convenient customised, and automated services than those provided by traditional financial institutions. This study aims at investigating consumers' awareness, readiness, and perceptions toward FinTech products and services in the State of Kuwait, a Middle Eastern country, where to date, and to the best of our knowledge, no similar research study has been conducted. A questionnaire-based study was employed. Data from 314 respondents were analysed and compared with Ernst and Young FinTech Adoption Index, PwC Global FinTech report and other related academic literature. The study suggests several theoretical and practical implications that can provide rich insights to researchers, technology and finance professionals who are interested in the FinTech phenomenon. Journal: Int. J. of Business Information Systems Pages: 299-348 Issue: 3 Volume: 49 Year: 2025 Keywords: financial technologies; FinTech; FinTech products and services; FinTech adoption; Kuwait. File-URL: http://www.inderscience.com/link.php?id=146975 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:3:p:299-348 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Ibrahim Kamel Sweiss Author-X-Name-First: Mohammad Ibrahim Kamel Author-X-Name-Last: Sweiss Title: The influence of HR practices and diffusion of innovation theory towards adoption of internet of things in SMEs Abstract: The advent of digitalisation and internet of things (IOT) has changed existing values of businesses and organisations. Although IOT accelerates business performance however, the adoption of IOT is scarce among SMEs employees. This study assimilates diffusion of innovation theory and HR practices to investigate employee behaviour towards adoption of IOT. The framework of this research is tested with 274 responses. Data were analysed with structural equation modelling (SEM). Results indicate that exogenous variables had shown substantial variance in determining employee attitude (R<SUP align="right"><SMALL>2</SMALL></SUP> 51.1%) and adoption of IOT (R<SUP align="right"><SMALL>2</SMALL></SUP> 55.2%). The findings of the structural equation model had revealed that results demonstrability will strengthen the relationship between employee attitude and adoption of IOT. This study disclosed that factors such as compatibility, innovativeness, training and development, work environment, reward and recognition and employee attitude are the most influential factors to enhance employee adoption behaviour towards IOT in SMEs. Journal: Int. J. of Business Information Systems Pages: 390-411 Issue: 3 Volume: 49 Year: 2025 Keywords: internet of things; IOT; compatibility; innovativeness; results demonstrability; work environment; rewards and recognition; structural equation modelling; SEM. File-URL: http://www.inderscience.com/link.php?id=146981 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:3:p:390-411 Template-Type: ReDIF-Article 1.0 Author-Name: Faysal Mekkaoui Alaoui Author-X-Name-First: Faysal Mekkaoui Author-X-Name-Last: Alaoui Author-Name: Abdelaaziz El Hibaoui Author-X-Name-First: Abdelaaziz El Author-X-Name-Last: Hibaoui Title: E-commerce negotiation based on intelligent agents and mathematical interpolation Abstract: The actual model of electronic commerce offers only exploring the price of products and the unique method to attract customer is to discount price or reduce the delivery date or good terms of the warranty. Then, the buyer has no way to negotiate the price by cons the seller has two possibilities: to sell or not to sell. This impacts negatively on its profits or makes them extremely limited. This paper aims to deliver a solution to this issue by introducing an automated negotiation in e-commerce platforms using intelligent agents and mathematical interpolation to reach a compromise between a seller and the buyer. To achieve this goal, we elaborate a negotiation model based on intelligent agents and mathematical interpolation. Thus and according to obtained results, our solution helps to resolve the conflict of interest and provide an optimal price meeting with the expectations of both the seller and the buyer. Journal: Int. J. of Business Information Systems Pages: 372-389 Issue: 3 Volume: 49 Year: 2025 Keywords: electronic commerce; intelligent agents; mathematical interpolation; spline cubic; gravity centre. File-URL: http://www.inderscience.com/link.php?id=146982 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:3:p:372-389 Template-Type: ReDIF-Article 1.0 Author-Name: Bader A. Alyoubi Author-X-Name-First: Bader A. Author-X-Name-Last: Alyoubi Title: Examining the role of untact innovative technologies in restaurants and consumer purchase intention: tackling with post COVID-19 circumstances Abstract: The current research sought to investigate how untact innovative technologies, subjective norms and perceived behavioural control impact restaurant customers' purchase intention during COVID-19 pandemic. The research survey is conducted through online platforms including social media websites and direct e-mails to respondents. For data analysis, 370 valid questionnaires were used. Structural equation modelling approach was employed for data analysis. Findings of the structural equation modelling approach revealed that collectively subjective norms, perceived behavioural control, expected cleanliness, lower employee interaction and customer attitude explained R<SUP align="right"><SMALL>2</SMALL></SUP> 77.1% substantial variance towards customer purchase intention. This study suggests that policy makers should introduce untact innovative technologies that will reduce employee interaction with customers. Similarly, cleaning through ultraviolet radiation will encourage customers to purchase food in untact environment during COVID-19 pandemic. This research is significant as it provides innovative solution for hospitality industry during and post COVID-19 pandemic crisis using untact innovative technologies. Journal: Int. J. of Business Information Systems Pages: 412-430 Issue: 3 Volume: 49 Year: 2025 Keywords: untact innovative technologies; employee interaction; expected cleanliness; subjective norm; perceived behavioural control; purchase intention; COVID-19. File-URL: http://www.inderscience.com/link.php?id=146983 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:3:p:412-430 Template-Type: ReDIF-Article 1.0 Author-Name: Mahmoud Aleqab Author-X-Name-First: Mahmoud Author-X-Name-Last: Aleqab Author-Name: Rana Airout Author-X-Name-First: Rana Author-X-Name-Last: Airout Author-Name: Qasim Alawaqleh Author-X-Name-First: Qasim Author-X-Name-Last: Alawaqleh Author-Name: Nashat Almasria Author-X-Name-First: Nashat Author-X-Name-Last: Almasria Title: The mediating role of innovation in the relationship between corporate governance and organisation performance Abstract: This study primarily aimed to present the impact of corporate governance and innovation on the performance of industrial firms. The study developed and proposed a conceptual model based on relevant studies in literature. The required data was collected from financial SMEs in Jordan with the help of questionnaire surveys, after which they were analysed using PLS-SEM to obtain empirical findings. On the basis of the results, there is a positive relationship between corporate governance and organisational performance, and between innovation and organisational performance. The result also showed the key role that innovation plays on the corporate governance-organisational performance relationship. The study has implications to policymakers in light of establishing strong policies to ensure effective corporate governance is practice in the enterprises for optimum performance. Journal: Int. J. of Business Information Systems Pages: 431-444 Issue: 3 Volume: 49 Year: 2025 Keywords: innovation; corporate governance; organisation performance. File-URL: http://www.inderscience.com/link.php?id=146984 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:3:p:431-444 Template-Type: ReDIF-Article 1.0 Author-Name: Poh Soon JosephNg Author-X-Name-First: Poh Soon Author-X-Name-Last: JosephNg Title: Organic virtualisation for medium size enterprise during pandemic uncertainty Abstract: Medium size enterprise direction towards ICT framework is hauled by financial turbulence. The research incites the different inheritance IT framework model utilised in the item of innovation and disrupting advancement with evaporating seriousness towards IT foundation streamlining. This PLS-SEM blended mix mode technique with double information test-retest consecutive plan approach limits dim viewpoints and conclusions to explain the course of the event of action that prompts the advancement allocation. The discoveries uncovered the stunning actuality that 33% of absolute interests in technology were classified as ineffective projects, making for lost time between the business contenders whilst putting most gear underused and faulty business prospects whilst considering venture depreciation. BOINC freeware grid processing incorporated CPU and disk highlights been utilised to expand. The commitment of the review proposed an adaptable organic IT framework towards the formation of exostructure as a service that can be utilised towards the IT administration handbook. Journal: Int. J. of Business Information Systems Pages: 349-371 Issue: 3 Volume: 49 Year: 2025 Keywords: BOINC; cloud computing; framework; infrastructure as a service; IaaS; grid computing; model; optimisation; small and medium sized enterprise; technology acceptance model; virtualisation. File-URL: http://www.inderscience.com/link.php?id=146985 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:3:p:349-371 Template-Type: ReDIF-Article 1.0 Author-Name: Syed Mohd Minhaj Author-X-Name-First: Syed Mohd Author-X-Name-Last: Minhaj Author-Name: M. Altaf Khan Author-X-Name-First: M. Altaf Author-X-Name-Last: Khan Title: Performance of online banking and direct effect of service quality on consumer retention and credibility of consumer and mediation effect of consumer satisfaction Abstract: The purpose of this study is to assess the present status of online banking in India. This research paper is an attempt to identify the effect of online banking service quality on consumer retention and the credibility of consumers in India. The data was collected using Google Forms via an online questionnaire with a sample size of 176 respondents. A quota sampling technique was used; structure equation modelling (SEM), convergent and discriminant validity, and model fitness were achieved through Smart PLS 3. The findings reveal that service quality has a significant direct effect on consumer retention, credibility of consumers, and consumer satisfaction, with a significant mediation effect of consumer satisfaction on consumer retention and credibility of consumers. Journal: Int. J. of Business Information Systems Pages: 473-490 Issue: 4 Volume: 49 Year: 2025 Keywords: online banking; service quality; retention; credibility. File-URL: http://www.inderscience.com/link.php?id=147809 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:4:p:473-490 Template-Type: ReDIF-Article 1.0 Author-Name: Dulat N. Shukayev Author-X-Name-First: Dulat N. Author-X-Name-Last: Shukayev Author-Name: Chingiz Kussainov Author-X-Name-First: Chingiz Author-X-Name-Last: Kussainov Author-Name: Aggey Simons Author-X-Name-First: Aggey Author-X-Name-Last: Simons Title: Analysis and selection of investment objects and optimisation of investment volumes Abstract: In their investment decisions commercial banks and private funds traditionally evaluate projects-based solely on their private returns, while often neglecting social and environmental concerns. More recently, however, climate change fears and rising inequality prompted calls for more environmentally and socially responsible governance of investment activities (ESG initiatives). For example, numerous pension funds and development agencies started shifting investment priorities away from fossil fuels toward renewable energy production. These efforts are hindered by the absence of well-developed techniques for evaluating investment projects in terms of their social and environmental impacts. This study investigates and outlines possible strategies for integrating social and environmental priorities into an investment selection process. We developed project selection and evaluation processes that a national development agency or a public fund could employ to enhance social effectiveness of its investment activities. More specifically, our general pre-investment evaluation procedure includes algorithms for determining optimal investment portfolios, taking in account both standard financial profitability criteria and ESG priorities. Journal: Int. J. of Business Information Systems Pages: 554-570 Issue: 4 Volume: 49 Year: 2025 Keywords: investment analysis; ESG priorities; Borda method; expert evaluations; investment portfolio optimisation; expansion method. File-URL: http://www.inderscience.com/link.php?id=147810 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:4:p:554-570 Template-Type: ReDIF-Article 1.0 Author-Name: Benjamin Dethine Author-X-Name-First: Benjamin Author-X-Name-Last: Dethine Author-Name: Davy Monticolo Author-X-Name-First: Davy Author-X-Name-Last: Monticolo Author-Name: Daniel Galvez Author-X-Name-First: Daniel Author-X-Name-Last: Galvez Author-Name: Manon Enjolras Author-X-Name-First: Manon Author-X-Name-Last: Enjolras Title: Towards a tridimensionality model to measure the digital maturity of industrial small and medium enterprises Abstract: The digital transformation is a movement that affects many fields, from health to industry to finance. If most companies have understood the need to integrate this movement into their strategy, some face difficulties understanding the need to adapt and take these changes into account in their development. This is particularly the case for small companies engaging in their digital transformation. These profound changes then require the implementation of action plans, the mobilisation of additional resources, investments, new human resources, and evolutions in business practices. The literature shows that the assessment of competencies and the assessment of organisational capacity are part of the measurement of digital maturity. Considering small and medium-sized industrial companies and highlighting their characteristics, the study will present a global model based on three dimensions, organisational, human, and digital, to measure the digital maturity of these companies to be assessed through practices. Journal: Int. J. of Business Information Systems Pages: 571-600 Issue: 4 Volume: 49 Year: 2025 Keywords: digital transformation; evaluation; framework; industrial SME; digital maturity. File-URL: http://www.inderscience.com/link.php?id=147812 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:4:p:571-600 Template-Type: ReDIF-Article 1.0 Author-Name: Emiliano Soares Monteiro Author-X-Name-First: Emiliano Soares Author-X-Name-Last: Monteiro Author-Name: Rodrigo da Rosa Righi Author-X-Name-First: Rodrigo da Rosa Author-X-Name-Last: Righi Author-Name: Jorge Luis Victória Barbosa Author-X-Name-First: Jorge Luis Victória Author-X-Name-Last: Barbosa Author-Name: Lucas Micol Policarpo Author-X-Name-First: Lucas Micol Author-X-Name-Last: Policarpo Author-Name: Antônio Marcos Alberti Author-X-Name-First: Antônio Marcos Author-X-Name-Last: Alberti Title: Blockchain in the reverse agrochemical supply chain: a systematic mapping study Abstract: A product supply chain represents the end-to-end path from a factory to the final consumer. Specific chemical packaging unsuitable for use must return to the manufacturer for disposal or recycling. Agrochemical products appear in this scope. Disruptive technologies are being employed to identify the trajectories of these products. Blockchain appears as one of the most innovative. However, no literature reviews focus on this joint combination of blockchain for agrochemical products. This article presents a systematic literature review. We conducted a systematic literature review to analyse academic articles between 2016 and 2020, and the process resulted in a total of 99 papers analysed. We summarise our contributions as two-fold: 1) an analysis of the state-of-the-art agrochemical products reverse supply chain and the use of blockchain, highlighting challenges and trends; 2) a novel taxonomy to support researchers, government, and retail to address blockchain with agrochemicals. Journal: Int. J. of Business Information Systems Pages: 491-526 Issue: 4 Volume: 49 Year: 2025 Keywords: blockchain; traceability; reverse supply chain; product life cycle; agrochemicals. File-URL: http://www.inderscience.com/link.php?id=147813 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:4:p:491-526 Template-Type: ReDIF-Article 1.0 Author-Name: P.S. Nagarajan Author-X-Name-First: P.S. Author-X-Name-Last: Nagarajan Author-Name: A. Martina Author-X-Name-First: A. Author-X-Name-Last: Martina Title: An investigation on the influence of YouTube advertising on the purchase intention of nutritional drinks during COVID pandemic Abstract: In the era of social media, YouTube platform is substantially used by marketers and consumers for their preferred needs. Inter alia, hedonic motivation and persuasiveness of consumers and advertisements respectively have been probed to explain the purchase intention. Ducoffe's web advertising model was employed, and a cross-sectional design was administered to collect data from 517 YouTube users in India. Structural equation modelling was used to analyse the data. The results indicate that credibility and entertainment are the two major factors that lead to persuasiveness and befit the hedonic needs of the consumers during COVID pandemic which finally results in consumers' purchase intention. This research signifies that the advertisements played a significant role in luring the consumers towards nutritional drinks, during ordinary situations. Further, it was empirically proved that the frequency of viewing YouTube significantly impacts hedonic motivation and persuasiveness and ultimately results in the purchase intention of nutritional drinks. Journal: Int. J. of Business Information Systems Pages: 527-553 Issue: 4 Volume: 49 Year: 2025 Keywords: YouTube advertising; Ducoffe's web advertising; hedonic motivation; persuasiveness; informativeness; consumers purchase intention; nutritional drinks. File-URL: http://www.inderscience.com/link.php?id=147815 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:4:p:527-553 Template-Type: ReDIF-Article 1.0 Author-Name: Santanu Mandal Author-X-Name-First: Santanu Author-X-Name-Last: Mandal Author-Name: R. Radhika Author-X-Name-First: R. Author-X-Name-Last: Radhika Author-Name: Swetha Sunil Kumar Author-X-Name-First: Swetha Sunil Author-X-Name-Last: Kumar Author-Name: Payel Das Author-X-Name-First: Payel Author-X-Name-Last: Das Title: 'I often get tempted ...... to use mobile food apps': understanding the perceived utility of mobile food apps Abstract: Our study explored the role of mobile attachment, facilitating conditions, social influence, timesaving, price saving, and food quality concerns in the development of perceived ease of use and usefulness of mobile food apps. Furthermore, mobile food apps' ease of use and usefulness on behavioural intentions are also explored. A cross-sectional survey was conducted to collect and validate the proposed association. Data were collected from 172 individuals who frequently used mobile food apps to order food and were analysed using confirmatory factor analysis and structural equation modelling. Findings suggest a prominent role of mobile attachment, facilitating conditions, social influence, time saving, price saving, and food quality concern in developing perceived usefulness and ease of use of mobile food apps. Furthermore, mobile food apps' ease of use and usefulness also positively influence recommend intention and intention to use new apps. Journal: Int. J. of Business Information Systems Pages: 445-472 Issue: 4 Volume: 49 Year: 2025 Keywords: mobile attachment; perceived ease of use; PEU; usefulness; food apps; behavioural intentions. File-URL: http://www.inderscience.com/link.php?id=147819 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:49:y:2025:i:4:p:445-472 Template-Type: ReDIF-Article 1.0 Author-Name: Mathupayas Thongmak Author-X-Name-First: Mathupayas Author-X-Name-Last: Thongmak Title: Message characteristics of tweets and retweets from public and private bank users in Thailand Abstract: Analysing user-generated content is crucial for banks to develop their strategies. This study thus explores the message characteristics of user tweets and bank tweets being retweeted by users, differences between public and private banks, and impact on the electronic word-of-mouth (eWOM) behaviour of users. User tweets from seven banks and bank tweets from nine banks in Thailand are collected. Descriptive statistics, chi-square test, Mann-Whitney U, and hierarchical multiple regression are employed. There are differences in message content in terms of place-related, promotion-related, and responsiveness-related content mentioned between private banks' user tweets and public banks' user tweets. Hashtags and price-related content drive eWOM. The results reveal the difference between public-bank and private-bank users in their communications with banks and guide public and private banks' marketers in their social media strategies. This study offers insights into user perceptions of Thai banks through X (previously called Twitter). Journal: Int. J. of Business Information Systems Pages: 1-36 Issue: 5 Volume: 50 Year: 2025 Keywords: Twitter; content analysis; social sensing; marketing mix; service quality; banking industry; Thailand. File-URL: http://www.inderscience.com/link.php?id=148207 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:ijbisy:v:50:y:2025:i:5:p:1-36 Template-Type: ReDIF-Article 1.0 Author-Name: Aya Migdady Author-X-Name-First: Aya Author-X-Name-Last: Migdady Author-Name: Ahmad Alaiad Author-X-Name-First: Ahmad Author-X-Name-Last: Alaiad Author-Name: Ra'ed M. Al-Khatib Author-X-Name-First: Ra'ed M. Author-X-Name-Last: Al-Khatib Title: EfficientNet deep learning model for pneumothorax disease detection in chest X-ray images Abstract: Pneumothorax is a serious, life-threatening disease resulting from a collapsed lung and respiratory distress that requires prompt and effective diagnosis. The common diagnoses of pneumothorax disease are reliant on chest X-rays. Automatic ways that can fulfill the accurate detection of pneumothorax from chest X-ray images assist radiologists in diagnoses and treatment. In this paper, convolution neural network (CNN) model instituted on the EfficientNet-B3 architecture was proposed to train a dataset of pneumothorax chest X-ray images. The used pneumothorax dataset has 2,027 chest X-ray images. Data augmentation processes have been applied before feeding the main proposed model with these data. This prepossessing technique is required to solve data imbalanced issues and to enhance utmost accuracy. The dataset is split into training and testing data with 80:20 ratio. The experimental outputs of this study proved that the proposed approach can accurately detect the afflicted pneumothorax chest X-ray images with the best accuracy results reaching 97.26% at the testing dataset, when compared with other state-of-the-art models. Consequently, these strong outcomes with the efficient performance of final obtained outcomes will increase the impact of clinical training and patient nursing. Journal: Int. J. of Business Information Systems Pages: 1-21 Issue: 1 Volume: 50 Year: 2025 Keywords: artificial intelligence; convolution neural network; CNN; EfficientNet-B3; data augmentation; X-ray images; pneumothorax. File-URL: http://www.inderscience.com/link.php?id=148498 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:1:p:1-21 Template-Type: ReDIF-Article 1.0 Author-Name: Hafsa Hamid Author-X-Name-First: Hafsa Author-X-Name-Last: Hamid Author-Name: Kanwal Iqbal Khan Author-X-Name-First: Kanwal Iqbal Author-X-Name-Last: Khan Author-Name: Syed Khurram Abbas Sherazia Author-X-Name-First: Syed Khurram Abbas Author-X-Name-Last: Sherazia Title: Will I use it again? Impact of customer behavioural intentions on FinTech continuance under expectation confirmation theory Abstract: Financial technology (FinTech) services are becoming more prevalent during the COVID-19 pandemic, leading individuals to adopt digital methods for financial transactions worldwide. However, its future implications are still doubtful. The current study analyses the relationship between the customers' behavioural intentions and continuance of FinTech services with the mediating role of confirmation and satisfaction during their perceptions in the post-usage phase. Data were collected through questionnaires survey from the targeted respondents after pre-screening questions about the FinTech services. The findings revealed that perceived usefulness, security, risk, and knowledge significantly affect FinTech continuance through confirmation and satisfaction. The data were further divided according to user types of technology adopters. The results revealed that late adopters require more knowledge about FinTech services for continuing their usage. These findings will be helpful for FinTech companies to develop customer retention strategies that will drive customers towards its continuous usage and help companies yield high returns. Journal: Int. J. of Business Information Systems Pages: 22-47 Issue: 1 Volume: 50 Year: 2025 Keywords: behavioural customer intention; financial technology; expectancy confirmation model; continuance intention; digital methods; financial transactions; perceived risk. File-URL: http://www.inderscience.com/link.php?id=148499 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:1:p:22-47 Template-Type: ReDIF-Article 1.0 Author-Name: Wiwit Apit Sulistyowati Author-X-Name-First: Wiwit Apit Author-X-Name-Last: Sulistyowati Author-Name: Ibrahim Alrajawy Author-X-Name-First: Ibrahim Author-X-Name-Last: Alrajawy Author-Name: Osama Isaac Author-X-Name-First: Osama Author-X-Name-Last: Isaac Author-Name: Azam Abdelhakeem Khalid Author-X-Name-First: Azam Abdelhakeem Author-X-Name-Last: Khalid Title: Examining the intention to use mobile banking: an expansion of the unified theory of acceptance and use of technology with information quality Abstract: Mobile banking is one of the bank services that has adapted to technological advancements in order to make banking transactions more convenient. In Indonesia, however, digital banking is advancing rapidly, but 'mobile banking' acceptance remains low. Therefore, this study aims to predict bank clients' intention to use 'mobile banking'. This study uses a quantitative approach and survey method to examine the bank clients in Indonesia regarding 'mobile banking' services. Structural equation modelling through smart PLS was employed to analyse 396 collected data. The findings indicated that performance expectancy was the strongest predictor, followed by facilitating conditions and information quality. While effort expectancy and social influence have no important influence. The contribution of this study is to give new insight into the 'mobile banking' literature regarding the importance of information quality. Journal: Int. J. of Business Information Systems Pages: 48-68 Issue: 1 Volume: 50 Year: 2025 Keywords: intention to use; information quality; Indonesia; mobile banking; technology adoption; unified theory of acceptance and use of technology; UTAUT. File-URL: http://www.inderscience.com/link.php?id=148500 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:1:p:48-68 Template-Type: ReDIF-Article 1.0 Author-Name: Albi Thomas Author-X-Name-First: Albi Author-X-Name-Last: Thomas Author-Name: M. Suresh Author-X-Name-First: M. Author-X-Name-Last: Suresh Title: Development of a sustainability assessment framework for hospitals using multi-grade fuzzy Abstract: The primary aim of this paper is to develop a sustainability assessment framework for hospitals. The conceptual framework is developed with six enablers, 16 criteria and 60 attributes. Multi-grade fuzzy is used for sustainability assessment and importance performance analysis (IPA) approach is used for classification of attributes. The sustainability index of the case hospital is 7–8 i.e., highly sustainable. The study identified 14 weaker attributes to be taken into consideration for improving the sustainability level. This assessment framework will help hospital managers to enhance the sustainability level of the hospitals. Journal: Int. J. of Business Information Systems Pages: 113-135 Issue: 1 Volume: 50 Year: 2025 Keywords: sustainability; assessment; technological sustainability; hospitals; multi-grade fuzzy; importance performance analysis; IPA. File-URL: http://www.inderscience.com/link.php?id=148501 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:1:p:113-135 Template-Type: ReDIF-Article 1.0 Author-Name: P. Sridevi Author-X-Name-First: P. Author-X-Name-Last: Sridevi Author-Name: N. Manoraj Author-X-Name-First: N. Author-X-Name-Last: Manoraj Author-Name: Lakshmi Narasimhan Vedanthachari Author-X-Name-First: Lakshmi Narasimhan Author-X-Name-Last: Vedanthachari Title: Consumer confusion and its consequential outcome towards online review: the mediated role of emotional ambivalence and cognitive dissonance Abstract: The purpose of this research is to improve our understanding of consumer confusion and its consequences on individual information adoption. Besides giving an idea about various triggers of consumer confusion, this study aims to explore the relationship between different consumer confusions and their reliance on online reviews. The research uses a structural equation modelling approach with 402 valid responses to examine how confusion could lead to pre-purchase cognitive dissonance and emotional ambivalence. Additionally, the study focuses on the mediating role of both pre-purchase cognitive dissonance and emotional ambivalence towards reliance on reviews. The finding shows that price confusion dominates reliance on reviews. In addition, both product and price confusion are positively related to emotional ambivalence. Under mediation, emotional ambivalence dominates both the price and product-related confusion towards reliance on reviews. Overall, the framework designed could help digital marketers understand the confusion of online shoppers and their susceptibility towards online reviews. Journal: Int. J. of Business Information Systems Pages: 87-112 Issue: 1 Volume: 50 Year: 2025 Keywords: consumer confusion; price and product confusion; pre-purchase cognitive dissonance; emotional ambivalence; online reviews. File-URL: http://www.inderscience.com/link.php?id=148502 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:1:p:87-112 Template-Type: ReDIF-Article 1.0 Author-Name: Ayse Elvan Bayraktaroglu Author-X-Name-First: Ayse Elvan Author-X-Name-Last: Bayraktaroglu Author-Name: Uzeyfe Kilicgil Author-X-Name-First: Uzeyfe Author-X-Name-Last: Kilicgil Author-Name: Fethi Calisir Author-X-Name-First: Fethi Author-X-Name-Last: Calisir Author-Name: Esin Ergen Author-X-Name-First: Esin Author-X-Name-Last: Ergen Title: The relative importance of usability and functionality factors for the users of building information modeling software packages Abstract: BIM has been attracting attention in the architecture, engineering, and construction industries as a useful tool to prevent poor productivity, which has been a prevalent issue in these sectors. However, there are still some barriers to the faster adoption of BIM software. Functionality and usability are two critical factors affecting information systems' acceptability by the users. This study aims to determine the interrelationships among the usability and functionality factors in the context of BIM software. For this purpose, two BIM software packages, Autodesk Revit and Allplan Architecture have been selected and evaluated. According to the relative importance preferences of end-users of these BIM software packages, functionality and usability are equally important for BIM software designs. The most critical factors are memorability and customer support/services, followed by customisability, ease of use, and learnability. Journal: Int. J. of Business Information Systems Pages: 69-86 Issue: 1 Volume: 50 Year: 2025 Keywords: usability; functionality; building information modeling; BIM; analytic network process; ANP. File-URL: http://www.inderscience.com/link.php?id=148503 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:1:p:69-86 Template-Type: ReDIF-Article 1.0 Author-Name: Chidera Christian Ugwuanyi Author-X-Name-First: Chidera Christian Author-X-Name-Last: Ugwuanyi Author-Name: Chukwunonso Oraedu Author-X-Name-First: Chukwunonso Author-X-Name-Last: Oraedu Author-Name: Shedrack Chinwuba Moguluwa Author-X-Name-First: Shedrack Chinwuba Author-X-Name-Last: Moguluwa Title: Self-service technologies experience, customers' satisfaction and reuse intention in retail banking: evidence from Nigeria Abstract: With the emergence of SSTs across retail banking services, several calls have been made to investigate customer experience on the use of SSTs and to deepen understanding of the dimensionalities of the experience construct and how they affect customers' behaviour. It is on this backdrop that this study sets out to examine bank SSTs experience and its effect on satisfaction and reuse intention. The paper also examined the indirect effect of satisfaction in the relationship between customers experience and reuse intention. A web-based survey approach was utilised to sample bank SSTs users in a university community setting. The partial least square structural equation modelling was used to analyse the proposed model. Results show the ability of the two dimensions of customer experiences modelled in this paper to strongly influence customers' satisfaction and reuse intention. Also, the controlled analyses revealed indirect relationships between the experience constructs and reuse intention. Journal: Int. J. of Business Information Systems Pages: 191-214 Issue: 2 Volume: 50 Year: 2025 Keywords: self-service technologies; SSTs; customer experience; retail banking; reuse intention; customer satisfaction; Nigeria. File-URL: http://www.inderscience.com/link.php?id=148790 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:2:p:191-214 Template-Type: ReDIF-Article 1.0 Author-Name: Dhanashree Tharkude Author-X-Name-First: Dhanashree Author-X-Name-Last: Tharkude Author-Name: Aparna Dixit Author-X-Name-First: Aparna Author-X-Name-Last: Dixit Author-Name: Jacob Alexander Author-X-Name-First: Jacob Author-X-Name-Last: Alexander Title: Exit interview: a tool for employee retention Abstract: The study aims to understand the current process of exit interviews carried out by the organisation and identify any deficiencies in the process. The study also aims at identifying more effective ways to conduct exit interviews for their proper impact and utility. The systematic review of literature highlighted how to make exit interviews more effective. Further, the efficiency of the process can be improved with the help of multiple tools/techniques. Since the scope of the study is limited to the state of Maharashtra. The findings of the study apply only to that area. The framework of the review of literature and results provide insights into the professionals about flaws in the existing exit interview process and ways to make it practical for its successful implementation in the current business context and provide insights into current trends and future research directions. Journal: Int. J. of Business Information Systems Pages: 239-257 Issue: 2 Volume: 50 Year: 2025 Keywords: literature review; exit interview; outsourcing; stay interview; alternative approach. File-URL: http://www.inderscience.com/link.php?id=148791 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:2:p:239-257 Template-Type: ReDIF-Article 1.0 Author-Name: Roger McHaney Author-X-Name-First: Roger Author-X-Name-Last: McHaney Author-Name: Iris Reychav Author-X-Name-First: Iris Author-X-Name-Last: Reychav Author-Name: Lutfus Sayeed Author-X-Name-First: Lutfus Author-X-Name-Last: Sayeed Author-Name: Lin Zhu Author-X-Name-First: Lin Author-X-Name-Last: Zhu Title: Gender impact on online classroom social networks for working professionals Abstract: This study investigated gender impact on interactions within an online social network composed of Professional Master of Business Administration (PMBA) students. The findings enable educators to construct more effective online social networks. Participants engaged in discussions using a platform called VoiceThread. These discussions comprised text, audio and video components. Emerging dynamics were examined with social network analysis (SNA) and sentiment analysis (SA) techniques. Social presence and discussion quality characteristics were based on collected data. Among the findings were that males made multimedia posts more commonly than females. Responses to multimedia posts typically were higher quality suggesting greater social presence related to more engaged discussions. Regarding SNA outcomes, higher centrality correlated with comment positivity. Among the unique findings, males responded to female-initiated threads more negatively than did other females. In conclusion, our results indicated that gender impacts classroom discussions. Ultimately, educator awareness of this impact can enhance equitable use of social networks in higher education. Journal: Int. J. of Business Information Systems Pages: 137-166 Issue: 2 Volume: 50 Year: 2025 Keywords: online learning; social media; network analysis; gender; social presence; gender; working professional; online discussions; social networking; social network analysis; SNA. File-URL: http://www.inderscience.com/link.php?id=148792 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:2:p:137-166 Template-Type: ReDIF-Article 1.0 Author-Name: Krishnan Gopinath Author-X-Name-First: Krishnan Author-X-Name-Last: Gopinath Author-Name: Sudharsan Sezhian Author-X-Name-First: Sudharsan Author-X-Name-Last: Sezhian Title: Exploring employees' intentions in adopting telecommuting technology Abstract: Telecommuting or work-from-home facilitates flexible working arrangements for employees; also, since there is no commute involved, particularly car commute, it also promotes sustainable travel behaviour. Despite the growth and popularity of this mode of working, there is a gap in understanding regarding the adoption of telecommuting technologies. Hence, this study has developed a novel research model that integrates the technology acceptance model (TAM) with the diffusion of innovation (DOI) theory and has extended it with the constructs, security risk and resistance to change, in order to advance the understanding of the adoption of telecommuting technologies. The research model was estimated using the structured equation modelling (PLS-SEM) based on empirical data (N = 332). The results revealed perceived usefulness, perceived ease of use, attitude, compatibility, and resistance to change, as the predictors of behavioural intention. Compatibility emerged as a predictor of perceived ease of use. Further, perceived ease of use and compatibility emerged as antecedents of perceived usefulness. The study contributes to the literature on telecommuting adoption by extending the TAM and DOI. The findings of the study would provide valuable insights for the designers, practitioners, and policymakers involved in the development of telecommuting technologies. Journal: Int. J. of Business Information Systems Pages: 167-190 Issue: 2 Volume: 50 Year: 2025 Keywords: telecommuting technology; technology acceptance model; TAM; diffusion of innovation theory; security risk; resistance to change; dual-factor model. File-URL: http://www.inderscience.com/link.php?id=148793 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:2:p:167-190 Template-Type: ReDIF-Article 1.0 Author-Name: Syed Abdullah Ashraf Author-X-Name-First: Syed Abdullah Author-X-Name-Last: Ashraf Author-Name: Aariz Faizan Javed Author-X-Name-First: Aariz Faizan Author-X-Name-Last: Javed Author-Name: Pradip Kumar Bala Author-X-Name-First: Pradip Kumar Author-X-Name-Last: Bala Author-Name: Rashmi Jain Author-X-Name-First: Rashmi Author-X-Name-Last: Jain Author-Name: Zainab Fatma Author-X-Name-First: Zainab Author-X-Name-Last: Fatma Title: A novel framework for automatic incentivised review detection Abstract: Incentivised reviews are a permanent threat to the credibility of information available on a platform. They not only interfere with the consumer decision-making process but also impact the market dynamics. We have proposed a rule-based method for identifying incentivised reviews in the hospitality domain. We then extracted several features from the meta-feature. These features were transformed using mathematical functions. The study showed that power transformation along with XGBoost is best suited for the task. Our work has both practical and managerial implications. Our model is lightweight, scalable, and generalisable. Moreover, platforms can use our model with a fake review detection method to safeguard the interest of honest, hardworking sellers and buyers looking for trustworthy information. Based on our research, our work is among the first few to address incentivised review detection in the hospitality sector. Journal: Int. J. of Business Information Systems Pages: 215-238 Issue: 2 Volume: 50 Year: 2025 Keywords: user-generated content; incentivised reviews detection; incentivised reviews identification; natural language processing; text processing; Yelp; Amazon; Tripadvisor; trust; credibility; fake reviews; feature transformation; feature engineering. File-URL: http://www.inderscience.com/link.php?id=148794 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:2:p:215-238 Template-Type: ReDIF-Article 1.0 Author-Name: Hani Al-Dmour Author-X-Name-First: Hani Author-X-Name-Last: Al-Dmour Author-Name: Shatha Awni Sweiti Author-X-Name-First: Shatha Awni Author-X-Name-Last: Sweiti Author-Name: Farah Shishan Author-X-Name-First: Farah Author-X-Name-Last: Shishan Author-Name: Rand Al-Dmour Author-X-Name-First: Rand Author-X-Name-Last: Al-Dmour Author-Name: Manaf Al-Okaily Author-X-Name-First: Manaf Author-X-Name-Last: Al-Okaily Title: Does social media advertising value influence women's dietary supplement purchase intentions? The mediating role of eWOM Abstract: This study aims to investigate the role of electronic word of mouth (eWOM) as a mediating factor between the value of social media advertising (informativeness, entertainment, and credibility) and women's dietary supplement purchasing intentions. The convenience sample included 317 women who use social media platforms and live in Amman, Jordan's capital and largest city. Data was obtained using an online survey and analysed using multiple regression analysis and ANOVA. The research showed that the value of social media advertising and eWOM has a strong positive impact on women's dietary supplement purchasing intentions. Furthermore, it revealed the partial effect of eWOM on the relationship mentioned above. This research contributes to the gap in the literature about the role of eWOM as a mediating factor in the relationship between social media advertising value and women's purchasing intentions in developing countries. Journal: Int. J. of Business Information Systems Pages: 258-280 Issue: 2 Volume: 50 Year: 2025 Keywords: eWOM; social media advertising value; informativeness; entertainment; credibility; purchase intention. File-URL: http://www.inderscience.com/link.php?id=148795 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:2:p:258-280 Template-Type: ReDIF-Article 1.0 Author-Name: Hung Quang Le Author-X-Name-First: Hung Quang Author-X-Name-Last: Le Author-Name: Tam Phuong Thi Nguyen Author-X-Name-First: Tam Phuong Thi Author-X-Name-Last: Nguyen Title: Tourism enterprise competitiveness model: a study in Dong Nai, Binh Thuan and Khanh Hoa, Vietnam - literature review Abstract: The paper presents findings received from an analysis of over 150 studies exploring the factors that enhance the competitiveness of tourism enterprises in Vietnam, focusing specifically on the provinces of Dong Nai, Binh Thuan and Khanh Hoa. These three provinces are notable for their advanced high-speed transportation infrastructure, which aims to boost the competitive advantage of tourism destinations and attract more potential visitors. In this literature review, the author employed qualitative research methods to develop nine independent variables, one intermediary variable, and one dependent variable, drawing on five domestic and international research articles. This serious approach culminated in a quantitative research process designed to validate the model, which comprises 11 hypotheses, thereby reinforcing the significance of the research. Journal: Int. J. of Business Information Systems Pages: 1-16 Issue: 6 Volume: 50 Year: 2025 Keywords: competitiveness; tourism enterprises; Dong Nai; Binh Thuan; Khanh Hoa; Vietnam. File-URL: http://www.inderscience.com/link.php?id=149015 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:ijbisy:v:50:y:2025:i:6:p:1-16 Template-Type: ReDIF-Article 1.0 Author-Name: Lana Sularto Author-X-Name-First: Lana Author-X-Name-Last: Sularto Author-Name: Nelli Kozlova Author-X-Name-First: Nelli Author-X-Name-Last: Kozlova Title: Social media marketing role on online purchasing decisions in Indonesia Abstract: This study explores how advertising programmes and social media marketing shape the way Indonesian consumers process ads and ultimately make online purchase decisions. We surveyed 579 internet users across 15 provinces in Indonesia, analysing their responses using structural equation modelling (SEM). The findings reveal that both advertising programmes and social media marketing play a direct role in influencing how people engage with ads and make buying choices online. Interestingly, while social media marketing does not directly push consumers to click 'buy', it does shape how they perceive and process ad content - which then nudges them toward a purchase. In other words, social media's real power lies in shaping consumer awareness and attitudes, which later translate into sales. These insights suggest that brands should focus not just on pushing promotions but also on crafting engaging, thought-provoking social media content that guides consumers toward confident purchasing decisions. Journal: Int. J. of Business Information Systems Pages: 1-22 Issue: 7 Volume: 50 Year: 2025 Keywords: advertising programmes; social media marketing; information processing; online purchasing decisions; Indonesia. File-URL: http://www.inderscience.com/link.php?id=149394 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:ijbisy:v:50:y:2025:i:7:p:1-22 Template-Type: ReDIF-Article 1.0 Author-Name: M. Kiran Author-X-Name-First: M. Author-X-Name-Last: Kiran Author-Name: S. Prasanna Venkatesan Author-X-Name-First: S. Prasanna Author-X-Name-Last: Venkatesan Title: A spreadsheet-based decision support tool to assist small and medium-sized e-waste and lithium-ion battery recyclers for economic assessment Abstract: In many developing countries, including India, informal e-waste recyclers offer competitive prices as compared to formal recyclers. To manage this price competition, the small and medium-sized formal recyclers store the collected e-waste until the required volume is sourced for economical processing. Typically, the recyclers rely on their personal experience to decide the required volume for economical processing, albeit e-waste recycling is a relatively new business. The contributions of this research are: 1) to identify the factors that affect economic recycling of e-waste/lithium-ion batteries (LIBs) through literature and interactions with formal e-waste recyclers in India; 2) to develop and illustrate a simple, inexpensive, and easy to use open source decision support tool in Microsoft Excel spreadsheet to assist the formal recyclers in the economic assessment of e-waste/LIBs to maximise profit. The developed tool consists of three modules: 1) user interface; 2) data storage worksheets; 3) optimiser. Journal: Int. J. of Business Information Systems Pages: 294-311 Issue: 3 Volume: 50 Year: 2025 Keywords: cost analysis; decision support systems; environmental management; mathematical programming; modelling; optimisation; lithium-ion batteries; LIBs. File-URL: http://www.inderscience.com/link.php?id=149535 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:3:p:294-311 Template-Type: ReDIF-Article 1.0 Author-Name: David C. Chou Author-X-Name-First: David C. Author-X-Name-Last: Chou Title: Big data and IoTs: security and standard issues Abstract: Big data has gained its importance nowadays. The internet of things (IoTs) is a technology of the future that can generate tons of data through many meaningful IT applications. Data generated by IoTs applications must be stored and analysed through big data technology. In order to safeguard the operation and to improve the value of big data, security protection is a must work to do. This paper discusses how big data handles IoTs practice, its infrastructure framework, and their associated security issues. The issue of IoTs standardisation is also discussed. A list of directions to resolve the related security concerns has been proposed in the study. Journal: Int. J. of Business Information Systems Pages: 411-425 Issue: 3 Volume: 50 Year: 2025 Keywords: big data; internet of things; IoTs; cloud computing; infrastructure framework; cybersecurity; IoTs standards. File-URL: http://www.inderscience.com/link.php?id=149536 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:3:p:411-425 Template-Type: ReDIF-Article 1.0 Author-Name: Sridevi Periaiya Author-X-Name-First: Sridevi Author-X-Name-Last: Periaiya Author-Name: Sobha Gopi Vimalam Author-X-Name-First: Sobha Gopi Author-X-Name-Last: Vimalam Title: An experimental study of fake news detection on COVID-19 Twitter data and a conceptual framework for the early detection and prevention of fake news in social media Abstract: Social media with high information diffusion has become the dominant source of fake news with questionable veracity. The paper aims to provide reliable information through social media during emergencies. The study conducted an experimental analysis to detect fake news on social media, using different machine learning and deep learning techniques. It also addressed the reliability of social media data through sentiment analysis and statistical analysis for pattern detection. The experimental study revealed that support vector machine, logistic regression, random forest, and passive aggressive classifiers, long short-term memory, and bi-LSTM showed the best results. Besides, it was observed from the sentiment analysis that, there were more neutral than negative tweets. The paper contributed a conceptual model of hierarchical classification for early detection and prevention of fake news in social media by analysing the user, content and context, thereby providing reliable social media data, and facilitating decision-making without any ambiguity during disasters. Journal: Int. J. of Business Information Systems Pages: 368-392 Issue: 3 Volume: 50 Year: 2025 Keywords: fake news detection and prevention; COVID-19; deep learning; machine learning; emergency management; IT capabilities; big data; social media; information diffusion. File-URL: http://www.inderscience.com/link.php?id=149537 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:3:p:368-392 Template-Type: ReDIF-Article 1.0 Author-Name: Kiran Mayi Immaneni Author-X-Name-First: Kiran Mayi Author-X-Name-Last: Immaneni Author-Name: Vedala Naga Sailaja Author-X-Name-First: Vedala Naga Author-X-Name-Last: Sailaja Title: Employee turnover intention: an empirical analysis based on workplace dimensions Abstract: This study focuses on impact of workplace dimensions (job stress, job satisfaction, and organisational commitment) on employee turnover intention in the hotel industry. The study adopted a quantitative research approach and collected primary data through a questionnaire from the employees of 3-star and 4-star hotels in Hyderabad, Telangana. A bivariate correlation and structural equation modelling (SEM) is used to identify the workplace dimensions impacting employee turnover intention. The findings thus stated that 'job stress' has a higher influence on the 'turnover intention' followed by organisational commitment. The management must focus to improve on the parameters of job stress and organisational commitment so as to minimise employee turnover intention. Job stress ranks higher over other two antecedents that influence turnover intention. Parallel comparison of three variables with equal weightage adds novelty to the study. Journal: Int. J. of Business Information Systems Pages: 281-293 Issue: 3 Volume: 50 Year: 2025 Keywords: workplace dimensions; job stress; job satisfaction; employee turnover intention; ETI; organisational commitment; hotel industry. File-URL: http://www.inderscience.com/link.php?id=149538 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:3:p:281-293 Template-Type: ReDIF-Article 1.0 Author-Name: Debasmita Dey Author-X-Name-First: Debasmita Author-X-Name-Last: Dey Author-Name: Pradeep Kumar Author-X-Name-First: Pradeep Author-X-Name-Last: Kumar Title: Review rating prediction using explicit and implicit features Abstract: In e-commerce websites, customers can rate the quality of the product on a 1-5 scale rating along with a detailed feature-wise review of it. Due to the availability of the same product in multiple e-commerce websites and variability in the number of customers in each e-commerce platform, the number of ratings obtained differs across various sites. Hence, it is observed that sometimes the overall rating (an indicator of quality) of the same product differs significantly across multiple e-commerce platforms, which creates anxiety and distrust in customers' purchasing decisions and may cause loss of an online sale. In this present study, we propose a model, which produces a single score of any product, and this score is more reliable and trustworthy than the conventional method as it captures both explicit and implicit information instead of considering just either of them. Journal: Int. J. of Business Information Systems Pages: 333-351 Issue: 3 Volume: 50 Year: 2025 Keywords: e-commerce; online reviews; ratings; prediction. File-URL: http://www.inderscience.com/link.php?id=149539 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:3:p:333-351 Template-Type: ReDIF-Article 1.0 Author-Name: R.L. Manogna Author-X-Name-First: R.L. Author-X-Name-Last: Manogna Title: Examining productivity and farm size relationship among Indian agricultural households: patterns, determinants and implications Abstract: Using household level data from NSSO 70th Round Situation Assessment Survey (SAS), this study employs the Tobit regression model to study the impact of various factors on the crop yield and net income generated for two major crops, paddy and cotton. The findings reveal that the farm size is seen to have a negative and significant relationship with crop Y and seen to positively impact the NI in case of both paddy and cotton, conditional on several agricultural household characteristics. Furthermore, our analysis of farm-size wise patterns of various input costs of cultivation and credit sources brings out the issue of external factors in affecting agricultural returns for marginal and small farmers. From an agricultural policy perspective, our findings corroborate the evidence on rising cost of cultivation, and suggest the need to pay considerable attention to policy measures for enhancing crop productivity without disproportionately raising cost of cultivation. Journal: Int. J. of Business Information Systems Pages: 352-367 Issue: 3 Volume: 50 Year: 2025 Keywords: agricultural production; farm size; agricultural credit; farmers; emerging economy; India. File-URL: http://www.inderscience.com/link.php?id=149540 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:3:p:352-367 Template-Type: ReDIF-Article 1.0 Author-Name: Jinwoong Lee Author-X-Name-First: Jinwoong Author-X-Name-Last: Lee Author-Name: Dong-Heon Kwak Author-X-Name-First: Dong-Heon Author-X-Name-Last: Kwak Author-Name: Deborah Erdos Knapp Author-X-Name-First: Deborah Erdos Author-X-Name-Last: Knapp Author-Name: Alan A. Brandyberry Author-X-Name-First: Alan A. Author-X-Name-Last: Brandyberry Title: Impact of self-schema congruity in charity website design Abstract: Effectively designed websites can positively enhance the donors' perceptions to facilitate online donation. Drawing on self-schema congruity theory, this study examines the impact of self-schema congruity (SC) in the context of charity website design. This study hypothesises that SC increases perceived social presence, perceived appeal relevance, and intention to use a charity website for donation purposes. We further hypothesise that perceived social presence and perceived appeal relevance increase intention to use. To validate SC and test the research hypotheses, we conducted two experiments. The results of structural equation modelling support our hypotheses. Several theoretical and practical contributions are discussed. Journal: Int. J. of Business Information Systems Pages: 393-410 Issue: 3 Volume: 50 Year: 2025 Keywords: self-schema congruity; perceived social presence; perceived appeal relevance; use intention; charity websites; online donations. File-URL: http://www.inderscience.com/link.php?id=149541 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:3:p:393-410 Template-Type: ReDIF-Article 1.0 Author-Name: Saliza Abdul Aziz Author-X-Name-First: Saliza Abdul Author-X-Name-Last: Aziz Author-Name: Raja Haslinda Raja Mohd Ali Author-X-Name-First: Raja Haslinda Raja Mohd Author-X-Name-Last: Ali Author-Name: Murtala Zakari Author-X-Name-First: Murtala Author-X-Name-Last: Zakari Title: Determinants of tax e-filing system acceptance and the moderating role of perceived convenience among tax preparers in Nigeria Abstract: The aim of this research is to examine the determinants of tax e-filing system acceptance (performance expectancy, effort expectancy, social influence, and facilitating conditions). This study extended the UTAUT model with an additional variable of perceived convenience (PC) as a moderator to address the peculiarity of the Nigerian context. The proposed model was tested empirically through a quantitative study. Data was collected via self-administered survey from tax preparers in Nigeria. A total of 359 valid questionnaires were analysed using PLS-SEM. Findings show that performance expectancy, effort expectancy, social influence, and facilitating conditions significantly influence behavioural intention to adopt tax e-filing. Additionally, with PC, the relationships were stronger. Implications for practice, limitations, and future research direction were highlighted. Journal: Int. J. of Business Information Systems Pages: 312-332 Issue: 3 Volume: 50 Year: 2025 Keywords: tax e-filing; system acceptance; tax preparers; unified theory of acceptance and use of technology; UTAUT; performance expectancy; effort expectancy; social influence; facilitating conditions; perceived convenience; Nigeria; PLS-SEM. File-URL: http://www.inderscience.com/link.php?id=149542 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:3:p:312-332 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Ali Yousef Yamin Author-X-Name-First: Mohammad Ali Yousef Author-X-Name-Last: Yamin Author-Name: Mehmet Kiziloglu Author-X-Name-First: Mehmet Author-X-Name-Last: Kiziloglu Title: What makes organisations resilient during COVID-19 pandemic? The essential role of strategic human resource management practices and IT infrastructure Abstract: The role of strategic human resource management (SHRM) has been validated in achieving organisational performance. Nevertheless, SHRM factors have been rarely studied to investigate organisational resilience and sustainability. Drawing on the task technology fit model, IT infrastructure and strategic human resource factors this study develops an integrative research model to investigate organisational resilience and sustainability during COVID-19 pandemic. In addition to that the moderating effect of employee psychological health is conceptualised between organisational resilience and sustainability. Using convenience sampling approach 320 questionnaires were retrieved for inferential analysis. Results indicate significant impact of employee ability, opportunity enhancing, motivation enhancing, IT infrastructure, technology and task characteristics in measuring organisational resilience with substantial variance <i>R</i><SUP align="right"><SMALL>2</SMALL></SUP> 78.8%. Practically, this research suggests that during COVID-19 pandemic organisational resilience and sustainably could be achieved through adequate IT infrastructure, task characteristics and employee psychological health. Journal: Int. J. of Business Information Systems Pages: 427-450 Issue: 4 Volume: 50 Year: 2025 Keywords: strategic human resource management; task characteristics; technology characteristics; IT Infrastructure; psychological health; organisational resilience; sustainability; COVID-19. File-URL: http://www.inderscience.com/link.php?id=150750 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:4:p:427-450 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmad A. Toumeh Author-X-Name-First: Ahmad A. Author-X-Name-Last: Toumeh Title: The nexus of ERP system adoption and discretionary accruals: the moderator effect of Big 4 audit firms Abstract: This study investigates the impact of enterprise resource planning (ERP) adoption and Big 4 audit firms on accrual-based earnings management (AEM) in the non-financial companies listed on the Amman Stock Exchange (ASE), as well as the moderating effect of Big 4 auditors on the nexus between ERP implementation and AEM. Panel data analysis was utilised in this research, and the random-effects GLS regression was employed to derive conclusions. The sample of this study is represented in service and manufacturing firms listed on the ASE, with 432 firm-year observations during the period 2015-2020. The results demonstrate that ERP non-adopting companies are more apt to participate in earnings management (EM) than ERP adopting companies. The current study should advance EM literature in the Jordanian context. Also, this is the initial empirical attempt worldwide to examine the indirect effect (moderation) of audit quality (AQ) on the association between ERP implementation and EM. Journal: Int. J. of Business Information Systems Pages: 480-498 Issue: 4 Volume: 50 Year: 2025 Keywords: discretionary accruals; earnings management; enterprise resource planning; ERP; audit quality; Big 4 audit firms; accrual-based earnings management; AEM; Jordan. File-URL: http://www.inderscience.com/link.php?id=150751 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:4:p:480-498 Template-Type: ReDIF-Article 1.0 Author-Name: Faleh Alshameri Author-X-Name-First: Faleh Author-X-Name-Last: Alshameri Author-Name: Les Vermillion Author-X-Name-First: Les Author-X-Name-Last: Vermillion Title: The congruence between the mission statements of accredited business schools: a study using textual data mining tools Abstract: We live in a world increasingly enveloped with data. Data that can be numerical or in many cases data which is verbal or written. This study investigates similarities between mission and vision statements of universities as a means of better understanding the usefulness of these statements as a comparative means for business schools and their universities. In doing this, we utilised a verbal data evaluation tool, CLUTO cluster analysis as a means of understanding useful verbal similarities. The study reviewed the mission and vision statements for almost 500 AACSB accredited universities and business schools. The CLUTO tool provided useful information while discriminating between university mission statements in certain instances. We found that public institutions' missions were consistently differentiated from those of private schools. We also found that religious schools exhibited consistent similarities within the religious universities but differed from those non-sectarian universities. Geography did not appear to be a factor in discriminating statements either viewed by themselves or as a framework for regional business accrediting bodies. We extended the value of verbal data evaluation as a means of analysing mission and vision statements. Journal: Int. J. of Business Information Systems Pages: 499-518 Issue: 4 Volume: 50 Year: 2025 Keywords: AACSB; clustering analysis; CLUstering TOolkit; CLUTO; mission statement; textual data mining; vision statement. File-URL: http://www.inderscience.com/link.php?id=150752 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:4:p:499-518 Template-Type: ReDIF-Article 1.0 Author-Name: Ashish Saxena Author-X-Name-First: Ashish Author-X-Name-Last: Saxena Author-Name: V.V. Ravi Kumar Author-X-Name-First: V.V. Ravi Author-X-Name-Last: Kumar Title: Two decades of digital transformation in business - a review and research agenda Abstract: Digital transformation (DT) has emerged as an important concept that stimulates several academic research streams and influences practice. The literature regarding DT is still evolving. This literature review aims to establish a greater understanding of DT through examining the fragmented and diverse academic literature on this concept. Based on a systematic review of academic research works of the past two decades, this study provides rich insights into the fundamental understanding of DT. Out of 1,092 identified studies, 130 were selected for a detailed review. The findings suggest that the industry should adapt its business strategies to the changing digital landscape, among other initiatives. The study reveals that there is more to DT than just investing in new technologies. This review should contribute greatly to future exploration as it expands the literature by identifying the need for further research in the area and defines the research agenda for future researchers. Journal: Int. J. of Business Information Systems Pages: 451-479 Issue: 4 Volume: 50 Year: 2025 Keywords: digital; digital transformation; digital technologies; digital strategy; digitalisation; big data; innovation; literature review; systematic review; research agenda. File-URL: http://www.inderscience.com/link.php?id=150753 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:4:p:451-479 Template-Type: ReDIF-Article 1.0 Author-Name: Adnan Corum Author-X-Name-First: Adnan Author-X-Name-Last: Corum Author-Name: Ugur Ulas Author-X-Name-First: Ugur Author-X-Name-Last: Ulas Title: Effects of digitalisation on human resource processes: a case study in a global technology company Abstract: This paper presents a case study of digital transformation of a global technology company's human resources department with workday application. The digital transformation is focused on payment, training, reporting, and human resources management processes. With this transformation, most of the manual operations are automated, and it is aimed to provide efficiency in resource workload management. The company aims to provide information to employees more easily through digitalisation. This information is usually the employee's training plan calendar, wage documents, and employee-based performance metrics. The company initiates this digitisation step with the workday application. This research reflects how company transforms and builds its own external digital platform history. Journal: Int. J. of Business Information Systems Pages: 519-531 Issue: 4 Volume: 50 Year: 2025 Keywords: digitalisation; human resource management; HRM; workday application; transformation. File-URL: http://www.inderscience.com/link.php?id=150754 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:4:p:519-531 Template-Type: ReDIF-Article 1.0 Author-Name: Malik Abu Afifa Author-X-Name-First: Malik Abu Author-X-Name-Last: Afifa Author-Name: Nha Minh Nguyen Author-X-Name-First: Nha Minh Author-X-Name-Last: Nguyen Author-Name: Thuy Nguyen Thi Thanh Author-X-Name-First: Thuy Nguyen Thi Author-X-Name-Last: Thanh Title: Micro factors affecting the application of International Financial Reporting Standard No. 6: evidence from Vietnamese enterprises Abstract: Our study identifies and investigates the micro factors affecting the application of International Financial Reporting Standard No. 6 (IFRS 6) on exploration and evaluation (E%E) of mineral resources for enterprises in Vietnam. At the same time, this study also explores the nexus between the application of IFRS 6 and the benefits of applying IFRS 6. The study data are collected from Vietnamese mining, oil and gas enterprises listed on the financial exchange. Our data are analysed by structural equation modelling which evaluates both measurement and the structural model. The findings show that there are three micro factors, firm's size, administrator's supporting and accountant's qualifications, which are positively linked to the enforcement of IFRS 6, consistent with the initial prediction. Moreover, we find that the application of IFRS 6 positively links with the benefit of applying IFRS 6, such as increasing disclosure quality and accountability. Journal: Int. J. of Business Information Systems Pages: 532-555 Issue: 4 Volume: 50 Year: 2025 Keywords: IFRS 6; application of IFRS 6; benefits of applying IFRS 6; exploration and evaluation; minerals; firms size; administrator's supporting; accountant's qualifications; Vietnam. File-URL: http://www.inderscience.com/link.php?id=150755 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:4:p:532-555 Template-Type: ReDIF-Article 1.0 Author-Name: Md. Sharif Hassan Author-X-Name-First: Md. Sharif Author-X-Name-Last: Hassan Author-Name: Md. Aminul Islam Author-X-Name-First: Md. Aminul Author-X-Name-Last: Islam Author-Name: Farid Sobhani Author-X-Name-First: Farid Author-X-Name-Last: Sobhani Author-Name: Sadia Afrin Author-X-Name-First: Sadia Author-X-Name-Last: Afrin Title: A collaborating ITM-EVF approach to investigate customer's intention to adopt mobile payment systems: a study on Bangladesh market Abstract: One of the most emerging digital platforms that are widely used today is the mobile payment system. Though developing country like Bangladesh is lagging in global findex ranking, customers are rapidly using the mobile payment system platform for their offline and online purchases. This study intends to determine the predictors that prompt customers to use mobile payment systems in Bangladesh. The extended valence framework and initial trust model were combined to facilitate this study. The proposed model incorporated three antecedents for trust: structural assurance, firm reputation, and personal propensity to trust. A questionnaire was designed and circulated through Google Forms to collect the primary data. The number of final respondents of the survey was 213. The study used the partial least square structural equation modelling (PLS-SEM) method to analyse the data. The result indicates that perceived benefit and trust are the influential predictors of mobile payment systems usage intention in Bangladesh. Journal: Int. J. of Business Information Systems Pages: 556-576 Issue: 4 Volume: 50 Year: 2025 Keywords: mobile payment systems; ITM; extended valence framework; structural assurance; firm reputation; personal propensity to trust. File-URL: http://www.inderscience.com/link.php?id=150757 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbisy:v:50:y:2025:i:4:p:556-576