Template-Type: ReDIF-Article 1.0 Author-Name: Amir Asrzad Author-X-Name-First: Amir Author-X-Name-Last: Asrzad Author-Name: Sina Shokoohyar Author-X-Name-First: Sina Author-X-Name-Last: Shokoohyar Title: Resource renting problem with discounted cash flows: a genetic algorithm solution Abstract: The resource renting problem, which is a class of project scheduling problems, is very similar to the resource investment problem. In the case of resource investment problems, the objective function is to make optimal resources procurement to have sufficient resources available in each period. In modelling the resource renting problem, we assume that the project's resources can be rented, making rental costs time-dependent. A standard resource renting problem tries to minimise the cost of acquiring resources, where the objective function only includes costs and does not include the interest rate. This paper has modelled the resource renting problem with discounted cash flow and solved it using a genetic algorithm. We consider the objective function to maximise the net present value of money and solve it using a genetic algorithm. The performance of the genetic algorithm is compared with exact methods. We have solved a set of standard project scheduling problems with both the genetic algorithm and exact methods. The test results are quite satisfactory. Journal: Int. J. of Business and Systems Research Pages: 504-521 Issue: 5 Volume: 17 Year: 2023 Keywords: resource renting problem; discounted cash flows; genetic algorithm; project management. File-URL: http://www.inderscience.com/link.php?id=133121 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:5:p:504-521 Template-Type: ReDIF-Article 1.0 Author-Name: Chia-Hsiang Wang Author-X-Name-First: Chia-Hsiang Author-X-Name-Last: Wang Author-Name: Chung-Chu Liu Author-X-Name-First: Chung-Chu Author-X-Name-Last: Liu Author-Name: Jason C.H. Chen Author-X-Name-First: Jason C.H. Author-X-Name-Last: Chen Title: Prioritising and gender differences on aesthetics of mobile phone usage through users' perspectives Abstract: Aesthetics is an important trend in management research in recent years. Mobile phones are also necessary for everyday life. Mobile phones combined with the concept of aesthetics to emphasise whether users and their genders will have preference differences, is a good topic that is worth studying. The purpose of this research is to measure, prioritise and compare gender differences on aesthetics of mobile phone usage by users' perspectives. Analytical hierarchy process (AHP) methodology is adopted to analyse the data. According to the study, aesthetics of mobile phone usage is categorised into three types: visual sense, auditory sense and tactile sense. Gender differences on aesthetics of mobile phones are significant. The results show that visual sense is the most important one in mobile phone use. The findings suggested that mobile phone service companies to adopt the understanding of designing aesthetics of mobile phone users. Journal: Int. J. of Business and Systems Research Pages: 60-74 Issue: 1 Volume: 17 Year: 2023 Keywords: communication; mobile phone; mobile phone usage; aesthetics; analytic hierarchy process; AHP. File-URL: http://www.inderscience.com/link.php?id=127750 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:1:p:60-74 Template-Type: ReDIF-Article 1.0 Author-Name: Victor Chang Author-X-Name-First: Victor Author-X-Name-Last: Chang Author-Name: Karl Hall Author-X-Name-First: Karl Author-X-Name-Last: Hall Author-Name: Le Minh Thao Doan Author-X-Name-First: Le Minh Thao Author-X-Name-Last: Doan Title: Football results prediction and machine learning techniques Abstract: In the past, machine learning techniques used to predict the outcome of professional team-based sports matches have used the number of points or goals scored as the primary metric for performance evaluation in their prediction models. However, this approach is considered outdated by industry statisticians. The final outcome of each match can fluctuate wildly from the expected outcome based on events and changes of circumstances occurring within the games. The aim of this project is to compare and contrast the effectiveness and performance of various machine learning models when predicting the outcome of football matches in the English Premier League, both to each other and other benchmarks, including bookmakers' models and random chance. In this research, the 'expected goals' metric was explored as the base of the machine learning algorithms instead of the traditional 'goals scored' metric. This was used to build a Poisson distribution probabilistic classifier to predict the results of matches in the future, achieving an accuracy of 52.3% with regard to matches that occurred during the 2020-2021 Premier League season. Journal: Int. J. of Business and Systems Research Pages: 565-586 Issue: 5 Volume: 17 Year: 2023 Keywords: machine learning; ML; football results prediction; predictive simulations. File-URL: http://www.inderscience.com/link.php?id=133178 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:5:p:565-586 Template-Type: ReDIF-Article 1.0 Author-Name: Maria do Rosário Cabrita Author-X-Name-First: Maria do Rosário Author-X-Name-Last: Cabrita Author-Name: Susana Duarte Author-X-Name-First: Susana Author-X-Name-Last: Duarte Author-Name: Virgílio Cruz-Machado Author-X-Name-First: Virgílio Author-X-Name-Last: Cruz-Machado Title: Exploring LARG management concepts within business model canvas: a theoretical approach Abstract: As the global business landscape dramatically alters, there needs to be a similar change in the way organisations are performing and in which supply chain strategies are determined. One interesting debate has centred on the relative merits of 'lean', 'agile', 'resilient' and 'green' (LARG) philosophies and how they can contribute to building a companies' competitive advantage. Combining the existing understanding of concepts - business model (BM) and LARG principles - this paper focuses on the multidisciplinary area of LARG in business models and adds insights to the discussion about BM tools and particularly on the business model canvas (BMC) as a framework to develop LARG principles in business settings. Although recognising the limitations when trying to align LARG principles and the building blocks of BMC, this research aims to contribute to the discussion on creating an ideal type of BM to be adapted to LARG paradigm. To the knowledge of the authors, it is the first attempt to critically review the empirical research articles in LARG and business model canvas (BMC). Journal: Int. J. of Business and Systems Research Pages: 266-290 Issue: 3 Volume: 17 Year: 2023 Keywords: business model; business model canvas; BMC; LARG paradigm; lean; agile; resilient; green philosophies. File-URL: http://www.inderscience.com/link.php?id=130619 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:3:p:266-290 Template-Type: ReDIF-Article 1.0 Author-Name: Farzaneh Mardan Author-X-Name-First: Farzaneh Author-X-Name-Last: Mardan Author-Name: Neda Abdolvand Author-X-Name-First: Neda Author-X-Name-Last: Abdolvand Author-Name: Saeedeh Rajaee Harandi Author-X-Name-First: Saeedeh Rajaee Author-X-Name-Last: Harandi Title: The effect of IT flexibility and IT governance on business-IT strategic alignment Abstract: Business-information technology (IT) alignment has become a very complex phenomenon, and many organisations are wondering how to achieve it. Despite the variety of methods used to address this issue, there are few studies on the impact of IT flexibility and IT governance on IT-business alignment, which is the objective of this study. The results of the study using partial least squares (PLS) method indicated that among IT governance principals the structure (path coefficient = 0.09, T-value > 1.96), process (path coefficient = 0.26, T-value > 1.96), and relational mechanisms (path coefficient = 0.20, T-value > 1.96) were effective on business-IT strategic alignment. In addition, among IT flexibility components the modularity (path coefficient = 0.12, T-value > 1.96), and compatibility (path coefficient = 0.26, T-value > 1.96) had significant effect on business-IT strategic alignment. Moreover, according to the Friedman test results, relational mechanisms have the strongest impact on business-IT strategic alignment. Journal: Int. J. of Business and Systems Research Pages: 251-265 Issue: 3 Volume: 17 Year: 2023 Keywords: IT governance; IT flexibility; business-IT strategic alignment. File-URL: http://www.inderscience.com/link.php?id=130622 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:3:p:251-265 Template-Type: ReDIF-Article 1.0 Author-Name: Jeevesh Sharma Author-X-Name-First: Jeevesh Author-X-Name-Last: Sharma Author-Name: Suhasini Verma Author-X-Name-First: Suhasini Author-X-Name-Last: Verma Title: An analysis of firms' environmental performance: an empirical study of Carbonex firms in India Abstract: The purpose of the study is to analyse the extent of corporate social responsibility (CSR) disclosures relating to firms' environmental performance, made by leading firms indexed in BSE Carbonex in India. The duration of the study is from 2015-2019 and content analysis has been used. The results show that there are significant discrepancies in the spending of CSR on the listed dimensions with a relatively smaller chunk of funds being channelled towards environmental performance. It is easily ascertained by the results that some arenas are barely disclosed whereas some areas are sufficiently reported. The managerial implication of the study is that it provides a wide picture of firms' environmental and corporate social responsibility (CSR) disclosure practices. The findings may help the management to formulate strategies for better environmental performance. It also provides the policy prescription to the government to make stringent rules to arrest the erratic climate change. Journal: Int. J. of Business and Systems Research Pages: 603-621 Issue: 6 Volume: 17 Year: 2023 Keywords: CSR disclosure; environmental performance; carbon disclosure. File-URL: http://www.inderscience.com/link.php?id=134463 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:6:p:603-621 Template-Type: ReDIF-Article 1.0 Author-Name: Steffen Fleßa Author-X-Name-First: Steffen Author-X-Name-Last: Fleßa Title: Place matters - the spatial diffusion of contagious diseases Abstract: The diffusion of contagious diseases follows a spatial pattern highly relevant for the design of intervention programs. This paper analyses the waves of a generic contagious disease in a pattern region. We develop a batch model based on a system dynamics model where the likelihood of an infection depends on distance from another person. The basic simulation shows a clear pattern of a wave sweeping over the region. Starting in one cell, the epidemic strongly depends on the proximity to the place of origin. The speed and intensiveness of the wave depends on the mobility, infectivity and contact rate, but also on the population pattern. Health policymakers have to install early detection and sentinel systems to stop an outbreak before it diffuses spatially. If it is possible to flatten the curve and prolong the diffusion process, barriers of vaccinated could be built up. This will also require controlling national and cross-border transport. Journal: Int. J. of Business and Systems Research Pages: 677-702 Issue: 6 Volume: 17 Year: 2023 Keywords: contact rate; contagious disease; COVID-19; health systems research; infectivity; measles; mobility; place; quantitative techniques; simulation; spatial diffusion; system dynamics. File-URL: http://www.inderscience.com/link.php?id=134464 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:6:p:677-702 Template-Type: ReDIF-Article 1.0 Author-Name: Sara Las Cunha Author-X-Name-First: Sara Las Author-X-Name-Last: Cunha 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: 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 Author-Name: Rui Vinhas da Silva Author-X-Name-First: Rui Vinhas da Author-X-Name-Last: Silva Title: Smart systems adoption in management Abstract: Information technologies play an essential role in creating additional sources of value creation for customers. Artificial intelligence (AI) has been on the top of this technological wave and has the potential to help companies to overcome their obstacles. The goal of this article was to assess the key factors that influence manager's intention to implement smart systems in their businesses. For this purpose, a quantitative approach using survey data analysed through modelling of structural equations, allows the identification of the main factors influencing manager's decision to implement smart systems, the perception and knowledge about them, the benefits generated by the implementation of smart systems and, finally, the challenges associated. This research is truly innovative in the way that it assesses the reasons that lead companies to implement smart systems in the medium term in Portugal. Journal: Int. J. of Business and Systems Research Pages: 703-727 Issue: 6 Volume: 17 Year: 2023 Keywords: artificial intelligence; smart systems implementation; Portuguese companies. File-URL: http://www.inderscience.com/link.php?id=134465 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:6:p:703-727 Template-Type: ReDIF-Article 1.0 Author-Name: Antonio Focacci Author-X-Name-First: Antonio Author-X-Name-Last: Focacci Title: Is this very much a matter of faith? A monetisation approach to COVID-19 Abstract: COVID-19 pandemic and resulting global economic contraction will stress all countries' fiscal frameworks raising several concerns about real and effective possibilities to deal with all deriving issues. The magnitude of shocks will surely affect the fiscal deficit and public debt in the majority of them. The sustainability and the survival of present worldwide economic system is severely tested. Through the application of the Granger causality methodology, the historical series of monetary aggregates and inflation are analysed for different countries. The goal of this empirical analysis is to support an unconventional approach to the solution of a crisis that has pervaded all nations and economic systems. Journal: Int. J. of Business and Systems Research Pages: 347-366 Issue: 3 Volume: 17 Year: 2023 Keywords: inflation; money; COVID-19; SARS-CoV 2; monetisation; systems. File-URL: http://www.inderscience.com/link.php?id=130625 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:3:p:347-366 Template-Type: ReDIF-Article 1.0 Author-Name: Shermeen Hasan Author-X-Name-First: Shermeen Author-X-Name-Last: Hasan Author-Name: Abdul Qayyum Author-X-Name-First: Abdul Author-X-Name-Last: Qayyum Title: Impact of sales promotion and consumer innovativeness on online impulse buying behaviour with the moderating role of buying power Abstract: The current trend of online shopping has led to various shopping behaviours, both rational and irrational; impulse buying represents the latter. The study was designed to investigate the impact of situational factors like sales promotion and personality characteristics like innovativeness on online impulse buying behaviour with the moderating role of buying power. Data were collected from a few of the major cities of Pakistan, employing an online questionnaire created in Google Forms with a final sample size of 308 respondents. Partial least squares (PLS) were employed using SmartPLS 3, and the results indicated that sales promotion had a marked impact on consumer's online impulse buying behaviour, and the buying power backed this behaviour. Consumer innovativeness also showed a positive relationship with online impulse buying behaviour; however, the relationship was weakened with increased buying power. In addition, buying power had no impact on online impulse buying behaviour. Journal: Int. J. of Business and Systems Research Pages: 659-676 Issue: 6 Volume: 17 Year: 2023 Keywords: sales promotions; consumer innovativeness; buying power; online impulse buying behaviour; regulatory focus theory; RFT. File-URL: http://www.inderscience.com/link.php?id=134466 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:6:p:659-676 Template-Type: ReDIF-Article 1.0 Author-Name: Selim Ahmed Author-X-Name-First: Selim Author-X-Name-Last: Ahmed Author-Name: Rafikul Islam Author-X-Name-First: Rafikul Author-X-Name-Last: Islam Author-Name: Ahmed Al Asheq Author-X-Name-First: Ahmed Al Author-X-Name-Last: Asheq Title: Analysis of employee motivation in the service and manufacturing organisations: the case of a developing economy Abstract: The purpose of the study is to identify the factors that motivate employees in the service and manufacturing firms in Bangladesh. In this study, 321 employees were surveyed and out of these, 256 were from the service while 65 were from the manufacturing organisations. The findings of the study indicate that job security and promotion are most influential motivating factors for the service organisations while working condition and job security are the two most important motivating factors for the manufacturing employees. In addition, the research findings also reveal that there are some significant differences between the service and the manufacturing employees' motivating factors. Thus, it is crucial that all managers should have sufficient knowledge about their respective employees' motivating factors in order to improve and sustain their eminent organisational performances. By and large, the findings of this study can be adopted as guidelines when formulating motivational strategies for business firms in a fast-developing country like Bangladesh. Journal: Int. J. of Business and Systems Research Pages: 309-325 Issue: 3 Volume: 17 Year: 2023 Keywords: motivating factors; service; manufacturing; business firms; Bangladesh. File-URL: http://www.inderscience.com/link.php?id=130627 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:3:p:309-325 Template-Type: ReDIF-Article 1.0 Author-Name: Flavio Barboza Author-X-Name-First: Flavio Author-X-Name-Last: Barboza Author-Name: Jorge Henrique de Frias Barbosa Author-X-Name-First: Jorge Henrique de Frias Author-X-Name-Last: Barbosa Author-Name: Herbert Kimura Author-X-Name-First: Herbert Author-X-Name-Last: Kimura Author-Name: Gustavo Carvalho Santos Author-X-Name-First: Gustavo Carvalho Author-X-Name-Last: Santos Author-Name: Paulo Cortez Author-X-Name-First: Paulo Author-X-Name-Last: Cortez Title: Early warning system for preventing bank distress in Brazil Abstract: The global financial crisis in 2007/2008 showed how important is to be prudent with events related to the banking sector, illustrating emphatically the contagion in the financial system caused by distress in one or more banks. This issue goes beyond competitiveness and the interrelationship among its members, requiring at least signs or warnings of potential problems in such institutions. Thus, the present study presents some early warning system models for bank crises and bank distress, which are empirically tested for Brazilian banks. In addition to the traditional logit, we analyse two machine learning techniques are: random forest (RF) and support vector machine (SVM). The database of Brazilian banks covers 179 events considered as unsound bank. Our findings suggest that RF and SVM underperform the logit model. Moreover, RF models presented greater predictive capacity with the time windows of 32 and 34 months, proving adequate to the regulators' needs. Journal: Int. J. of Business and Systems Research Pages: 326-346 Issue: 3 Volume: 17 Year: 2023 Keywords: early warning system; EWS; banking crisis; distress prediction; machine learning techniques; Brazil. File-URL: http://www.inderscience.com/link.php?id=130632 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:3:p:326-346 Template-Type: ReDIF-Article 1.0 Author-Name: Hong Qin Author-X-Name-First: Hong Author-X-Name-Last: Qin Author-Name: Kai S. Koong Author-X-Name-First: Kai S. Author-X-Name-Last: Koong Author-Name: Zhaojun Yang Author-X-Name-First: Zhaojun Author-X-Name-Last: Yang Title: Publication patterns of business analytics faculty: toward a well-founded assessment of productivity Abstract: In many business disciplines, impact metrics and measurements of productivity are well established, including institutionally-approved journal lists available for the use of both faculty and administration. Faculty in business analytics related fields generally have no such tool available, leading at times to confusion, undervaluing of their scholarship, and even litigation. In this study, we take the preliminary steps for establishing objective assessment tools for business analytics faculty by studying the publication patterns of the most productive current practitioners. An initial list of 700 publishing outlets was narrowed down to approximately 100 that account for 30% of all published scholarship in the field. We suggest this list can be used as an initial benchmark for future institution-based conversations about faculty review. Journal: Int. J. of Business and Systems Research Pages: 622-635 Issue: 6 Volume: 17 Year: 2023 Keywords: business analytics; publication patterns; faculty productivity; professional development; technology; business research; systems. File-URL: http://www.inderscience.com/link.php?id=134479 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:6:p:622-635 Template-Type: ReDIF-Article 1.0 Author-Name: Mohan Sangli Author-X-Name-First: Mohan Author-X-Name-Last: Sangli Author-Name: Rajeshwar S. Kadadevaramath Author-X-Name-First: Rajeshwar S. Author-X-Name-Last: Kadadevaramath Author-Name: Srikanth Madaka Author-X-Name-First: Srikanth Author-X-Name-Last: Madaka Title: Comparative study of methods to identify sensitive parameters for improving performance of predictive models Abstract: Machine learning models map inputs to predictions. Supervised machine learning models learn from a dataset containing several samples or experiments by assigning a weightage to each of the input parameters, commonly referred as features, so as to map to the corresponding target outcome. Different algorithms are used in the learning process, each following a set of rules to achieve the stated objective of mapping features to the corresponding value of target. In this development process, algorithms assign weights to each feature and refine them iteratively to reduce the error between the predicted outcomes with the actual value in the dataset. It is observed that each type of algorithm is based on certain themes such as linear, tree-based, kernel, etc. Each adoption of each of these themed algorithms assigns different weights to features to arrive at the target outcome while reducing the error with the actual value. Iterations alter the weights of parameters until fully tuned and hence there is a need to get reliable weights early in the model development process. Journal: Int. J. of Business and Systems Research Pages: 636-658 Issue: 6 Volume: 17 Year: 2023 Keywords: feature importance; ranking; permutation importance; machine learning; dimensionality reduction. File-URL: http://www.inderscience.com/link.php?id=134481 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:6:p:636-658 Template-Type: ReDIF-Article 1.0 Author-Name: Aqsa Jalil Author-X-Name-First: Aqsa Author-X-Name-Last: Jalil Author-Name: Muhammad Sarmad Author-X-Name-First: Muhammad Author-X-Name-Last: Sarmad Author-Name: Muhammad Qaiser Shafi Author-X-Name-First: Muhammad Qaiser Author-X-Name-Last: Shafi Title: Abusive supervision fosters employees' silence: the mediating role of avoidance orientation and moderating role of leader-member exchange Abstract: This research study investigates the mediating role of avoidance orientation between abusive supervision and employees' silence. It also aims to analyse the moderating role of leader-member exchange between abusive supervision and avoidance orientation. The conservation of resource theory is utilised to predict the hypothetical relationships. Data were collected from 210 permanent employees of the hospitality sector. The data was gathered in time lags to avoid common method bias and self-serving bias. The latest statistical techniques were executed through SPSS and AMOS to analyse the data. The results disclosed that abusive supervision predicts employees' silence and avoidance orientation mediates the relationship between abusive supervision and employees' silence. Moreover, the leader-member exchange moderates the relationship between abusive supervision and avoidance orientation. Thus, the theoretical and managerial implications are deliberated for the target sector in particular and other sectors in general. Journal: Int. J. of Business and Systems Research Pages: 291-308 Issue: 3 Volume: 17 Year: 2023 Keywords: abusive supervision; avoidance orientation; employees' silence; leader-member-exchange; LMX. File-URL: http://www.inderscience.com/link.php?id=130641 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:3:p:291-308 Template-Type: ReDIF-Article 1.0 Author-Name: M. Shilpa Author-X-Name-First: M. Author-X-Name-Last: Shilpa Author-Name: L. Harshith Author-X-Name-First: L. Author-X-Name-Last: Harshith Author-Name: Shobhini Sekar Author-X-Name-First: Shobhini Author-X-Name-Last: Sekar Author-Name: Rajeshwar S. Kadadevaramath Author-X-Name-First: Rajeshwar S. Author-X-Name-Last: Kadadevaramath Title: Computerised relationship layout planning for redesign of supermarket layouts Abstract: Layout planning of a facility involves the best physical arrangement of all resources within the facility. It is essential when a new facility is being constructed or when an existing facility is being renovated with focus on expansion or space reduction in the layout. It also has a profound impact on the production and sales of an organisation. One such organisation where layout planning is of utmost importance is the supermarket as there is direct customer connection. Designing the supermarket facilities according to customer preferences is of utmost significance as this has a direct impact on the productivity of the firm. This necessitates planning the supermarket layout, considering various factors influencing the sales. Various algorithms are used for this purpose and the best possible layout planning is determined. In this paper, two supermarkets, Supermarkets A and B, situated in the heart of Bangalore city are considered for the study. The existing layouts of these two supermarkets are studied and analysed. The best possible layout for both the supermarkets is determined by using computerised relationship layout planning (CORELAP) algorithm. Journal: Int. J. of Business and Systems Research Pages: 549-564 Issue: 5 Volume: 17 Year: 2023 Keywords: supermarket layout; facilities design; sales analysis; system improvement. File-URL: http://www.inderscience.com/link.php?id=133211 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:5:p:549-564 Template-Type: ReDIF-Article 1.0 Author-Name: M. Vijayalakshmi Author-X-Name-First: M. Author-X-Name-Last: Vijayalakshmi Author-Name: C. Somashekar Author-X-Name-First: C. Author-X-Name-Last: Somashekar Author-Name: Preeti S. Desai Author-X-Name-First: Preeti S. Author-X-Name-Last: Desai Author-Name: G. Badri Narayanan Author-X-Name-First: G. Badri Author-X-Name-Last: Narayanan Title: Ethical influence of social media by academic communities Abstract: Social media is capable of providing overall connections among the academic communities by giving a structural transformation to the educational organisation by providing an open way of communication. A confirmatory research study was conducted to understand the ethical environment in the online academic community towards social media platforms, their usage, and time spent, social media habits and also the social media word-of-mouth influencing factors. In the present study, a model is framed based on the previous review and a field survey was conducted. A structured questionnaire was constructed having questions on demographic data, tools, social media usage and activities. Following a pilot study, the questionnaire was reframed. The main survey was conducted and data was collected from 300 samples from the academic community. Data analysis was done using IBM-SPSS 21.0. The result shows that the social media platform acts as a significant role in the ethical environment in the online academic community and also showed that individuals spend more than two hours accessing different social media. The study confirmed factors such as information usefulness, interactivity and credibility as the determinant for social media word-of-mouth. Journal: Int. J. of Business and Systems Research Pages: 587-602 Issue: 5 Volume: 17 Year: 2023 Keywords: academic community; social media word-of-mouth; social media word-of-mouth adoption; interactivity; information usefulness; credibility. File-URL: http://www.inderscience.com/link.php?id=133212 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:5:p:587-602 Template-Type: ReDIF-Article 1.0 Author-Name: Shaligram Pokharel Author-X-Name-First: Shaligram Author-X-Name-Last: Pokharel Title: Introducing BLOC-ICE for exploring system concept Abstract: In this paper, a generic framework called BLOC-ICE is proposed as an exploring system in order to develop a system diagram. The framework uses seven elements to assist in the visualisation, progressive exploration, and elaboration in order to develop the system diagram that meets the system's stated goals. Once the system diagram is developed, each part of the system can be designed through qualitative and quantitative methods, and simulation. The application of the framework is demonstrated through simple examples. The proposed framework can be used to explore system design and development in technical, social, and business fields. The paper also provides empirical results based on the data obtained through a survey of the graduates who learned this framework with the author. The analysis shows the importance of the framework in system exploration and design. The business implication of the framework is also discussed. Journal: Int. J. of Business and Systems Research Pages: 442-461 Issue: 4 Volume: 17 Year: 2023 Keywords: systems; system diagram; system thinking; system concept; system exploration; system approach. File-URL: http://www.inderscience.com/link.php?id=131720 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:4:p:442-461 Template-Type: ReDIF-Article 1.0 Author-Name: Ansar Abbas Author-X-Name-First: Ansar Author-X-Name-Last: Abbas Author-Name: Dian Ekowati Author-X-Name-First: Dian Author-X-Name-Last: Ekowati Author-Name: Fendy Suhariadi Author-X-Name-First: Fendy Author-X-Name-Last: Suhariadi Author-Name: Aisha Anwar Author-X-Name-First: Aisha Author-X-Name-Last: Anwar Title: Workplace: an empirical study on spiritual leadership in Pakistani higher education Abstract: Management that encourages workplace support can successfully cover productive work, a sense of identity, and organisational goals. Spirituality inculcates a positive workplace environment that connects individuals and groups. It generates confidence in workers by promoting membership and meaningfulness towards corporate life. A causal framework containing hope, faith, and altruism works for an individual's well-being by imparting meaningfulness to the desire to make an undeniable impact on organisational productivity and commitment. In this study, a Likert scale questionnaire was used with public and private sector university employees in Pakistan to test the hypothetical model using convenient sampling. Overall, 232 interested employees filled out the printed questionnaire computed for completing statistical analysis consuming SPSS and Smart-PLS. We discussed the strengths and weaknesses of the causal framework through rigorous research and theoretical reasoning. Moreover, we also discussed individual well-being, psychological beliefs, and strategic directions with practical and social implications. Journal: Int. J. of Business and Systems Research Pages: 367-386 Issue: 4 Volume: 17 Year: 2023 Keywords: spirituality leadership; workplace strategies; productivity; commitment; strategies; workplace management; individual well-being. File-URL: http://www.inderscience.com/link.php?id=131721 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:4:p:367-386 Template-Type: ReDIF-Article 1.0 Author-Name: Anthony K. Asare Author-X-Name-First: Anthony K. Author-X-Name-Last: Asare Author-Name: Richard Bannor Author-X-Name-First: Richard Author-X-Name-Last: Bannor Author-Name: Robert M. Yawson Author-X-Name-First: Robert M. Author-X-Name-Last: Yawson Author-Name: Justice Nyigmah Bawole Author-X-Name-First: Justice Nyigmah Author-X-Name-Last: Bawole Title: Healthcare system innovation - the case of adoption of telemedicine in Ghana Abstract: Cell phone usage has increased substantially in Ghana. Yet at the same time, the doctor-patient ratio is extremely low and congestion in hospitals is very common. To help solve those and other healthcare challenges, this paper employs a qualitative approach to examine the use of telemedicine in Africa, with Ghana as a case study. The paper uses a hybrid approach that utilises a combination of qualitative methods to analyse data collected from in-depth interviews with medical professionals. Using the deductive thematic analysis approach, the study finds that the five main attributes of Rogers' adoption of innovation model: relative advantage, compatibility, complexity, trialability, and observability are very crucial in telemedicine adoption in Africa. The study also employs the phenomenological approach to discover new themes, patterns, and categories about telemedicine adoption in Africa. The study found that telemedicine is critical in enhancing peer to peer support and education amongst healthcare professionals, and reducing congestion in hospitals. The study also discusses concerns about the implementation of telemedicine and solutions to those concerns. Journal: Int. J. of Business and Systems Research Pages: 407-441 Issue: 4 Volume: 17 Year: 2023 Keywords: healthcare innovation; innovation adoption; telemedicine; Africa; hybrid qualitative analysis approach; adoption of innovation model; AIM; deductive thematic analysis; phenomenological analysis. File-URL: http://www.inderscience.com/link.php?id=131722 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:4:p:407-441 Template-Type: ReDIF-Article 1.0 Author-Name: Sina Zare Author-X-Name-First: Sina Author-X-Name-Last: Zare Author-Name: Kuldeep Singh Author-X-Name-First: Kuldeep Author-X-Name-Last: Singh Author-Name: Yasaman Ghasemi Author-X-Name-First: Yasaman Author-X-Name-Last: Ghasemi Author-Name: Edmund L. Prater Author-X-Name-First: Edmund L. Author-X-Name-Last: Prater Title: Social capital, knowledge sharing and operational performance in the supply chain: a buyer-supplier perspective Abstract: The vast majority of literature on social capital has focused on the impact of the different dimensions of social capital on the buying firms' performance within the buyer-supplier context. A few studies investigated the relationship between the distinct dimensions of social capital (structural, cognitive, and relational capital) and how they influence the firm's performance outcome. Drawing upon social capital theory, this paper develops a model that examines cognitive capital's mediating role in the relationship between structural capital and relational capital. The model also considers knowledge sharing as the outcome of relational capital, and knowledge sharing mediates the relationship between the buying firm's relational capital and operational performance. The empirical results suggest that cognitive capital mediates the relationship between structural capital and relational capital. Relational capital significantly impacts knowledge sharing, and knowledge sharing partially mediates the relationship between the firm's relational capital and operational performance. This study is one of the few that examines the relationship among different social capital dimensions and identifies knowledge sharing as a critical pathway between the firm's social capital and performance. Journal: Int. J. of Business and Systems Research Pages: 387-406 Issue: 4 Volume: 17 Year: 2023 Keywords: supply chain; operations management; structural capital; cognitive capital; relational capital; social capital; knowledge sharing; operational performance. File-URL: http://www.inderscience.com/link.php?id=131724 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:4:p:387-406 Template-Type: ReDIF-Article 1.0 Author-Name: Anbesh Jamwal Author-X-Name-First: Anbesh Author-X-Name-Last: Jamwal Author-Name: Rajeev Agrawal Author-X-Name-First: Rajeev Author-X-Name-Last: Agrawal Author-Name: Monica Sharma Author-X-Name-First: Monica Author-X-Name-Last: Sharma Author-Name: Govind Sharan Dangayach Author-X-Name-First: Govind Sharan Author-X-Name-Last: Dangayach Author-Name: Sumit Gupta Author-X-Name-First: Sumit Author-X-Name-Last: Gupta Title: Lean manufacturing implementation challenges: a case study of pharmaceutical industries in Himachal Pradesh (India) Abstract: Growth of pharmaceutical industries in India plays an important role in the Indian economy. Increasing customer choices, government policies concerned with environment and competition around the globe have forced industries to adopt new manufacturing strategies in India. This study aims to find the barriers of lean manufacturing for pharmaceutical industries in Himachal Pradesh, India, which is a highly important sector for the economy of the region that suffers from too traditional manufacturing systems. An interpretive structural modelling (ISM) is used to establish the relationship between the barriers identified. These barriers influence and explain the way pharmaceutical industries in the Himachal Pradesh region try to implement the lean philosophy in their manufacturing system. It was found in the study that labour uncertainty is the main driving barrier which affects the implementation of lean manufacturing. Journal: Int. J. of Business and Systems Research Pages: 462-481 Issue: 4 Volume: 17 Year: 2023 Keywords: lean manufacturing; pharmaceutical industries; interpretive structural modelling; ISM; India. File-URL: http://www.inderscience.com/link.php?id=131730 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:4:p:462-481 Template-Type: ReDIF-Article 1.0 Author-Name: Puji Handayati Author-X-Name-First: Puji Author-X-Name-Last: Handayati Author-Name: Lioni Indrayani Author-X-Name-First: Lioni Author-X-Name-Last: Indrayani Author-Name: Yohanes Indrayono Author-X-Name-First: Yohanes Author-X-Name-Last: Indrayono Title: The effect of underreaction and overreaction of firm stocks to firm valuation: data from the Indonesian Stock Exchange Abstract: This study contributes to the literature on behavioural finance by providing a case study on underreaction and overreaction uses in the model of investor sentiment of firm stocks firm valuation in the Indonesian listed firms. The results indicate that businesses with more intangible assets can better measure overreaction as compared to those with more tangible assets. The firms' value is found to positively correlate with total assets and profits for companies in which their stocks are characterised by overreaction but have no correlation to book value. Financial institutions and stocks in the wholesale industry demonstrated remarkable overreactions. However, the automotive, building and construction, food and beverage, and cement industry show evidence of higher underreaction. This study identifies that most stocks are considered as the overreaction to news of a firm's financial statements. Investors may buy stocks from the business with more tangible assets which are profitability and sales increase. Journal: Int. J. of Business and Systems Research Pages: 121-142 Issue: 2 Volume: 17 Year: 2023 Keywords: underreaction; overreaction; behavioural finance; sentiment; investing psychology. File-URL: http://www.inderscience.com/link.php?id=129195 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:2:p:121-142 Template-Type: ReDIF-Article 1.0 Author-Name: Alan D. Smith Author-X-Name-First: Alan D. Author-X-Name-Last: Smith Title: Wine preferences and perceptions during the COVID-19 pandemic: an empirical study of self-image and demographics preferences Abstract: The purpose of this research is to examine the preferences, images, and attitudes held by wine consumers and the effects they have on consumer purchasing behaviour to assess potential marketing strategies for wine product companies. The current COVID-19 global pandemic may have significantly impact previous patterns of wine consumption. A consumer behaviour segmentation model (Johnson and Bruwer, 2007) was be used in this study to analyse consumer behaviour in wine consumption and purchasing. This model provides an analytical framework that marketing efforts may use to identify wine-related purchasing behaviour. It found several significant relationships among gender, age, and preferred types of wine, self-images mature wine consumers held of wine' and the locations/occasions where wine is consumed; and several factors that influence wine purchases and their correlation with the amount spent on wine per month as well as the location where wine is purchased using MANOVA, Chi-square, and Pearson's R techniques. Journal: Int. J. of Business and Systems Research Pages: 143-171 Issue: 2 Volume: 17 Year: 2023 Keywords: consumer behaviour; COVID-19; MANOVA; wine industry. File-URL: http://www.inderscience.com/link.php?id=129197 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:2:p:143-171 Template-Type: ReDIF-Article 1.0 Author-Name: Maryam Ebrahimi Author-X-Name-First: Maryam Author-X-Name-Last: Ebrahimi Title: A system dynamics approach to strategy planning by small and medium-sized enterprises in the renewable energy sector Abstract: Small and medium-sized enterprises (SMEs) are key drivers of sustainability. Using a system dynamics computer simulation model, this paper aims to provide a general dynamic model for strategy planning in SMEs working within Iranian renewable energy industry. The model structure covers issues related to sales and marketing, innovation, production, installation, and maintenance. Results from this research showed that as strategies SMEs should build alliances like joint ventures or mutual investment corporations, implement effective mechanisms to capture and use knowledge and experience, and provide their customers, particularly the major and profitable ones with diverse services. The main contributions of this paper are the insights into the SMEs of the renewable energy sector and designing their dynamic work structure to support chief executive officers in strategy planning, and finally, proposing general strategies for the purpose of faster dealing with inquiries and fulfilling the orders regarded as primary attributes of performance. Journal: Int. J. of Business and Systems Research Pages: 172-202 Issue: 2 Volume: 17 Year: 2023 Keywords: system dynamics; small and medium-sized enterprise; SME; renewable energy; strategy; performance. File-URL: http://www.inderscience.com/link.php?id=129198 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:2:p:172-202 Template-Type: ReDIF-Article 1.0 Author-Name: Deoclécio Junior Cardoso da Silva Author-X-Name-First: Deoclécio Junior Cardoso da Author-X-Name-Last: Silva Author-Name: Julio Cezar Mairesse Siluk Author-X-Name-First: Julio Cezar Mairesse Author-X-Name-Last: Siluk Author-Name: Roger da Silva Wegner Author-X-Name-First: Roger da Silva Author-X-Name-Last: Wegner Author-Name: André Brum Missaggia Author-X-Name-First: André Brum Author-X-Name-Last: Missaggia Author-Name: Natália Pedroso Serpa Author-X-Name-First: Natália Pedroso Author-X-Name-Last: Serpa Author-Name: Leoni Pentiado Godoy Author-X-Name-First: Leoni Pentiado Author-X-Name-Last: Godoy Title: Use of multicriteria decision making methods in the project selection for expansion of residential condominiums Abstract: Civil construction projects must be evaluated to guarantee maximum assertiveness. The objective of the study was to determine the best company for the execution of a condominium expansion project, using multicriteria methods to assist in the decision-making of a condominium administrator. The analytical hierarchy process (AHP) was used to define the criteria for analysing the three candidate companies and the fuzzy TOPSIS method was used to select the company to carry out the project. The results showed that the people criterion, was the most prioritised by the manager, revealing the importance of investing in the development of employees, which is reflected in the services provided. Journal: Int. J. of Business and Systems Research Pages: 203-224 Issue: 2 Volume: 17 Year: 2023 Keywords: multicriteria decision making; selection of construction projects; analytical hierarchy process; AHP; fuzzy TOPSIS; sensitivity analysis. File-URL: http://www.inderscience.com/link.php?id=129199 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:2:p:203-224 Template-Type: ReDIF-Article 1.0 Author-Name: Leandro Pereira Author-X-Name-First: Leandro Author-X-Name-Last: Pereira Author-Name: Yuliya Tovstolyak Author-X-Name-First: Yuliya Author-X-Name-Last: Tovstolyak Author-Name: Renato Lopes da Costa Author-X-Name-First: Renato Lopes da Author-X-Name-Last: Costa Author-Name: Álvaro Dias Author-X-Name-First: Álvaro Author-X-Name-Last: Dias Author-Name: Rui Gonçalves Author-X-Name-First: Rui Author-X-Name-Last: Gonçalves Title: Internationalisation business strategy via e-commerce Abstract: E-commerce eliminated national borders between countries and provided a new dimension to the internationalisation process. Technological developments have made the study of electronic commerce in the international environment inevitable. This study highlights the possibilities and challenges of e-commerce and, consequently, the impact of this form of internationalisation on company strategy. For the development of an empirical study, five case studies were analysed with the primary objective of exploring the motivations that led companies to expand online. As the consumer is the leading player in this process, its perspective concerning ecommerce was studied. The results suggest a connection between internationalisation strategies and the adaptation to e-commerce and it makes clear that e-commerce is one of the main internationalisation strategies, characterised by a low level of risk and a low level of investment needs. Journal: Int. J. of Business and Systems Research Pages: 225-250 Issue: 2 Volume: 17 Year: 2023 Keywords: e-commerce; internationalisation; e-marketing; innovation; social media; strategy. File-URL: http://www.inderscience.com/link.php?id=129201 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:2:p:225-250 Template-Type: ReDIF-Article 1.0 Author-Name: Shadi A. Khattab Author-X-Name-First: Shadi A. Author-X-Name-Last: Khattab Author-Name: Ishaq M. Al Shaar Author-X-Name-First: Ishaq M. Al Author-X-Name-Last: Shaar Author-Name: Mohammed Khair Abu Zaid Author-X-Name-First: Mohammed Khair Abu Author-X-Name-Last: Zaid Author-Name: Fadi T. Qutaishat Author-X-Name-First: Fadi T. Author-X-Name-Last: Qutaishat Title: The effect of relational bonds on e-commerce use, the mediating effect of customers' online trust: evidence from Jordan Abstract: This study investigates the effect of relational bonds on the use of e-commerce in Jordan. In addition, the study examines the role of customers' online trust in modifying the relationship between relational bonds and e-commerce use. Structural equation modelling was used to analyse the data collected from 423 customers who had bought or obtained services from online retailers. The analysis of results from this study showed that financial, social and structural bonds have affected customers' online trust. Furthermore, the results demonstrated that the customers' online trust has affected e-commerce use. Although it was found that structural bonds directly affected e-commerce use, financial and social bonds did not have a similar effect on e-commerce use. Finally, the study found that the customers' online trust fully mediated the relationship between financial bonds and structural bonds on e-commerce use. However, the customers' online trust partially mediated the relationship between social bonds and e-commerce use. The study concluded that companies could rely on relational bonds collectively as a trust-building method and on structural and social bonds, which are considered a very effective strategy to attain customers' trust. Journal: Int. J. of Business and Systems Research Pages: 483-503 Issue: 5 Volume: 17 Year: 2023 Keywords: relational bonds; e-commerce use; customers' online trust; financial bonds; social bonds; structural bonds. File-URL: http://www.inderscience.com/link.php?id=133081 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:5:p:483-503 Template-Type: ReDIF-Article 1.0 Author-Name: Mosab I. Tabash Author-X-Name-First: Mosab I. Author-X-Name-Last: Tabash Author-Name: Mohammed Alnahhal Author-X-Name-First: Mohammed Author-X-Name-Last: Alnahhal Author-Name: Noushin Bagheri Author-X-Name-First: Noushin Author-X-Name-Last: Bagheri Title: Islamic financial institutions performance pre- and post-global financial crisis 2007/2008: empirical insights from Gulf Cooperation Council Abstract: The current study examines the financial performance of 19 Islamic financial institutions (IFIs) in five GCC countries, namely the United Arab Emirates, Saudi Arabia, Qatar, Bahrain, and Kuwait. Return on assets (ROA) and return on equity (ROE) were examined in the period ranging from 2006 to 2016. Micro and macro variables are used as independent variables. Some financial indicators such as size, assets management, and financial risk are used as independent variables to predict the dependent variables, namely, ROE and ROA. Multiple linear regression analysis was applied. The global financial crisis 2007/2008 has affected negatively these IFIs systems not only from 2007 until 2009 but also in 2010 and 2011 at a small scale. The predicted values were compared to the real values of ROE and ROA in the period 2007-2011. Results showed that the effect of the global financial crisis occurs in terms of lower ROE and ROA values than predicted by the model. The results of the current study are very beneficial for policy-makers and regulators who are interested in Islamic finance industry. Journal: Int. J. of Business and Systems Research Pages: 27-43 Issue: 1 Volume: 17 Year: 2023 Keywords: financial crisis; regression models; Islamic finance institutions; systems; Gulf Cooperation Council; GCC. File-URL: http://www.inderscience.com/link.php?id=127710 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:1:p:27-43 Template-Type: ReDIF-Article 1.0 Author-Name: Victor Chang Author-X-Name-First: Victor Author-X-Name-Last: Chang Author-Name: Robert Marshall Author-X-Name-First: Robert Author-X-Name-Last: Marshall Author-Name: Qianwen Ariel Xu Author-X-Name-First: Qianwen Ariel Author-X-Name-Last: Xu Author-Name: Anastasija Nikiforova Author-X-Name-First: Anastasija Author-X-Name-Last: Nikiforova Title: E-commerce assistant application incorporating machine learning image classification Abstract: The rise of mobile applications has helped to provide information in a broader network of products remotely. They simplify the identification of products by using their barcode or even an image of the item. This paper, therefore, aims to create an e-commerce assistant Android application that incorporates machine learning, more precisely, image classification, to assist potentially disadvantaged people on a tight budget in looking to save money. This is achieved by collecting an image dataset of essential products, training a machine learning model, and applying it to the developed application. Although the proposed solution appears to be useful and consistent with all the defined goals, the available datasets are currently insufficient, taking into account both their size and quality of individual images, which negatively affect the machine learning model and limit the potential of the solution being developed. We concluded that our final product succeeds in serving the basic functionality of the app's requirements. In the future, we will reach a wider network of users and investigate their needs, then develop these functions into the application. Journal: Int. J. of Business and Systems Research Pages: 1-26 Issue: 1 Volume: 17 Year: 2023 Keywords: e-commerce applications; e-commerce; electronic commerce; machine learning; image classification; disadvantaged people. File-URL: http://www.inderscience.com/link.php?id=127711 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:1:p:1-26 Template-Type: ReDIF-Article 1.0 Author-Name: Vanessa Grace G. Guerrero Author-X-Name-First: Vanessa Grace G. Author-X-Name-Last: Guerrero Author-Name: Roy Jucip T. Basar III Author-X-Name-First: Roy Jucip T. Basar Author-X-Name-Last: III Author-Name: Honey Rose N. Borden Author-X-Name-First: Honey Rose N. Author-X-Name-Last: Borden Author-Name: Manuel Lorenzo G. Busano III Author-X-Name-First: Manuel Lorenzo G. Busano Author-X-Name-Last: III Author-Name: Xelani Kaye A. Gonzales Author-X-Name-First: Xelani Kaye A. Author-X-Name-Last: Gonzales Author-Name: Kafferine D. Yamagishi Author-X-Name-First: Kafferine D. Author-X-Name-Last: Yamagishi Author-Name: Lanndon A. Ocampo Author-X-Name-First: Lanndon A. Author-X-Name-Last: Ocampo Title: Modelling the barriers of online shopping in the Philippines using the ISM-MICMAC approach Abstract: With a significant share of the Philippine population going online, online shopping has become an emerging trend. As the number of online shopping transactions increases daily, it has become increasingly important to understand the barriers that hinder the market. Despite its importance, current literature considers buyers' perspectives with limited insights on the sellers' perceptions. Understanding the sellers' point of view provides a holistic analysis of these barriers for better practical insights. As a case in point, with the Philippines, this study attempts to identify the barriers of online shopping and their interrelationships, both from the sellers' and buyers' perspectives, using interpretive structural modelling and MICMAC analysis. Findings show that internet connection and the need for the product's sensory experience are highly relevant barriers to the sellers. On the other hand, buyers emphasise the need for the product's sensory experience than the rest of the barriers. The managerial implications of these findings are discussed. Journal: Int. J. of Business and Systems Research Pages: 75-96 Issue: 1 Volume: 17 Year: 2023 Keywords: online shopping; barriers; interpretive structural modelling; ISM; MICMAC analysis; systems; the Philippines. File-URL: http://www.inderscience.com/link.php?id=127712 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:1:p:75-96 Template-Type: ReDIF-Article 1.0 Author-Name: K.R. Shriram Author-X-Name-First: K.R. Author-X-Name-Last: Shriram Author-Name: S. Kishore Karthiban Author-X-Name-First: S. Kishore Author-X-Name-Last: Karthiban Author-Name: A. Charan Kumar Author-X-Name-First: A. Charan Author-X-Name-Last: Kumar Author-Name: S.K. Mathiarasu Author-X-Name-First: S.K. Author-X-Name-Last: Mathiarasu Author-Name: P.G. Saleeshya Author-X-Name-First: P.G. Author-X-Name-Last: Saleeshya Title: Productivity improvement in a paper manufacturing company through lean and IoT - a case study Abstract: Industries implemented lean techniques experienced a saturation of leanness after a certain period of time. This forced them to look out for optimised lean models. The combination of lean and the internet of things (IoT) promise astonishing advances in the improvement of leanness. This paper focuses on the improvement of leanness with the aid of IoT systems. A case study was performed in a leading board paper manufacturing industry. Fuzzy logic-based lean assessment model assessed the leanness of the industry. Lean tools like value stream mapping, root cause analysis, Jidoka, etc. were performed to identify and eliminate the lean wastes. IoT-based systems were modelled. Leanness of the industry was computed before implementation, after lean implementation and after IoT implementation. The results were used to contrast the improvements shown by lean practices and IoT systems individually, and proved that the combination of lean and IoT have a greater potential for industries in the future. Journal: Int. J. of Business and Systems Research Pages: 97-119 Issue: 1 Volume: 17 Year: 2023 Keywords: lean manufacturing; leanness; lean index; fuzzy logic; digitalisation; internet of things; IoT. File-URL: http://www.inderscience.com/link.php?id=127714 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:1:p:97-119 Template-Type: ReDIF-Article 1.0 Author-Name: Amar Kumar Mishra Author-X-Name-First: Amar Kumar Author-X-Name-Last: Mishra Author-Name: Rajesh Kumar Upadhyay Author-X-Name-First: Rajesh Kumar Author-X-Name-Last: Upadhyay Author-Name: Anjali Chaudhary Author-X-Name-First: Anjali Author-X-Name-Last: Chaudhary Author-Name: Anita Singh Author-X-Name-First: Anita Author-X-Name-Last: Singh Title: Mediating effect of perceived organisational support in the relation between job stress and organisational commitment Abstract: Every employee in some way or another feels stress in their job due to their interaction with innumerable strategy, structure, systems, and styles continuously and inevitably. The ongoing pandemic across the globe has created a sense of mistrust, suspicion, and insecurity among the employees in almost every sector, increasing job stress and eroding organisational commitment, especially affective one; putting the survival of organisations at stake in the long run. However, organisations that will stand with employees extending their support and succeed in making their employees perceive the organisational support will not only keep at a bay the threat of survival but eventually will be the one to grow and prosper in the future. In the present paper, the researchers have explored the relationship between job stress, perceived organisational support, and organisational commitment among employees of higher education institutions in India using cross sectional research design and found that the erosion of organisational commitment that has resulted due to job stress during the pandemic can be restored through organisational support. Journal: Int. J. of Business and Systems Research Pages: 44-59 Issue: 1 Volume: 17 Year: 2023 Keywords: job stress; organisational commitment; perceived organisational support; HEI. File-URL: http://www.inderscience.com/link.php?id=127718 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:1:p:44-59 Template-Type: ReDIF-Article 1.0 Author-Name: Humera Khan Author-X-Name-First: Humera Author-X-Name-Last: Khan Author-Name: P.D.D. Dominic Author-X-Name-First: P.D.D. Author-X-Name-Last: Dominic Author-Name: Sadaf Hina Author-X-Name-First: Sadaf Author-X-Name-Last: Hina Title: Websites continuance usage intention: a study from the airline sector Abstract: Airline websites aim to provide comprehensive and timely information to customers through the adoption and use of information management. Despite rapid growth in information systems (IS) research and practice, few literature reviews had addressed the problems of low cost airlines website quality. This empirical research paper draws constructs from the expectation confirmation model (ECM) and IS continuance literature to develop a better theoretical explanation for low-level airline websites' problem. The IS continuance research finds the substantive differences in construct between initial IS use and IS continuance over time. This paper has constructed a new research model for customers' continuance usage of airline websites and has empirically tested it using the structural equation modelling (SEM) approach. A survey instrument was used to acquire responses from 253 usable samples from respondents. SEM results indicated that the model constructs explained 55% of the variance in airline websites continuance. Journal: Int. J. of Business and Systems Research Pages: 522-548 Issue: 5 Volume: 17 Year: 2023 Keywords: continuance usage intention; expectation confirmation model; ECM; online information system; airline websites; satisfaction; information quality. File-URL: http://www.inderscience.com/link.php?id=133102 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbsre:v:17:y:2023:i:5:p:522-548