Template-Type: ReDIF-Article 1.0 Author-Name: R. Charanya Author-X-Name-First: R. Author-X-Name-Last: Charanya Author-Name: R.A.K. Saravanaguru Author-X-Name-First: R.A.K. Author-X-Name-Last: Saravanaguru Author-Name: M. Aramudhan Author-X-Name-First: M. Author-X-Name-Last: Aramudhan Title: Information security protection for eHealth records using temporal hash signature Abstract: Patient health record information management becomes an important and challenging task through the different practices followed by hospitals. Also, the risks associated with securing the data from cyber-attacks and data breaches become inevitable. Ransomware is the biggest cyber-attack in the history of National Health Service (NHS) which has affected nearly 100 countries worldwide in 2017. In the healthcare system, loss of sensitive data leads to embarrassment whereas loss of integrity leads to loss of the patient's life. Though many technical solutions exist to store the electronic health record (EHR) information in a secure way, it is not sufficient to satisfy the security requirements such as clear attributes for role-based access, common regulations that protect patient's privacy and specific guidelines to control the data. This paper provides a brief discussion on the existing security mechanisms with a proposal based on the temporal shadow in the cloud. The integrity of the patient's document is modelled with linked records and verified by temporal signature. Journal: Int. J. of Intelligent Enterprise Pages: 14-30 Issue: 1 Volume: 10 Year: 2023 Keywords: eHealth; electronic health record; EHR; binary Merkle tree; temporal hash signature. File-URL: http://www.inderscience.com/link.php?id=127233 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:1:p:14-30 Template-Type: ReDIF-Article 1.0 Author-Name: P. Karthikeyan Author-X-Name-First: P. Author-X-Name-Last: Karthikeyan Author-Name: E. Sathiyamoorthy Author-X-Name-First: E. Author-X-Name-Last: Sathiyamoorthy Title: Ensuring prompt cloud service provider based on service level agreement using fuzzy logics and decision support system Abstract: Cloud service users (CSU) subscribe services from a specific cloud service provider (CSP). Several cloud service providers may offer the same as well as different services. Hence various factors have to be considered while selecting a CSP which offers the same type of services. An intelligent third party (ITP) helps the CSU in choosing a best suited CSP by capturing the requirements from CSU using fuzzy logics. These are matched with service offerings of the CSPs using multi criteria decision making process called the analytic hierarchy process (AHP) and the best suited CSPs are suggested by ITP among the registered CSPs to the CSU. A negotiation process follows where the CSU can make their choice in choosing the suggested CSPs. A partial SLA is generated between the CSU and preferred CSP defining the various services selected attributes provided by the CSP, other requirements of CSU and violation details. Journal: Int. J. of Intelligent Enterprise Pages: 1-13 Issue: 1 Volume: 10 Year: 2023 Keywords: cloud service provider; CSP; service level agreement; fuzzy logic; decision support system; analytic hierarchy process; AHP; intelligent third party; ITP. File-URL: http://www.inderscience.com/link.php?id=127234 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:1:p:1-13 Template-Type: ReDIF-Article 1.0 Author-Name: Leena Khanna Author-X-Name-First: Leena Author-X-Name-Last: Khanna Author-Name: Shailendra Narayan Singh Author-X-Name-First: Shailendra Narayan Author-X-Name-Last: Singh Author-Name: Rita Kumar Author-X-Name-First: Rita Author-X-Name-Last: Kumar Author-Name: Mansaf Alam Author-X-Name-First: Mansaf Author-X-Name-Last: Alam Title: Analysis of dependence of grade point average over psychological factors incorporating advanced data mining Abstract: Academic performance of any individual is dependent upon numerous aspects regarding the day to day life of the individual under consideration. Academic performance is measured in terms of the grade point average or GPA as it is called. Grade point average is dependent not only on the faculty but also on various cognitive and non-cognitive factors. The non-cognitive or the psychological parameters include factors like study habits, social anxiety, extraversion and allied concepts. In this study, a detail analysis of numerous psychological factors that can impact the grade point is studied. Bases on the various psychological factors studied, the performance of an individual is classified and in forthcoming examination can be forecasted. Journal: Int. J. of Intelligent Enterprise Pages: 31-47 Issue: 1 Volume: 10 Year: 2023 Keywords: forecasting; grade point average; achievement motivation scale; study habits; extraversion; conscientiousness; social anxiety; emotional competence; self-efficacy for children. File-URL: http://www.inderscience.com/link.php?id=127235 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:1:p:31-47 Template-Type: ReDIF-Article 1.0 Author-Name: Binita Kumari Author-X-Name-First: Binita Author-X-Name-Last: Kumari Author-Name: Srikanta Patnaik Author-X-Name-First: Srikanta Author-X-Name-Last: Patnaik Author-Name: Tripti Swarnkar Author-X-Name-First: Tripti Author-X-Name-Last: Swarnkar Title: Feature selection for stock price prediction: a critical review Abstract: Stock price prediction has drawn huge attention due to its impact on economic stability. Accurate stock price prediction is highly essential to reduce the risk associated with it so as to decide good investment strategies. There are various factors influencing the prediction of stock indices namely gross margin, exchange rate, inflation rate, relative index and so on. Feature selection plays a vital role in effective and accurate prediction of stock indices. This paper aims to provide a clear review of widely used features affecting the stock price fluctuations, feature selection techniques and prediction models from the recent literature. The study also highlights the future directions in this domain focusing the enhancement of the prediction performance. Journal: Int. J. of Intelligent Enterprise Pages: 48-72 Issue: 1 Volume: 10 Year: 2023 Keywords: features; feature selection; stock price prediction. File-URL: http://www.inderscience.com/link.php?id=127236 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:1:p:48-72 Template-Type: ReDIF-Article 1.0 Author-Name: R. Devi Author-X-Name-First: R. Author-X-Name-Last: Devi Author-Name: P. Sujatha Author-X-Name-First: P. Author-X-Name-Last: Sujatha Title: Fusion of multimodal biometric authentication using gradient pyramid, PCA and DWT Abstract: Authentication and identification is the most challenging task in our daily life. Biometric system provides an automatic identification of an individual using his/her behavioural or physiological traits. In this work, multimodal biometric traits namely fingerprint and iris, have been used. These traits were pre-processed using Wiener filter and applying some morphological operations. The pre-processed biometric traits were segmented and fused using three algorithms namely discrete wavelet transform (DWT), principal component analysis (PCA) and gradient pyramid (GP). The fused biometric traits using GP provides a better result without losing the meaningful information. The feature extraction and classification were carried out using grey scale co-occurrence matrices (GLCM) and support vector machine (SVM). Authentication using fused biometric traits gives accuracy as 83.75, whereas the accuracy using fingerprint 73.75% and iris was 78.48%. Journal: Int. J. of Intelligent Enterprise Pages: 73-98 Issue: 1 Volume: 10 Year: 2023 Keywords: biometric authentication; gradient pyramid; support vector machine; SVM; discrete wavelet transformation; DWT; principal component analysis; PCA; iris and fingerprint; fusion. File-URL: http://www.inderscience.com/link.php?id=127237 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:1:p:73-98 Template-Type: ReDIF-Article 1.0 Author-Name: Tinik Sugiati Author-X-Name-First: Tinik Author-X-Name-Last: Sugiati Author-Name: Zakhyadi Ariffin Author-X-Name-First: Zakhyadi Author-X-Name-Last: Ariffin Author-Name: Dian Masita Dewi Author-X-Name-First: Dian Masita Author-X-Name-Last: Dewi Author-Name: Freddy Jul Pribadi Author-X-Name-First: Freddy Jul Author-X-Name-Last: Pribadi Title: Improving the competitiveness of traditional markets in Martapura Riverside, Banjarmasin, South Kalimantan for raising the local economy Abstract: Traditional markets have an important role in improving the local economy. This paper focuses on obtaining information about priorities to improve the survivability of traditional markets in competition. The object of this study is Ujung Murung Market which is one of the traditional markets in the Martapura Riverside, South Kalimantan. Respondents are categorised as seller and buyer in the traditional market and the employees of the Civil of Management Market Office. Data are analysed by using analytical hierarchy process (AHP) with PriEst Software. The novelty of this study is the consideration of customer value as sources of competitive advantage in traditional market. The data analysis shows that traditional market in Martapura Riverside has competition-based customer value perspective such as: function value, emotional value, social value, seller service value, convenience value, added value, and reasonableness of the price. This study shows that the strategy of considering the perspective of customers significantly improve traditional market competitiveness. Journal: Int. J. of Intelligent Enterprise Pages: 99-111 Issue: 1 Volume: 10 Year: 2023 Keywords: competitive advantage; customer value; traditional markets; market competitiveness; local economy. File-URL: http://www.inderscience.com/link.php?id=127238 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:1:p:99-111 Template-Type: ReDIF-Article 1.0 Author-Name: Hussein Abdulla El-Omari Author-X-Name-First: Hussein Abdulla Author-X-Name-Last: El-Omari Title: Saudis' perception of medical information privacy: a point-of-view on the use of medical technology Abstract: This article examined the perception of Saudi consumers (patients) regarding the privacy of their electronic medical records. The findings of this study showed that Saudis' concerns regarding the privacy of their electronic medical records did not indicate any significant difference regarding the respondents' duration of service with current provider, or their gender. On the other hand, significant differences were found regarding Saudis' concerns about privacy and their education levels, age groups and marital status. The social and cultural habits of Saudis drives them to care a lot about their personal privacy as their social life restricts revealing sensitive issues to strangers, especially when it comes to females and/or family members. They also still have lack of confidence in electronic issues/devices as many social problems surface every now and then in Saudi society that usually have unfortunate consequences. For example, many social problems have surfaced because of Saudis' using social media on their mobiles. Journal: Int. J. of Intelligent Enterprise Pages: 164-179 Issue: 2 Volume: 10 Year: 2023 Keywords: environment of Saudi Arabia; medical sector of Saudi Arabia; information privacy; medical records; medical technology. File-URL: http://www.inderscience.com/link.php?id=130066 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:2:p:164-179 Template-Type: ReDIF-Article 1.0 Author-Name: Akash Awasthi Author-X-Name-First: Akash Author-X-Name-Last: Awasthi Author-Name: P. Deepalakshmi Author-X-Name-First: P. Author-X-Name-Last: Deepalakshmi Author-Name: P. Nagaraj Author-X-Name-First: P. Author-X-Name-Last: Nagaraj Author-Name: Amarakota Madhu Vamsi Author-X-Name-First: Amarakota Madhu Author-X-Name-Last: Vamsi Title: Movable barcode scanning system using IoT smart glass technology Abstract: Nowadays, everything is getting digitalised in India according to the Digital India program. Lot of manual work has been replaced by digital and IoT-based technologies. The trend of using smart glasses for managing warehouses is increasing. But then, these glasses need manual interaction which may lead to manual error. So, there exists a need for a technology, which can make the inventory management in the warehouse totally digitalised and automatic. This study aims to develop a technology to reduce the manual interaction that further reduces theft, manual errors and benefits the organisation to save cost spent on workers every month. Considering the need for industrial automation, the present study provides an idea of movable barcode scanning system to measure the inventories and send a notification to supplier and the company employee for order placement as well as display currently scanned inventories on a webpage hosted by our system. This system associates the industry to be advanced, fast and digitalised especially in warehouse management. Journal: Int. J. of Intelligent Enterprise Pages: 113-124 Issue: 2 Volume: 10 Year: 2023 Keywords: barcode scanning; automation; smart glasses; manual interaction; inventory management. File-URL: http://www.inderscience.com/link.php?id=130067 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:2:p:113-124 Template-Type: ReDIF-Article 1.0 Author-Name: Muhammad Sadiq Author-X-Name-First: Muhammad Author-X-Name-Last: Sadiq Author-Name: Zaleha Othman Author-X-Name-First: Zaleha Author-X-Name-Last: Othman Author-Name: Ooi Chee Keong Author-X-Name-First: Ooi Chee Author-X-Name-Last: Keong Title: A critical analysis of the earnings management strategies in politically influenced firms Abstract: The purpose of this paper is to investigate whether politically influenced firms employ income-decreasing accrual-based earnings management strategy to report less taxable income. The current study also investigates whether politically influenced firms substitute one of the earnings management strategies with the other. The study analysed data from 290 firms listed in Pakistan Stock Exchange over the nine years period. The results envisaged that politically influenced firms manipulate earnings downwards with the objective to report less taxable income, pursuant to which the regulators must keep political factors in mind during regulatory reforms. This study also found that politically influenced firms substitute one earnings management strategy with the other. This study contributes to the field of earnings management where it integrates agency theory with political economy theory. The paper suggests that downwards accrual-based earnings management strategy is the underlying mechanism through which politically influenced firms report less taxable income. The paper contributes to the field of corporate governance study where we provide deep insight to policymakers who are interested in improving corporate governance in transnational economies. Journal: Int. J. of Intelligent Enterprise Pages: 125-143 Issue: 2 Volume: 10 Year: 2023 Keywords: political influences; accruals-based earnings management; real earnings management; REM; corporate governance. File-URL: http://www.inderscience.com/link.php?id=130068 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:2:p:125-143 Template-Type: ReDIF-Article 1.0 Author-Name: C. Mala Author-X-Name-First: C. Author-X-Name-Last: Mala Author-Name: Vishnu Deepak Author-X-Name-First: Vishnu Author-X-Name-Last: Deepak Author-Name: Sidharth Prakash Author-X-Name-First: Sidharth Author-X-Name-Last: Prakash Author-Name: Surya Lashmi Srinivasan Author-X-Name-First: Surya Lashmi Author-X-Name-Last: Srinivasan Title: A hybrid artificial bee colony algorithmic approach for classification using neural networks Abstract: Artificial neural networks are an integral component of most corporate and research functions across different platforms. However, depending upon the nature of the problem and quality of initialisation values, the usage of standard stochastic gradient descent always risks the possibility of getting trapped in local minima and saddle points for smaller neural networks in particular. One way to overcome this is by using algorithms with proven global search capabilities to train the network. This allows the neural net to reach the optimum values for weights regardless of the initialisation parameters used during training. Two algorithms are proposed based on modifications to the original artificial bee colony algorithm and their performances are analysed extensively on three benchmark datasets of increasing complexity. The first (NMABC), employs neural network appropriate initialisation and linear search space expansion. This is integrated into the second (LHABC), and incorporates stochastic gradient descent into the employed phase of the bees for faster convergence. It is found that the proposed algorithms consistently outperform standard approaches in all cases. Journal: Int. J. of Intelligent Enterprise Pages: 144-163 Issue: 2 Volume: 10 Year: 2023 Keywords: artificial bee colony algorithm; neural network; meta-heuristic; hyperparamter. File-URL: http://www.inderscience.com/link.php?id=130069 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:2:p:144-163 Template-Type: ReDIF-Article 1.0 Author-Name: N.V.S. Natteshan Author-X-Name-First: N.V.S. Author-X-Name-Last: Natteshan Author-Name: Sureshkumar Nagarajan Author-X-Name-First: Sureshkumar Author-X-Name-Last: Nagarajan Title: A modified fuzzy C means approach for segmenting the input flood images captured by synthetic aperture radar Abstract: Image segmentation is a process of separating a homogenous area into a heterogeneous area. In this work the fuzzy C means algorithm is utilised for segmenting the flooded areas in the given input image based on intensity of images. But there is a problem of speckle noise occurring in the images due to backscattered echo from earth surface. Hence a fuzzy discontinuity adaptive weight based non-local means filtering is being used to eliminate the speckle noise. In the fuzzy C means segmentation algorithm a modification is proposed which is done as two steps namely the quantisation and aggregation. A modified fuzzy C means algorithm is required in order to reduce the convergence rate of the algorithm. This research work particularly focuses on the application of the fuzzy C means clustering algorithm for segmenting the flood occurred regions and further processing of the flood occurred regions will be carried out. Journal: Int. J. of Intelligent Enterprise Pages: 180-191 Issue: 2 Volume: 10 Year: 2023 Keywords: fuzzy C means; de-speckling; clustering; quantisation; aggregation; segmentation. File-URL: http://www.inderscience.com/link.php?id=130070 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:2:p:180-191 Template-Type: ReDIF-Article 1.0 Author-Name: Mona Jami Pour Author-X-Name-First: Mona Jami Author-X-Name-Last: Pour Author-Name: Fateme Ebrahimi Delavar Author-X-Name-First: Fateme Ebrahimi Author-X-Name-Last: Delavar Author-Name: Atefe Khaleghi Author-X-Name-First: Atefe Author-X-Name-Last: Khaleghi Title: How strategic intelligence impact marketing strategy effectiveness in SMEs context: using structural equation modelling Abstract: Despite the increasing investment in marketing activities, many business expectations have not been satisfied yet. How to invest in marketing strategies depends on the capabilities and intelligence of marketing managers in the analysis of the conditions and one of the key intelligence is strategic intelligence. Strategic intelligence pertains to provision the critical information to achieve a competitive advantage and is an essential part of the competition in today's economy. Despite the important strategic intelligence of marketing managers, few studies empirically investigated the impact of it on marketing effectiveness. Therefore, the main aim of this study is to evaluate empirically the relationship between strategic intelligence and marketing strategy effectiveness in small and medium-sized enterprises (SMEs) context. Data from 186 SMEs provide empirical support for the critical role of strategic intelligence on marketing strategy effectiveness. The study also found that all of the strategic intelligence components, including foresight, systematic thinking, partnering, and motivating and empowering except the visioning component, had a positive and significant effect on marketing strategy effectiveness. Journal: Int. J. of Intelligent Enterprise Pages: 206-220 Issue: 2 Volume: 10 Year: 2023 Keywords: strategic intelligence; marketing strategy effectiveness; small and medium-sized enterprise; SME; structural equation modelling; SEM. File-URL: http://www.inderscience.com/link.php?id=130071 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:2:p:206-220 Template-Type: ReDIF-Article 1.0 Author-Name: T.S. Murthy Author-X-Name-First: T.S. Author-X-Name-Last: Murthy Author-Name: N.P. Gopalan Author-X-Name-First: N.P. Author-X-Name-Last: Gopalan Author-Name: Banothu Balaji Author-X-Name-First: Banothu Author-X-Name-Last: Balaji Title: A modified un-realisation approach for effective data perturbation Abstract: In recent times, data has been evolving from multiple sources like social media, Facebook, Twitter, etc. in large volumes and acquiring in multiple forms. These data have multi-dimensional sensitive features from different resources entail that privacy preserving is a significant research issue. In this context, un-realisation algorithms have evolved to hide the collected data with the addition of noise to them to generate a distorted dataset while attempting privacy preservation. In this paper, a novel modified un-realisation algorithm has been proposed to generate a distorted dataset by removing duplicate elements in the dataset decreasing computational time of decision tree construction process. These techniques add noise to the original data and generate a distorted dataset by using a un-realisation algorithm. This novel approach converts the original sample datasets into different perturbed datasets by inducing the noise through set theory. It experimentally produces better results than un-realisation algorithm in terms of CPU execution time and space complexity. Journal: Int. J. of Intelligent Enterprise Pages: 192-205 Issue: 2 Volume: 10 Year: 2023 Keywords: un-realisation algorithm; modified un-realisation algorithm; MUA; privacy preserving; perturbation. File-URL: http://www.inderscience.com/link.php?id=130072 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:2:p:192-205 Template-Type: ReDIF-Article 1.0 Author-Name: Suchitra Pandey Author-X-Name-First: Suchitra Author-X-Name-Last: Pandey Author-Name: Parul Rishi Author-X-Name-First: Parul Author-X-Name-Last: Rishi Title: Sustainable Development Goals through public sector social responsibility of Indian energy firms - a qualitative analysis Abstract: Public sectors have been regulated by the Department of Public Enterprises (DPE) CSR guidelines since 2010, and thus have the experience and expertise of formally carrying out corporate social responsibility (CSR). These organisations also fall under the ambit of the CSR law, which prevails over the DPE CSR guidelines. Understanding the potential of these organisations to contribute to CSR, the government aims to achieve Sustainable Development Goals (SDGs) through CSR. Consequently, the country has linked the SDGs with its national development goals and has set ambitious goals for their implementation. This study analyses and documents the CSR practices of the Indian public sectors concerning the CSR law and the SDGs for sustainable growth in a holistic manner for the people and the planet. Further, the interviews from the key functionaries have helped understand the policy level changes that need to be introduced for successful CSR implementation and achievement of the goals. Journal: Int. J. of Intelligent Enterprise Pages: 221-241 Issue: 3 Volume: 10 Year: 2023 Keywords: corporate social responsibility; CSR; Sustainable Development Goals; SDGs; sustainability; public sector enterprises; environment; development; community; energy; employee engagement; India. File-URL: http://www.inderscience.com/link.php?id=131923 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:3:p:221-241 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: 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 Gonçalves Author-X-Name-First: Rui Author-X-Name-Last: Gonçalves Title: Consumer choice and sustainable competitive advantage in food industry Abstract: Although the investigation into the resource-based view (RBV) is rather extensive from an organisational point of view, there is a lack of research to confirm the customers' view of the competitiveness factors. This investigation seeks to address this gap. For this purpose, two studies were conducted. The first study is qualitative analysis using in-depth interviews with top managers of three international food brands, aiming to evaluate competitive factors, from the firm perspective. The second study is quantitative, evaluating customers' perceptions relating to the same competitive factors. The results of this research allow a deep understanding of how to create a competitive advantage in the food industry, in particular in fast-food restaurants. In addition, it shows that there is a significant difference between the perspectives of the brands and those of consumers in relation to competitiveness factors and Consumers give more value to their own availability to purchase, while companies focus more on the surrounding context. Journal: Int. J. of Intelligent Enterprise Pages: 242-263 Issue: 3 Volume: 10 Year: 2023 Keywords: resource-based view; VRIO framework; dynamic capabilities; sustainable competitive advantage; food industry. File-URL: http://www.inderscience.com/link.php?id=131929 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:3:p:242-263 Template-Type: ReDIF-Article 1.0 Author-Name: Álvaro Dias Author-X-Name-First: Álvaro Author-X-Name-Last: Dias Author-Name: Leandro Pereira Author-X-Name-First: Leandro Author-X-Name-Last: Pereira 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 Title: Talent management and organisational commitment: exploring the mediation effects of creativity and proactivity Abstract: This work focuses on the analysis of talent management. The variables of creativity were chosen; balance between personal life and work, proactivity, career management and organisational commitment as influential factors. In the current conjecture the market has to meet the demands, companies are looking for a way to stand out from the competition. As such, this article aims to explore the antecedents of organisational commitment to improve talent management. Partial least square software was used to build a structural equation model, with survey data from a convenience sample of 233 individuals. Results reveal that work-life balance has a significant positive effect on creativity and career satisfaction, and that creativity has a significant positive effect on organisational commitment. The mediation effects of creativity and proactivity were also tested providing evidence of the leveraging effect on organisational commitment of work-life balance and personal life. Journal: Int. J. of Intelligent Enterprise Pages: 290-330 Issue: 3 Volume: 10 Year: 2023 Keywords: talent retention; commitment; creativity; proactivity; work-life balance; PLS. File-URL: http://www.inderscience.com/link.php?id=131935 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:3:p:290-330 Template-Type: ReDIF-Article 1.0 Author-Name: Subhasri Vijayakumar Author-X-Name-First: Subhasri Author-X-Name-Last: Vijayakumar Author-Name: V. Maheysh Author-X-Name-First: V. Author-X-Name-Last: Maheysh Title: Sentiment analysis on pandemic poems using TextBlob Abstract: Pandemic poetries are those poems written to document the pandemic poetically, created with an aim to connect people and help each other in the times of isolation. Interpreting poems largely reside with the readers and there is always the underlying communication of the author too. A highly subjective area for interpretation and understanding, marked with contextual meanings, poems offer diverse thought processes. Analysing the sentiments of the written work cannot always be white and black; there are grey areas to be explored also. How convergent or divergent will be the results of interpretation when analysed through machine sentiments? Through this study we aim to analyse two poems published during this pandemic situation using Textblob. It can be deduced that sentiment is influenced only by the literal meaning of words, rather than by the context of the whole sentence/paragraph which brings in divergence in interpretation especially in the word-list-based method. Journal: Int. J. of Intelligent Enterprise Pages: 280-289 Issue: 3 Volume: 10 Year: 2023 Keywords: sentiment analysis; poems; pandemic literature; TextBlob; machine interpretations; social media; Python; opinion mining. File-URL: http://www.inderscience.com/link.php?id=131936 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:3:p:280-289 Template-Type: ReDIF-Article 1.0 Author-Name: Bharti Ramtiyal Author-X-Name-First: Bharti Author-X-Name-Last: Ramtiyal Author-Name: Deepak Verma Author-X-Name-First: Deepak Author-X-Name-Last: Verma Author-Name: Ajay Pal Singh Rathore Author-X-Name-First: Ajay Pal Singh Author-X-Name-Last: Rathore Title: Interpretive structural modelling of factors affecting perceived risk in adoption of mobile payment system: a vendor's perspective Abstract: In a research on adoption of a technology, perceived risk becomes a centrepiece of the study. Similarly, research on adoption of mobile payment systems (MPSs) is supplemented by risk research. This study focuses on studying the inter-relationships among various types of perceived risk from vendor's point of view using interpretive structural modelling (ISM). It focuses on the risk perception of small vendors towards adoption of MPS in India. The developed ISM in Indian conditions reveals unidirectional and bi-directional structural relationships among seven factors of risk perception. The paper also presents a decision making tool when it comes to risk mitigation. Decision maker can use it to chalk out a strategy to prioritise and subsequently mitigate the risk arising in adoption of MPS. Additionally, it supports the small vendor base by creating more awareness among government bodies as to how to reduce the perceived risk associated with MPS. Journal: Int. J. of Intelligent Enterprise Pages: 264-279 Issue: 3 Volume: 10 Year: 2023 Keywords: mobile payment system; MPS; risk; adoption; vendor; interpretive structural modelling; ISM. File-URL: http://www.inderscience.com/link.php?id=131975 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:3:p:264-279 Template-Type: ReDIF-Article 1.0 Author-Name: Boris Miethlich Author-X-Name-First: Boris Author-X-Name-Last: Miethlich Author-Name: Denis Belotserkovich Author-X-Name-First: Denis Author-X-Name-Last: Belotserkovich Author-Name: Samira Abasova Author-X-Name-First: Samira Author-X-Name-Last: Abasova Author-Name: Еlena Zatsarinnaya Author-X-Name-First: Еlena Author-X-Name-Last: Zatsarinnaya Author-Name: Oleg Veselitsky Author-X-Name-First: Oleg Author-X-Name-Last: Veselitsky Title: Influence of COVID-19 pandemic on the digitalisation of enterprises management Abstract: The goal of this study was to analyse changes in enterprise management among COVID-19 and create mechanism for managing digital transformation. The methodological basis of the study was represented by a terminological analysis of the concepts of automation, digitalisation, and digital transformation, the results of which were aimed at building a conceptual scheme for business digitalisation. During the research, we found out that a full-fledged and successful digital transformation is possible after the restructuring of the company's business process management system. By comparing the outcomes of using digital platform-based business models (used in Azerbaijan, Russia, and Switzerland), the most promising one was selected to be used in the COVID-19 affected environment. The collected data suggest that regardless of the country's digitalisation level, innovation and transformation continue to provide business-promoting aid. Utilisation of modern online platforms for doing business is proved to be instrumental for substantial digital governance advancement. Journal: Int. J. of Intelligent Enterprise Pages: 331-350 Issue: 4 Volume: 10 Year: 2023 Keywords: digital economy; business model; innovation; strategic management; growth. File-URL: http://www.inderscience.com/link.php?id=133818 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:4:p:331-350 Template-Type: ReDIF-Article 1.0 Author-Name: Chuks Medoh Author-X-Name-First: Chuks Author-X-Name-Last: Medoh Author-Name: Arnesh Telukdarie Author-X-Name-First: Arnesh Author-X-Name-Last: Telukdarie Title: Fourth industrial revolution: implications for the water sector in an African context Abstract: The water sector can leverage advancement provided for by the fourth industrial revolution (4IR). The operational protocols of water distribution and monitoring are significant and diverse. This paper segregates and focuses on non-revenue water (NRW) issues. This paper proposes a model suitable to optimise leak detection and water balancing aspects of water operations. The developments are driven by tools of the 4IR discussing the role of small and medium enterprises (SMEs) as a theoretical basis. The methodology employs simulation and design of experiments (DOE) to collaborate activities (business processes) relating to leak detection and water balancing operational protocols. The data collection is developed in a repository using the Microsoft Visio tool and tested using AccuProcess Modeler (simulation tool). The results through the proposed holistic leak detection and water balancing model (LDWBM) highlight significant savings in the total business response times and sustainable for water distribution and monitoring. Journal: Int. J. of Intelligent Enterprise Pages: 351-369 Issue: 4 Volume: 10 Year: 2023 Keywords: design of experiment; DOE; fourth industrial revolution; 4IR; modelling; non-revenue water; simulation; small and medium enterprises; SMEs. File-URL: http://www.inderscience.com/link.php?id=133819 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:4:p:351-369 Template-Type: ReDIF-Article 1.0 Author-Name: Rashmi Rani Patro Author-X-Name-First: Rashmi Rani Author-X-Name-Last: Patro Author-Name: Rojalini Patro Author-X-Name-First: Rojalini Author-X-Name-Last: Patro Author-Name: Mitali Madhusmita Nayak Author-X-Name-First: Mitali Madhusmita Author-X-Name-Last: Nayak Author-Name: Srikanta Patnaik Author-X-Name-First: Srikanta Author-X-Name-Last: Patnaik Title: EOQ model with imperfect items and backorder with allowable proportionate discount using cross selling effects Abstract: The present paper aims to develop an economic order quantity (EOQ) model for the items of imperfect quality with a joint effect of proportionate discount, backorder, clustering with association rule mining and cross-selling effect. In this work, first, we computed the ordering policy with cross-selling effect. In case of imperfect quality items, cross-selling effects are clearly visible. Different data mining techniques are used to establish relationships among the items. We used clustering to find similar clusters in the inventory data base then the apriori algorithm to generate frequent item sets among the item sets in individual clusters. With cross-selling effect, the frequent items are taken as specific entities. Further, the EOQ of these entities is calculated along with the shortage level. Lastly, we considered a numerical example to validate the proposed work. Journal: Int. J. of Intelligent Enterprise Pages: 370-383 Issue: 4 Volume: 10 Year: 2023 Keywords: inventory; imperfect quality; proportionate discount; backorder; clustering; economic order quantity; EOQ. File-URL: http://www.inderscience.com/link.php?id=133820 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:4:p:370-383 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: Tânia Filipa Author-X-Name-First: Tânia Author-X-Name-Last: Filipa Author-Name: Filipa Martinho Author-X-Name-First: Filipa Author-X-Name-Last: Martinho Author-Name: Rui Gonçalves Author-X-Name-First: Rui Author-X-Name-Last: Gonçalves Author-Name: Álvaro Dias Author-X-Name-First: Álvaro Author-X-Name-Last: Dias Author-Name: Leandro Pereira Author-X-Name-First: Leandro Author-X-Name-Last: Pereira Title: The impact of intelligent systems on the compensation policies of companies of the future Abstract: Even though intelligent systems bring numerous benefits to organisations, the challenges that may occur in their functionality are still of concern, as revealed in the literature. The implementation of technologies has been growing, leading organisations to become advantageous and competitive, increasing productivity as well as reducing the functions performed by humans. Managers cannot devalue their employees, because they have the help of machines and initially feel difficulties in their adaptation. To understand the connection between the subjects of intelligent systems and compensation policies, the research questions will address the impact of intelligent systems on the compensation policies of the companies of the future and the impact that these technologies will have on rewards and employee appreciation. To answer these questions, a questionnaire was launched, and the results are analysed using a quantitative model, which showed that operation and non-operation benefits of using intelligent systems will positively affect compensation policies and that risks of its implementation are not a main concern. Journal: Int. J. of Intelligent Enterprise Pages: 384-402 Issue: 4 Volume: 10 Year: 2023 Keywords: intelligent systems; compensation policies; human resource management. File-URL: http://www.inderscience.com/link.php?id=133821 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:4:p:384-402 Template-Type: ReDIF-Article 1.0 Author-Name: Bhavesh Chandrayan Author-X-Name-First: Bhavesh Author-X-Name-Last: Chandrayan Author-Name: Sumit Gupta Author-X-Name-First: Sumit Author-X-Name-Last: Gupta Author-Name: Ravinder Kumar Author-X-Name-First: Ravinder Author-X-Name-Last: Kumar Author-Name: Govind Sharan Dangayach Author-X-Name-First: Govind Sharan Author-X-Name-Last: Dangayach Author-Name: Sandeep Jagtap Author-X-Name-First: Sandeep Author-X-Name-Last: Jagtap Title: Modelling and analysis of key enablers of digital transformation in food SMEs using ISM and MICMAC approach Abstract: The food business in India is the backbone of the country, meeting the fundamental human need of food for a large portion of the country's population while also exporting it to other countries. Small and medium-sized enterprises (SMEs) account for the major share of total food production, even though they lack the necessary technological infrastructure and operating standards. Due to COVID-19 crisis, the food sector has been obliged to resolve and upgrade to the new laws tralatitious by the government, which has significantly stimulated the long-awaited digital transformation of food SMEs in India. The purpose of this study is to identify and analyse the major enablers of digital transformation in food SMEs. The interpretive structural modelling (ISM) methodology has been used to categorise the identified enablers of digital transformation, which further helps in identifying the most proactive enabler and assess the integration of other enablers in the technological paradigm. Journal: Int. J. of Intelligent Enterprise Pages: 419-444 Issue: 4 Volume: 10 Year: 2023 Keywords: digital transformation; enablers; Industry 4.0; interpretive structural modelling; ISM; food SMEs; MICMAC. File-URL: http://www.inderscience.com/link.php?id=133826 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:4:p:419-444 Template-Type: ReDIF-Article 1.0 Author-Name: Tanuj Nandan Author-X-Name-First: Tanuj Author-X-Name-Last: Nandan Author-Name: Manas Agrawal Author-X-Name-First: Manas Author-X-Name-Last: Agrawal Author-Name: Rajat Kumar Soni Author-X-Name-First: Rajat Kumar Author-X-Name-Last: Soni Title: Tweets analytics for directional prediction of stock market movement: a short window event study Abstract: This study examines the influence of tweets on the prediction of the Nifty 50 index movement in association with the COVID-19 vaccination news break event in India. A 15-day short window analysis has conducted using 27,175 tweets with 14 hashtags from the first date of the COVID-19 vaccination news break in India on December 2020. The investigation explores the impact of sentiment, mood and volume of tweets on Nifty 50 index movement through regression analysis. We find positive sentiment more significantly influences the market movement than negative sentiment associated with any optimistic event, and mood is the most efficient predictor of daily market movement. However, volumes of tweets have not significantly supported our predictor model used in this study. Therefore, this study provides the behavioural impact of Twitter sentiment analysis on stock market movement only associated with an optimistic event, which can also be considered a gap for future exploration. Journal: Int. J. of Intelligent Enterprise Pages: 403-418 Issue: 4 Volume: 10 Year: 2023 Keywords: sentiment analysis; Nifty 50 index; Twitter; COVID-19; stock market movement. File-URL: http://www.inderscience.com/link.php?id=133830 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:10:y:2023:i:4:p:403-418