Template-Type: ReDIF-Article 1.0 Author-Name: Ahmad Y.A. Bani Ahmad Author-X-Name-First: Ahmad Y.A. Bani Author-X-Name-Last: Ahmad Author-Name: Srinivas Kolachina Author-X-Name-First: Srinivas Author-X-Name-Last: Kolachina Author-Name: S. Suman Rajest Author-X-Name-First: S. Suman Author-X-Name-Last: Rajest Author-Name: Manisha Singh Author-X-Name-First: Manisha Author-X-Name-Last: Singh Author-Name: Arjyalopa Mishra Author-X-Name-First: Arjyalopa Author-X-Name-Last: Mishra Author-Name: S. Shyam Sundar Author-X-Name-First: S. Shyam Author-X-Name-Last: Sundar Title: Impact of digital HRM on academicians' performance: exploring the mediating role of organisational commitment Abstract: This study examines how digital human resource management (HRM) practises affect academic performance through organisational commitment. Digital HRM concepts like assessment calculation and performance signals are examined. The study randomly selected 200 notable university professors. Data was analysed using SPSS-21 using a valid questionnaire. Digital HRM practises are assessed utilising e-trainings, e-communication, e-performance appraisal, and e-performance, while scales measure performance and commitment. Regression, descriptive statistics, and path analysis analyse research. Organisational commitment mediates digital HRM features' indirect effect on performance assessment. Communication, appraisal, and transparency in digital HRM impact performance assessment. Three organisational commitment factors hardly slightly affect performance assessment. Further investigation demonstrates that digital HRM elements indirectly affect performance assessment, most notably training. HR-organised training improves faculty performance. Performance assessment benefits from affective commitment, but normative and ongoing commitments hurt it. This study examines how digital HRM practises affect academic achievement and how organisational commitment mediates this. The findings highlight the need for concentrated e-training and HR practises that encourage affective commitment while removing negative influences from other commitment forms. This research adds to the HRM digital transformation discussion and its effects on academic performance and commitment. Journal: Int. J. of Intelligent Enterprise Pages: 1-21 Issue: 1 Volume: 12 Year: 2025 Keywords: digital human resource management; HRM; academic performance and commitment; mediating role of organisational commitment; data-driven approach; teaching profession; higher education; performance evaluation methods. File-URL: http://www.inderscience.com/link.php?id=143439 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:1:p:1-21 Template-Type: ReDIF-Article 1.0 Author-Name: Firas Tayseer Mohammad Ayasrah Author-X-Name-First: Firas Tayseer Mohammad Author-X-Name-Last: Ayasrah Title: Ethical considerations of AI integration in academic environments: balancing innovation and student privacy in Jordan Abstract: This study examines the ethics of AI-powered systems that gather and analyse students' personal data, academic performance, and actions. Exploring the ethical implications of AI integration in Jordanian academic environments, examining data privacy mechanisms in AI-driven academic systems, and presenting ethical recommendations for responsible AI integration were the three aims. The ethical framework in this research promotes a well-balanced strategy that maximises AI benefits while protecting student privacy. The report recommended thorough data protection, open AI use, and clear permission processes. Thus, the study found a significant correlation between the ethical concerns of integrating artificial intelligence (AI) into academic settings in Jordan, data privacy precautions and AI-driven academic systems, and offered ethical standards for proper AI integration in Jordan. The study found that ethical issues surrounding the use of artificial intelligence (AI) in academic settings, particularly the difficult balance between innovation and student privacy in Jordan, shed light on the vital intersection of technology and education. This study highlights the necessity for a comprehensive approach to integrate artificial intelligence (AI) into educational institutions while considering ethical issues. Journal: Int. J. of Intelligent Enterprise Pages: 22-41 Issue: 1 Volume: 12 Year: 2025 Keywords: ethics and AI integration; academic environments and innovation; students privacy; academic environments; personal information; academic achievements; natural language processing. File-URL: http://www.inderscience.com/link.php?id=143442 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:1:p:22-41 Template-Type: ReDIF-Article 1.0 Author-Name: Haldhar Sharma Author-X-Name-First: Haldhar Author-X-Name-Last: Sharma Author-Name: Ankur Saxena Author-X-Name-First: Ankur Author-X-Name-Last: Saxena Author-Name: Sunil Mishra Author-X-Name-First: Sunil Author-X-Name-Last: Mishra Author-Name: Mukesh Porwal Author-X-Name-First: Mukesh Author-X-Name-Last: Porwal Author-Name: Devendra Kumar Pandey Author-X-Name-First: Devendra Kumar Author-X-Name-Last: Pandey Title: Unveiling the efficacy of COVID-19 vaccines against emerging SARS-CoV-2 variants Abstract: The global coronavirus pandemic has profoundly impacted populations worldwide, leading to widespread illness and mortality. In March 2020, the World Health Organization (WHO) declared the outbreak a global emergency and issued medical guidelines to mitigate the virus's spread. The pharmaceutical industry, educational sectors, and various governments have united in an unprecedented effort to develop and test multiple vaccines swiftly, aiming to control the pandemic and restore global stability. Companies such as Pfizer, Moderna, and GlaxoSmithKline have successfully developed vaccines. However, the SARS-CoV-2 virus mutates, leading to new variants that differ from the original strain, as is typical with viruses. Recent findings indicate that three new coronavirus variants found in several countries may be more severe, evade the immune system better, and show a reduced response to neutralising antibodies. This situation poses a challenge for communicators who must accurately convey the risks and benefits, promote continued caution among vaccinated individuals, and maintain trust in public health measures. Despite the mutations, protection against severe forms of the disease remains robust. Journal: Int. J. of Intelligent Enterprise Pages: 42-60 Issue: 1 Volume: 12 Year: 2025 Keywords: concerning SARS-CoV-2; COVID-19 vaccinations; cell-based protection; epidemic coronavirus variants of COVID-19; antibody reactivity; sequencing tracking; vaccine effectiveness. File-URL: http://www.inderscience.com/link.php?id=143443 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:1:p:42-60 Template-Type: ReDIF-Article 1.0 Author-Name: V. Kaliyammal Author-X-Name-First: V. Author-X-Name-Last: Kaliyammal Author-Name: P. Mohanasundaram Author-X-Name-First: P. Author-X-Name-Last: Mohanasundaram Title: An empirical analysis on dimensions of satisfaction's level with quality service for health insurance policyholders Abstract: Insurance companies, especially health insurers, value customer pleasure. Health assurance is offered by assurance companies. It covers legally allowed hospitalisation charges and is a payment to sustain the health assurance plan. In India, health insurance covers hospital stays even if the costs are hidden. Studies reveal that high medical expenses cause a big percentage of specific insolvencies, making health content crucial for everyone. Health insurance covers protected entities' medical and surgical costs. Life insurance covers death, but general insurance just covers money loss from asset loss. This study examines the many factors affecting health insurance policyholder satisfaction using empirical methods. The work improves service quality by assessing policyholder satisfaction factors including claims processing efficiency and communication clarity. Life insurance customer satisfaction and service quality were examined using the ANOVA test. The study indicated that customer satisfaction is more affected by consumer expectations and views of service quality's tangibility, assurance, competency, and credibility. Journal: Int. J. of Intelligent Enterprise Pages: 80-101 Issue: 1 Volume: 12 Year: 2025 Keywords: policyholders and customer satisfaction; health insurance and tangibility; policyholder satisfaction; assurance companies; life insurance covers death; communication clarity. File-URL: http://www.inderscience.com/link.php?id=143444 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:1:p:80-101 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmad Aizuddin Md Rami Author-X-Name-First: Ahmad Aizuddin Md Author-X-Name-Last: Rami Author-Name: Ismi Arif Ismail Author-X-Name-First: Ismi Arif Author-X-Name-Last: Ismail Author-Name: Nurul Afiqah Zulkifly Author-X-Name-First: Nurul Afiqah Author-X-Name-Last: Zulkifly Author-Name: Mohd Amin Sarman Author-X-Name-First: Mohd Amin Author-X-Name-Last: Sarman Title: Higher education leaders' readiness to implement micro-credentials in Malaysia: a preliminary insight Abstract: Higher education institutions (HEIs) in Malaysia have taken significant strides in integrating micro-credentials into their educational systems. However, the specific designation and status of micro-credentials for university leaders within these institutions are still evolving. Despite these challenges, there is a strong commitment to preparing for their implementation. While research on Malaysian university leadership at the faculty level remains limited, this study sought to explore the readiness of university leaders to embrace micro-credentials within HEIs. By employing a qualitative approach and focusing on the ongoing advancements in Malaysian higher education aimed at enhancing student success, this case study engaged with five university leaders, including deans, deputy deans, and department heads. The findings illustrate how these leaders, as interdependent stakeholders, are driving change and redefining their roles through systematisation. The thematic analysis identified five key themes, underscoring the opportunities to enhance support systems, technological skills, and leadership engagement for successful implementation. This study also highlights the pivotal role of university leaders in championing the integration of micro-credentials into the educational landscape of HEIs. Journal: Int. J. of Intelligent Enterprise Pages: 61-79 Issue: 1 Volume: 12 Year: 2025 Keywords: micro-credentials; university leaders; higher education leaders; preliminary insight; semi-structured interviews; technological disruption; existing educational structures. File-URL: http://www.inderscience.com/link.php?id=143445 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:1:p:61-79 Template-Type: ReDIF-Article 1.0 Author-Name: Rahul Sharma Author-X-Name-First: Rahul Author-X-Name-Last: Sharma Author-Name: Surya Prakash Author-X-Name-First: Surya Author-X-Name-Last: Prakash Author-Name: Sudhir Arora Author-X-Name-First: Sudhir Author-X-Name-Last: Arora Author-Name: Ashok Kumar Peepliwal Author-X-Name-First: Ashok Kumar Author-X-Name-Last: Peepliwal Author-Name: Sudhinder Singh Chowhan Author-X-Name-First: Sudhinder Singh Author-X-Name-Last: Chowhan Title: Leveraging data-driven decision-making for medicine supply chain resilience during health crisis Abstract: The study was conducted to identify medicine and its therapeutic segments which had suffered sourcing and stockout challenges at the grass-root level during the pandemic time. An exploratory and descriptive study was conducted using primary data from sampled private retail pharmacy business stores. Factors like the name of the medicine, their therapeutic segment, geographical location, and the timeline of the events, were captured to analyse drug shortage along. The study indicated an acute shortage of medicine including antibiotics, antiviral, and supplements during the pandemic, due to disruption in the medicine supply. There was a high correlation between the incidence of infection cases and the drug shortage, which suggests the rise in demand for essential medicine especially antibiotics and supplements following the rise in the cases. The study provides a recommendation to pharmaceutical organisations, suppliers, and policymakers, to effectively handle sourcing and supplies to counter stockout situations. Journal: Int. J. of Intelligent Enterprise Pages: 190-208 Issue: 2 Volume: 12 Year: 2025 Keywords: stockout; pharmaceutical supply chain; drug retail; inventory control. File-URL: http://www.inderscience.com/link.php?id=145649 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:2:p:190-208 Template-Type: ReDIF-Article 1.0 Author-Name: M. Sivakoti Reddy Author-X-Name-First: M. Sivakoti Author-X-Name-Last: Reddy Author-Name: Sangeeta Malhotra Author-X-Name-First: Sangeeta Author-X-Name-Last: Malhotra Author-Name: Laxmi Srinivas Samayamantri Author-X-Name-First: Laxmi Srinivas Author-X-Name-Last: Samayamantri Author-Name: Sangeeta Singhal Author-X-Name-First: Sangeeta Author-X-Name-Last: Singhal Author-Name: Sanjeev Kumar Saxena Author-X-Name-First: Sanjeev Kumar Author-X-Name-Last: Saxena Author-Name: Niharika Singh Author-X-Name-First: Niharika Author-X-Name-Last: Singh Title: Navigating the shift in brand loyalty: the impact of social media influencers Abstract: This study delves into the dynamic landscape of brand loyalty in the age of social media, focusing on the evolving influence of social media personalities. In the digital era, where social media has become integral to our lives, consumers increasingly rely on influencers for product recommendations and brand associations. We thoroughly analysed quantitative and qualitative research methods to gain a comprehensive understanding. The total sample size for the survey was 1,248 respondents, selected based on demographic distribution. Data analysis was performed using Microsoft Excel and MATLAB tools, ensuring precise and accurate insights. Our study shows that authenticity, trust, and engagement are key in the brand-consumer connection with social media celebrities. Consumer behaviour, marketing effectiveness, and customer satisfaction depend on these characteristics. Marketers and organisations can use the study's findings to utilise social media personalities in this changing marketplace. Understanding the primary determinants of brand loyalty in the digital era helps organisations adjust to changing consumer engagement and brand trust paradigms and succeed in a social media-driven market. Journal: Int. J. of Intelligent Enterprise Pages: 148-170 Issue: 2 Volume: 12 Year: 2025 Keywords: brand loyalty; social media personalities; consumer behaviour; social media-driven market; marketers and organisations; customer satisfaction; brand associations. File-URL: http://www.inderscience.com/link.php?id=145652 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:2:p:148-170 Template-Type: ReDIF-Article 1.0 Author-Name: K.K. Ramachandran Author-X-Name-First: K.K. Author-X-Name-Last: Ramachandran Author-Name: Budhi Sagar Mishra Author-X-Name-First: Budhi Sagar Author-X-Name-Last: Mishra Author-Name: Himani Oberai Author-X-Name-First: Himani Author-X-Name-Last: Oberai Author-Name: Gazala Masood Author-X-Name-First: Gazala Author-X-Name-Last: Masood Author-Name: Ila Mehrotra Anand Author-X-Name-First: Ila Mehrotra Author-X-Name-Last: Anand Author-Name: Nidhi Shukla Author-X-Name-First: Nidhi Author-X-Name-Last: Shukla Title: Scientific competence and acquisition challenges in education managed by analytics Abstract: Integration of instructional, informational, and communication technology underpins modern higher education. After decades without computer networks, these technologies have transformed learning. E-learning has transformed the education sector, solving its problems. The similarities between technology and cognition make this change noteworthy. Artificial intelligence-inspired model-based reinforcement learning lets agents predict states and outcomes across activities and settings to modify their behaviour. The human brain has similar mechanisms, especially in model selection, which is a fascinating mystery. This study examined the brain's model selection process and found that sensory prediction errors motivate the brain to choose between computational models. The theory was contrasted with internal modelling and incentive predictive performance to show how prediction errors influence computational model selection. The brain can choose an internal validation learning model based on incentive prediction mistakes, as empirical evidence demonstrates that the policy gradient method matches these models. These models were intended to address higher education issues like administration, academic delivery, instructional design, and ethics. The report also suggested that e-learning could help solve industry issues like student concentration on campuses, brain drain, and resource shortages. This research shows how technology can change higher education and the future of learning. Journal: Int. J. of Intelligent Enterprise Pages: 126-147 Issue: 2 Volume: 12 Year: 2025 Keywords: education learning; infrastructure administration; academic delivery; instructional design; e-learning model; human resource; education management; education policy. File-URL: http://www.inderscience.com/link.php?id=145654 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:2:p:126-147 Template-Type: ReDIF-Article 1.0 Author-Name: M. Deepa Author-X-Name-First: M. Author-X-Name-Last: Deepa Author-Name: Moli Ghosh Author-X-Name-First: Moli Author-X-Name-Last: Ghosh Author-Name: R. Jeya Rani Author-X-Name-First: R. Jeya Author-X-Name-Last: Rani Author-Name: D. Joel Jebadurai Author-X-Name-First: D. Joel Author-X-Name-Last: Jebadurai Author-Name: Bandit Aroman Author-X-Name-First: Bandit Author-X-Name-Last: Aroman Title: Digital era: the effect of electronic word of mouth, online communities, and online advertising on brand image and loyalty Abstract: The Indian virtual world is growing rapidly, offering advertisers and internet users many options. Online advertising can boost brand awareness, buying intent, and risk reduction. Digital communications help businesses succeed and retain customers. This communication may be word-of-mouth via digital platforms, advertisements, and virtual communities. This research examines digital marketing opportunity elements affecting e-commerce brand image and loyalty. EWOM, online advertising, and online communities let senders disseminate information via social media, email, or SMS with specified populations. The digital influential model's impact is framed by observational learning theory. The descriptive research design and quantitative survey method were used to investigate Chennai internet users' brand-related electronic device purchases. A total of 234 respondents were surveyed online. The study compares EWOM, online advertising, online communities, brand image, and brand loyalty. It shows that EWOM positively impacts brand image and loyalty. This study shows that online communities improve brand image and online advertising quality improves customer decision-making. Brand characterisation depends on social media. The study found that letting customers participate in non-commercial activities, exchange experiences, and establish relationships would boost brand image and loyalty. Journal: Int. J. of Intelligent Enterprise Pages: 171-189 Issue: 2 Volume: 12 Year: 2025 Keywords: online advertising; OA; online communities; OC; electronic word of mouth; EWOM; brand image; BI; brand loyalty; BL; customer decision-making power; non-commercial promotions. File-URL: http://www.inderscience.com/link.php?id=145655 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:2:p:171-189 Template-Type: ReDIF-Article 1.0 Author-Name: J. Sai Sudha Author-X-Name-First: J. Sai Author-X-Name-Last: Sudha Author-Name: V.S. Prasad Kandi Author-X-Name-First: V.S. Prasad Author-X-Name-Last: Kandi Author-Name: K. Ravi Kiran Yasaswi Author-X-Name-First: K. Ravi Kiran Author-X-Name-Last: Yasaswi Title: An empirical study on foreign institutional investors in Indian capital market Abstract: The stock market plays a significant role in national economic growth by stimulating industry and overall development. Developed countries' stock markets tend to be more efficient than emerging markets. As one of the world's emerging economies, India is improving its stock market standards to attract foreign investment. This foreign investment helps supplement funds for domestic companies, contributing to the country's economic growth. Emerging stock markets have become attractive to foreign investors due to their high growth potential and corporate earnings, which often exceed those of developed markets. These markets are more volatile than developed ones. This study examines how FIIs affect sector-wise market returns. It also analyses FII shareholdings and their impact on BSE Sensex company market capitalisation. The study examines how FIIs/FPIs affect sector-wise market returns and the market capitalisation of selected BSE Sensex companies through their shareholding patterns. Net FII inflows, chosen indexes return, FII investments in companies, and BSE Sensex company market capitalisation are studied. They used linear regression from April 2010 to March 2021. Journal: Int. J. of Intelligent Enterprise Pages: 103-125 Issue: 2 Volume: 12 Year: 2025 Keywords: foreign institutional investors; FIIs; Sensex and market capitalisation; domestic companies; emerging economies; Indian capital market; capital goods and technology; banking and finance sectors. File-URL: http://www.inderscience.com/link.php?id=145656 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:2:p:103-125 Template-Type: ReDIF-Article 1.0 Author-Name: Varun Kumar Author-X-Name-First: Varun Author-X-Name-Last: Kumar Author-Name: Om Ji Shukla Author-X-Name-First: Om Ji Author-X-Name-Last: Shukla Title: Advancing sustainable e-waste management systems integrated with artificial intelligence in developing countries Abstract: Industry 5.0 represents a paradigm shift in manufacturing and industrial processes, fostering collaboration between humans, robots, and smart devices. This evolution leverages advanced technologies such as artificial intelligence to boost productivity. In the context of e-waste management in developing countries, this study addresses the various influencing factors as drivers for enhancing the efficiency. These drivers were refined through an inter-consistency test and categorised using Fuzzy-DEMATEL. Notably, <i>public awareness</i> and <i>technological advancement</i> emerged as the most influential factors in integrating AI for sustainable e-waste management. Among these drivers, <i>training and empowerment</i> was found to be the most effective in driving positive change, while <i>government policy and regulation</i> played a pivotal role as the primary causal driver. This research offers valuable insights that can empower policymakers and environmental agencies to facilitate the adoption of AI and promote cleaner and more efficient e-waste management in developing countries. Journal: Int. J. of Intelligent Enterprise Pages: 356-376 Issue: 3/4 Volume: 12 Year: 2025 Keywords: artificial intelligence; Cronbach's alpha; DEMATEL; e-waste management; influencing factors; sensitivity analysis. File-URL: http://www.inderscience.com/link.php?id=147684 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:356-376 Template-Type: ReDIF-Article 1.0 Author-Name: Maureen Primrose Lal Author-X-Name-First: Maureen Primrose Author-X-Name-Last: Lal Author-Name: Ramji Nagariya Author-X-Name-First: Ramji Author-X-Name-Last: Nagariya Author-Name: Man Mohan Siddh Author-X-Name-First: Man Mohan Author-X-Name-Last: Siddh Title: Artificial intelligence in higher education: the challenges, opportunities and the road ahead Abstract: This paper investigates to deliver an overview of literature from 2012 to 2023 on the phenomena of implementing artificial intelligence in education (AIEd). With the help of the Scopus indexing database, data from 441 articles were extracted, analysed based on the keywords and preliminary reading and synthesised according to explicit inclusion and exclusion criteria and article compilation was on the parameters of scientific procedures and rationales for systematic literature review protocol (SPAR4SLR). Drawing on the recent literature depicts that the inception of artificial intelligence in education is still in its initial stage and much research is required. This article implies that although there are benefits and challenges talked about in the article delving into the application of AIEd in higher education's system of teaching and learning that shall lead the education system to newfound intelligence and automation, however, things are at the very initial stage and filled with conjectures. The findings demonstrate that the artificial intelligence-based teaching and learning phenomenon has a bright future as educational institutes understand its upcoming impact. The greatest challenge for educational institutes now is to start planning, designing, developing and implementing artificial intelligence-based courses for multidisciplinary and holistic training for future employees. Journal: Int. J. of Intelligent Enterprise Pages: 377-394 Issue: 3/4 Volume: 12 Year: 2025 Keywords: artificial intelligence; higher education; education; systematic literature review protocol; SPAR4SLR; artificial intelligence in education; AIEd. File-URL: http://www.inderscience.com/link.php?id=147685 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:377-394 Template-Type: ReDIF-Article 1.0 Author-Name: Deepak Srivastav Author-X-Name-First: Deepak Author-X-Name-Last: Srivastav Author-Name: Anand Gurumurthy Author-X-Name-First: Anand Author-X-Name-Last: Gurumurthy Title: Leveraging social media to mitigate information asymmetry during humanitarian relief operations Abstract: This study investigates social media's role in mitigating information asymmetry during humanitarian relief operations (HROs). The 2015 Chennai Flood is used as a case study, and social media analytics (SMA) is utilised to understand how social media can be leveraged to engage people with high social capital for rapid and accurate information diffusion. It uses well-established techniques for SMA, such as topic modelling, sentiment analysis, etc., to gain critical insights from the text corpus obtained from Twitter (now called X). The results show that affected people in a disaster use social media to communicate their concerns/needs to the government or humanitarian organisations (HO) through celebrities and media, which is a unique finding. Moreover, this study shows that organisations serving disaster-affected populations, such as HO and the government, can utilise celebrities not only to get feedback about HROs from the affected people but also to disseminate crucial information, such as alerts, to the affected population at increased speed. Hence, this study recommends that the HO and the government explore utilising the services of celebrities effectively during HROs, as they possess significant social influence. Journal: Int. J. of Intelligent Enterprise Pages: 395-421 Issue: 3/4 Volume: 12 Year: 2025 Keywords: social media; information asymmetry; 2015 Chennai Floods; celebrities; humanitarian supply chain management; HSCM; relief/response; case study. File-URL: http://www.inderscience.com/link.php?id=147686 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:395-421 Template-Type: ReDIF-Article 1.0 Author-Name: Jyotish N.P. Singh Author-X-Name-First: Jyotish N.P. Author-X-Name-Last: Singh Author-Name: Adarsh Anand Author-X-Name-First: Adarsh Author-X-Name-Last: Anand Author-Name: Deepti Aggrawal Author-X-Name-First: Deepti Author-X-Name-Last: Aggrawal Author-Name: Chanchal Author-X-Name-First: Author-X-Name-Last: Chanchal Title: Modelling fluctuating market size based adoption of technological products: an alternative formulation Abstract: Customers in the ever-changing digital advanced marketplace often demonstrate unpredictable behaviours that can significantly impact the potential market size. Some satisfied customers may exhibit loyalty and choose to repurchase the product, while others may be driven by indecision and impatience, resulting in lost sales. These contrasting actions of repeat purchasing and balking behaviour can result in fluctuating market size, underscoring the importance of considering such scenarios when studying technological adoption models. The authors have proposed an alternative formulation of the innovative technological product adoption model to address these ever-changing market dynamics. Notably, this formulation simultaneously accounts for customers' balking and repurchasing behaviour. By incorporating these factors, managers can gain insights into predicting market performance amidst fluctuations and navigate market volatility more effectively. The proposed alternative formulation is validated using real-life datasets and the obtained results support its practical application in predicting market outcomes. These findings lend credibility to the application of the alternative formulation, empowering managers with the means to anticipate and adapt to market fluctuations with greater precision. Journal: Int. J. of Intelligent Enterprise Pages: 213-229 Issue: 3/4 Volume: 12 Year: 2025 Keywords: balking behaviour; market dynamics; technological adoption; repeat purchase. File-URL: http://www.inderscience.com/link.php?id=147687 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:213-229 Template-Type: ReDIF-Article 1.0 Author-Name: Aman Mathan Author-X-Name-First: Aman Author-X-Name-Last: Mathan Author-Name: Deepak Verma Author-X-Name-First: Deepak Author-X-Name-Last: Verma Author-Name: Divesh Kumar Author-X-Name-First: Divesh Author-X-Name-Last: Kumar Title: An interdisciplinary examination of the evolution of e-commerce recommendation systems: perspectives from management, social science, and psychology Abstract: The rapid incorporation of digital technologies in businesses poses significant challenges for businesses entrenched in traditional approaches. Conventionally, e-commerce gained popularity for its extensive customer reach, which is no longer sufficient in the current digital era. Nowadays, most e-commerce platforms utilise recommendation systems (RS) supported by complex algorithms and models that influence customers' online product searching and purchase experiences. RS is predominantly associated with information systems (IS) and computer science (CS) research, despite it being a multi-disciplinary field. The majority of the research on RS is concentrated in IS and CS, with a primary focus on methodology and algorithms. This study examines the existing literature on RS in the domains of management, social sciences, and psychology to identify developments that extend beyond methodology and algorithms. The aim is to broaden the scope of the research domain. Journal: Int. J. of Intelligent Enterprise Pages: 230-261 Issue: 3/4 Volume: 12 Year: 2025 Keywords: recommendation systems; recommender agents; e-commerce; product recommendation systems; thematic evolution; literature review; bibliometrics. File-URL: http://www.inderscience.com/link.php?id=147688 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:230-261 Template-Type: ReDIF-Article 1.0 Author-Name: Nikita Dhankar Author-X-Name-First: Nikita Author-X-Name-Last: Dhankar Author-Name: Srikanta Routroy Author-X-Name-First: Srikanta Author-X-Name-Last: Routroy Author-Name: Satyendra Kr. Sharma Author-X-Name-First: Satyendra Kr. Author-X-Name-Last: Sharma Title: Data-driven approach for analysing the impact of external factors on pearl millet and stover yield Abstract: The objective of the study is to explore the relationship between external factors such as linkage with self-help groups (SHGs), crop diseases, ground water quality, soil testing, rainfall, and temperature during cultivation impact with pearl millet yield and stover yield. The responses from 473 farmers are collected through structured survey questionnaire. The outcomes reveal that the relationship of all external factors is statistically significant for both yields except the temperature during cultivation. The analysis of variance (ANOVA) and Pearson coefficient of correlation indicates a statistically significant positive correlation between pearl millet yield and stover yield. The current study is first of its kind related to impact of external factors on pearl millet yield and stover yield. The outcomes of the study will help policymakers in developing strategies for enhancing pearl millet and stover yield, which in turn will increase farmer income. In addition to having access to an incentive scheme for free testing of their ground water quality and soil health, the farmers have to be linked to self-help groups (SHGs). Journal: Int. J. of Intelligent Enterprise Pages: 262-287 Issue: 3/4 Volume: 12 Year: 2025 Keywords: pearl millet supply chain; analysis of variance; ANOVA; pearl millet yield; stover yield; self-help group linkage; soil testing; Pearson coefficient of correlation. File-URL: http://www.inderscience.com/link.php?id=147689 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:262-287 Template-Type: ReDIF-Article 1.0 Author-Name: Ambuj Kumar Author-X-Name-First: Ambuj Author-X-Name-Last: Kumar Author-Name: Om Ji Shukla Author-X-Name-First: Om Ji Author-X-Name-Last: Shukla Author-Name: Shailesh Mani Pandey Author-X-Name-First: Shailesh Mani Author-X-Name-Last: Pandey Title: Artificial intelligence and vaccine supply chain: analysis of the adoption challenges in the Indian context Abstract: Integrating artificial intelligence (AI) with the vaccine supply chain (VSC) can generate a robust VSC model, making it easier to supply chain live-saving vaccines and drugs. This study aims to explore challenges in integrating VSC and AI through an extensive literature survey and then validation by a team of experts through the Delphi method. The study takes into account the opinions of important groups, such as government agencies, hospitals, drug companies, and tech companies. The challenges are modelled by a multi-criteria decision-making method integrated with a fuzzy method named as fuzzy decision-making trial and evaluation laboratory (FDEMATEL) technique. The results indicate that 'long-term sustainability', 'adoption and skill gap' and 'cost and resource constraints' are the most prominent challenges that must be addressed for the successful integration of AI in VSC. The information learned from this study can help the supply chain for vaccines in India. Journal: Int. J. of Intelligent Enterprise Pages: 288-304 Issue: 3/4 Volume: 12 Year: 2025 Keywords: artificial intelligence; AI; vaccine supply chain; VSC; DEMATEL; robust model. File-URL: http://www.inderscience.com/link.php?id=147690 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:288-304 Template-Type: ReDIF-Article 1.0 Author-Name: Ece Acar Author-X-Name-First: Ece Author-X-Name-Last: Acar Author-Name: Gorkem Sariyer Author-X-Name-First: Gorkem Author-X-Name-Last: Sariyer Title: Use of machine learning for classifying manufacturing companies based on their digital transformation levels Abstract: The transformative role of machine learning technology in promoting technological innovation leading sustainable growth is becoming increasingly significant in today's business era. In this study, we implemented machine learning technology to classify the companies according to their digital transformation levels. We used manufacturing companies in Borsa Istanbul (BIST) index as the sample. We constructed a digital transformation level index based on text analysis to measure the frequency of keywords related to digital transformation. We used the sampled companies' financial, sustainability, corporate governance performance and research & development (R&D) expenditures to model their digitalisation levels. We observed that between the various machine learning algorithms, with 82% accuracy, Random Forest outperformed the others. We also showed that while R&D expenditure was the most important feature, financial performance-related features were also significant. Thus, we concluded that companies with higher financial performances, especially those making more expenditures for R&D activities, have higher digital transformation levels. Journal: Int. J. of Intelligent Enterprise Pages: 305-320 Issue: 3/4 Volume: 12 Year: 2025 Keywords: digital transformation; financial performance; R%D expenditure; machine learning; classification. File-URL: http://www.inderscience.com/link.php?id=147695 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:305-320 Template-Type: ReDIF-Article 1.0 Author-Name: Amar Kumar Mishra Author-X-Name-First: Amar Kumar Author-X-Name-Last: Mishra Author-Name: Megha Ojha Author-X-Name-First: Megha Author-X-Name-Last: Ojha Author-Name: Saumya Sharma Author-X-Name-First: Saumya Author-X-Name-Last: Sharma Author-Name: Smita Jain Author-X-Name-First: Smita Author-X-Name-Last: Jain Author-Name: Mayank Kumar Author-X-Name-First: Mayank Author-X-Name-Last: Kumar Author-Name: Archana Singh Author-X-Name-First: Archana Author-X-Name-Last: Singh Title: Predicting emotional intelligence, creative performance and knowledge management in higher education using multiple regression Abstract: Higher education institutions are paramount in emerging nations like India. Post-globalisation, India witnessed the growth of HEIs, especially in the private sector. However, today most of the institutions are struggling for their existence. One of the most vital reasons for such a staggering performance is the absence of creativity. It will not be an exaggeration to say that the present era is the era of creativity and performance and organisations that can't perform are bound to perish. Creativity can be nurtured and yield success only if it is supported by the emotional intelligence (EI) of the employees and knowledge management (KM) processes. The current paper explored the nexus between emotional intelligence, knowledge management processes and creative performance in HEIs in India and implied that though emotional intelligence affects creative performance, the impact gets manifolded in the presence of the knowledge management process. Journal: Int. J. of Intelligent Enterprise Pages: 321-339 Issue: 3/4 Volume: 12 Year: 2025 Keywords: emotional intelligence; creative performance; knowledge management process; higher educational institutions. File-URL: http://www.inderscience.com/link.php?id=147696 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:321-339 Template-Type: ReDIF-Article 1.0 Author-Name: Om Ji Shukla Author-X-Name-First: Om Ji Author-X-Name-Last: Shukla Author-Name: Devesh Kumar Author-X-Name-First: Devesh Author-X-Name-Last: Kumar Author-Name: Bharti Ramtiyal Author-X-Name-First: Bharti Author-X-Name-Last: Ramtiyal Author-Name: Abhijeet Joshi Author-X-Name-First: Abhijeet Author-X-Name-Last: Joshi Title: Interpretive structural modelling approach for barrier analysis in agent technology enabled smart manufacturing system Abstract: Over the years global challenge, flexibility, robustness, re-configurability and customised production have become the most desired needs of the modern manufacturing system. Thus, the utilisation of agent technology (AT) can have a crucial role in developing manufacturing systems that are exceptionally adaptable. The present study analyses the barriers for the implementation of AT which consists of two phases; identification of barriers and qualitative analysis. This research consists of three steps: 1) identification of most relevant barriers for AT implementation from the literature; 2) survey of Indian steering wheel manufacturing industry, rank the identified barriers; 3) establish the interrelationships among barriers. Interpretive structural modelling (ISM) and MICMAC analysis were embraced to understand the interdependency among barriers. This study seeks to identify the most dominant barrier for AT implementation in Indian manufacturing industry. Journal: Int. J. of Intelligent Enterprise Pages: 340-355 Issue: 3/4 Volume: 12 Year: 2025 Keywords: barriers; interpretive structural modelling; ISM; MICMAC analysis; manufacturing system; agent technology. File-URL: http://www.inderscience.com/link.php?id=147697 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:340-355 Template-Type: ReDIF-Article 1.0 Author-Name: Hitesh Chandiramani Author-X-Name-First: Hitesh Author-X-Name-Last: Chandiramani Author-Name: Gunjan Soni Author-X-Name-First: Gunjan Author-X-Name-Last: Soni Author-Name: Devesh Kumar Author-X-Name-First: Devesh Author-X-Name-Last: Kumar Title: Emerging trends for multi-agent systems applications in smart public bus transportation Abstract: Multi-agent systems (MAS) have evolved as a diverse and powerful paradigm for addressing difficult challenges in the field of traffic and transportation over the previous decade. This work involves a review of applications of MAS properties in the public transportation domain such as adaptive scheduling, autonomous vehicle coordination, route planning, and adaptive transportation systems. In this study using a systematic survey technique and a funnel screening process, 43 peer-reviewed papers to the keywords were identified. The filtering process comprises data reduction techniques such as abstract and conclusion evaluation. This work broadly divides the survey of MAS application on public bus transportation into three research questions which were addressed according to the article publication shortlisted. It conclusion MAS allows for dynamic routing, scheduling, and resource allocation based on real-time data, resulting in more efficient utilisation of smart transportation of public buses. This optimisation shortens wait times and increases service reliability. Journal: Int. J. of Intelligent Enterprise Pages: 422-440 Issue: 3/4 Volume: 12 Year: 2025 Keywords: multi-agent; smart transportation; public transportation. File-URL: http://www.inderscience.com/link.php?id=147706 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:12:y:2025:i:3/4:p:422-440