The present study investigated the business school students’ intention to misuse Generative Artificial Intelligence (GenAI) technologies like ChatGPT to complete their academic assignments. This study contextualises the key elements from deterrence and neutralisation theories, including the role of gender, which influence the students’ misuse intention in higher education towards using GenAI to assist in completing their academic work. We collected data from 413 business school students in India who had already used ChatGPT for their academic assignments. The analysis indicates a positive relationship between all neutralisation techniques and misuse intention. Regarding deterrence elements, the severity of formal sanctions, the certainty of shame, and moral beliefs negatively affect the students’ misuse intention. In terms of the moderating influence of gender, we found that male students, as compared to females, are relatively likely to exhibit a greater degree of neutralisation behaviour and a lesser degree of deterrence behaviour. Overall, the results show that neutralisation techniques have a greater impact than deterrence factors in controlling the misuse of GenAI for academic assignments. The study further reflects how the impact of neutralisation constructs and deterrence factors varies between males and females in using GenAI at higher education institutions.

As innovative information technologies (IT) become increasingly available, there is a need to understand how these technologies diffuse in organisations. Several studies on IT innovation have investigated the relationship of key innovation attributes, namely relative advantage, compatibility, complexity, trialability, and observability with either ‘intention to use’ or ‘adoption’ in the organisations. However, those studies have observed contradictory results regarding these relationships. Additionally, there is a lack of investigation on how contingencies of innovation type (IT service vs IT product) and country context (developing vs developed) influence these relationships. Considering these gaps, the present research undertakes a meta-analysis of 86 studies published during 2001–2020 to examine how organisational ‘intention to use’ and ‘adoption’ of IT innovations are influenced by key innovation attributes. We also examine how contingencies of innovation type and country context influence these relationships. Results contribute to the diffusion of innovations as well as information systems literature.

On-demand home service application (HSA) is a technological advancement that has brought various day-to-day services to our doorstep with just a few clicks. By using consumer-perceived values (utilitarian, hedonic, and social), trust transfer theory, and commitment-trust theory, the present study aims to investigate the factors influencing sharing intention and repurchase intention of consumers towards using HSAs on their mobile phones. This study involves collecting data from 357 respondents in India and analyzing the same using the SmartPLS 3 software. The results indicate that trust in HSA is influenced by utilitarian value and social value, but not by hedonic value. Trust in HSA results in repurchase intention, commitment, and sharing intention. Interestingly, trust in the user community affects sharing intention but not repurchase intention and commitment. The study integrates the consumer-perceived value, trust transfer theory, and commitment-trust theory to build an integrative framework that explains the consumers' sharing and repurchase intentions towards HSAs.

This study investigates and compares the continuance intention of full-time business school students and faculty in India and Italy who moved from traditional pedagogy style to the digital classroom due to the COVID-19 pandemic. The study integrates the Expectation Confirmation Model (ECM) and Task-Technology Fit (TTF) to examine their continuance intention. Survey data was collected from 396 business school students and 130 faculty members from India and Italy and analysed using SmartPLS 3 software. The study found that perceived usefulness, satisfaction, and task-technology fit significantly impact the continuance intentions of students and faculty. Multigroup analysis of students indicates that Italian students are more driven by task-technology fit as compared to Indian students in their continuance intention; in comparison, Indian students rely more on gaining experience and knowhow on technology. Finally, the multigroup study of faculty suggests that Italian educators have a comparatively stronger orientation towards the fit between digital classroom technology and a portfolio of related tasks. In comparison, their Indian counterparts rely more on the perceived usefulness of technology. The strength of relationship between task-technology fit and continuance intention is comparatively lower for faculty as compared to students in both countries. Finally, implications for theory and practice are discussed.

Mobile commerce (m-commerce) research has gained considerable traction in the last decade. Researchers have shown significant interest in assessing the users’ continuance intention for m-commerce by using the Expectation-Confirmation Model (ECM). The ECM has been applied across varying contexts and hence, comprehensive conclusions cannot be drawn. Hence, the present study conducted a meta-analysis of the extended ECM in the context of m-commerce by reviewing 61 publications from the last decade. The study found support for all the relationships in the extended ECM. It further uncovered the partial moderating impact of culture type (individualistic vs collectivistic) and user type (students vs non-students) on the relationships of extended ECM. Finally, the study also discussed the valuable implications for theory and practice.

In the last decade, a diverse array of information systems (IS) has emerged to help organisations achieve their performance goals. As a result, global spending on information technology (IT) has increased manifold. These developments have reopened the fundamental question of how IS success is shaped at the organisational level. Scholars and practitioners would also like to understand if, compared to the individual level, IS success patterns differ at the organisational level. The last meta-analysis of IS success was conducted nearly a decade ago and it could not examine IS success at the organisational level. There is also a need to gain a deeper understanding of key contingencies influencing success at the organisational level. Based on a comprehensive meta-analysis of research studies conducted in the last decade, we not only report how IS success patterns are shaped at the organisational level but also show how these patterns compare to success configurations at the individual level. Additionally, we conduct detailed multi-level meta-analyses of system complexity and user type as two key contingencies influencing success at both individual as well as organisational levels. Findings of our moderation analyses reveal distinct constructions of IS success across both levels.

The present study performs the bibliometric analysis of the social commerce (s-commerce) literature, highlights the major research themes, and suggests future research directions. The HistCite software has been used for bibliometric analysis on a sample of 660 s-commerce papers obtained from the ISI Web of Science database. This study analyses these papers to present the details about the influential journals, authors, and universities regarding s-commerce research. Following research themes have been identified based on the content analysis as well as citation mapping of the top-cited 53 s-commerce papers: 1) S-commerce – Purchase Intention, 2) S-commerce – Sharing Intention, 3) Social Media – Marketing and Consumer Engagement, 4) S-commerce – User Preferences and Concerns. Subsequently, a multi-dimensional conceptual model has been developed to highlight the coupling and flow between s-commerce growth drivers, practice indicators, and performance metrics. Finally, future research directions have been recommended.