AIS Electronic Library (AISeL)
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Gaze Behavior, Motivational Factors, and Organizational Knowledge Sharing
No full textRecently popularized remote work arrangements have introduced additional hurdles to already difficult to manage, yet critical, organizational knowledge sharing due to reduced face-to-face contacts. While communication technologies have the potential to increase users’ social presence through staff profile photos, little is known about how nonverbal cues signaled through depicted eye gaze affects knowledge sharing. We examine the effects of eye gaze direction depicted in the knowledge-requester’s profile photo on the request receiver’s willingness to share knowledge as well as the role of mediating factors identified in the psychology literature. Importantly, we extend theories of nonverbal communication and self-determination to the CMC context, bridging literature on eye gaze effects in face-to-face and virtual interactions. Results indicate that a front-gaze photo of the requester increases the willingness of the receiver to share knowledge; however, we do not find evidence that the gaze behavior of the receiver (captured via eye-tracking technology) influences knowledge sharing. Our findings provide guidance for the selection of collaboration-enhancing profile photos and inform system designers in their consideration of gaze-related requirements for the upload of photos to organizational systems. Future studies can explore the interplay between visual self-representation, psychological factors, and collaborative behaviors in CMC
From Gaming to Cybercrime: The Case of Stolen Cryptocurrency
No full textThis paper is a teaching case about a fictitious cybercrime inspired by an actual group of hackers, intended for use in information systems or business courses at the undergraduate or graduate level. In this case, students are first introduced to the online video gaming industry. When a gamer becomes the victim of a form of video game cheating called standbying, he visits an online forum where young gamers meet. He joins a group of gamers, turned hackers, who perpetrate fraud for financial gain. The teaching case provides the opportunity for students to explore identity theft and social engineering
Generative Artificial Intelligence in Information Systems Education: Benefits, Challenges and Recommendations
No full textGenerative artificial intelligence (GAI) is having profound impacts on information systems education. As experts in the socio-technical aspects of technology, information systems (IS) educators are at the forefront of understanding how to promote responsible, ethical, and productive educational uses of GAI. IS educators must adjust how we teach and interact with students in order to meet the challenges and opportunities GAI brings. At the 2024 Southern Association for Information Systems Conference, four experienced IS educators with over forty years of collective experience led an engaging discussion that considered GAI’s impacts on IS education from a variety of perspectives. The wide-ranging discussion touched on a variety of topics, including the benefits and risks of GAI, building GAI awareness and knowledge, and ethical issues, including academic integrity threats. This report synthesizes these discussions and provides practical recommendations for IS educators navigating the integration of GAI into their teaching practices
Use of Generative AI in Scholarly Research: Challenges and Opportunities
No full textThe focus of this panel report is to present evidence of a panel discussion that took place in October 2025 on the use of generative artificial intelligence (GAI) in academic research and publishing. The panel included publishers (Elsevier, Emerald, Gailot Press, MIT Press, Nature/Springer, Wiley) and editors in chief (representing the Information Systems Journal, Journal of the AIS, Journal of Data Science and ICES Journal of Marine Science). Key outcomes of the panel are the following: 1) publishers and editors have some disagreements regarding GAI use; 2) besides disagreements, all recognize that GAI is here to stay, therefore outstanding issues (e.g., training for PhD students and junior faculty and consequences for unallowed uses of GAI) need to be addressed jointly; 3) GAI is in constant flux, and this is a challenge for publisher and journal policies; and 4) it is unclear the extent to which GAI will affect future scholarship outcomes, especially with in mind potential for scholarly deskilling
Responsible AI in Information Systems Education: Impact of Experiential Learning in Practice
No full textResponsible Artificial Intelligence (RAI) is an emerging concern for public and private organizations. It is also gaining traction within the Information Systems (IS) discourse. RAI is predicated on AI technologies\u27 ethical, transparent, and accountable deployment, aligning with societal values, norms, and expectations. The conundrum facing IS education is the integration of the expanding RAI concerns and research into pedagogical strategies that introduce students to this nascent subject. One way to provide students with practical and comprehensive educational experiences is by engaging them in experiential learning, which emphasizes active and reflective engagement with real-world problems. However, research on IS education focusing on RAI is currently limited. We ask: How can experiential learning support students’ understanding of Responsible AI? We draw on an empirical, qualitative study of the design, implementation, and evaluation of a course on RAI applied to the context of public welfare services. The study was conducted over two semesters (2022 and 2023) with 49 students in total. We adopt an experiential learning paradigm and propose a course design that fosters multidisciplinary, problem-oriented learning about RAI. Our protocol promotes continuous learning by building an arena for the students to reflect on the learning process and growing awareness of RAI
Why Does Digital Inclusion Differ Among Countries? A Multidimensional Approach
No full textThis paper aims to determine how countries can currently improve their level of digital inclusion. The research considers that digital inclusion has several dimensions; therefore, digital inclusion is measured through a set of indicators and a composite variable. The empirical analysis uses a panel regression approach, covering a six-year period and including data from 136 countries. The findings show that three variables have a positive impact on the overall level of digital inclusion: a country\u27s wealth, its level of innovation, and one of the cultural dimensions, long-term orientation. When analyzing the components of digital inclusion, some variables have a positive influence on certain components and a negative influence on others, resulting in a neutral aggregate impact. The main practical implication is that digital inclusion should be analyzed according to its components, and each nation should focus on the factors that hinder digital inclusion
A Response Surface Analysis of the Online-Offline Congruence Effect of Healthcare Service Quality
No full textBackground: The integration of online and offline services has become critical in healthcare settings, where technical and interpersonal service qualities are essential for maintaining patient satisfaction and engagement. However, discrepancies between these offline and online dimensions can significantly impact physician performance. Understanding how these discrepancies influence healthcare outcomes is crucial for optimizing service strategies.
Method: Using a unique dataset of 3,878 physicians from a large Chinese online health platform, this study employed a prompted generative AI model to extract technical and interpersonal qualities from patients’ online and offline reviews. We then adopted polynomial modeling and response surface analysis (PMRSA) to test our hypotheses.
Results: Our findings reveal that as online-offline service quality (either technical or interpersonal service quality) increases in the same direction, physician performance increases first and then decreases, exhibiting an inverted U-shape relationship. Moreover, as the degree of incongruence between online and offline service quality (either technical or interpersonal service quality) increases, physician performance decreases.
Conclusion: Balancing online and offline technical and interpersonal services is critical for maximizing patient volume in healthcare settings. This study underscores the reliability of AI-based approaches for assessing service quality and extends the service quality literature by offering strategies to enhance physician performance. Our work provides managerial insights for healthcare providers by emphasizing the importance of maintaining consistent service quality across both online and offline platforms. The results emphasize the importance of integrated, balanced service delivery in the emerging era of medical digitalization in the Asia-Pacific region
Integrating Explainable AI in Education: Challenges and Advancements – A Systematic Review
No full textBackground: Explainable AI (XAI) aims to bring transparency to opaque algorithmic processes, fostering trust in AI-based applications used across diverse sectors. This systematic review examines various XAI challenges and advancements in education. Our objective is to address how XAI can contribute to the educational field.
Method: Following PRISMA guidelines, we systematically searched major academic databases for peer-reviewed studies on XAI in education. After removing duplicates and applying inclusion/exclusion criteria, 35 articles were retained. We then performed a thematic analysis to extract and categorise reported challenges and reported advancements.
Results: Our findings reveal 95 challenges and five advancements in the realm of XAI. These challenges are categorised using thematic analysis into seven groups: explainability, ethical, technical, human-computer interaction (HCI), trustworthiness, policy and guideline, and others. This analysis deepens our understanding of the implications of XAI in education. Notably, we found a lack of standardization for performing XAI in educational settings, leading to confusion, particularly regarding ethics, trustworthiness, technicalities, and explainability, which often overlap and vary. In terms of advancements in XAI for education, few articles introduced novel approaches to using XAI in educational settings. This limited number of studies presents both a challenge and an opportunity for the research community to fill this gap with further advancements
Conclusion: This review uncovered the challenges of integrating XAI methods into educational systems. Additionally, through this review, we identified recent advancements developed by researchers in integrating XAI methods into educational AI applications. These advancements utilise new techniques to enhance the trustworthiness of educational AI applications and deliver more accurate results
Appropriate Policies for Electronics in India
No full textThis paper outlines the history of the electronics industry in India from its beginning in the 1960s to its present state of development. The Government of India preferred the path of \u27planned development\u27 and \u27self-reliance\u27 in all spheres of activity. This underlying philosophy of the government had a major effect on the direction and rate of growth of the industry. The paper examines the tools which were available to the government to control and regulate the introduction of foreign technology into the country, and explains the reasons behind the government\u27s success, or lack of success, in achieving objectives over the years. The important role played by multinational corporations in the transfer of new technologies to developing countries is highlighted together with the beneficial and adverse effects of such relationships for the host country. Some of the lessons learned from the Indian experience in setting up a new high-technology industry have many implications for all developing countries, and provide valuable guidelines in policy-making for the future
When Knowledge Diversity and AI Climate Enable Innovation: A Mediated Necessary Condition Analysis
No full textBackground: Drawing on the principles of social exchange theory (SET) and the job demands-resources (JD-R) model, this study examines how individual knowledge diversity (IKD), artificial intelligence-driven climate (AIC), and perceived sustainability integration (PSI) affect employee innovative behavior (IB) through the mediating role of psychological contract breach (PCB).
Method: We collected multi-wave data from 319 full-time employees in private service sector organizations in Pakistan, using a 30-day time lag between each wave. Study 1 employed partial least squares structural equation modeling (PLS-SEM) to assess hypothesized relationships and mediation effects. Study 2 applied necessary condition analysis (NCA) to evaluate whether the proposed antecedents represent indispensable preconditions for employee IB.
Result: Findings show that IKD and AIC have significant positive effects on IB, which are partially mediated by PCB. PSI, however, exerts no direct influence on IB but indirectly contributes via PCB and exhibits a full mediation effect. NCA further confirms that both IKD and AIC are necessary conditions for IB, while PSI does not qualify as a necessary precondition.
Conclusion: This study contributes theoretically by positioning PCB as a core psychological mechanism through which organizational resources and values influence innovation outcomes. It also expands the IKD literature by extending its scope to the individual level and enriches methodological insight through the combined use of PLS-SEM and NCA. Practically, the findings underscore the importance of investing in AI infrastructure, structured support systems, IKD strategies, and trust-building mechanisms to enhance innovation climates