{"title":"A Review of How Different Views on Ethics Shape Perceptions of Morality and Responsibility within AI Transformation","authors":"Teresa Hammerschmidt, Alina Hafner, Katharina Stolz, Nina Passlack, Oliver Posegga, Karl-Heinz Gerholz","doi":"10.1007/s10796-025-10596-0","DOIUrl":"https://doi.org/10.1007/s10796-025-10596-0","url":null,"abstract":"<p>This paper examines the evolving dynamics of human-AI interaction, emphasizing the ethical challenges and responsibility gaps that emerge as AI technologies become more autonomous and integrated into society and business. We analyze, utilizing a systematic literature review, how various ethical views influence our understanding of morality and responsibility in human-AI collaborations. Deontological ethics emerge as a dominant theme, with much of the literature centered on ethical principles shaped by powerful nations. The study highlights the need to integrate diverse ethical perspectives into AI research to address contradictions in ethical frameworks across various cultural contexts. While respecting cultural differences, achieving a common ground among these frameworks requires increased dialogue among AI researchers and practitioners. Our findings further underscore the importance of future research in developing a more cohesive understanding of how AI transformation challenges previous assumptions about AI’s role in moral agency and responsibility.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"81 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143745697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Technology Advancements Shaping the Financial Inclusion Landscape: Present Interventions, Emergence of Artificial Intelligence and Future Directions","authors":"Oluwafemi Akanfe, Paras Bhatt, Diane A. Lawong","doi":"10.1007/s10796-025-10597-z","DOIUrl":"https://doi.org/10.1007/s10796-025-10597-z","url":null,"abstract":"<p>The global commitment to advancing financial inclusion (FI) relies on technology to connect underserved communities with the formal financial sector. Existing traditional technologies have made some progress, but they often fail to adapt to the unique needs of these populations. Although artificial intelligence (AI) offers new possibilities to meet these limitations, its rapid advancement has outpaced the development of integrative studies, leaving its potential impact on financial access by the underserved largely unexplored. Existing research provides fragmented insights into how different technological interventions impact diverse groups. We develop a segment-outcome-focused analysis to structure a scoping review of 95 information systems studies to assess current technological advances for FI and explore how AI can address their limitations, including limited digital literacy, uneven and high cost of infrastructure, and service personalization. We then engender future research directions and conclude with theoretical contributions and practical implications, emphasizing the potential of AI solutions to advance FI.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"2 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143733997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thuy Duong Oesterreich, Eduard Anton, Julian Schuir, Frank Teuteberg, Adil S. Al-Busaidi, Yogesh K. Dwivedi
{"title":"Learning from the Past to Advance the Future: Synthesizing the Meta-Analysis Landscape in Information Systems Research","authors":"Thuy Duong Oesterreich, Eduard Anton, Julian Schuir, Frank Teuteberg, Adil S. Al-Busaidi, Yogesh K. Dwivedi","doi":"10.1007/s10796-025-10598-y","DOIUrl":"https://doi.org/10.1007/s10796-025-10598-y","url":null,"abstract":"<p>The main objective of this study is to explore the emerging patterns in the Information Systems (IS) meta-analysis landscape by reviewing a sample of 162 studies published in IS journals and conferences covering 37 years of meta-analysis research. The findings underline the diversity of topics, bodies of knowledge, as well as theories and constructs on various levels of analysis that were examined in recent decades. The key findings and recommendations help IS scholars to conceptualize their meta-analysis study design and redirect their attention to under-researched areas and methodological issues that need improvement, thus to learn from the past for advancing the future.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"41 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lin Wu, Zhewei Zhang, Jimmy Huang, I-Hsuan Su, Shuang Tian
{"title":"Digital Technologies and Supply Chain Resilience: A Resource-Action-Performance Perspective","authors":"Lin Wu, Zhewei Zhang, Jimmy Huang, I-Hsuan Su, Shuang Tian","doi":"10.1007/s10796-025-10595-1","DOIUrl":"https://doi.org/10.1007/s10796-025-10595-1","url":null,"abstract":"<p>This study empirically examines how various digital technologies individually and collectively contribute to supply chain resilience (SCRes) in coping with major disruptions. While there is no shortage in the IS literature to study the use of digital technologies, current trend is prevailed with either the investigation of single technology or treating all deployed technologies as an undifferentiated whole. Therefore, theoretically, we aim to address the lack of conceptual clarity and insights in the use of multiple digital technologies in tandem. To operationalize this research, we deploy and build on the Resource-Action-Performance (RAP) perspective, and categorize widely used digital technologies into two, namely, resource-oriented and action-oriented technologies. We then empirically investigate how these two categories of digital technologies are orchestrated to help maintain and improve SCRes for manufacturing firms during major disruptions, in this case, Covid-19. The results show a positive effect of resource-oriented technologies on SCRes, which is mediated by action-oriented technologies. Our contributions to the IS literature are threefold. First, our study provides important theoretical insights by analytically separating and categorizing different digital technologies as a means to enrich our understanding in the use of multiple technologies in tandem. Second, we offer empirical evidence to elaborate different functions and values that different digital technologies individually and collectively contributed to firm’s capability in SCRes and its ability to cope with major disruptions. Third, our study provides practical insights into utilizing digital tools to maintain business continuity in uncertain environments.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"99 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revealing the Role of Intra-household Dynamics in Computer Adoption: An Inductive Theorization Approach Using Machine Learning in the Indian Context","authors":"Sharada Sringeswara, Jang Bahadur Singh, Sujeet Kumar Sharma, Sirish Kumar Gouda","doi":"10.1007/s10796-025-10594-2","DOIUrl":"https://doi.org/10.1007/s10796-025-10594-2","url":null,"abstract":"<p>Research on technology adoption has focused on individual, organizational, and institutional factors, yet adoption within households in developing countries like India remains underexplored. To address this gap, we utilized a large-scale national household survey and a machine learning-based inductive approach to uncover the complex relationship between intra-household dynamics and computer adoption. Our study identified household education externalities, the education level of women in the family, and the presence of teenage children as key factors influencing computer adoption. Our decision tree analysis revealed the intricate combinations of predictors that impact adoption, offering nuanced explanations of this complex phenomenon. Our findings can inform the development of customer-oriented marketing strategies and customized intervention programs that address cost, access, and education inequalities hindering household computer adoption, benefiting computer makers and government policymakers.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"61 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143641117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The More, the Better? Effects of Same-Side Network Externalities on Customer Loyalty in Ride-Hailing Aggregation Platforms","authors":"Yu Cao, Xiang Li, Furou Kou, Guangyu Wan","doi":"10.1007/s10796-025-10593-3","DOIUrl":"https://doi.org/10.1007/s10796-025-10593-3","url":null,"abstract":"<p>This study explores the dynamics of customer loyalty in ride-hailing aggregation platforms, a burgeoning segment of the sharing economy that consolidates multiple service providers into a unified interface. Leveraging perceived value theory, we analyze the “double-edged sword” effect of same-side network externalities—how perceived customer network size impacts customer loyalty in a non-linear, inverted U-shaped pattern. Data from 543 aggregation platform users reveal that moderate levels of perceived customer network size optimize loyalty, balancing the positive effects of increased utility and trust with the negative impacts of network congestion. Moreover, perceived value mediates this curvilinear relationship, while perceived driver network size—a measure of cross-side network externalities—intensifies its curvature, highlighting the critical role of interdependencies between platform participants. Our arguments and results contribute to the literature on customer loyalty on platforms, and can inform the strategic decisions of platforms that rely on same side network externalities for value creation.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"26 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143599857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does Leadership Approach Matter? Examining Behavioral Influences of Leaders on Employees’ Information Security Compliance","authors":"Gurvirender P.S. Tejay, Marcus Winkfield","doi":"10.1007/s10796-025-10592-4","DOIUrl":"https://doi.org/10.1007/s10796-025-10592-4","url":null,"abstract":"<p>Organizations continue to struggle with motivating employee compliance with information systems (IS) security protocols despite implementing technical and managerial strategies. This study examines the critical role of leadership behaviors in fostering security compliance among employees. We assert that effective leadership can significantly influence adherence to IS security controls. Grounded in expectancy theory, our research model investigates how task-oriented and relationship-oriented leadership behaviors impact perceived security efforts and performance, ultimately shaping expected security outcomes. Data were collected from 407 participants through a cross-sectional survey, and structural equation modeling was employed for analysis. The findings reveal that task-oriented leadership is particularly effective in motivating IS security compliance. Furthermore, individual-level analyses highlight task-oriented leadership as the sole behavior demonstrating a direct relationship with the expected security outcomes of compliance. These insights enrich our understanding of security compliance behaviors as primarily driven by extrinsic motivation. We encourage future research to explore the role of intrinsic motivators and the potential indirect effects of relationship-oriented leadership behaviors on IS security policy compliance. By illuminating the behavioral dynamics of leadership, this study paves the way for organizations to enhance their IS security programs and cultivate a culture of compliance.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"39 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143575378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding Human-AI Augmentation in the Workplace: A Review and a Future Research Agenda","authors":"Trinh Nguyen, Amany Elbanna","doi":"10.1007/s10796-025-10591-5","DOIUrl":"https://doi.org/10.1007/s10796-025-10591-5","url":null,"abstract":"<p>The relationship between humans and artificial intelligence has sparked considerable debate and polarized opinions. A significant area of focus in this discourse that has garnered research attention is the potential for humans and AI to augment one another in order to enhance outcomes. Despite the increasing interest in this subject, the existing research is currently fragmented and dispersed across various management disciplines, making it challenging for researchers and practitioners to build upon and benefit from a cohesive body of knowledge. This study offers an organized literature review to synthesize the current literature and research findings, thereby establishing a foundation for future inquiries. It identifies three emerging themes related to the nature, impacts, and challenges of Human-AI augmentation, further delineating them into several associated topics. The study presents the research findings related to each theme and topic before proposing future research agenda and questions.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"67 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fake News Detection Model with Hybrid Features—News Text, Image, and Social Context","authors":"Szu-Yin Lin, Ya-Han Hu, Pei-Ju Lee, Yi-Hua Zeng, Chi-Min Chang, Hsiao-Chuan Chang","doi":"10.1007/s10796-025-10589-z","DOIUrl":"https://doi.org/10.1007/s10796-025-10589-z","url":null,"abstract":"<p>With the evolving realm of news propagation and the surge in social media usage, detecting and combatting fake news has become an increasingly important issue. Currently, fake news detection employs three main feature categories: news text, social context, and news images. However, most studies emphasize just one, while only a limited number incorporate image features. This study presents an innovative hybrid fake news detection model amalgamating text mining technology to extract news text features, user information on Twitter to extract social context features, and VGG19 model to extract news image features to increase the model's accuracy. We harness four diverse machine learning algorithms (Logistic Regression, Random Forest, Support Vector Machine, and Extreme Gradient Boosting) to construct models and evaluate their performance via Precision, Recall, F1-Score, and Accuracy metrics. Results indicate the fusion of news text, social context, and image features outperforms their individual application, yielding a noteworthy 92.5% overall accuracy. Significantly, social context attributes, encompassing users, publishers, and distribution networks, contribute crucial insights into detecting early-stage fake news dissemination. Consequently, our study bolsters fact-checking entities by furnishing them with news-content insights for verification and equips social media platforms with a potent fake news detection model—comprising news content, imagery, and user-centric social context data—to discern erroneous information.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"67 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143538811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Comparison of ‘Organizing Forces’ on Reddit and YouTube Networks: Insights From the France Riots of 2023","authors":"Pramukh Nanjundaswamy Vasist, Satish Krishnan, Nasreen Azad, Nandakumar Mekoth","doi":"10.1007/s10796-025-10587-1","DOIUrl":"https://doi.org/10.1007/s10796-025-10587-1","url":null,"abstract":"<p>Social networks are highly effective in mobilizing individuals toward collective action. However, such endeavors to rally large groups risk escalating into violent actions, eroding social unity and provoking societal unrest. The information consumption patterns vary considerably across different platforms through which it is disseminated, with platform-specific characteristics significantly impacting how users interact and disseminate information. Nevertheless, this distinctive characteristic has received minimal attention in the literature. Considering these differences, we seek to understand the mechanisms underlying information dissemination on social networks in the context of mob violence and protests. We conducted a comparative analysis of communication on the Reddit and YouTube networks about the riots in France in 2023. By utilizing social network analysis, we clarify the differences in information dissemination across these networks and contribute to information systems literature on social media actions with theoretical and methodological insights into the dissemination of information about riots.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"12 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}