Pub Date : 2026-10-10DOI: 10.1007/s10796-026-10821-4
Subhadeep Mandal, Arpan Kumar Kar, Shivam Gupta
{"title":"Modelling Consumer Resistance Towards QR Code-Based Product Verification Systems: A Comparative Analysis of Traceability vs. Authentication in India and France","authors":"Subhadeep Mandal, Arpan Kumar Kar, Shivam Gupta","doi":"10.1007/s10796-026-10821-4","DOIUrl":"https://doi.org/10.1007/s10796-026-10821-4","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"8 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149150500","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}
Pub Date : 2026-10-10DOI: 10.1007/s10796-026-10818-z
Sara Dalir
As visitors increasingly rely on AI-enabled apps and recommender systems, AI is becoming an important mediator of tourism choice. Tourism decision-making is cognitively demanding, and visitors rarely evaluate all available destinations, attractions, travel periods, and services equally. Consistent with bounded rationality, they simplify complex choice environments through limited information, heuristics, and platform-mediated evaluation. This creates opportunities for AI systems not only to personalise experiences, but also to influence how attention and demand are distributed across attractions and seasons. This research develops and computationally examines a mechanism-based conceptualisation of how AI-enabled information systems mediate visitor choice and how micro-level decision processes accumulate into tourism-system outcomes. Drawing on digital choice architecture, information filtering, platform ecosystem perspectives, and bounded rationality, the research conceptualises AI as a decision-mediating infrastructure. Using an agent-based model of a tourism platform ecosystem, it compares three visitor-facing AI intervention conditions: predictive nudging, a recommender-system filtering, and fairness-oriented visibility enhancement. The model examines how differences in attention, salience, choice-set formation, evaluation, satisfaction, and subsequent behaviour are associated with system-level outcomes. The findings show that AI-mediated interventions can increase visitor activity and spending, but their effects differ across intervention conditions and do not automatically reduce seasonality. The research contributes to Information Systems and smart-tourism research by showing how AI-enabled decision environments can structure attention, consideration, and visibility, while highlighting the limits of digital interventions when destination outcomes are also shaped by wider structural conditions.
{"title":"Can AI Solve Eco-Economic Challenges? Simulating the Impact of AI Systems on Seasonality Using Agent-Based Modelling","authors":"Sara Dalir","doi":"10.1007/s10796-026-10818-z","DOIUrl":"https://doi.org/10.1007/s10796-026-10818-z","url":null,"abstract":"As visitors increasingly rely on AI-enabled apps and recommender systems, AI is becoming an important mediator of tourism choice. Tourism decision-making is cognitively demanding, and visitors rarely evaluate all available destinations, attractions, travel periods, and services equally. Consistent with bounded rationality, they simplify complex choice environments through limited information, heuristics, and platform-mediated evaluation. This creates opportunities for AI systems not only to personalise experiences, but also to influence how attention and demand are distributed across attractions and seasons. This research develops and computationally examines a mechanism-based conceptualisation of how AI-enabled information systems mediate visitor choice and how micro-level decision processes accumulate into tourism-system outcomes. Drawing on digital choice architecture, information filtering, platform ecosystem perspectives, and bounded rationality, the research conceptualises AI as a decision-mediating infrastructure. Using an agent-based model of a tourism platform ecosystem, it compares three visitor-facing AI intervention conditions: predictive nudging, a recommender-system filtering, and fairness-oriented visibility enhancement. The model examines how differences in attention, salience, choice-set formation, evaluation, satisfaction, and subsequent behaviour are associated with system-level outcomes. The findings show that AI-mediated interventions can increase visitor activity and spending, but their effects differ across intervention conditions and do not automatically reduce seasonality. The research contributes to Information Systems and smart-tourism research by showing how AI-enabled decision environments can structure attention, consideration, and visibility, while highlighting the limits of digital interventions when destination outcomes are also shaped by wider structural conditions.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"59 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149150501","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":"Generative AI as Support Infrastructure: A Design Theory of Inclusive Intelligence","authors":"Kaveh Abhari, Hossein Shirazi, Morteza Safaeipour, Reut Segal","doi":"10.1007/s10796-026-10824-1","DOIUrl":"https://doi.org/10.1007/s10796-026-10824-1","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"408 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149130598","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}
Pub Date : 2026-10-07DOI: 10.1007/s10796-026-10810-7
Shweta Kumari Choudhary,Prashant Kumar,Arpan Kumar Kar
{"title":"A Configurational Analysis of Digital Interaction and AI Governance Capabilities for Firm Performance","authors":"Shweta Kumari Choudhary,Prashant Kumar,Arpan Kumar Kar","doi":"10.1007/s10796-026-10810-7","DOIUrl":"https://doi.org/10.1007/s10796-026-10810-7","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"4 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149090645","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}
Pub Date : 2026-10-03DOI: 10.1007/s10796-026-10825-0
Onook Oh,Dawn Greayer Gregg,Navid Aghakhani
{"title":"[State-of-the-Practice-Survey] Environmental Sustainability in Information Systems Research: Beyond Incrementalism Toward a Transformative Path Forward","authors":"Onook Oh,Dawn Greayer Gregg,Navid Aghakhani","doi":"10.1007/s10796-026-10825-0","DOIUrl":"https://doi.org/10.1007/s10796-026-10825-0","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"27 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149090646","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}
Pub Date : 2026-09-17DOI: 10.1007/s10796-026-10811-6
Jaanus Riibe,Jamal Mohamed Hassan,Rahul Sharma,Silvia Lips,Dirk Draheim
{"title":"Designing E-Services for Improving Crisis Communication in Local Municipalities: Cooperation with Apartment Associations","authors":"Jaanus Riibe,Jamal Mohamed Hassan,Rahul Sharma,Silvia Lips,Dirk Draheim","doi":"10.1007/s10796-026-10811-6","DOIUrl":"https://doi.org/10.1007/s10796-026-10811-6","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"10 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149021345","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":"Toward Effective eHealth Communication for Efficient Utilization of Healthcare Resources: A Social Interaction and Information Needs Perspective","authors":"Yuchen Wang,Gayle Prybutok,Adeela Gulzari,Xianghui Peng,Victor Prybutok,Yajun Lu,Feng Cheng","doi":"10.1007/s10796-026-10819-y","DOIUrl":"https://doi.org/10.1007/s10796-026-10819-y","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"397 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149021346","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}
Pub Date : 2026-09-17DOI: 10.1007/s10796-026-10823-2
Post Raj Pokharel
Abstract Leveraging vulnerable and minority employees poses persistent challenges, underscoring the importance of artificial intelligence (AI) in the workplace, which is reshaping how employees are recruited and empowered. AI appropriation processes and the pursuit of efficiency raise profound concerns about equity and employee well-being. To provide a foundation for future research, this study systematically reviews the emerging literature on AI and its impact on vulnerable and minority employees, employing a combined bibliometric analysis, principal component analysis (PCA), and thematic synthesis. This analysis of the extant body of work reveals five overarching themes: (1) AI adoption and workforce transformation, (2) bias, equity, and fairness in AI systems, (3) employee well-being, inclusion, and empowerment, (4) ethical, legal, and governance considerations, and (5) methodological approaches and tools. Across these streams, this study highlights how theoretical perspectives, ranging from congruity theory and social role theory to feminist design thinking, the diversity, equity, and inclusion (DEI) framework, and Procedural Justice, have been applied to interpret AI’s organisational consequences. At the same time, empirical contributions remain fragmented and uneven. This review contributes to the literature by systematically mapping how AI intersects with the experiences of marginalised employees, identifying both the risks of algorithmic exclusion and the opportunities for designing more equitable work practices. Specifically, this review contributes to the information systems literature by synthesising how AI-enabled decision systems influence equity, inclusion, and empowerment outcomes for vulnerable and minority employees. By integrating insights from organisational studies, AI ethics, and digital workplace research, the study provides a structured framework explaining how algorithmic decision systems interact with organisational governance and workforce practices.
{"title":"Artificial Intelligence and the Empowerment of Vulnerable and Minority Employees: A Systematic Review","authors":"Post Raj Pokharel","doi":"10.1007/s10796-026-10823-2","DOIUrl":"https://doi.org/10.1007/s10796-026-10823-2","url":null,"abstract":"Abstract Leveraging vulnerable and minority employees poses persistent challenges, underscoring the importance of artificial intelligence (AI) in the workplace, which is reshaping how employees are recruited and empowered. AI appropriation processes and the pursuit of efficiency raise profound concerns about equity and employee well-being. To provide a foundation for future research, this study systematically reviews the emerging literature on AI and its impact on vulnerable and minority employees, employing a combined bibliometric analysis, principal component analysis (PCA), and thematic synthesis. This analysis of the extant body of work reveals five overarching themes: (1) AI adoption and workforce transformation, (2) bias, equity, and fairness in AI systems, (3) employee well-being, inclusion, and empowerment, (4) ethical, legal, and governance considerations, and (5) methodological approaches and tools. Across these streams, this study highlights how theoretical perspectives, ranging from congruity theory and social role theory to feminist design thinking, the diversity, equity, and inclusion (DEI) framework, and Procedural Justice, have been applied to interpret AI’s organisational consequences. At the same time, empirical contributions remain fragmented and uneven. This review contributes to the literature by systematically mapping how AI intersects with the experiences of marginalised employees, identifying both the risks of algorithmic exclusion and the opportunities for designing more equitable work practices. Specifically, this review contributes to the information systems literature by synthesising how AI-enabled decision systems influence equity, inclusion, and empowerment outcomes for vulnerable and minority employees. By integrating insights from organisational studies, AI ethics, and digital workplace research, the study provides a structured framework explaining how algorithmic decision systems interact with organisational governance and workforce practices.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"27 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149021342","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}
Pub Date : 2026-09-12DOI: 10.1007/s10796-026-10812-5
Jasleen Kaur,Amarjit Gill
{"title":"From Sarcasm to Consumer Insight: Leveraging mT5-LSTM for Analyzing Punjabi Social Media Behavior","authors":"Jasleen Kaur,Amarjit Gill","doi":"10.1007/s10796-026-10812-5","DOIUrl":"https://doi.org/10.1007/s10796-026-10812-5","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"6 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149020991","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}
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