International Journal of Information Management最新文献

{"title":"When humble AI meets narcissistic customers: A terror management perspective","authors":"Jing Liu ,&nbsp;Fu-Chieh Hsu ,&nbsp;Jing Yu ,&nbsp;Jie Cao ,&nbsp;Huiwen Mai","doi":"10.1016/j.ijinfomgt.2025.102904","DOIUrl":"10.1016/j.ijinfomgt.2025.102904","url":null,"abstract":"<div><div>The advancement of artificial intelligence (AI) has introduced unprecedented existential threats and social issues. This research integrates the understudied humility traits into AI assistants to mitigate the rising AI threat, exploring the interactions between AI humility, perceived AI threat, and customer narcissism on service satisfaction. Findings from the three-way interaction in a between-subjects quasi-experimental design reveal that under low AI threat, humble AI assistants enhance parasocial interaction and satisfaction, particularly for customers with low to moderate narcissism. Conversely, under high AI threat, these traits may be ineffective or counterproductive for such customers, while highly narcissistic individuals may still benefit. This research mainly contributes to the literature by extending humility to non-human entities to introduce a new coping with existential anxiety themed in terror management theory.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102904"},"PeriodicalIF":20.1,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143726210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Situational awareness about data breaches and ransomware attacks: A multi-dimensional cyber threat impact framework and content analyses of practitioner-public discourses","authors":"Paras Bhatt ,&nbsp;Rohit Valecha ,&nbsp;H. Raghav Rao","doi":"10.1016/j.ijinfomgt.2025.102902","DOIUrl":"10.1016/j.ijinfomgt.2025.102902","url":null,"abstract":"<div><div>Cyber threat incidents are increasingly on the rise resulting in concern among the public. Recently, data breaches and ransomware attacks have emerged as two types of critical cyber threats in terms of impact to both organizations and individuals. As such, organizations and the public have started to discuss these threats in various forms. While the former discusses the threats in practitioner reports that are available for public consumption, social media platforms are the preferred avenue for the public. Though literature has started to examine the issues regarding such cyber threat incidents, research on cyber threats, its resultant discourse on social media and its potential for situational awareness and for extracting meaningful or actionable cyber intelligence is scarce. This paper makes a twofold contribution: first, it extracts multiple dimensions of cyber threats from an examination of theoretical, regulatory and domain specific literature. We term these dimensions, leak, laws, cause, and cost and use them for creating a cyber-threat impact framework. Second, by undertaking text mining for content analysis of large datasets from Verizon’s Data Breach Investigation Reports (DBIR) as well as social media discourses from Twitter, this paper investigates the practitioner-public discourses about the two types of cyber threat incidents to uncover relative significance of different dimensions for situational awareness. The paper finds that topical similarities and differences exist between data breach and ransomware attack incidents on different dimensions in the cyber-threat impact framework. The dual analysis of practitioner and public discourses allows situational awareness that policy makers can use for developing appropriate cyber intelligence and cyber threat defense policies.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102902"},"PeriodicalIF":20.1,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What’s your archetype? Understanding how IT Identity influences information systems adoption","authors":"Sam Senanayake ,&nbsp;Petros Chamakiotis","doi":"10.1016/j.ijinfomgt.2025.102889","DOIUrl":"10.1016/j.ijinfomgt.2025.102889","url":null,"abstract":"<div><div>Motivated by a recognized need to comprehend how Information Systems (IS) switching costs interact with Information Technology Identity (ITID) to influence IS infusion behavior, this study explores issues that may affect the success of IS implementations when information workers are required to switch from an incumbent IS to a new IS and incur IS switching costs. ITID describes the extent to which an Information Technology (IT) is viewed as integral to a person’s self-concept and provides an interesting theoretical lens with which to study this interplay between IS usage and identity. Drawing on interviews with 28 IS community practitioners within the software industry, we unpack the complex relationships between ITID, Status Quo Bias (SQB), and Lingering Identity (LI) that explain how workers deal with IS adoption in the context of change. We present a model for establishing a baseline of existing user attitudes towards IS usage based on incumbent IS usage. Individual user baselines can be subsequently mapped to eight archetypes which can guide managers seeking to improve IS adoption and infusion. We then discuss our theoretical and managerial contributions and close the paper by outlining the study’s limitations and a set of directions for future research.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102889"},"PeriodicalIF":20.1,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143654585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does platform leadership promote employee commitment to digital transformation? — A moderated serial mediation model from the stress perspective","authors":"Qiwei Zhou,&nbsp;Xueting Shi","doi":"10.1016/j.ijinfomgt.2025.102900","DOIUrl":"10.1016/j.ijinfomgt.2025.102900","url":null,"abstract":"<div><div>Employee support is crucial for the successful implementation of enterprise digital transformation. Despite the complexity of digital transformation—which requires employees to move beyond established working habits and thinking patterns amid increasing digital job demands—strategies to foster employee commitment to such significant organizational change remain unclear. This study explores how platform leadership—which mobilizes resources to achieve “mutual success and common growth” among leaders, followers, and the organization—influences employee commitment to digital transformation. Drawing on the transactional theory of stress and symbolic interactionism theory, this study proposes that platform leadership helps employees perceive digital transformation-related stress as a challenge, motivating them to engage in learning activities to meet new job demands. Consequently, employees develop greater commitment to digital transformation. Furthermore, employees’ workplace status strengthens the relationship between learning and commitment to digital transformation. Study 1, based on a multi-wave survey of 222 employees, supports these hypotheses. Study 2, using fuzzy-set qualitative comparative analysis of 225 employee responses, highlights the complex interplay among key variables. The findings suggest that organizations can drive digital transformation through platform leadership and employee engagement in learning initiatives.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102900"},"PeriodicalIF":20.1,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing ontology-based search systems for research articles","authors":"Sebastian Huettemann ,&nbsp;Roland M. Mueller ,&nbsp;Barbara Dinter","doi":"10.1016/j.ijinfomgt.2025.102901","DOIUrl":"10.1016/j.ijinfomgt.2025.102901","url":null,"abstract":"<div><div>The process of conducting scientific literature reviews is becoming increasingly complex and time-consuming due to the rapid expansion of available research. Popular academic search engines offer limited filtering capabilities and suffer from low precision. Machine learning-enhanced approaches tend to target rather specific areas, and novel approaches based on generative artificial intelligence suffer from hallucinations. Drawing on information foraging theory, this article presents a design science research project aimed at generating design knowledge for developing domain-specific search systems for research articles. Our contributions include: (1) integrating domain ontologies with large language models to design ontology-based search systems, (2) generating descriptive design knowledge by exploring the problem space, (3) generating prescriptive design knowledge for developing domain-specific search systems, and (4) presenting an ontology-based search engine prototype. Our results indicate that the proposed solution supports researchers in conducting literature reviews by increasing information gain while reducing interaction costs.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102901"},"PeriodicalIF":20.1,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What makes you attached to social companion AI? A two-stage exploratory mixed-method study","authors":"Dongmei Hu ,&nbsp;Yuting Lan ,&nbsp;Haolan Yan ,&nbsp;Charles Weizheng Chen","doi":"10.1016/j.ijinfomgt.2025.102890","DOIUrl":"10.1016/j.ijinfomgt.2025.102890","url":null,"abstract":"<div><div>Social companion AI, as a generative AI application with empathy and emotional support functions, is gradually becoming a new object of human emotional attachment. This study explores the formation framework of human-SCAI attachment through a two-stage mixed-method approach. In Study 1, using reviews of two films themed around human-AI intimate relationships (<em>Her</em> and <em>M3GAN</em>) as analysis data, semantic network analysis and topic modeling were conducted to identify seven potential concepts and propose the “Interpersonal &amp; Human-AI Relationship Attitudes → Value Evaluation → Attachment Manifestation” framework for AI attachment formation. The study found that perception of AI agent personification and interpersonal dysfunction are driving factors for intimate human-SCAI interactions. Based on social exchange theory, it was discovered that the cost-benefit exchange mechanism in the interaction process influences the formation and varied manifestations of AI attachment. Building on the conclusions of Study 1, a research model was proposed and Study 2 was conducted, involving a survey of long-term users of AI companions and structural model testing using SmartPLS. This study provides insights into understanding human-AI intimate relationships and the mechanisms of AI attachment formation in the GenAI era, while also offering insights and recommendations regarding the potential risks of human-SCAI intimate relationships.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102890"},"PeriodicalIF":20.1,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metaverse for digital health solutions","authors":"Nida Shamim ,&nbsp;Mingxue Wei ,&nbsp;Suraksha Gupta ,&nbsp;Deep Sagar Verma ,&nbsp;Shahpar Abdollahi ,&nbsp;Matthew Minsuk Shin","doi":"10.1016/j.ijinfomgt.2025.102869","DOIUrl":"10.1016/j.ijinfomgt.2025.102869","url":null,"abstract":"<div><div>The intersection of the Metaverse and digital health represents a growing frontier in healthcare technology, promising innovative approaches to enhance health and well-being through immersive virtual environments. However, there is limited knowledge on how this technology can be used not only to enhance user engagement but also support the sustainable use of Metaverse for health and well-being platforms in Metaverse. This study investigates the transformative potential of the Metaverse in digital health for sustainable use, focusing on its capacity to revolutionise healthcare delivery and improve health and well-being outcomes. The research examines the impact of motivation to use Metaverse, Metaverse user experience and trust in the platforms on user engagement which further translates to the sustainable use of Metaverse. The study also investigates the mediation of self-concept between user engagement and the sustainable use of Metaverse. Moreover, immersion level is also tested for moderation and mediation in this study between motivation to use Metaverse, Metaverse user experience, trust in the platforms and user engagement. The study adopted a mixed methods approach including 15 interviews and 152 online surveys. The findings of the study reveal that the motivation to use the Metaverse and Metaverse user experience do not impact user engagement, however, trust in the platforms in Metaverse significantly impacts the user engagement. Furthermore, our analysis also shows that user engagement leads to the sustainable use of Metaverse for health and well-being platforms. Additionally, self-concept mediates the relationship between user engagement and the sustainable use of Metaverse, however, immersion level acts as a mediator and not a moderator between motivation to use Metaverse, Metaverse user experience, trust in the platforms and user engagement. The findings contribute valuable insights into the development of innovative health solutions within the Metaverse, aiming to advance digital health practices and improve health and well-being outcomes. Moreover, the study underscores the critical role of user trust and engagement in the success of digital health platforms, guiding future research and development efforts in this rapidly evolving field. Limitations of the study are acknowledged, and recommendations for future research directions are proposed to further enrich our understanding of sustainable healthcare use in the Metaverse.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102869"},"PeriodicalIF":20.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Insights from the Job Demands–Resources Model: AI's dual impact on employees’ work and life well-being","authors":"Ya-Ting Chuang ,&nbsp;Hua-Ling Chiang ,&nbsp;An-Pan Lin","doi":"10.1016/j.ijinfomgt.2025.102887","DOIUrl":"10.1016/j.ijinfomgt.2025.102887","url":null,"abstract":"<div><div>Artificial intelligence (AI) has rapidly integrated into organizational workflows, sparking two debates: proponents argue that it increases productivity and decreases workloads, whereas opponents warn that it induces technostress (e.g., job replacement) and decreases employees' well-being. However, AI adoption by employees remains understudied, requiring both theoretical and empirical investigation to assess its positive and negative effects. This study employs the job demands–resources (JD–R) model as a guiding framework to examine the impact of AI demands (i.e., technostress) and resources (i.e., efficacy and generative AI) on employees' work and life domains (i.e., productivity, job satisfaction, and work–family conflict), with engagement and exhaustion as mediating factors. Data gathering through a three-wave survey involved 600 gender-balanced participants working with AI across diverse industries. Bayesian SEM results indicate that both AI efficacy and generative AI positively impact productivity, with AI efficacy also enhancing engagement and job satisfaction. In contrast, AI technostress increases exhaustion, exacerbates work–family conflict, and lowers job satisfaction, even though it may still contribute to productivity. These findings highlight the dual impact of AI on employees: AI technostress impairs well-being, while AI efficacy enhances it. Notably, generative AI mitigates the negative effects of technostress, a benefit not observed for AI efficacy as measured in this study. Overall, this study provides an empirical basis for understanding the resources and demands associated with AI adoption and its impact on employees' psychological processes, influencing both their work and life domains and leading to diverse outcomes.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102887"},"PeriodicalIF":20.1,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From assistance to reliance: Development and validation of the large language model dependence scale","authors":"Zewei Li ,&nbsp;Zheng Zhang ,&nbsp;Mingwei Wang ,&nbsp;Qi Wu","doi":"10.1016/j.ijinfomgt.2025.102888","DOIUrl":"10.1016/j.ijinfomgt.2025.102888","url":null,"abstract":"<div><div>With the rapid advancement of large language models (LLMs), the phenomenon of LLMs dependence has emerged and garnered significant attention. However, previous scales have been insufficient to measure the extent of individuals' dependence on LLMs. The current study aims to utilize the human-computer trust model and addiction theory to develop and validate the LLMs dependence scale (LDS) and to report its psychometric properties. An exploratory structural investigation of LLMs dependence was conducted with a sample of 421 LLMs users (Sample 1), which included items analysis, exploratory factor analysis, and network analysis. Additionally, a formal test was performed with a separate sample of 1030 LLMs users (Sample 2), with the data undergoing structural validation through confirmatory factor analysis, validity testing, and reliability testing. To mitigate the potential negative impacts of LLMs dependence, we employed the NodeIdentifyR algorithm for computational simulation interventions to identify critical intervention nodes within the LLMs dependence network. The results indicated that the LDS (18 items) exhibited a bifactor structure of functional dependence and existential dependence. The confirmatory factor model demonstrated a good fit and the LDS also showed good criterion-related validity. Subsequent simulated results of alleviating interventions suggested that users' existential dependence was primarily driven by their dependence on LLMs to handle tedious and boring tasks, while functional dependence was more influenced by users' belief in the omnipotence of LLMs. In summary, the factor structure of the LDS is clear, and its reliability and validity indices meet psychometric standards, making it an effective tool for measuring LLMs dependence.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102888"},"PeriodicalIF":20.1,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resistance to shared consumption: Exploring the interplay of access-temporality, economic-value, and anticipated regret in case of carsharing","authors":"Sk Abu Khalek ,&nbsp;Anirban Chakraborty","doi":"10.1016/j.ijinfomgt.2025.102886","DOIUrl":"10.1016/j.ijinfomgt.2025.102886","url":null,"abstract":"<div><div>Although the concept of shared consumption has garnered considerable scholarly attention, there remains a notable paucity of research on resistance to carsharing. In particular, the crucial role of access temporality, long-term economic evaluation, and anticipated regret has not been studied previously. While the economic benefit is considered a pivotal determinant of carsharing adoption, the potential for negative evaluation when consumers engage in long-term assessments remains underexplored. Further, its contribution to anticipated regret and its subsequent effect on carsharing resistance has not been studied. Addressing the gap, this study draws upon mental accounting theory and regret theory to examine the role of access temporality and long-term cues in the economic evaluation of carsharing and its relationship with anticipated regret contributing to consumers’ resistance towards carsharing. To this end, Study 1 and Study 2 employed two 2 × 2 experimental designs to demonstrate that long-term cues significantly alter consumers’ perceived economic value of carsharing. They illustrate that access temporality and usage frequency affect consumers’ economic evaluations of carsharing and their intention to engage. Further, Study 3 analysed 417 survey data responses using PLS-SEM to reveal that lower economic value perception, anticipated regret, and status quo bias contribute to consumers’ resistance to using sharing. The results confirm the importance of access temporality and frequency of use influencing consumers’ perceived economic value of carsharing.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"82 ","pages":"Article 102886"},"PeriodicalIF":20.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}