International Journal of Information Management最新文献

{"title":"Beyond the hype: Organisational adoption of Generative AI through the lens of the TOE framework–A mixed methods perspective","authors":"Laurie Hughes ,&nbsp;Fern Davies ,&nbsp;Keyao Li ,&nbsp;Senali Madugoda Gunaratnege ,&nbsp;Tegwen Malik ,&nbsp;Yogesh K Dwivedi","doi":"10.1016/j.ijinfomgt.2025.102982","DOIUrl":"10.1016/j.ijinfomgt.2025.102982","url":null,"abstract":"<div><div>It is widely accepted that the impact of Generative Artificial Intelligence (GenAI) has been nothing short of transformational, with tangible impacts on industry, education, healthcare and government. But beyond the headlines, how are organisations actually using GenAI, what are the key challenges experienced by decision makers and has the reality on the ground matched the hype? This study adopts a mixed-methods approach, utilising the Technology-Organisation-Environment (TOE) framework to reveal greater insights to how organisations are adopting GenAI, the drivers that affect decision making and the key challenges associated with greater use of the technology. This research adopts a mixed method approach incorporating an explorative qualitative step with industry participants followed by a survey of 304 (three hundred and four) decision makers from a cross section of industry sectors from around the world including: North America, Europe, Africa, Australia and Asia, to gain further insight to the underlying factors that drive GenAI adoption. The research model was validated using Structural Equation Modelling (SEM) and reveals the intricate and inherent complexities related to greater levels of GenAI adoption. The analysis highlights the critical role of change capacity of the organisation in moderating complexity and staff skills. This research provides valuable and timely insights for senior management and policy makers that are attempting to better understand the interdependencies and perspectives on the key challenges facing organisations looking to deliver greater impact on organisational performance through GenAI.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"86 ","pages":"Article 102982"},"PeriodicalIF":27.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267165","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":"AI meets marketing research: Virtual interviewers and the challenges of regional and demographic adoption","authors":"Györgyi Danó,&nbsp;Stefan Kovács,&nbsp;Vivien Surman","doi":"10.1016/j.ijinfomgt.2025.102985","DOIUrl":"10.1016/j.ijinfomgt.2025.102985","url":null,"abstract":"<div><div>Artificial intelligence (AI)-based tools, such as virtual assistants (VAs), are increasingly used in marketing research, offering both task automation and interactive capabilities. This study examines virtual interviewers (VIs), AI-driven systems designed to conduct surveys as an alternative to human interviewers, addressing a key research gap on demographic and regional differences in VI adoption. Using two independent datasets (N = 1077 for a national sample, N = 1161 for Budapest), we tested three hypotheses related to Chatbot usage, willingness to engage with VIs, and regional differences. The findings reveal significant urban-rural disparities in AI acceptance. Urban respondents, particularly in Budapest, showed greater openness to Chatbot adoption, driven by curiosity and a desire for novelty. In contrast, rural participants exhibited heightened privacy concerns, acting as a barrier to adoption. Across both groups, openness to innovation and positive AI attitudes facilitated adoption, whereas privacy apprehensions and a preference for human interaction posed challenges. Beyond individual preferences, the study highlights ethical concerns, including AI replacing human interviewers and biases in AI algorithms. These findings underscore the need for tailored AI strategies that address regional and demographic differences while mitigating privacy concerns and building trust. This study advances knowledge on demographic and attitudinal factors influencing AI acceptance in research, with implications for optimizing AI-human hybrid models and ensuring ethical, inclusive AI adoption in marketing research and beyond.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"86 ","pages":"Article 102985"},"PeriodicalIF":27.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267049","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":"E-SF2I: Dynamics modeling and multi-level verification of Online Social Network rumor propagation driven by emotional differentiation and dual-immunity-state coupling","authors":"Chenquan Gan ,&nbsp;Hongming Chen ,&nbsp;Qingyi Zhu ,&nbsp;Rui Tang ,&nbsp;Deepak Kumar Jain ,&nbsp;Liping Feng ,&nbsp;Salvador García","doi":"10.1016/j.ijinfomgt.2025.102989","DOIUrl":"10.1016/j.ijinfomgt.2025.102989","url":null,"abstract":"<div><div>The open architecture of Online Social Networks (OSNs) facilitates information sharing but also exacerbates the risk of rumor propagation. In response to the challenge that existing propagation models struggle to quantify the synergistic effects of user emotional polarization and temporary neutral behavior, this paper proposes a novel E-SF2I (Emotion-Susceptible-Forwarding-Temporary Immunity-Permanent Immunity) rumor propagation dynamics model. In terms of theoretical modeling, a differential dynamic system with time-varying characteristics is constructed by coupling the emotion-driven forwarding mechanism with dual immunity state transitions. Based on the Lyapunov stability theory, the system equilibrium and its global asymptotic stability are rigorously demonstrated. A rumor propagation simulation algorithm based on the E-SF2I framework and a multi-level verification are further developed to verify the practical application value of the proposed model. Initially, the theoretical results derived from the model are validated using real network structure datasets (Facebook, Twitter, P2P). Subsequently, the validity of the proposed model is tested using 13 real rumor events on the Twitter dataset. Finally, the proposed model is compared with traditional and new models for three representative real rumor events. The results show that the proposed model achieves higher accuracy in predicting the propagation trends of rumor events.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"86 ","pages":"Article 102989"},"PeriodicalIF":27.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474065","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":"Algorithmic management in the workplace: A systematic review and topic modeling integration using BERTopic","authors":"Wansi Chen ,&nbsp;Anya Li ,&nbsp;Chengkai Pan ,&nbsp;Ting Yu ,&nbsp;Aamir Ali ,&nbsp;Yuanyuan Sun","doi":"10.1016/j.ijinfomgt.2025.102994","DOIUrl":"10.1016/j.ijinfomgt.2025.102994","url":null,"abstract":"<div><div>As algorithmic systems become increasingly embedded in organizational processes, algorithmic management in the workplace has emerged as a central mechanism for guiding, evaluating, and coordinating employee attitudes and behaviors. While existing research has extensively examined the application of algorithmic management in gig platforms, there remains a lack of systematic review and theoretical integration concerning its diverse configurations, deployment conditions, and employee response mechanisms within standardized workplace settings. To address this gap, we conducted a systematic review of 167 peer-reviewed articles on workplace algorithmic management using the BERTopic topic modeling method. Guided by socio-technical systems (STS) theory and a bi-dimensional framework of algorithmic and employee autonomy, we identify four archetypal configurations: surveillance, supervision, supplementary, and complementary. These archetypes reflect distinct employee-algorithm interaction logics across role allocation, task interdependence, and goal alignment. We further examine the technological and organizational conditions required for each configuration and synthesize employee responses across cognitive, emotional, and behavioral domains. By constructing a configuration-based taxonomy rooted in the (in)consistencies of employee-algorithm autonomy, this study explicates the socio-technical deployment mechanisms underlying each archetype and illustrates how employees adapt to algorithmic systems through complex and dynamic engagement trajectories. Our findings offer an integrative framework linking configuration logics, deployment demands, and response patterns, contributing to a more nuanced understanding of how intelligent systems reshape organizational structures and employee experiences.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"86 ","pages":"Article 102994"},"PeriodicalIF":27.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474064","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":"Factors influencing the adoption intent of quantum computing in enterprises: An innovation adoption process perspective","authors":"Ohbyung Kwon ,&nbsp;Seongjun Kwon ,&nbsp;Timothy Jung ,&nbsp;Saifeddin Alimamy","doi":"10.1016/j.ijinfomgt.2025.102978","DOIUrl":"10.1016/j.ijinfomgt.2025.102978","url":null,"abstract":"<div><div>With recent advancements in quantum computing technology, companies have begun considering replacing or jointly utilizing their existing classical computing resources with quantum computing. Despite initial research on the examination of the adoption considerations for quantum computing, there is a lack of studies investigating the conditions that influence the adoption of quantum computing technology. Therefore, the purpose of this study is to identify and analyze the key factors that drive or hinder companies' intention to adopt quantum computing technology. Building on the theory of innovation diffusion and integrating insights from the adoption of multiple emerging technologies, this research aims to extend the understanding of quantum computing adoption dynamics. Specifically, drawing on the theory of innovation diffusion and existing literature related to the adoption of multiple emerging technologies, this research proposes the following research questions to identify the factors influencing the adoption intention of quantum computing. The study employed a Sequential Explanatory design, first exploring the topic through literature and interviews with 11 quantum computing experts, then quantifying findings with a questionnaire survey with 250 IT decision-makers within Korean companies, analyzed using PLS-SEM and MGA. Research findings revealed that belief in quantum superiority, quantum advantage, continuous budget allocation, and regulatory support significantly and positively influenced quantum computing adoption, whereas organizational resistance had the most substantial negative impact. Furthermore, firm size and industry significantly moderate these adoption intentions. Interestingly, companies expressed a desire to adopt quantum computing despite uncertainties. Theoretically, this study contributes to innovation diffusion theory by contextualizing its application to the adoption of a highly complex and nascent technology such as quantum computing. Practically, the findings offer actionable implications for policymakers and business leaders by illuminating the key drivers and barriers that must be addressed to promote quantum computing adoption.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"86 ","pages":"Article 102978"},"PeriodicalIF":27.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227140","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":"Increasing developers’ code accountability perceptions in open source software development","authors":"Sebastian Clemens Bartsch ,&nbsp;Jan-Hendrik Schmidt ,&nbsp;Martin Adam ,&nbsp;Alexander Benlian","doi":"10.1016/j.ijinfomgt.2025.102974","DOIUrl":"10.1016/j.ijinfomgt.2025.102974","url":null,"abstract":"<div><div>Open source (OS) software projects rely on high-quality code, making developers’ participation in reviewing their code essential to improve its quality. In non-OS domains, formal consequences (i.e., sanctions and rewards like fines or bonuses) are usually applied to raise developers’ perceived accountability for their code, thus motivating them to review it. However, in the OS domain, such formal consequences are often absent or only weakly pronounced, raising questions of whether and how developers perceive accountability for their code and how it affects their motivation to improve its quality. Using a developmental mixed-method research approach, we conducted a qualitative study with semi-structured online interviews to develop a research model (n = 29) and validated it through a follow-up scenario-based factorial survey (n = 480). Our findings indicate that in the OS domain, developers often perceive themselves accountable for their code. Project- and individual-related factors, such as legal liability for contributed code, the integration of the OS software project into other projects, the work status of developers, and gaining a reputation for code contributions, appear as mechanisms to influence and increase developers’ perceived code accountability. Furthermore, we observe that perceived code accountability promotes developers’ intention to review their code before contributing it to OS software projects and, thus, contribute code with higher quality. Overall, our paper contributes to information systems (IS) research on accountability perceptions in OS software development, indicating that in the OS domain, formal consequences such as sanctions and rewards are not exclusively necessary for evoking developers’ perceived code accountability and increasing code quality.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"86 ","pages":"Article 102974"},"PeriodicalIF":27.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018446","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":"The art of attraction: Decoding dynamics of entrepreneurs presentation experience in reward-based crowdfunding","authors":"Mohammadreza Meigounpoory ,&nbsp;Pouria Rad ,&nbsp;Mohsen Jozani ,&nbsp;Gianluca Zanella","doi":"10.1016/j.ijinfomgt.2025.102998","DOIUrl":"10.1016/j.ijinfomgt.2025.102998","url":null,"abstract":"<div><div>Crowdfunding outcomes depend not only on projects but on how creators present themselves. We study creator-level factors in the “About the Creator” section on Kickstarter using a large longitudinal dataset, combining speech act analysis of biographies, automated classification of avatar type and quality, and measures of on-platform engagement. Expressive wording that signals ownership and inclusion is positively associated with funding, whereas several commissive framings that emphasize need, process, or persistence are negatively associated, and casual interjections are also detrimental. Higher quality avatars are beneficial, while substituting a logo for a face is associated with poorer outcomes. Engagement matters, as replying to comments and a richer history of backing other projects are positively related to funding, while a passive social media link shows no reliable relationship. An integrated creator-level model that pools these cues improves explanatory power beyond standard campaign-level factors, and a comparison of the highest and lowest scoring biographies by our speech acts index indicates materially better funding performance for the former. The study foregrounds the entrepreneur as the locus of trust formation and offers a portable toolkit and practical guidance for improving creator self-presentation.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"86 ","pages":"Article 102998"},"PeriodicalIF":27.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474063","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":"Effect of corporate reputation and coopetitive branding strategy on digital products sales: Evidence from digital video game industry","authors":"Hoon S. Choi ,&nbsp;Emmanuel W. Ayaburi","doi":"10.1016/j.ijinfomgt.2025.102975","DOIUrl":"10.1016/j.ijinfomgt.2025.102975","url":null,"abstract":"<div><div>This research examines the impact of the corporate reputation of game developers and publishers and their coopetitive branding strategy on digital video game sales. The study utilizes empirical data from Steam, the world’s largest digital video game distributor. Drawing on signaling theory, the study reveals the effect of two types of quality cues—corporate reputation and coopetitive branding strategy—on digital video game sales. The study finds the positive effect of both parties’ corporate reputations on sales. Additionally, it finds the moderation effect of their reputation on the relationship between product popularity and sales, emphasizing the importance of corporate reputation in the digital video game market with enormous product diversity. Regarding a coopetitive branding strategy’s effect, the findings disclose that only developer coopetitive branding—labeling multiple developer brands in a competitive relationship—effectively increases sales, while publisher coopetitive branding has no significant effect.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"86 ","pages":"Article 102975"},"PeriodicalIF":27.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106432","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":"Building on the legacy of the International Journal of Information Management","authors":"Michael Chau,&nbsp;Andrew Schwarz","doi":"10.1016/j.ijinfomgt.2025.103000","DOIUrl":"10.1016/j.ijinfomgt.2025.103000","url":null,"abstract":"","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"86 ","pages":"Article 103000"},"PeriodicalIF":27.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693140","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":"Sorry, it's my fault: Politeness, attribution, and anthropomorphism in managing generative AI hallucinations","authors":"Hayeon Kim,&nbsp;Sang Woo Lee","doi":"10.1016/j.ijinfomgt.2025.102996","DOIUrl":"10.1016/j.ijinfomgt.2025.102996","url":null,"abstract":"<div><div>While generative artificial intelligence (AI) has revolutionized various fields, it also presents a significant challenge: 'hallucinations'—plausible but inaccurate information generated by AI systems. Because hallucinations are difficult to prevent entirely, it is essential for generative AI systems to address these inaccuracies effectively. This study investigates how generative AI response strategies to hallucinations affect user satisfaction and tolerance. We examined the impact of politeness (Gratitude vs. Apology) and attribution (Internal vs. External) strategies, as well as AI anthropomorphism, on user reactions. In a 2 × 2 online experiment with 369 ChatGPT users, participants were randomly assigned to one of four response strategy conditions. Results show that users reported the highest satisfaction when the AI apologized and accepted internal responsibility for the error. This effect was particularly pronounced among users who perceived the AI as less human-like, though positive reactions were also observed among users who anthropomorphized the AI. Moreover, user satisfaction mediated the relationship between the AI’s apology/internal attribution and tolerance for hallucinations. This indirect effect was strongest among those who perceived the AI as less human-like. These findings offer theoretical insights into how social response strategies shape user tolerance of AI errors and provide practical guidance for designing more trustworthy and human-centered AI.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"86 ","pages":"Article 102996"},"PeriodicalIF":27.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474062","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}