International Journal of Information Management最新文献

{"title":"When employees meet digital-intelligence transformation: Unveiling the role of employee intentions","authors":"Tung-Ju Wu ,&nbsp;Ruo-Xi Zhang ,&nbsp;Jia-Min Li","doi":"10.1016/j.ijinfomgt.2025.102912","DOIUrl":"10.1016/j.ijinfomgt.2025.102912","url":null,"abstract":"<div><div>Although the reaction of change recipients is crucial in the successful implementation of organizational change, research on digital-intelligence transformation (DIT) neglected employees’ intentions to support DIT. Integrating the theory of planned behavior and job demands-resources model, this study presents a model that explains employees’ intention to support DIT. Derived from a preliminary interview study, we identified critical determinants that shape employees’ attitude towards DIT. We conducted a two-time point study with employees from enterprises presently undergoing DIT to test hypotheses. We found that DIT-supportive behavior is indirectly influenced by DIT-related attitude, DIT-related subjective norm and role clarity under DIT via employees’ intentions to support DIT. Our research also explored the moderating role of DIT-related perceived behavioral control. We further discuss the theoretical and practical implications of this research.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"84 ","pages":"Article 102912"},"PeriodicalIF":20.1,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903537","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":"Data-driven dynamic capabilities in emerging markets: A grounded theory approach to digital transformation in african retail banking","authors":"Thomas Anning-Dorson,&nbsp;Faeeza Baba,&nbsp;Melissa Zulu,&nbsp;George Acheampong","doi":"10.1016/j.ijinfomgt.2025.102914","DOIUrl":"10.1016/j.ijinfomgt.2025.102914","url":null,"abstract":"<div><div>This study develops a process model of Data-Driven Dynamic Capabilities (DDDC) in African retail banking, addressing critical gaps in our understanding of how organizations develop and deploy data capabilities in data-rich, resource-constrained environments. Through a qualitative multiple case study of two major African banks, we uncover the specific practices through which banks develop capabilities despite resource constraints, deploy them to address contextual challenges, and generate competitive advantage. Our analysis reveals three interconnected processes: capability development practices (including data-driven culture cultivation, cross-functional integration, and adaptive infrastructure development); core capabilities that emerge through these practices (Data Integration and Synthesis, Real-time Insight Generation, and Agile Marketing Execution); and capability deployment practices (such as contextually adaptive customer engagement and regulatory navigation) that translate capabilities into competitive outcomes. The process model explains how contextual factors—including regulatory complexity, varying digital infrastructure, and skills constraints—shape both capability development and deployment practices. Theoretically, our study extends dynamic capabilities theory by reconceptualizing capability development as an ongoing process enacted through specific organizational practices rather than as a linear sequence of activities. It contributes to the literature on big data analytics by revealing how capabilities emerge through the interplay of organizational practices and contextual factors, challenging traditional assumptions about resource requirements for advanced analytics capabilities. By focusing on practices rather than just capabilities, our process model shows how organizations in resource-constrained environments develop innovative approaches to overcome limitations in specialized analytics talent and infrastructure. This research provides a roadmap for digital transformation in emerging markets, emphasizing the development of contextually appropriate practices rather than simply importing approaches from resource-rich environments. It sets the stage for future research on organizational adaptation in data-rich, resource-constrained environments, exploring the intersection of data analytics, dynamic capabilities, and contextual innovation.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"84 ","pages":"Article 102914"},"PeriodicalIF":20.1,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903539","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":"Exploring the role of information systems-induced depletion, boreout syndrome, social media use on quiet quitting among digital cohorts","authors":"A. Mohammed Abubakar ,&nbsp;Ömer Turunç ,&nbsp;Mohammad Soliman ,&nbsp;Alexandre Sukhov","doi":"10.1016/j.ijinfomgt.2025.102911","DOIUrl":"10.1016/j.ijinfomgt.2025.102911","url":null,"abstract":"<div><div>This research explores the socio-technical factors behind employees’ quiet quitting by investigating how social factors (boreout syndrome and digital cohorts) and technical factors (IS-induced depletion and social media usage) interact to encourage this behavior. A two-wave design across two independent studies was used with an expanded analytical approach. Study 1 used a symmetric variable-based analysis to identify IS-induced depletion, boreout, low social media usage, and digital immigrant status as key predictors of quiet quitting. In Study 2, boreout, social media usage, and digital immigrant status emerged as significant predictors. An asymmetric case-based analysis further demonstrated that quiet quitting results from combinations of conditions: in Study 1, IS-induced depletion and boreout were prevalent among digital immigrants with low social media usage. Similarly, in Study 2, IS-induced depletion and boreout occurred among digital natives or individuals with low social media usage. Contrary to the assumption that digital natives are more prone to quiet quitting, the findings indicate that digital immigrants are, in fact, more susceptible to this behavior when exposed to these stressors.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"84 ","pages":"Article 102911"},"PeriodicalIF":20.1,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903536","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 AI to elicit positive word-of-mouth in service recovery: The role of stress, anthropomorphism, and personal resources","authors":"Byron W. Keating ,&nbsp;Rory Mulcahy ,&nbsp;Aimee Riedel ,&nbsp;Amanda Beatson ,&nbsp;Kate Letheren","doi":"10.1016/j.ijinfomgt.2025.102916","DOIUrl":"10.1016/j.ijinfomgt.2025.102916","url":null,"abstract":"<div><div>Service organizations are increasingly deploying generative AI (GenAI) chatbots to handle service failures, yet there is a critical gap in understanding how anthropomorphic AI design can improve service recovery outcomes. This study addresses that gap by investigating whether making AI agents more human-like can mitigate customers’ stress during service recovery and foster positive word-of-mouth (PWOM). Grounded in the <em>Transactional Model of Stress and Coping</em>, we propose that anthropomorphic cues in AI interactions reduce customers’ stress appraisals of service failures. A multi-study experimental design was employed, including a pilot study and three scenario-based experiments that manipulated AI anthropomorphism and service failure severity. The results show that anthropomorphized AI significantly lowers customer stress levels and, in turn, increases PWOM, with stress appraisals mediating the relationship between AI anthropomorphism and positive word-of-mouth. Notably, these benefits emerged mainly for low-severity service failures, and the stress-reduction effect of an anthropomorphic AI agent was most pronounced for customers with limited personal coping resources. These findings provide actionable insights for service managers and AI designers: incorporating human-like warmth and competence into AI service agents can enhance recovery experiences by alleviating customer stress, thereby encouraging PWOM and improving overall service recovery effectiveness.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"84 ","pages":"Article 102916"},"PeriodicalIF":20.1,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903538","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":"Towards explaining the effects of the human-technology dynamic on human agency in digital transformations","authors":"Mohsin Malik ,&nbsp;Amir Andargoli ,&nbsp;Kerem Pala ,&nbsp;Guilherme Luz Tortorella","doi":"10.1016/j.ijinfomgt.2025.102915","DOIUrl":"10.1016/j.ijinfomgt.2025.102915","url":null,"abstract":"<div><div>The extant theorising of digital transformation has seldom focused on the human agency and how the human agency is affected by the dynamic of human-technology that entails social conflicts. To address this, we provide a complementary explanation of digital transformations grounded in socio-cognitive and role theories. We suggest that employees’ cognitions and behaviours influence digital transformations, but this relationship is dampened by conflicts arising from the dynamic of human-technology. Survey data from 256 participants involved in digital transformations in Australia was used to test the suggested relationships. The statistical findings confirm that employees’ cognitive trust is the driving mechanism that affects digital transformation both directly and indirectly through the innovative behaviour of employees. Role conflict was found to weaken the relationships between trust and innovative behaviour and trust and digital transformation. The empirical validation of the integrative socio-cognitive and role theorising of digital transformations—highlighting the potential social conflicts arising from the human technology interactions—has important theoretical and managerial implications for the strategic decision-making governing digital transformations.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"84 ","pages":"Article 102915"},"PeriodicalIF":20.1,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887989","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":"Workplace cyberbullying: A multidisciplinary review and agenda for future research in the era of artificial intelligence","authors":"Jie Yan ,&nbsp;Dorothy E. Leidner ,&nbsp;Puzant Balozian ,&nbsp;Villacis Calderon Eduardo ,&nbsp;Ramona Ionescu","doi":"10.1016/j.ijinfomgt.2025.102910","DOIUrl":"10.1016/j.ijinfomgt.2025.102910","url":null,"abstract":"<div><div>Workplace cyberbullying (WCB) is a pervasive issue that adversely impacts individuals and organizations, fueled by technological advancements and the ubiquity of digital communication tools. This study conducts a multidisciplinary review of existing WCB research. By analyzing 83 articles, we synthesized key themes, including the attributes of WCB, its technological enablers, emotional drivers, environmental factors, and organizational control mechanisms. We highlight gaps in detecting, preventing, and addressing WCB, with a particular emphasis on leveraging artificial intelligence (AI) technologies. We propose a research agenda exploring how AI can mitigate WCB through multimodal detection, emotional intervention mechanisms, and pattern recognition. Our study underscores the importance of interdisciplinary approaches in addressing WCB and offers actionable insights for future research and organizational practices, aiming to enhance employee well-being and workplace culture.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102910"},"PeriodicalIF":20.1,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874774","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":"Managing online small-group learning: Effects of facilitation style and type of group reward","authors":"Ron Chi-Wai Kwok ,&nbsp;Surinder S. Kahai ,&nbsp;Jin-Xing Hao","doi":"10.1016/j.ijinfomgt.2025.102909","DOIUrl":"10.1016/j.ijinfomgt.2025.102909","url":null,"abstract":"<div><div>The theory of community of inquiry (COI) is widely used to explain students’ experiences in online learning. However, it is rarely used to develop structured, evidence-based teaching strategies for managing communities of inquiry. To extend COI theory, this study proposes a dual-element construct of teaching presence and a problem-driven online small-group learning model. The study aims to understand the effects of teaching presence (combining facilitation and group reward) on social presence (peer interactions) and cognitive presence (cognitive learning outcomes). It incorporates leadership style in facilitation (transformational vs. transactional) and individual accountability in group reward to define strategies for the dual-element approach to teaching presence. A controlled experiment with a 2 × 2 factorial design was conducted on a text-based platform to observe the effects of facilitation style and individual accountability in group reward. Results showed that both the transformational (vs. transactional) facilitation style and individual accountability in group reward promoted peer interaction and cognitive learning outcomes. They also interacted positively to enhance peer interaction and cognitive learning outcomes. The nuanced effects of the different elements of the dual-element approach to teaching presence are discussed, along with theoretical and practical implications.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102909"},"PeriodicalIF":20.1,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843464","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":"Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration","authors":"Reza Marvi ,&nbsp;Pantea Foroudi ,&nbsp;Naja AmirDadbar","doi":"10.1016/j.ijinfomgt.2025.102908","DOIUrl":"10.1016/j.ijinfomgt.2025.102908","url":null,"abstract":"<div><div>Given the scarcity of previous studies on employee–AI collaboration and its impact on employee behavior and user engagement, we investigated its potential to drive user engagement using a mixed-method approach. Grounded in qualitative findings from 27 participants in a healthcare setting, we propose a robust model that emphasizes the impact of AI–employee collaboration on AI mastery goal, user engagement, and a paradox mindset, as well as the moderating role of AI empathy and technological frames. Using a quantitative method, we collected data from 452 participants in a healthcare setting across two studies. Our findings showed that AI–employee collaboration can drive AI mastery goal and a paradox mindset. We also found empirical evidence that both AI mastery goal and the paradox mindset can mediate the relationship between employee–AI collaboration and user engagement. Moreover, our findings revealed interesting moderating results across two studies. In Study 1, significant effects were found for both employee–AI collaboration and AI mastery goal at low AI empathy, but not at high levels. In Study 2, while the interaction between employee–AI collaboration and AI empathy was not significant, the influence of AI mastery goal became significant at high empathy levels, and the paradox mindset showed a significant effect only at high levels of AI empathy. These findings provide managers with valuable insights into the essential operations dynamic of employee–AI collaboration, underscoring its important role in enhancing user engagement.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102908"},"PeriodicalIF":20.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143830046","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":"Navigating remote host management and strategic information disclosure in Airbnb: A dual-theory perspective","authors":"Long Xia","doi":"10.1016/j.ijinfomgt.2025.102906","DOIUrl":"10.1016/j.ijinfomgt.2025.102906","url":null,"abstract":"<div><div>Airbnb, a prominent sharing economy platform, has experienced significant global expansion, offering lucrative investment opportunities irrespective of investors' geographical locations. Despite the rising trend of using Airbnb for remote investments, this phenomenon has received limited research attention. This study employs a dual-theory lens, integrating social exchange and social penetration theories, to propose a unified theoretical framework for examining the dynamics of remote host management and information disclosure. Using a mixed-method approach—combining deep learning-based text classification to extract nuanced information aspects from host self-disclosures and econometric modeling on an extensive panel dataset—we reveal that while remote management exhibits lower performance than locally managed counterparts, strategic information disclosure can effectively mitigate such impacts. As a groundbreaking exploration of remote host management, this study contributes theoretically to the sharing economy, social exchange and social penetration theories, and information disclosure literature, while providing practical implications to support remote management and strategic information disclosure decision-making.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102906"},"PeriodicalIF":20.1,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800698","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":"Agenda-setting effects for covid-19 vaccination: Insights from 10 million textual data from social media and news articles using BERTopic","authors":"Hyunsang Son ,&nbsp;Young Eun Park","doi":"10.1016/j.ijinfomgt.2025.102907","DOIUrl":"10.1016/j.ijinfomgt.2025.102907","url":null,"abstract":"<div><div>This study investigates the agenda-setting effects of media in the context of the COVID-19 vaccination by leveraging a cutting-edge machine learning framework, BERTopic, to analyze over 10 million textual data points from social media and news articles. The research highlights a significant divergence between public opinion, primarily expressed on Twitter, and the media agenda, challenging traditional agenda-setting theories in public health crises. Specifically, while public discourse centered on vaccination-related concerns and negative sentiments toward vaccination policies, media coverage diversified to include topics such as politics, foreign affairs, and economics. The proposed framework systematically integrates data collection, preprocessing, and advanced topic modeling to enhance interpretability and efficiency. By adopting BERTopic, this study advances beyond traditional Latent Dirichlet Allocation (LDA) models by offering superior clustering and contextual understanding of unstructured text data. The framework demonstrates its utility in identifying actionable insights for public health practitioners, policymakers, and information systems researchers, providing a robust methodology to track and evaluate public sentiment and media narratives during health crises. Ultimately, this study emphasizes the critical need to align media messaging with public concerns to improve vaccination campaigns and public health communication. It contributes to the theoretical understanding of agenda-setting in the digital era while offering practical guidelines for leveraging social big data in multidisciplinary applications.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102907"},"PeriodicalIF":20.1,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785145","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}