International Journal of Information Management最新文献

英文中文

Managing online small-group learning: Effects of facilitation style and type of group reward

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-04-18 DOI: 10.1016/j.ijinfomgt.2025.102909

Ron Chi-Wai Kwok , Surinder S. Kahai , Jin-Xing Hao

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.

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引用次数: 0

Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-04-14 DOI: 10.1016/j.ijinfomgt.2025.102908

Reza Marvi , Pantea Foroudi , Naja AmirDadbar

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.

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引用次数: 0

Navigating remote host management and strategic information disclosure in Airbnb: A dual-theory perspective

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-04-09 DOI: 10.1016/j.ijinfomgt.2025.102906

Long Xia

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.

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引用次数: 0

Agenda-setting effects for covid-19 vaccination: Insights from 10 million textual data from social media and news articles using BERTopic

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-04-07 DOI: 10.1016/j.ijinfomgt.2025.102907

Hyunsang Son , Young Eun Park

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.

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引用次数: 0

The dark side of employee-generative AI collaboration in the workplace: An investigation on work alienation and employee expediency

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-04-03 DOI: 10.1016/j.ijinfomgt.2025.102905

Shenyang Hai , Tianyi Long , Andreawan Honora , Arnold Japutra , Tengfei Guo

Generative AI (GenAI) has emerged as a powerful tool in the modern workplace, delivering significant benefits to both employees and organizations. As its adoption gains momentum, understanding the potential risks associated with employee-GenAI collaboration becomes increasingly important. While much of the existing research emphasizes the challenges GenAI presents to employees as individuals, this study shifts the focus to explore broader organizational risks, particularly unethical workplace behaviors. Drawing on human-AI collaboration research and the job demands-resources model, we develop and empirically test a novel model to explain how and when employee-GenAI collaboration may lead to employees’ unethical behavioral outcomes in daily organizational contexts. Using an experience sampling approach with longitudinal data from 229 service industry employees, encompassing 1050 matched daily observations, our findings reveal that employee-GenAI collaboration increases work alienation—a sense of disconnection from work—which, in turn, drives employee expediency that compromises work standards. Furthermore, we demonstrate that this effect is pronounced under high digital job demands. By highlighting this unintended consequence, our study contributes to theoretical advancements in understanding the darker side of employee-GenAI collaboration and provides practical insights to help organizations harness the benefits of GenAI while mitigating its potential ethical pitfalls.

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引用次数: 0

How livestream engagement inspires tourist purchasing behaviour: A multi-study approach

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-03-31 DOI: 10.1016/j.ijinfomgt.2025.102903

Hamed Azad Moghddam , Gary Mortimer , Hormoz Ahmadi , Hamid Sharif-Nia

In the rapidly evolving digital landscape, livestream commerce has become a powerful tool for tourism providers. This study underscores the pressing need for businesses within the tourism sector to understand the nuances of this dynamic medium and align their marketing strategies accordingly. In responding to calls, this research utilises a rigorous mixed-methods approach to examine the interactions between streamers, viewers, and the broader online community. Inspiration theory and optimum stimulation level theory are applied in a tourism context to examine how livestream viewers’ individual differences influence their inspiration for impulse buying and cross-buying. Further, sociomateriality is adopted to examine how the interconnectedness of livestreaming has an impact on inspiration and behaviours. Findings from in-depth interviews and an online survey of social media users who had livestreaming commerce experience indicate that impulse buying and cross-buying are driven by antecedents such as two-way communications between streamers and individuals and online communities and individuals, as well as the perception of inspiration. These relationships are moderated by the optimum stimulation level. This study offers directions for further research and insights for managers, suggesting a focus on the dynamics of livestream commerce.

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引用次数: 0

When humble AI meets narcissistic customers: A terror management perspective

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-03-29 DOI: 10.1016/j.ijinfomgt.2025.102904

Jing Liu , Fu-Chieh Hsu , Jing Yu , Jie Cao , Huiwen Mai

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.

引用次数: 0

Situational awareness about data breaches and ransomware attacks: A multi-dimensional cyber threat impact framework and content analyses of practitioner-public discourses

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-03-26 DOI: 10.1016/j.ijinfomgt.2025.102902

Paras Bhatt , Rohit Valecha , H. Raghav Rao

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.

网络威胁事件日益增多，引起了公众的关注。最近，数据泄露和勒索软件攻击已成为对组织和个人影响重大的两类网络威胁。因此，组织和公众开始以各种形式讨论这些威胁。前者在供公众阅读的从业者报告中讨论这些威胁，而社交媒体平台则是公众的首选渠道。虽然已有文献开始研究此类网络威胁事件的相关问题，但有关网络威胁、由此引发的社交媒体讨论及其对态势感知和提取有意义或可操作网络情报的潜力的研究却很少。本文做出了两方面的贡献：首先，本文从理论、法规和特定领域文献的研究中提取了网络威胁的多个维度。我们将这些维度称为 "泄露"、"法律"、"原因 "和 "成本"，并利用它们创建了一个网络威胁影响框架。其次，通过对 Verizon 数据泄露调查报告（DBIR）中的大型数据集以及 Twitter 上的社交媒体言论进行文本挖掘内容分析，本文调查了从业人员和公众对这两类网络威胁事件的言论，以揭示不同维度对态势感知的相对重要性。本文发现，数据泄露和勒索软件攻击事件在网络威胁影响框架的不同维度上存在相似之处和不同之处。通过对从业人员和公众论述的双重分析，决策者可以了解态势感知，从而制定适当的网络情报和网络威胁防御政策。

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引用次数: 0

What’s your archetype? Understanding how IT Identity influences information systems adoption

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-03-19 DOI: 10.1016/j.ijinfomgt.2025.102889

Sam Senanayake , Petros Chamakiotis

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.

{"title":"What’s your archetype? Understanding how IT Identity influences information systems adoption","authors":"Sam Senanayake , 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}

引用次数: 0

How does platform leadership promote employee commitment to digital transformation? — A moderated serial mediation model from the stress perspective 平台领导力如何促进员工对数字化转型的承诺？- 压力视角下的调节序列中介模型

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-03-15 DOI: 10.1016/j.ijinfomgt.2025.102900

Qiwei Zhou, Xueting Shi

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.

{"title":"How does platform leadership promote employee commitment to digital transformation? — A moderated serial mediation model from the stress perspective","authors":"Qiwei Zhou, 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}

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