International Journal of Information Management最新文献_第2页

Why ride-hailing platform firms are reluctant to share data with governments: Evidence from China 为什么网约车平台公司不愿与政府分享数据：来自中国的证据

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-12-19 DOI: 10.1016/j.ijinfomgt.2025.103019

Guoyin Jiang, Wanqiang Yang, Xingshun Cai

{"title":"Why ride-hailing platform firms are reluctant to share data with governments: Evidence from China","authors":"Guoyin Jiang, Wanqiang Yang, Xingshun Cai","doi":"10.1016/j.ijinfomgt.2025.103019","DOIUrl":"10.1016/j.ijinfomgt.2025.103019","url":null,"abstract":"<div><div>Data sharing between the public and private sectors, such as ride-hailing platform (RHP) firms and the government, aims to generate value. However, the reasons behind the intentions of RHP firms to share data with public entities remain unclear. In this research, a business-to-government (B2G) information-sharing framework is employed, and a mixed study combining structural equation modeling (SEM), with a sample size of 426 and fuzzy-set qualitative comparative analysis (fsQCA), with a sample size of 82 is conducted. The same variables are adopted and assessed through different methods, providing complementary insights into how information and technology, organizational and managerial dynamics, and political and policy considerations affect the intentions of RHP firms to share data with the government. The results of SEM analysis show government-led initiatives related to data infrastructure, data management improvement, robust systems for data security, administrative penalties, and strong government–business political connections collectively decrease the reluctance to share data (RSD) among RHP firms. The platform power (PP) level of RHP firms influences B2G data sharing to varying degrees. The fsQCA analysis identifies four configurations linked to the RSD of RHP firms, and their combinations result in the same outcome. Heterogeneity analysis further yields variations in configurations of reluctance across different PP levels. This research has important implications for governments seeking to address firm reluctance and promote sustainable B2G data-sharing practices.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103019"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789835","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

Bound to disclosure: An assessment of secondary data use concerns 约束披露：对二级数据使用问题的评估

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-12-27 DOI: 10.1016/j.ijinfomgt.2025.103026

Stephen Flowerday , Jake Mead , Rene Moquin

{"title":"Bound to disclosure: An assessment of secondary data use concerns","authors":"Stephen Flowerday , Jake Mead , Rene Moquin","doi":"10.1016/j.ijinfomgt.2025.103026","DOIUrl":"10.1016/j.ijinfomgt.2025.103026","url":null,"abstract":"<div><div>The sudden and complete dominance of social media by a few select companies has often led users to feel at odds with the rapidly changing business strategies in digital environments. One practice, the secondary use of personal information, has received limited attention in privacy behavior research. While many people remain unaware of how much of their data is collected, the secondary use of personal information, using personal information for reasons beyond the original transaction, is an increasing concern among social media users. Grounded in privacy calculus theory, this study aimed to propose and empirically test a research model regarding user concerns about secondary data use and its impact on self-disclosure intentions on Facebook. Privacy calculus research seeks to explain the privacy paradox, which refers to the disconnect between individuals' privacy concerns and their actual behavior. We posit that users are not perfectly rational but rather operate under conditions of bounded rationality, shaped by both real-world and engineered constraints, particularly evident in secondary data use practices. The findings demonstrate that concerns about the secondary use of personal information significantly diminish users' perceived benefits and heighten their perceived risks. Despite this, users continue to perceive that the benefits of information disclosure outweigh the risks. Our findings suggest that the opaque, multilayered nature of secondary data use on social media platforms exemplifies the conditions of bounded rationality under which users operate. Faced with limited information, cognitive constraints, and complex data ecosystems, individuals engage in satisficing behaviors that inadvertently increase their vulnerability to exploitation. Building on this observation, we extend privacy calculus by modeling disclosure decisions under bounded rationality and by centering secondary data use as the key driver of privacy concerns.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103026"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883713","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

Generative AI in academic research activities: The hidden side of self-detrimental consumption 学术研究活动中的生成式人工智能：自我有害消费的隐藏一面

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-12-23 DOI: 10.1016/j.ijinfomgt.2025.103024

Mai Nguyen , Yunen Zhang , Yi Bu , Russell Belk

{"title":"Generative AI in academic research activities: The hidden side of self-detrimental consumption","authors":"Mai Nguyen , Yunen Zhang , Yi Bu , Russell Belk","doi":"10.1016/j.ijinfomgt.2025.103024","DOIUrl":"10.1016/j.ijinfomgt.2025.103024","url":null,"abstract":"<div><div>Generative AI (GenAI) is increasingly embedded in academic research activities undertaken by researchers (including research-active educators) and research students. While GenAI can raise efficiency, it may also foster self-detrimental consumption for short-term convenience that erodes long-term research integrity and capability. To map this “hidden side”, we conducted a netnography of discussions on X-platform (formerly Twitter) by self-identified researchers, research-active educators and research students (between October and November 2024; Study 1), alongside semi-structured interviews with 19 Australia-based researchers (aged 19–45; Study 2). Across the data, we identified five key themes: user misuse, environmental facilitators, usage barriers, GenAI limitations, and challenges, along with related sub-themes. Integrating both studies, we propose the GenAI Self-Detrimental Consumption (GAI-SDC) framework, which explicates how these factors interrelate within academic research contexts. The framework offers a focused lens for analyzing GenAI-related behaviors by examining how factors interact in academic research activities. The practical contribution includes actionable strategies from the framework, providing tangible measures for institutions, researchers, and developers to mitigate self-detrimental use and promote responsible GenAI integration in academic research activities.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103024"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839298","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

Fatigued by uncertainties: Exploring the cognitive and emotional costs of generative AI usage 被不确定性所累：探索生成人工智能使用的认知和情感成本

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-11-26 DOI: 10.1016/j.ijinfomgt.2025.103010

Hui Yang , Yu Zeng , Huizi Xing , Peng Hu

{"title":"Fatigued by uncertainties: Exploring the cognitive and emotional costs of generative AI usage","authors":"Hui Yang , Yu Zeng , Huizi Xing , Peng Hu","doi":"10.1016/j.ijinfomgt.2025.103010","DOIUrl":"10.1016/j.ijinfomgt.2025.103010","url":null,"abstract":"<div><div>Generative AI (GenAI) systems like ChatGPT offer immense potential but also introduce unique challenges, particularly for users navigating uncertainty in GenAI interactions. This study focuses on two distinct uncertainties: prompt uncertainty (uncertainty about how to phrase effective prompts) and response uncertainty (uncertainty about how GenAI will respond even for the same prompt). We examine how these uncertainties contribute to user fatigue and influence feedback behavior. Using data collected from 832 GenAI users, we find that prompt uncertainty induces emotional fatigue, whereas response uncertainty triggers cognitive fatigue. Furthermore, both types of fatigue can reduce users' willingness to provide feedback to GenAI (e.g., rating GenAI outputs or reporting GenAI errors), which can hinder the iterative refinement of GenAI performance. By disentangling the distinct impacts of these uncertainties, this study contributes to a deeper understanding of GenAI-induced fatigue and its implications for user behavior. The findings also offer insights for GenAI developers to address uncertainty and mitigate user fatigue, ultimately fostering sustained user engagement and improving feedback mechanisms.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103010"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145616135","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

Optimizing crowdfunding campaigns: A stage-based analysis of key success factors 优化众筹活动：基于阶段的关键成功因素分析

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-11-29 DOI: 10.1016/j.ijinfomgt.2025.103007

Bih-Huang Jin , Yung-Ming Li , Zho-Wei Li

{"title":"Optimizing crowdfunding campaigns: A stage-based analysis of key success factors","authors":"Bih-Huang Jin , Yung-Ming Li , Zho-Wei Li","doi":"10.1016/j.ijinfomgt.2025.103007","DOIUrl":"10.1016/j.ijinfomgt.2025.103007","url":null,"abstract":"<div><div>In recent years, crowdfunding has emerged as a key mechanism for raising capital for innovative projects. This study examines the funding patterns and critical success factors of 1294 Kickstarter campaigns by dividing each campaign into three phases: initial, middle, and final. Our analysis reveals an S-shaped funding pattern, with the majority of contributions occurring in the initial and final phases. Phase-specific fixed-effects regression shows that prior backers consistently drive subsequent funding, while the effects of updates and comments vary by phase—significantly boosting funding in the initial and final phases but sometimes negatively impacting unsuccessful projects. Moreover, our findings indicate that product-reward campaigns rely on a strong early surge, whereas non-product-reward campaigns benefit from sustained engagement throughout the campaign. Based on these insights, we propose a phase-adaptive strategy matrix to optimize communication strategies, thereby offering actionable guidance for improving crowdfunding success rates and challenging traditional static models.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103007"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145616136","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

Deskilling, reskilling, or upskilling? Unpacking the pathways of student adaptation to generative artificial intelligence 去技能化，再技能化，还是提升技能？解开学生适应生成式人工智能的途径

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-11-19 DOI: 10.1016/j.ijinfomgt.2025.103002

Bo Yang, Yongqiang Sun, Zihan Zeng, Qinwei Li

{"title":"Deskilling, reskilling, or upskilling? Unpacking the pathways of student adaptation to generative artificial intelligence","authors":"Bo Yang, Yongqiang Sun, Zihan Zeng, Qinwei Li","doi":"10.1016/j.ijinfomgt.2025.103002","DOIUrl":"10.1016/j.ijinfomgt.2025.103002","url":null,"abstract":"<div><div>The proliferation of generative AI (GAI) like ChatGPT is transforming how students engage with information and knowledge-focused activities in higher education, sparking debate about its dual impact on learning. While GAI offers potential benefits like enhanced efficiency, concerns about risks such as skill erosion persist. To address this tension, we investigate how students’ dependence on GAI shapes their learning outcomes through skill adaptation processes and under what conditions these effects occur. We conducted a three-phase mixed-methods study (survey N = 306; interviews N = 16; experiment N = 397). Our findings reveal that GAI dependence, influenced by individual learning goals (performance-avoidance/-approach), drives three distinct skill adaptation processes: deskilling (skill erosion), reskilling (acquiring new GAI-related competencies), and upskilling (enhancing existing skills). These adaptations, in turn, differentially impact routine and innovative performance. Qualitative results corroborate and complement these findings, indicating that task characteristics shape GAI use patterns into substitutive and augmentative use. Finally, a scenario-based experiment provides causal evidence for this emergent insight, demonstrating how task characteristics drive the adoption of substitutive vs. augmentative use, which in turn leads to divergent skill adaptation pathways. By combining diverse methodologies, this study clarifies the lights and shadows of GAI dependence, demonstrating how its effects are contingent on individual agency, technological appropriation (substitutive vs. augmentative), and task context. Our findings advance theory on human-AI adaptation and provide practical guidance for practitioners to optimize GAI’s role in learning and knowledge-focused activities.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103002"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145537072","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

Reinforcement or deterioration？Unraveling how employee and AI collaboration impacts service innovation 加固还是恶化？揭示员工和人工智能协作如何影响服务创新

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-12-09 DOI: 10.1016/j.ijinfomgt.2025.103018

Jiaoyang Li , Dan Ding

{"title":"Reinforcement or deterioration？Unraveling how employee and AI collaboration impacts service innovation","authors":"Jiaoyang Li , Dan Ding","doi":"10.1016/j.ijinfomgt.2025.103018","DOIUrl":"10.1016/j.ijinfomgt.2025.103018","url":null,"abstract":"<div><div>Integrating Artificial Intelligence (AI) into service sectors is increasingly prevalent, yet the effects of employee-AI collaboration on service innovation fail to reach a consensus. To bridge this research gap, we conducted two complementary studies by delineating three distinct types of AI in service: mechanical AI for standardization, thinking AI for personalization, and feeling AI for relationalization. The first study, an exploratory experiment with 214 credit card salespeople, examined the impact of employee-AI collaboration on employee innovation. Compared to a no-AI control condition, mechanical AI was found to significantly hinder employee innovation, while thinking AI and feeling AI significantly enhanced innovation. The second study, a confirmatory survey of 246 employees across business and service sectors, integrated role identity theory and social cognitive theory to further uncover the mechanisms and boundary conditions underlying the discovered effects from the first study. Results revealed that mechanical AI undermines innovation through identity deterioration, whereas thinking and feeling AI promote innovation via identity reinforcement. Furthermore, employees’ occupational self-efficacy was shown to significantly strengthen the link between mechanical AI and identity deterioration, and weaken the relationship between thinking AI and identity reinforcement. This study advances research on employee-AI collaboration by elucidating the nuanced effects of distinct types of AI on employee innovation. It also offers practical suggestions for human-centered AI implementation by prioritizing thinking and feeling AI for innovation-driven tasks while limiting mechanical AI to standardized operations, and tailoring AI implementation strategies based on employees’ self-efficacy levels.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103018"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737067","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 artificial intelligence capacity enhance the production system resilience and operational performance? A human-organization-technology fit perspective 人工智能能力如何提高生产系统的弹性和运行性能？人-组织-技术契合的视角

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-12-23 DOI: 10.1016/j.ijinfomgt.2025.103023

Junbin Wang , Yangyan Shi , Xinyu Jiang , V.G. Venkatesh

{"title":"How does artificial intelligence capacity enhance the production system resilience and operational performance? A human-organization-technology fit perspective","authors":"Junbin Wang , Yangyan Shi , Xinyu Jiang , V.G. Venkatesh","doi":"10.1016/j.ijinfomgt.2025.103023","DOIUrl":"10.1016/j.ijinfomgt.2025.103023","url":null,"abstract":"<div><div>Artificial Intelligence (AI) capabilities are increasingly pivotal for enhancing production system resilience in today's volatile business environments. However, the integration of AI technologies with established organizational information processing and decision-making frameworks remains inadequately understood. Grounded in the Human-Organization-Technology (HOT) fit theory, this study investigates how AI capacity positively influences a firm’s operational performance. Using multi-wave survey data collected from 305 manufacturing firms via a professional online platform during the COVID-19 pandemic, we identify critical factors that reinforce this positive effect and elucidate its underlying mechanisms, with particular emphasis on how AI reconfigures organizational information flows and knowledge practices. Partial least squares-based structural equation modeling was employed to test the hypothesized model. The findings reveal a significant positive impact of AI capacity on production system resilience. Furthermore, production system resilience itself exerts a strong positive influence on operational performance. Crucially, production system resilience serves as a key mediating mechanism, through which AI capacity indirectly enhances operational performance. Finally, the degree of fit, conceptualized across task-tool, human-tool, and data-tool dimensions, moderates the positive effect of AI capacity on production system resilience. This research is contextualized within the Chinese manufacturing sector, a major global production hub, and enriches the theoretical discourse on AI capacity and production system resilience from an information management perspective, highlighting its transformative role in organizational information flows, knowledge creation, and data-driven decision processes.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103023"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839233","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

B&S2Vec: Mapping market structure in two-sided platform based on consumers’ purchase trajectories B&S2Vec：基于消费者购买轨迹的双边平台市场结构映射

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-12-23 DOI: 10.1016/j.ijinfomgt.2025.103025

Peng Wu , Shansen Wei , Xian Cheng , Runshi Liu

{"title":"B&S2Vec: Mapping market structure in two-sided platform based on consumers’ purchase trajectories","authors":"Peng Wu , Shansen Wei , Xian Cheng , Runshi Liu","doi":"10.1016/j.ijinfomgt.2025.103025","DOIUrl":"10.1016/j.ijinfomgt.2025.103025","url":null,"abstract":"<div><div>Platform companies must identify their market structure to develop effective growth strategies. This study introduces a method to vector buyers and sellers (B&S2Vec), using network representation learning to automatically extract latent buyer and seller attributes derived from the buyer’s purchase trajectories among thousands of sellers on a two-sided platform. We first construct a large-scale bipartite buyer-seller network by purchase trajectories; and then we compress the network into a low-dimensional representation space to learn complex patterns from the bipartite network by using B&S2Vec; we use t-SNE to obtain market structure visualization by reducing the learned representation vector to obtain the associated 2-dimensional visualization map. Our theoretical and simulation studies show that B&S2Vec effectively identifies market structures. In addition, we demonstrate its efficiency in optimizing marketing campaigns with budget constraints on a real platform. This study contributes to the advancement of research in two-sided platform marketing and market structure analysis.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103025"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839234","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

The impact of creativity on the attitude toward and intention to adopt metaverse social media among youth in developing countries 创造力对发展中国家青年使用虚拟社会媒体的态度和意向的影响

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-12-22 DOI: 10.1016/j.ijinfomgt.2025.103020

Jean Robert Kala Kamdjoug , Serge-Lopez Wamba-Taguimdje , Philippe Jefferson Guessele

{"title":"The impact of creativity on the attitude toward and intention to adopt metaverse social media among youth in developing countries","authors":"Jean Robert Kala Kamdjoug , Serge-Lopez Wamba-Taguimdje , Philippe Jefferson Guessele","doi":"10.1016/j.ijinfomgt.2025.103020","DOIUrl":"10.1016/j.ijinfomgt.2025.103020","url":null,"abstract":"<div><div>Metaverse social media (MSM) is a transformative space for consumers, organizations, and society that fosters creative expression, collaborative value creation, and socio-economic interactions beyond traditional digital platforms. Although the metaverse has garnered increasing attention from scholars and practitioners, few studies have empirically explored how creativity-related beliefs influence youth attitudes and adoption intentions regarding MSM, especially in developing countries, where contextual barriers such as poor internet quality (QIC) exist. Drawing on the technological learning and usage theory and creativity support systems literature, this study conceptualizes attitude toward MSM for creativity (ATMC) as a user’s evaluative belief that metaverse platforms offer rich opportunities for creative exploration, innovation, and self-expression. We focus on three attitudinal dimensions (attitude toward success [ATS], attitude toward failure [ATF], and attitude toward the learning process [ATL]) and find that all three influence ATMC, which is moderated by QIC, which, in turn, drives the intention to adopt MSM (IMSM). Using Cameroon as the context and adopting a cross-sectional field research design, we employ a multi-analytical hybrid technique that combines structural equation modeling and artificial neural networks to evaluate our research model using a sample of 144 users. The results show that ATS and ATL are critical factors influencing ATMC; these can effectively influence consumer IMSM. QIC moderates the relationships between ATF, ATL, and ATMC. We contribute to the theoretical understanding of active youth attitudes and intentions toward metaverse technology in developing countries and offer practical guidance on how to encourage the active adoption of this technology to foster creativity.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103020"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839297","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