Information & Management最新文献_第2页

Engagement or entanglement? The dual impact of generative artificial intelligence in online knowledge exchange platforms 订婚还是纠缠？生成式人工智能对在线知识交流平台的双重影响

IF 8.2 2区管理学

Information & Management Pub Date : 2025-05-12 DOI: 10.1016/j.im.2025.104178

Aida Sanatizadeh , Yingda Lu , Keran Zhao , Yuheng Hu

{"title":"Engagement or entanglement? The dual impact of generative artificial intelligence in online knowledge exchange platforms","authors":"Aida Sanatizadeh , Yingda Lu , Keran Zhao , Yuheng Hu","doi":"10.1016/j.im.2025.104178","DOIUrl":"10.1016/j.im.2025.104178","url":null,"abstract":"<div><div>Generative artificial intelligence (AI) tools, such as ChatGPT and Gemini, have the potential to substantially transform various domains, particularly platforms centered on information exchange. This study investigates the impact of generative AI on content contribution and knowledge-seeking behavior within online knowledge exchange platforms by leveraging a comprehensive dataset from a leading Q&A community. The results indicate a decrease in engagement levels, as evidenced by fewer posts and users, especially within the technology sector. However, this decline is accompanied by a notable benefit: an enhancement in the quality and complexity of questions, leading to an increased number of visits to these types of posts. Furthermore, our findings show a reduction in the number of questions and answers contributed by users with lower expertise, making communities more efficient. Our research highlights the importance of generative AI tools in the dynamics of knowledge exchange and offers suggestions for platform designers to revitalize their ecosystems to enhance user engagement.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104178"},"PeriodicalIF":8.2,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Why are you? Exploring patients’ behavior in selecting physicians in online health communities 为什么是你？探索在线健康社区中患者选择医生的行为

IF 8.2 2区管理学

Information & Management Pub Date : 2025-05-11 DOI: 10.1016/j.im.2025.104176

Zhuo Sun , Kaiyang Wang , Yan Jin , Zongshui Wang , Ruixian Yang

{"title":"Why are you? Exploring patients’ behavior in selecting physicians in online health communities","authors":"Zhuo Sun , Kaiyang Wang , Yan Jin , Zongshui Wang , Ruixian Yang","doi":"10.1016/j.im.2025.104176","DOIUrl":"10.1016/j.im.2025.104176","url":null,"abstract":"<div><div>This paper examines the factors influencing patients' choice of physicians in OHCs (online health communities), using the ELM (elaboration likelihood model), a classic model of user information processing, as its foundation. We assess physicians' expertise and medical outcomes through the central routes, which includes platform quality and medical quality, and the peripheral routes, which refers to electronic word of mouth (eWOM). We introduce list price, gamification, and high-privacy disease as moderating variables to explore the dynamic decision making scenarios regarding patients' healthcare selection behavior. To validate our hypotheses, data were collected in two phases (November 2022 and August 2024) from 15 major departments of China's largest online health community, HaoDaifu Online, yielding 9123 physician profiles and 18,246 matched patient-physician pairs. Using the panel data, the majority of our hypotheses received support, providing deeper insights into the decision making process behind patients' physician selection and its implications for online medical services.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104176"},"PeriodicalIF":8.2,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 big data analytics capability affect organizational resilience? The moderating role of data-driven organizational culture and agribusiness environmental dynamism 大数据分析能力如何影响组织弹性？数据驱动型组织文化与农业综合企业环境动态的调节作用

IF 8.2 2区管理学

Information & Management Pub Date : 2025-05-11 DOI: 10.1016/j.im.2025.104179

Jinyuan Guo , Jiabao Lin , Jose Benitez

引用次数: 0

Impact of artificial intelligence (AI) on operational performance: The role of dynamic capabilities 人工智能（AI）对运营绩效的影响：动态能力的作用

IF 8.2 2区管理学

Information & Management Pub Date : 2025-05-10 DOI: 10.1016/j.im.2025.104162

David T.W. Wong , Eric W.T. Ngai

{"title":"Impact of artificial intelligence (AI) on operational performance: The role of dynamic capabilities","authors":"David T.W. Wong , Eric W.T. Ngai","doi":"10.1016/j.im.2025.104162","DOIUrl":"10.1016/j.im.2025.104162","url":null,"abstract":"<div><div>This study examines the role of dynamic capabilities (DCs) in the adoption of artificial intelligence (AI) systems in China’s telecommunications industry and their impact on firms’ operational performance. Drawing on DCs theory and the technology–organization–environment (TOE) framework, this study investigates how TOE factors influence DCs for AI system adoption, which subsequently impacts operational performance. It also examines the mediating role of DCs in the relationship between TOE factors and operational performance. Despite numerous studies on AI system adoption, the underlying mechanism of DCs requires further investigation. Survey data were collected from 205 senior executives of telecommunications firms in China. Analysis of the data reveals that TOE factors positively influence DCs for AI system adoption, which in turn have a positive effect on operational performance. Additionally, competitive pressure positively moderates the relationship between technological factors (i.e., technology compatibility and expected benefits) and operational performance. These findings provide managerial and theoretical insights into AI system adoption.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104162"},"PeriodicalIF":8.2,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Exploring the discourse on digital transformation in nonprofit organizations 探索非营利组织数字化转型的话语

IF 8.2 2区管理学

Information & Management Pub Date : 2025-05-05 DOI: 10.1016/j.im.2025.104165

Michele Cipriano , Stefano Za

引用次数: 0

An empirical comparison of prominent theories of social media discontinuance: Toward a synthesized model 社交媒体中断主要理论的实证比较：走向一个综合模型

IF 8.2 2区管理学

Information & Management Pub Date : 2025-05-02 DOI: 10.1016/j.im.2025.104163

Isaac Vaghefi , Ofir Turel , John D'Arcy

{"title":"An empirical comparison of prominent theories of social media discontinuance: Toward a synthesized model","authors":"Isaac Vaghefi , Ofir Turel , John D'Arcy","doi":"10.1016/j.im.2025.104163","DOIUrl":"10.1016/j.im.2025.104163","url":null,"abstract":"<div><div>Research on social media (SM) discontinuance draws on a range of theories and constructs to explain this phenomenon, making it difficult to evaluate the relative predictive strengths of these theories or identify common themes across their explanations. In this paper, we address these challenges by conducting an empirical comparison of eight prominent theories used to study SM discontinuance, based on survey data from 344 SM users. Building on these findings, we performed additional empirical comparisons and conceptual analyses and conducted a Delphi study to develop a proposed synthesized model of SM discontinuance. This model uses the theory of planned behavior as its core framework and incorporates six antecedent categories that reflect shared elements among the constructs from the examined theories. The synthesized model was empirically validated using the survey data, providing a cohesive explanation of key factors driving SM discontinuance. Our findings clarify which theories are most effective for predicting and explaining SM discontinuance and offer a streamlined framework that can serve as a foundation for future research on this topic.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104163"},"PeriodicalIF":8.2,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Heterogeneity in the interaction between mobile channels: Evidence from a large-sample study 移动渠道间交互的异质性：来自大样本研究的证据

IF 8.2 2区管理学

Information & Management Pub Date : 2025-05-02 DOI: 10.1016/j.im.2025.104164

Ziqing Yuan, Hailiang Chen

引用次数: 0

Checking the facts! exploring social media users' sharing of verified COVID-19 information from the comprehensive action determination model 核实事实！从综合行动确定模型出发，探索社交媒体用户对COVID-19验证信息的分享

IF 8.2 2区管理学

Information & Management Pub Date : 2025-05-01 DOI: 10.1016/j.im.2025.104161

Zhenya Tang , Brandon Soltwisch

引用次数: 0

Does the industrial big data environment matter? An evaluation of its effect on the production performance 工业大数据环境重要吗？评价其对生产性能的影响

IF 8.2 2区管理学

Information & Management Pub Date : 2025-04-28 DOI: 10.1016/j.im.2025.104159

Liwen Hou

{"title":"Does the industrial big data environment matter? An evaluation of its effect on the production performance","authors":"Liwen Hou","doi":"10.1016/j.im.2025.104159","DOIUrl":"10.1016/j.im.2025.104159","url":null,"abstract":"<div><div>The widespread deployment of the Internet of Things has created a brand-new digital environment—an industrial big data environment (IBDE) characterized by a multitude of data resources. This study posits that IBDE, which has been commonly neglected in previous research, not only incubates affordance awareness capability, but also incurs data debt (DD), a new type of technical debt. This study uses affordances of manufacturing, manufacturing agility, and manufacturing excellence, together with DD, to parse the mechanism about how IBDE influences the enterprise production performance. We hypothesize that these three mediators are in charge of transmitting the influence of the munificent IBDE on the production performance. Empirical results confirm that IBDE significantly influences the three mediators, which in turn exert significant effects on the production performance. As such, we validate the existence of the mediating effect, and the significance of IBDE on the actions of affordance actualization. Further, despite the overall positive effect of the mediators on performance, the adverse influence of DD nevertheless cannot be neglected. These findings remind enterprises that a balanced development strategy of digital environment is imperative in terms of actualization of the affordances.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104159"},"PeriodicalIF":8.2,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 blockchain technology on competing suppliers on an E-commerce platform b区块链技术对电子商务平台上竞争供应商的影响

IF 8.2 2区管理学

Information & Management Pub Date : 2025-04-28 DOI: 10.1016/j.im.2025.104160

Jiahao Yu , Yuhan Yan , Lu (Monroe) Meng , Rongyi Huang

引用次数: 0