Information & Management最新文献

英文中文

Agentic Artificial Intelligence as a New Frontier in Information Systems: Promise, Peril, and Research Opportunities 作为信息系统新前沿的人工智能：希望、危险和研究机会

IF 9.9 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2026-02-03 DOI: 10.1016/j.im.2026.104317

Naveen Kumar, Xiahua Wei, Han Zhang

引用次数: 0

Multimodal Chain-of-Thought Reasoning with Large Language Models to Protect Children from Age-Inappropriate Apps 多模态思维链推理与大语言模型，以保护儿童免受年龄不合适的应用程序

IF 9.9 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2026-01-30 DOI: 10.1016/j.im.2026.104315

, Bing Liu, Minglei Yin, Yilu Zhou, Xin Li

引用次数: 0

AI automation and AI opacity: The effects on threat and response appraisal 人工智能自动化和人工智能不透明度：对威胁和反应评估的影响

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2026-01-24 DOI: 10.1016/j.im.2026.104314

Hao Li , Chunhong Guo , Peter Ping Li , Fangbai Song

Job threats from artificial intelligence (AI) have become a hot issue in both theory and practice, but we still know little about how AI automation and AI opacity will synergistically generate job threats and which adaptive behavior employees will adopt in the face of AI threats. Using technology threat avoidance theory as a theoretical framework, we construct a comprehensive framework where AI automation and AI opacity interact to influence perceived AI job threat and thus inducing knowledge acquisition and knowledge hiding, while examining the conditional effects of regulatory focus. We propose that AI automation and AI opacity play a synergistic role in influencing the perceived AI job threat, which pushes employees to engage in knowledge acquisition behavior, especially among employees with the promotion focus, and knowledge hiding behavior, especially for employees with the prevention focus. Specifically, two independent studies support our hypotheses. Our research not only provides a more holistic explanation of how AI shapes perceived AI job threat, but also provides new insights into the study of employees’ adaptive behavior due to AI threats, thereby expanding existing research on IS threats.

人工智能（AI）带来的工作威胁已经成为理论和实践中的热点问题，但我们对人工智能自动化和人工智能不透明性如何协同产生工作威胁以及员工在面对AI威胁时会采取何种适应性行为知之甚少。以技术威胁规避理论为理论框架，构建了人工智能自动化和人工智能不透明性相互作用影响感知的人工智能工作威胁的综合框架，从而诱导知识获取和知识隐藏，同时考察了监管焦点的条件效应。我们认为，人工智能自动化和人工智能不透明性在影响感知到的人工智能工作威胁方面发挥协同作用，推动员工（尤其是促进型员工）从事知识获取行为，推动员工（尤其是预防型员工）从事知识隐藏行为。具体来说，有两项独立研究支持我们的假设。我们的研究不仅对人工智能如何塑造感知到的人工智能工作威胁提供了更全面的解释，而且为研究员工在人工智能威胁下的适应行为提供了新的见解，从而扩展了对IS威胁的现有研究。

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引用次数: 0

The role of dynamic managerial capabilities and underlying personality traits in digital transformations: Insights from European C-level executives 动态管理能力和潜在人格特征在数字化转型中的作用：来自欧洲c级高管的见解

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2026-01-19 DOI: 10.1016/j.im.2026.104307

Dennis Renee Metzler , Tim Scheerschmidt

This study explores the enactment of dynamic managerial capabilities in the context of digital transformation. Drawing on 24 in-depth interviews with C-level executives, we present a detailed framework that illustrates how dynamic managerial capabilities are enacted through specific managerial activities and associated actions. Furthermore, we identify relevant personality traits that can support the enactment of each individual capability. Based on our findings, we extend the established triad of sensing, seizing, and transforming by introducing a fourth dynamic managerial capability: scrutinizing. This complementary capability captures the evaluative actions required to assess digital transformation endeavors and identify the need for further action. Thus, this study contributes to a more nuanced understanding of how individual-level capabilities enable and shape digital transformation in organizations.

本研究探讨数位转型背景下动态管理能力的制定。根据对24位c级高管的深度访谈，我们提出了一个详细的框架，说明动态管理能力是如何通过具体的管理活动和相关行动制定的。此外，我们确定了相关的人格特征，可以支持每个个体能力的制定。基于我们的发现，我们通过引入第四种动态管理能力：审查，扩展了已经建立的感知、抓住和转化的三位一体。这种补充性的能力捕获了评估数字转换努力和确定进一步行动的需要所需的评估行动。因此，本研究有助于更细致地理解个人层面的能力如何在组织中实现和塑造数字化转型。

引用次数: 0

Enterprise led or hospital led: Types of online healthcare platforms and patient choice 企业主导还是医院主导：在线医疗平台的类型和患者的选择

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2026-01-16 DOI: 10.1016/j.im.2026.104304

Zhao Han , Gang Du

Internet-based medical consultation has become a new channel for care for patients. They can choose suitable online healthcare platforms (OHPs) according to their needs. However, little is known about how patients make such choices and why they choose certain OHPs. Focusing on OHP types and patient choices, this study first carried out three online virtual experimental studies (n=871) and one behavioral survey (n=201). The results indicated that patients with different disease severity show significant differences in intention to use hospital-led or enterprise-led OHPs. When seeking advice from others, patients with low disease severity are more likely to choose hospital-led OHPs, and perceived convenience plays a mediating role. Patients with high disease severity have higher perceived convenience and expected expectations for enterprise-led OHPs. Subsequently, we conducted semi-structured interviews (n=18) to confirm and complement the quantitative study results. This study broadens the research perspective on OHPs, enriches the research on online consultation targets, and provides theoretical guidance for OHPs’ managers to improve patient usage rates.

基于互联网的医疗咨询已成为照顾患者的新渠道。他们可以根据自己的需要选择合适的在线医疗保健平台。然而，对于患者如何做出这样的选择以及他们为什么选择某些ohp，人们知之甚少。针对OHP类型和患者选择，本研究首先开展了3项在线虚拟实验研究（n=871）和1项行为调查（n=201）。结果表明，不同疾病严重程度的患者使用医院主导或企业主导ohp的意愿存在显著差异。在寻求他人建议时，疾病严重程度低的患者更有可能选择医院主导的ohp，并且感知便利性起中介作用。疾病严重程度高的患者对企业主导的ohp有更高的感知便利性和期望。随后，我们进行了半结构化访谈（n=18），以确认和补充定量研究结果。本研究拓宽了ohp的研究视角，丰富了在线会诊目标的研究，为ohp管理者提高患者使用率提供了理论指导。

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引用次数: 0

The impact of ambidexterity on bid-winning performance: Evidence from an online crowdsourcing platform 两面性对中标绩效的影响：来自在线众包平台的证据

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2026-01-16 DOI: 10.1016/j.im.2026.104305

Fangze Dai , Lingfeng Dong , Liqiang Huang , Yu Tu

This study examines the differential effects of two forms of ambidexterity—unbalanced and combined (i.e., the balance between exploitation and exploration)—on bid-winning performance within online crowdsourcing platforms. Drawing on longitudinal archival data from a leading Chinese platform and applying an econometric modeling approach, we find that unbalanced ambidexterity exhibits an inverse U-shaped relationship with bid-winning performance, indicating that moderate imbalance enhances performance while extreme imbalance diminishes it. In contrast, combined ambidexterity exerts a consistently positive influence. Furthermore, we examine the moderating roles of expertise level, monetary reward, and competitive intensity guided by the performance theory. Expertise level attenuates both the curvilinear effect of unbalanced ambidexterity and the positive effect of combined ambidexterity. Monetary reward weakens the benefits of combined ambidexterity but does not significantly moderate unbalanced ambidexterity. Interestingly, competitive intensity amplifies the inverse U-shaped effect of unbalanced ambidexterity while reducing the positive effect of combined ambidexterity. These findings contribute to ambidexterity theory by highlighting its dynamic and context-dependent nature and offer practical insights for contractors and platform operators seeking to optimize strategic flexibility in competitive digital environments.

本研究考察了两种形式的两面性——不平衡和结合（即利用和探索之间的平衡）对在线众包平台中标绩效的不同影响。利用国内领先平台的纵向档案数据，运用计量经济建模方法，我们发现不平衡的双灵巧性与中标绩效呈反u型关系，表明适度不平衡提高了中标绩效，而极度不平衡则降低了中标绩效。相比之下，复合型双灵巧性则具有持续的积极影响。在绩效理论的指导下，我们进一步研究了专业水平、货币报酬和竞争强度的调节作用。专业水平对非平衡双灵巧的曲线效应和组合双灵巧的正向效应均有减弱作用。金钱奖励削弱了组合双灵巧的收益，但对不平衡双灵巧没有显著调节作用。有趣的是，竞争强度放大了非平衡双灵巧的反u型效应，而降低了组合双灵巧的正效应。这些发现通过强调其动态和环境依赖的性质，为二元性理论做出了贡献，并为承包商和平台运营商在竞争激烈的数字环境中寻求优化战略灵活性提供了实际见解。

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引用次数: 0

The impact of generative artificial intelligence on software development performance: a study based on the theory of technology dominance 生成式人工智能对软件开发绩效的影响：基于技术优势理论的研究

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2026-01-16 DOI: 10.1016/j.im.2026.104306

Tsung-Sheng Chang, Lan-Gui Huang

Artificial intelligence (AI) tools can aid significantly in information system development. However, there has yet to be a comprehensive study on how programmers’ reliance on AI tools affects system development performance. This research, grounded in the theory of technology dominance, introduces the concept of AI reliance and integrates various factors such as task–technology fit, personal task experience, and knowledge integration to develop a model predicting the performance of information system development. This study employs quantitative methods to survey program development employees in Taiwan’s top 500 companies and the software service industry. Partial least squares structural equation modeling is used to evaluate the model, confirming the research hypotheses and the relationships between variables. This research confirms that AI reliance significantly impacts performance in information system development. This finding offers practical implications for information system developers and is an essential reference for enterprises seeking to optimize their strategies for using artificial intelligence tools.

人工智能（AI）工具可以在信息系统开发中发挥重要作用。然而，关于程序员对人工智能工具的依赖如何影响系统开发性能，目前还没有全面的研究。本研究以技术优势理论为基础，引入人工智能依赖的概念，整合任务-技术契合度、个人任务经验、知识整合等多种因素，构建预测信息系统开发绩效的模型。本研究采用定量方法，对台湾500强企业及软体服务业的程式开发员工进行调查。采用偏最小二乘结构方程模型对模型进行评价，确定研究假设和变量之间的关系。本研究证实，对人工智能的依赖显著影响信息系统开发的绩效。这一发现为信息系统开发人员提供了实际意义，对于寻求优化其使用人工智能工具的策略的企业来说是必不可少的参考。

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引用次数: 0

To facilitate consumer reviews or not? The role of capacity constraint 是否方便消费者评论？容量约束的作用

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2026-01-13 DOI: 10.1016/j.im.2026.104303

Musen Xue , Bei Zhang , Xiaojie Sun

In a dual-channel structure, consumer reviews impact product demand and capacity allocation, which are crucial for operational decisions. The oversight of capacity constraints in existing literature has prompted this study to investigate its impact on the preference of chain members for consumer review strategies, specifically considering hindering and facilitating strategies. Findings show strategy preference hinges on capacity constraints and consumers’ updated quality perception from online reviews. Particularly, opting to facilitate consumer reviews in the online channel can emerge as the optimal strategy for the supplier when confronted with moderate capacity and negative product quality perceptions from online reviews. Our results further indicate that capacity constraints play a pivotal role in shaping supply chain members’ consensus on consumer review strategy preferences. While moderate capacity leads supply chain members to favor a hindering strategy when consumer reviews trigger poor quality perception, they converge on a facilitating strategy if consumers’ updated perception, although relatively low, is framed within a context of perceived good product quality.

在双渠道结构中，消费者评论影响产品需求和产能分配，这对运营决策至关重要。现有文献中对能力约束的忽视促使本研究调查其对连锁成员对消费者审查策略偏好的影响，特别是考虑阻碍和促进策略。研究结果显示，策略偏好取决于容量限制和消费者从在线评论中获得的最新质量感知。特别是，当供应商面临容量适中和在线评论对产品质量的负面看法时，选择在在线渠道中促进消费者评论可能成为供应商的最佳策略。我们的研究结果进一步表明，产能约束在形成供应链成员对消费者评论策略偏好的共识方面发挥了关键作用。虽然适度的产能导致供应链成员在消费者评论引发不良质量感知时倾向于阻碍策略，但如果消费者更新的感知（尽管相对较低）是在感知到良好产品质量的背景下构建的，他们会倾向于促进策略。

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引用次数: 0

Knowledge contribution on enterprise social media and employee well-being 企业社交媒体知识贡献与员工幸福感

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2026-01-08 DOI: 10.1016/j.im.2026.104302

Mohamed Hédi Charki , Nabila Boukef , Jose Benitez , Sangseok You , Ajay Mehra , Lionel P. Robert Jr.

Enterprise social media (ESM) is a critical sociotechnical platform for organizational knowledge sharing. While research has extensively studied the antecedents of knowledge contribution on ESM, the consequences for the contributor have received little attention. We address this by investigating how knowledge-sharing behaviors on ESM affect the psychological well-being of contributors. Our study draws on data from surveys and uses digital trace data from a corporate ESM to supplement the analysis. Crucially, we distinguish the effects of work-related knowledge contributions (e.g., help with a work project) from those of nonwork-related contributions (e.g., advice on recovering after running a semi-marathon). This study offers a new, contributor-centric perspective on ESM, demonstrating its value beyond knowledge seeking. We also show that nonwork-related knowledge contributions are a significant positive trigger for employee well-being. Finally, we reveal that contributing knowledge on ESM is positively associated with the contributor’s own learning, a process that goes beyond vicarious learning.

企业社会媒体（ESM）是组织知识共享的重要社会技术平台。虽然研究广泛地研究了知识贡献在ESM上的前因，但对贡献者的影响却很少受到关注。我们通过调查ESM上的知识共享行为如何影响贡献者的心理健康来解决这个问题。我们的研究从调查中获取数据，并使用来自企业ESM的数字跟踪数据来补充分析。至关重要的是，我们区分了与工作相关的知识贡献（例如，帮助完成一个工作项目）和与工作无关的贡献（例如，在跑完半马拉松后如何恢复的建议）的影响。本研究提供了一种新的、以贡献者为中心的ESM视角，展示了其超越知识寻求的价值。我们还表明，与工作无关的知识贡献是员工幸福感的显著积极触发因素。最后，我们发现，在ESM上贡献知识与贡献者自己的学习呈正相关，这一过程超越了替代学习。

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引用次数: 0

Dyadic privacy management: The influence of dyadic privacy norms on the disclosure of co-owned information in romantic relationships 二元隐私管理：二元隐私规范对恋爱关系中共同拥有信息披露的影响

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2026-01-03 DOI: 10.1016/j.im.2026.104301

Anne Zöll , Anjuli Franz , Ofir Turel

Previous research has emphasized online decisions by individual owners about disclosure of private information. Less is known about the disclosure of co-owned information by multiple owners (e.g., romantic partners) in digital environments, despite such sharing being common and risky. We posit that in such contexts, individuals’ decisions to share co-owned information are shaped not only by their self-centered privacy concerns and perceived benefits, but also by shared (e.g., dyadic) privacy norms. These norms, we posit, act beyond individual-level, self-centered privacy reflections in two significant ways: (1) They directly influence co-owned information disclosure and (2) they influence the weights assigned to individual privacy concerns. We further theorize that dyadic privacy norm accessibility is impacted by social identity salience, which can be manipulated through priming. The findings based on a realistic paradigm largely support our assertions but also produce surprising results. They highlight the need for further study of the role of dyadic privacy norms and social identities in multilevel privacy management.

先前的研究强调了个人所有者关于披露私人信息的在线决策。在数字环境中，多个所有者（如浪漫的伴侣）披露共同拥有的信息的情况鲜为人知，尽管这种共享很常见且有风险。我们假设，在这种情况下，个人分享共同拥有信息的决定不仅受到他们以自我为中心的隐私问题和感知利益的影响，还受到共享（例如，二元）隐私规范的影响。我们认为，这些规范的作用超越了个人层面的、以自我为中心的隐私反思，主要体现在两个方面：(1)它们直接影响共同拥有的信息披露；(2)它们影响赋予个人隐私关注的权重。我们进一步提出，二元隐私规范可及性受到社会身份显著性的影响，而社会身份显著性可以通过启动来操纵。基于现实范式的研究结果在很大程度上支持了我们的断言，但也产生了令人惊讶的结果。他们强调需要进一步研究二元隐私规范和社会身份在多层次隐私管理中的作用。

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