International Journal of Information Management最新文献_第7页

Voices that captivate: The impact of AI-generated voiceover on video Ad engagement 迷人的声音：人工智能生成的画外音对视频广告参与度的影响

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-12-01 Epub Date: 2025-08-04 DOI: 10.1016/j.ijinfomgt.2025.102962

Yin Bai, Zhengbang Xue, Min Zhang, Qingmei Tan, Yiwei Li

With the rise of short video platforms, marketers are increasingly leveraging these channels for product promotion. Generative AI technology has accelerated ad production, particularly through the use of AI-generated voices. However, the comparative effectiveness of AI versus human voiceover in influencing marketing outcomes remains underexplored, with extent research offering limited guidance for practical advertising production and insufficiently addressing the infringement issues arising from the use of AI-generated celebrity voices. This research addresses this gap through three empirical studies. An analysis of real-world TikTok data reveals that ads featuring AI-generated voice elicit lower levels of consumer engagement compared to those utilizing human voices. Notably, the negative impact of AI-generated voice is mitigated when a lower pitch is employed. In an experimental setting, we further compare the impact of human voice, AI-generated voice, and AI-generated celebrity voice on consumer engagement. The results indicate that AI-generated celebrity voice yield engagement levels comparable to those of human voices. These findings deepen our understanding of how generative AI technology influences consumer responses, highlight the critical role of pitch in enhancing the effectiveness of AI-generated voice. This study also offers practical insights for optimizing short video advertisements through the strategic use of AI-generated voice technology.

随着短视频平台的兴起，营销人员越来越多地利用这些渠道进行产品推广。生成式人工智能技术加速了广告制作，特别是通过使用人工智能生成的声音。然而，人工智能与人类配音在影响营销结果方面的比较有效性仍未得到充分探索，部分研究为实际广告制作提供了有限的指导，也没有充分解决使用人工智能生成的名人配音所产生的侵权问题。本研究通过三个实证研究来解决这一差距。对现实世界TikTok数据的分析表明，与使用人类声音的广告相比，使用人工智能生成声音的广告引起的消费者参与度较低。值得注意的是，使用较低的音调可以减轻人工智能产生的声音的负面影响。在实验环境中，我们进一步比较了人类声音、人工智能生成的声音和人工智能生成的名人声音对消费者参与度的影响。结果表明，人工智能生成的名人声音产生的参与度与人类声音相当。这些发现加深了我们对生成式人工智能技术如何影响消费者反应的理解，强调了音高在提高人工智能生成语音的有效性方面的关键作用。该研究还为通过战略性地使用人工智能生成的语音技术来优化短视频广告提供了实用的见解。

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引用次数: 0

How and when AI-driven capabilities foster organizational sustainability: A moderated mediation analysis of digital literacy and green HRM 人工智能驱动的能力如何以及何时促进组织的可持续性：数字素养和绿色人力资源管理的调节中介分析

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

International Journal of Information Management

Pub Date : 2025-12-01 Epub Date: 2025-07-19 DOI: 10.1016/j.ijinfomgt.2025.102956

Adnan Ali , Qian Yang , Afzaal Ali , Zeeshan Ali , Muhammad Noman

Researchers and practitioners widely view artificial intelligence-driven (AI) capabilities as the future of transforming organizations toward sustainability and making the world more sustainable. However, their crucial role and the specific mechanisms through which they influence organizational sustainability (OS) across three key dimensions—economic, environmental, and social performance—remain underexplored in the literature. To address this gap, this study adopting dynamic capability theory proposes a moderated mediation (MODMED) model that investigates the relationship between AI competencies OS sustainability and how this relationship is mediated by green human resource management (GHRM) and moderated by digital literacy. Using a sample of 310 Chinese firms, our results show the positive influence of AI capabilities on OS and the mediating role of GHRM. The MODMED analysis further reveals that digital literacy strengthens the indirect link between AI capabilities and OS via GHRM. This study offers fresh insights into how firms can effectively leverage AI capabilities, with the support of GHRM and digital literacy to drive OS.

研究人员和实践者普遍认为，人工智能驱动（AI）的能力是将组织转变为可持续发展和使世界更可持续发展的未来。然而，它们在三个关键维度（经济、环境和社会绩效）上影响组织可持续性（OS）的关键作用和具体机制，在文献中仍未得到充分探讨。为了解决这一差距，本研究采用动态能力理论提出了一个有调节的中介（MODMED）模型，该模型研究了人工智能能力与可持续性之间的关系，以及这种关系如何被绿色人力资源管理（GHRM）中介和数字素养调节。以310家中国企业为样本，我们的研究结果显示了人工智能能力对操作系统的正向影响以及GHRM的中介作用。MODMED分析进一步揭示，数字素养通过GHRM加强了人工智能能力与操作系统之间的间接联系。这项研究为企业如何在GHRM和数字素养的支持下有效利用人工智能能力来驱动操作系统提供了新的见解。

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引用次数: 0

Do cute language style chatbots make consumers more unethical? 可爱的语言风格聊天机器人会让消费者更不道德吗？

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

International Journal of Information Management

Pub Date : 2025-12-01 Epub Date: 2025-06-26 DOI: 10.1016/j.ijinfomgt.2025.102941

Jialiang Chen , Wenxin Ke , Yin Wu , Jian Zhang

With the rapid development of artificial intelligence technologies, offline retailers are increasingly adopting chatbots with a cute language style to enhance customer service experiences. Although such chatbots have shown potential in improving customer satisfaction, their impact on consumer unethical behavior remains underexplored. This research aims to investigate the influence of chatbots with a cute language style on consumer unethical behavior and its underlying mechanisms. Across four experimental studies (N = 436), the results demonstrate that cute language style chatbots can increase consumer unethical behavior by enhancing the consumer’s moral self-concept. Furthermore, the findings reveal that avatar type moderates the effect of chatbot language style on moral self-concept. Emotional arousal is also identified as a psychological mechanism underlying the relationship between chatbot language style and unethical behavior. These findings not only advance our understanding of the unintended consequences of deploying chatbots with cute features but also offer practical insights for offline retailers in designing and implementing chatbot services.

随着人工智能技术的快速发展，线下零售商越来越多地采用语言风格可爱的聊天机器人来提升客户服务体验。尽管这些聊天机器人在提高客户满意度方面显示出潜力，但它们对消费者不道德行为的影响仍未得到充分探讨。本研究旨在探讨具有可爱语言风格的聊天机器人对消费者不道德行为的影响及其潜在机制。通过四项实验研究（N = 436），结果表明，可爱语言风格的聊天机器人可以通过增强消费者的道德自我概念来增加消费者的不道德行为。此外，研究结果还表明，虚拟化身类型会调节聊天机器人语言风格对道德自我概念的影响。情绪唤起也被认为是聊天机器人语言风格与不道德行为之间关系的一种心理机制。这些发现不仅促进了我们对部署具有可爱功能的聊天机器人的意外后果的理解，而且为线下零售商设计和实施聊天机器人服务提供了实用的见解。

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引用次数: 0

Identity discrepancy in digital transformation: The case of a technology company 数字化转型中的身份差异：以一家科技公司为例

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

International Journal of Information Management

Pub Date : 2025-12-01 Epub Date: 2025-07-24 DOI: 10.1016/j.ijinfomgt.2025.102959

Sixuan Zhang, Fang Su

Recent information systems (IS) studies have explored the relationship between organizational identity and digital transformation (DT), focusing either on the original identity or the new identity. However, at the early stages of DT, these identities often coexist, and neglecting one may introduce bias. To address this gap, our study investigates how identity discrepancy—the misalignment between the original and new identity—impacts DT success. Through an in-depth case study of TechCo (a pseudonym), a Chinese technology firm, we demonstrate that identity discrepancy contributed to DT failure by triggering reckless expansion and excessive innovation. These actions, in turn, led to identity ambiguity and severe financial difficulties. Our findings advance the literature on DT and organizational identity by revealing the mechanisms through which identity discrepancy fosters ambiguity and undermines transformation efforts.

最近的信息系统（IS）研究探索了组织身份与数字转型（DT）之间的关系，重点关注原始身份或新身份。然而，在DT的早期阶段，这些身份往往并存，忽视其中一个可能会引入偏见。为了解决这一差距，我们的研究调查了身份差异-原始身份和新身份之间的不一致-如何影响DT成功。通过对中国科技公司TechCo（化名）的深入案例研究，我们发现身份差异通过引发鲁莽扩张和过度创新而导致DT失败。这些行动反过来又导致身份模糊和严重的财政困难。我们的研究结果通过揭示身份差异促进歧义和破坏转型努力的机制，推进了关于DT和组织认同的文献。

引用次数: 0

When generative AI messes up:How politeness and attribution shape user reactions to hallucinations 当生成人工智能出现问题时：礼貌和归因如何影响用户对幻觉的反应

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-12-01 Epub Date: 2025-08-02 DOI: 10.1016/j.ijinfomgt.2025.102958

Hayeon Kim, Sungwoo Seo, Sang Woo Lee

This study employs the Stimulus-Organism-Response (SOR) model to examine how Generative AI response strategies to hallucinations affect users' continuance-intention through authenticity and tolerance. Through a within-subject experiment involving 400 participants, the study analyzed the effects of politeness (Apology vs. Gratitude) and attribution (Internal/External) strategies across faithfulness and factuality hallucinations. The results indicate that the Apology × Internal Attribution strategy is most effective in enhancing authenticity and tolerance. Mediation analysis revealed distinct psychological pathways, whereby in faithfulness hallucination, both authenticity and tolerance mediate continuance intention, whereas in factuality hallucination, only authenticity serves as a significant mediator. These findings suggest that AI providers should develop differentiated response strategies based on hallucination type, with internal attribution and explicit responsibility acknowledgment being crucial for maintaining user trust.

本研究采用刺激-有机体-反应（SOR）模型，考察了生成式人工智能对幻觉的反应策略如何通过真实性和耐受性影响用户的持续意图。通过一项涉及400名参与者的受试者内实验，该研究分析了礼貌（道歉vs.感激）和归因（内部/外部）策略对忠诚和事实幻觉的影响。结果表明，道歉×内部归因策略在提高真实性和容忍度方面最为有效。中介分析揭示了不同的心理通路，即在忠实幻觉中，真实性和容忍度同时中介延续意愿，而在事实幻觉中，只有真实性起显著中介作用。这些发现表明，人工智能提供商应根据幻觉类型制定差异化的应对策略，内部归因和明确的责任承认对于维持用户信任至关重要。

引用次数: 0

Culture and morphing the real world into the virtual world: Introduction to the special issue 文化与将现实世界转变为虚拟世界：特刊导言

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2025-12-01 Epub Date: 2025-07-31 DOI: 10.1016/j.ijinfomgt.2025.102961

Michel Laroche

引用次数: 0

From what (motives) to what (outcomes) of relationships with artificially intelligent voice assistants 从与人工智能语音助手的关系（动机）到（结果）

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

International Journal of Information Management

Pub Date : 2025-12-01 Epub Date: 2025-07-23 DOI: 10.1016/j.ijinfomgt.2025.102953

Richali Jain, Dr. Ajay Kumar

This study holistically examined the interaction between humans and voice assistants (VAs), addressing a wide range of factors that elucidate the motives for their use and the potential relational, behavioral, and functional outcomes. This study conceptualizes parasocial relationship (PSR) as a relational outcome of motives for VA usage. The outcomes of PSR, including continuous usage intention, conversational commerce intention, and word of mouth, were analyzed. Furthermore, this study investigated the moderating effects of the VA voice type and users’ social anxiety. A mixed-method approach was employed across four studies. Study 1 explored VA usage motives through in-depth interviews. In Studies 2 and 3, Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the conceptual model and the moderating role of social anxiety. Study 4 used an experimental approach to examine the moderating influence of VA voice type (synthetic vs. human). Study 1 identified six motives for using VAs: entertainment, information seeking, life efficiency, social interaction, personal identity, and virtual interaction for escaping from reality (VIER). Study 2 revealed that social interaction, VIER, and life efficiency motives promote PSR with VAs, leading to conversational commerce intention, continuance usage intention, and positive word-of-mouth. Study 3 demonstrated that social anxiety amplifies the impact of the social interaction motive on PSR with VAs. Study 4 found that individuals with social interaction and VIER motives are more likely to develop parasocial connections with VAs featuring human voices rather than synthetic ones. This study offers industry practitioners and marketers significant insights to enhance users’ PSR by addressing their motives to achieve desired behavioral outcomes.

本研究全面考察了人类与语音助手（VAs）之间的互动，解决了阐明其使用动机和潜在关系、行为和功能结果的各种因素。本研究将副社会关系（PSR）概念化为VA使用动机的相关结果。我们分析了PSR的结果，包括持续使用意愿、会话商务意愿和口碑。此外，本研究还探讨了语音类型对用户社交焦虑的调节作用。四项研究采用混合方法。研究1通过深度访谈探讨VA使用动机。研究2和研究3采用偏最小二乘结构方程模型（PLS-SEM）检验社交焦虑的概念模型和调节作用。研究4采用实验方法检验了VA语音类型（合成与真人）的调节作用。研究1确定了使用虚拟现实的六个动机：娱乐、信息寻求、生活效率、社会互动、个人身份和逃避现实的虚拟互动（VIER）。研究2显示，社会互动动机、VIER动机和生活效率动机促进PSR与VAs，导致会话商业意愿、持续使用意愿和正面口碑。研究3表明，社交焦虑放大了社会互动动机对VAs患者PSR的影响。研究4发现，有社会互动和VIER动机的个体更有可能与人声而不是合成声音的人工智能发展出准社会联系。这项研究为行业从业者和营销人员提供了重要的见解，通过解决用户的动机来实现预期的行为结果，从而提高用户的PSR。

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引用次数: 0

How social media influencer makes popular marketing videos? An empirical analysis from the multimodal data 社交媒体影响者如何制作受欢迎的营销视频？基于多模态数据的实证分析

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

International Journal of Information Management

Pub Date : 2025-12-01 Epub Date: 2025-07-23 DOI: 10.1016/j.ijinfomgt.2025.102952

Jingchun Zhang, Boshi Tian

The growing prominence of Social Media Influencers (SMIs) underscores the imperative of understanding the mechanisms underlying video design elements. Addressing the paucity of research on interactions between multimodal components, this study employs an expanded signaling theory framework. We conduct a quantitative analysis of a multimodal SMI video dataset, supplemented by semi-structured interviews, to systematically examine the impact of cover and audio features on SMI performance while exploring the moderating role of danmaku volume. Both quantitative and qualitative findings confirm significant interactions among multimodal elements. This research advances methodological integration by unifying multimodal data within a single analytical model, thereby making substantial contributions to the study of multimodal interactions. Theoretically, it extends signaling theory through the lens of multi-signal interactions and qualitatively elucidates the operational mechanisms of these elements. Practically, it provides actionable insights for key stakeholders in the online video ecosystem, holding significant theoretical and managerial implications for strategic decision-making in online video dissemination.

社交媒体影响者（SMIs）的日益突出强调了理解视频设计元素背后机制的必要性。针对多模态组分之间相互作用研究的不足，本研究采用了一个扩展的信号理论框架。我们对一个多模态SMI视频数据集进行了定量分析，辅以半结构化访谈，系统地研究了封面和音频特征对SMI表现的影响，同时探索了弹库体积的调节作用。定量和定性结果都证实了多模态元素之间的显著相互作用。本研究通过将多模态数据统一到一个单一的分析模型中，从而促进了方法的整合，从而对多模态相互作用的研究做出了重大贡献。从理论上讲，它通过多信号相互作用的视角扩展了信号理论，并定性地阐明了这些要素的运作机制。实际上，它为在线视频生态系统中的关键利益相关者提供了可操作的见解，对在线视频传播的战略决策具有重要的理论和管理意义。

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引用次数: 0

Customer reactions to generative AI vs. real images in high-involvement and hedonic services 在高参与和享乐服务中，客户对生成人工智能与真实图像的反应

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

International Journal of Information Management

Pub Date : 2025-12-01 Epub Date: 2025-07-22 DOI: 10.1016/j.ijinfomgt.2025.102954

Daniel Belanche , Sergio Ibáñez-Sánchez , Pau Jordán , Sergio Matas

Given the emerging opportunities of generative AI for business and marketing, many companies are wondering whether they should use images created through generative AI for commercial purposes. Prior research on hospitality communication has not solved this issue, as AI-generated images are occasionally promoted as effective marketing tools across various service contexts, while other scholars caution against their use due to the significant concerns they may trigger among consumers. Following a mixed-methods approach to find boundary conditions, our research reveals that consumers prefer hospitality services advertised with real images, rather than those featuring AI-generated images. Nevertheless, this effect is moderated by two key factors. In particular, the research reveals that the negative influence of using generative AI images on intentions to use and recommend the service are strengthened for hedonic rather than utilitarian services, and for highly rather than lowly involved customers. A qualitative study further explores the reasons behind this rejection, highlighting that customers perceive companies using AI-generated images as impersonal, less professional, lacking credibility, and potentially misleading, as they impede customers’ ability to envision the actual experience. Implications for management suggest that, while generative AI holds promise for enhancing communication, companies should use AI-generated images with caution. The discussion also proposes future research directions to explore the broader implications of AI use in marketing.

鉴于生成式人工智能在商业和营销方面的新机会，许多公司都在考虑是否应该将生成式人工智能创建的图像用于商业目的。之前对酒店沟通的研究并没有解决这个问题，因为人工智能生成的图像偶尔会在各种服务环境中被推广为有效的营销工具，而其他学者则警告不要使用它们，因为它们可能会引发消费者的严重担忧。通过混合方法寻找边界条件，我们的研究表明，消费者更喜欢用真实图像广告的酒店服务，而不是那些以人工智能生成的图像为特色的服务。然而，两个关键因素缓和了这种影响。特别是，研究表明，使用生成式人工智能图像对使用和推荐服务的意图的负面影响在享乐服务而不是功利服务中得到加强，在高度参与而不是低参与的客户中得到加强。一项定性研究进一步探讨了这种拒绝背后的原因，强调客户认为公司使用人工智能生成的图像是非个人的、不专业的、缺乏可信度的，并且可能具有误导性，因为它们阻碍了客户想象实际体验的能力。对管理的影响表明，虽然生成式人工智能有望加强沟通，但企业应谨慎使用人工智能生成的图像。讨论还提出了未来的研究方向，以探索人工智能在营销中应用的更广泛影响。

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引用次数: 0

Device and risk-avoidance behavior in the context of cybersecurity phishing attacks 网络安全网络钓鱼攻击背景下的设备和风险规避行为

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

International Journal of Information Management

Pub Date : 2025-10-01 Epub Date: 2025-05-19 DOI: 10.1016/j.ijinfomgt.2025.102919

Naama Ilany-Tzur , Lior Fink

Phishing has been the most common type of cybercrime in recent years. The fact that successful phishing attempts require victims to collaborate with their attackers highlights the importance of identifying factors that influence users’ avoidance behavior. Drawing from evidence that mobile users process information differently than personal computer (PC) users, this research suggests that the device used may influence users’ risk-avoidance behavior, as manifested in their tendency to avoid clicking on potentially risky messages. Indeed, three studies suggest that mobile users are more risk-avoidant than PC users. Specifically, analyzing data from a cybersecurity company regarding ∼500,000 URL requests in a sample of household networks, we show that mobile devices are less likely than PCs to access unsafe URLs. Next, in two online controlled experiments in which device and URL risk levels were randomly assigned, we show that mobile users are less likely than PC users to click on a URL in a phishing-like message. Notably, this difference is observed for lower-risk URLs, whereas PC and mobile users display similar risk-avoidance tendencies in the presence of highly risky URLs. This work contributes to the mobile use literature, as well as to developing information systems theory regarding technology-threat avoidance, by showing that the device used is a contextual factor influencing users’ susceptibility to phishing attacks.

网络钓鱼是近年来最常见的网络犯罪类型。成功的网络钓鱼尝试需要受害者与攻击者合作，这一事实突出了识别影响用户回避行为的因素的重要性。有证据表明，移动用户处理信息的方式与个人电脑（PC）用户不同，这项研究表明，所使用的设备可能会影响用户的风险规避行为，这表现在他们倾向于避免点击潜在的风险信息。事实上，有三项研究表明，手机用户比PC用户更倾向于规避风险。具体来说，通过分析一家网络安全公司关于家庭网络样本中约50万个URL请求的数据，我们发现移动设备访问不安全URL的可能性低于pc。接下来，在两个随机分配设备和URL风险级别的在线控制实验中，我们发现移动用户比PC用户更不可能点击类似网络钓鱼的邮件中的URL。值得注意的是，这种差异是在低风险url中观察到的，而PC和移动用户在高风险url中表现出类似的风险规避倾向。通过表明所使用的设备是影响用户对网络钓鱼攻击易感性的上下文因素，这项工作有助于移动使用文献，以及开发有关技术威胁避免的信息系统理论。

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引用次数: 0