Internet Research最新文献

The double-edged sword of proactive GenAI: how it shapes user usage intention 主动GenAI的双刃剑：它如何塑造用户的使用意图

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research

Pub Date : 2026-09-04 DOI: 10.1108/intr-10-2025-1707

Baozhou Lu,Jun Gao,Chengwei Li

Purpose With the emergence of generative AI (GenAI), proactive services that initiate actions on behalf of users without explicit prompts are becoming increasingly prevalent. Although such services can enhance human-AI interaction, emerging evidence suggests that GenAI proactivity may also elicit adverse user reactions. To reconcile these mixed findings, this research examines why and when GenAI's proactive services positively and negatively influence users' usage intention. Design/methodology/approach Drawing on mind perception theory, we develop a dual-pathway model proposing that increased proactivity simultaneously enhances perceived agency and diminishes perceived control. We further propose that task type (hedonic vs. utilitarian) determines the relative dominance of these two pathways. We test these predictions through two scenario-based experiments. Study 1 examines the dual-pathway model in a health assistant context, whereas Study 2 investigates the moderating role of task type in a shopping assistant context. Findings Study 1 demonstrates that high (vs. low) proactivity simultaneously increases perceived agency and reduces perceived control. Study 2 shows that task type moderates these effects: for the hedonic task, the positive pathway through perceived agency dominates, making high proactivity more favorable; for the utilitarian task, the negative pathway through perceived control prevails, making low proactivity more preferred. Originality/value This research advances the literature on GenAI's proactive services by demonstrating that their double-edged effects operate through parallel enabling and constraining pathways. We also extend mind perception theory by revealing the psychological costs of agency attribution. Practically, the findings offer actionable insights for firms seeking to tailor GenAI functionalities to enhance user experience and foster usage across diverse digital business contexts.

随着生成式人工智能（GenAI）的出现，在没有明确提示的情况下代表用户发起行动的主动服务正变得越来越普遍。尽管这些服务可以增强人类与人工智能的互动，但新出现的证据表明，GenAI的主动性也可能引发不良的用户反应。为了调和这些混杂的发现，本研究考察了GenAI的主动服务对用户使用意愿产生积极和消极影响的原因和时间。根据心理知觉理论，我们建立了一个双途径模型，提出主动性的增加同时增强了感知代理和减少了感知控制。我们进一步提出，任务类型（享乐主义和功利主义）决定了这两种途径的相对优势。我们通过两个基于场景的实验来测试这些预测。研究1考察了健康助理情境下的双通路模型，而研究2考察了任务类型在购物助理情境下的调节作用。研究1表明，高主动性（相对于低主动性）同时增加了感知代理并减少了感知控制。研究2表明，任务类型调节了这些影响：对于享乐任务，通过感知代理的积极途径占主导地位，使高主动性更有利；对于功利主义任务，通过感知控制的消极途径占主导地位，使低主动性更受青睐。本研究通过证明GenAI主动服务的双刃剑效应通过并行的促进和限制途径发挥作用，从而推进了有关GenAI主动服务的文献。我们还通过揭示代理归因的心理成本扩展了心理知觉理论。实际上，研究结果为寻求定制GenAI功能以增强用户体验并促进不同数字业务环境中的使用的公司提供了可操作的见解。

{"title":"The double-edged sword of proactive GenAI: how it shapes user usage intention","authors":"Baozhou Lu,Jun Gao,Chengwei Li","doi":"10.1108/intr-10-2025-1707","DOIUrl":"https://doi.org/10.1108/intr-10-2025-1707","url":null,"abstract":"Purpose With the emergence of generative AI (GenAI), proactive services that initiate actions on behalf of users without explicit prompts are becoming increasingly prevalent. Although such services can enhance human-AI interaction, emerging evidence suggests that GenAI proactivity may also elicit adverse user reactions. To reconcile these mixed findings, this research examines why and when GenAI's proactive services positively and negatively influence users' usage intention. Design/methodology/approach Drawing on mind perception theory, we develop a dual-pathway model proposing that increased proactivity simultaneously enhances perceived agency and diminishes perceived control. We further propose that task type (hedonic vs. utilitarian) determines the relative dominance of these two pathways. We test these predictions through two scenario-based experiments. Study 1 examines the dual-pathway model in a health assistant context, whereas Study 2 investigates the moderating role of task type in a shopping assistant context. Findings Study 1 demonstrates that high (vs. low) proactivity simultaneously increases perceived agency and reduces perceived control. Study 2 shows that task type moderates these effects: for the hedonic task, the positive pathway through perceived agency dominates, making high proactivity more favorable; for the utilitarian task, the negative pathway through perceived control prevails, making low proactivity more preferred. Originality/value This research advances the literature on GenAI's proactive services by demonstrating that their double-edged effects operate through parallel enabling and constraining pathways. We also extend mind perception theory by revealing the psychological costs of agency attribution. Practically, the findings offer actionable insights for firms seeking to tailor GenAI functionalities to enhance user experience and foster usage across diverse digital business contexts.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"19 1","pages":"1-18"},"PeriodicalIF":5.9,"publicationDate":"2026-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 dual impact of technostress on social networking services users' lurking intention: a post-adoption regret perspective 技术压力对社交网络服务用户潜在意图的双重影响：采用后后悔的视角

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research

Pub Date : 2026-09-03 DOI: 10.1108/intr-05-2025-0695

Xiaodan Liu,Mengyao Zhao,Chao Su

Purpose Social networking services provide users with effective tools to connect with others and manage increasingly large social networks. However, users often face a “connectivity paradox,” where the advantages of network expansion are offset by the role stress induced by these technologies. To address this paradox, this study employed the holistic technostress model to investigate the dual effects of technostress on users' lurking intention through the lens of perceived post-adoption regret. Design/methodology/approach Survey data were collected from 641 Chinese WeChat users. The model and hypotheses testing were conducted using SmartPLS 4.0. Findings The findings revealed that challenge technostressors (i.e. social interaction) reduce lurking intention by strengthening perceived tie strength, while hindrance technostressors (i.e. role stress) increase lurking intention by intensifying perceived impression management dissatisfaction. Furthermore, perceived impression management dissatisfaction can heighten perceived post-adoption regret, further amplifying lurking intention. Although perceived tie strength can partially alleviate lurking intention, strong perceived tie strength may paradoxically exacerbate them by increasing perceived post-adoption regret. Originality/value Anchored in the holistic technostress model, this study explores the impacts of challenge and hindrance technostress on users' lurking intention and uncovers the dual effects of social networking services (SNS) technological affordances in the post-adoption stage. Drawing on a role-based theoretical lens, this research further elucidates the underexamined “relationship-maintenance paradox” in the SNS context. By integrating the construct of post-adoption regret, the present study reconceptualizes lurking as a maladaptive coping strategy, which challenges the mainstream scholarly view that frames lurking as a normative and benign user behavior. This theoretical reframing offers an in-depth insight into lurking behaviors, clarifying that such behaviors essentially stem from users' negative emotional responses to role-related technostress.

社交网络服务为用户提供与他人联系和管理日益庞大的社交网络的有效工具。然而，用户经常面临“连接悖论”，即网络扩展的优势被这些技术引起的角色压力所抵消。为了解决这一矛盾，本研究采用整体技术压力模型，通过采用后后悔的视角来考察技术压力对用户潜伏意图的双重影响。设计/方法/方法调查数据来自641名中国b微信用户。使用SmartPLS 4.0进行模型和假设检验。研究发现，挑战性技术压力源（即社会互动）通过增强感知纽带强度来降低潜伏意图，而阻碍性技术压力源（即角色压力）通过增强感知印象管理不满来增加潜伏意图。此外，感知到的印象管理不满可以提高感知到的采用后后悔，进一步放大潜伏的意图。虽然感知到的纽带强度可以部分缓解潜伏意图，但强烈的感知纽带强度可能会通过增加感知到的采用后后悔而矛盾地加剧潜伏意图。本研究以整体技术压力模型为基础，探讨了挑战技术压力和阻碍技术压力对用户潜在意图的影响，揭示了社交网络服务（SNS）技术支持在使用后阶段的双重效应。利用基于角色的理论视角，本研究进一步阐明了社交网络背景下未被充分研究的“关系维持悖论”。通过整合采用后后悔的结构，本研究将潜伏重新定义为一种适应不良的应对策略，挑战了将潜伏视为规范和良性用户行为的主流学术观点。这种理论重构提供了对潜伏行为的深入洞察，澄清了这些行为本质上源于用户对角色相关技术压力的负面情绪反应。

{"title":"The dual impact of technostress on social networking services users' lurking intention: a post-adoption regret perspective","authors":"Xiaodan Liu,Mengyao Zhao,Chao Su","doi":"10.1108/intr-05-2025-0695","DOIUrl":"https://doi.org/10.1108/intr-05-2025-0695","url":null,"abstract":"Purpose Social networking services provide users with effective tools to connect with others and manage increasingly large social networks. However, users often face a “connectivity paradox,” where the advantages of network expansion are offset by the role stress induced by these technologies. To address this paradox, this study employed the holistic technostress model to investigate the dual effects of technostress on users' lurking intention through the lens of perceived post-adoption regret. Design/methodology/approach Survey data were collected from 641 Chinese WeChat users. The model and hypotheses testing were conducted using SmartPLS 4.0. Findings The findings revealed that challenge technostressors (i.e. social interaction) reduce lurking intention by strengthening perceived tie strength, while hindrance technostressors (i.e. role stress) increase lurking intention by intensifying perceived impression management dissatisfaction. Furthermore, perceived impression management dissatisfaction can heighten perceived post-adoption regret, further amplifying lurking intention. Although perceived tie strength can partially alleviate lurking intention, strong perceived tie strength may paradoxically exacerbate them by increasing perceived post-adoption regret. Originality/value Anchored in the holistic technostress model, this study explores the impacts of challenge and hindrance technostress on users' lurking intention and uncovers the dual effects of social networking services (SNS) technological affordances in the post-adoption stage. Drawing on a role-based theoretical lens, this research further elucidates the underexamined “relationship-maintenance paradox” in the SNS context. By integrating the construct of post-adoption regret, the present study reconceptualizes lurking as a maladaptive coping strategy, which challenges the mainstream scholarly view that frames lurking as a normative and benign user behavior. This theoretical reframing offers an in-depth insight into lurking behaviors, clarifying that such behaviors essentially stem from users' negative emotional responses to role-related technostress.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"127 1","pages":"1-24"},"PeriodicalIF":5.9,"publicationDate":"2026-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Sentiment distribution bias in AI-generated review summaries 人工智能生成的评论摘要中的情感分布偏差

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research

Pub Date : 2026-08-25 DOI: 10.1108/intr-10-2025-1756

Fei Wang,Zhecheng Liu,Fang Wang,Zhen Zhu,Shan Wang

Purpose E-commerce platforms increasingly deploy generative AI (GAI) to summarize large volumes of customer reviews. This study examines sentiment distribution bias in platform-provided GAI review summaries, defined as distortion in the relative representation of positive, neutral and negative sentiment compared with their proportional presence in the associated review corpus. Design/methodology/approach Grounded in information theory, we characterize four sentiment distribution bias patterns and develop an input-output framework linking source review characteristics and summary design features to sentiment bias. We analyzed data from an online travel platform covering 847 Tokyo hotels with GAI review summaries linked to 111,115 customer reviews to assess sentiment bias and conducted a complementary experiment to examine downstream consumer responses. Findings The platform's GAI review summaries exhibited predominant positive bias: positive sentiment was overrepresented, whereas neutral and negative sentiments were underrepresented relative to the review corpora. Lower source review volume, higher rating entropy and lower positive imbalance were associated with greater sentiment bias, whereas longer summaries, greater attribute granularity and lower attribute sentiment diversity were associated with lower bias. An experimental study showed that, relative to a low-bias summary, a GAI review summary with greater positive bias improved consumers' attitude toward the hotel and increased booking intention, despite being perceived as less helpful. Originality/value This research documents sentiment distribution bias in platform-provided GAI review summaries, identifies input and output conditions under which such bias varies and examines its consequences for consumer responses. The findings extend the online review and GAI literatures while informing platform governance and responsible GAI deployment.

电子商务平台越来越多地使用生成式人工智能（GAI）来总结大量的客户评论。本研究考察了平台提供的GAI评论摘要中的情绪分布偏差，定义为与相关评论语料库中积极、中性和消极情绪的相对表示相比，它们的比例存在的扭曲。在信息论的基础上，我们描述了四种情绪分布偏差模式，并开发了一个将来源审查特征和摘要设计特征与情绪偏差联系起来的输入-输出框架。我们分析了一个在线旅游平台的数据，该平台涵盖了847家东京酒店，其中GAI评论摘要与111,115条客户评论相关联，以评估情绪偏差，并进行了一项补充性实验，以检验下游消费者的反应。该平台的GAI评论摘要表现出主要的积极偏见：相对于评论语料库，积极情绪被过度代表，而中性和消极情绪被低估。摘要越长、属性粒度越大、属性情感多样性越低，评论量越小、评价熵越高、正不平衡程度越低，情感偏差越大。一项实验研究表明，相对于低偏差的总结，积极偏差较大的GAI评论总结改善了消费者对酒店的态度，增加了预订意愿，尽管被认为没有那么有帮助。本研究记录了平台提供的GAI评论摘要中的情绪分布偏差，确定了这种偏差变化的输入和输出条件，并检查了其对消费者反应的影响。这些发现扩展了在线评论和GAI文献，同时为平台治理和负责任的GAI部署提供了信息。

{"title":"Sentiment distribution bias in AI-generated review summaries","authors":"Fei Wang,Zhecheng Liu,Fang Wang,Zhen Zhu,Shan Wang","doi":"10.1108/intr-10-2025-1756","DOIUrl":"https://doi.org/10.1108/intr-10-2025-1756","url":null,"abstract":"Purpose E-commerce platforms increasingly deploy generative AI (GAI) to summarize large volumes of customer reviews. This study examines sentiment distribution bias in platform-provided GAI review summaries, defined as distortion in the relative representation of positive, neutral and negative sentiment compared with their proportional presence in the associated review corpus. Design/methodology/approach Grounded in information theory, we characterize four sentiment distribution bias patterns and develop an input-output framework linking source review characteristics and summary design features to sentiment bias. We analyzed data from an online travel platform covering 847 Tokyo hotels with GAI review summaries linked to 111,115 customer reviews to assess sentiment bias and conducted a complementary experiment to examine downstream consumer responses. Findings The platform's GAI review summaries exhibited predominant positive bias: positive sentiment was overrepresented, whereas neutral and negative sentiments were underrepresented relative to the review corpora. Lower source review volume, higher rating entropy and lower positive imbalance were associated with greater sentiment bias, whereas longer summaries, greater attribute granularity and lower attribute sentiment diversity were associated with lower bias. An experimental study showed that, relative to a low-bias summary, a GAI review summary with greater positive bias improved consumers' attitude toward the hotel and increased booking intention, despite being perceived as less helpful. Originality/value This research documents sentiment distribution bias in platform-provided GAI review summaries, identifies input and output conditions under which such bias varies and examines its consequences for consumer responses. The findings extend the online review and GAI literatures while informing platform governance and responsible GAI deployment.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"30 1","pages":"1-25"},"PeriodicalIF":5.9,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

When are imperfections beneficial? The impact of aesthetic imperfections in virtual and human influencers on consumer engagement 什么时候不完美是有益的？审美缺陷对虚拟和人类影响者对消费者参与的影响

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research

Pub Date : 2026-08-25 DOI: 10.1108/intr-03-2026-0474

Min Tian,Zhenyu Li,Sigen Song

Purpose This study aims to resolve a key paradox in influencer marketing: why brands are increasingly designing virtual influencers with aesthetic imperfections (e.g. freckles), despite conventional wisdom suggesting that perfection is key. It investigates when and why these imperfections enhance consumer engagement, specifically by comparing their effects on virtual versus human influencers. Design/methodology/approach The research employs two main experiments and a supplementary robustness study. Participants were exposed to images of either a virtual or a human influencer, both manipulated to have aesthetic imperfections. The data were analyzed using ANOVA and a moderated mediation model to test the proposed theoretical framework. Findings The two main studies show that aesthetically imperfect virtual influencers elicit higher consumer engagement than aesthetically imperfect human influencers, partly through perceived scarcity. A supplementary study further rules out perceived authenticity and anthropomorphism as alternative mediators and shows that the effect extends to purchase intention, especially under symbolic product appeal framing. Practical implications Brands can enhance virtual influencer engagement by using minor aesthetic imperfections as scarcity cues, especially for consumers seeking uniqueness and symbolic products. Originality/value This study compares consumer responses to aesthetic imperfections in virtual and human influencers. It helps reconcile mixed findings in the literature and advances theory by identifying perceived scarcity as a psychological mechanism that enhances virtual influencer appeal. The study also extends scarcity theory to the digital context and offers practical guidance for designing “perfectly imperfect” virtual personas that engage targeted consumer segments.

本研究旨在解决网红营销中的一个关键悖论：为什么品牌越来越多地设计具有审美缺陷（例如雀斑）的虚拟网红，尽管传统观点认为完美是关键。它调查了这些缺陷何时以及为什么会增强消费者的参与度，特别是通过比较它们对虚拟影响者和人类影响者的影响。本研究采用两个主要实验和一个补充的稳健性研究。参与者被暴露在虚拟或真人影响者的图像中，两者都经过处理，具有美学缺陷。数据分析使用方差分析和一个有调节的中介模型来检验提出的理论框架。这两项主要研究表明，审美不完美的虚拟网红比审美不完美的真人网红吸引了更高的消费者参与度，部分原因是由于感知到的稀缺性。一项补充研究进一步排除了感知真实性和拟人化作为替代中介的影响，并表明这种影响延伸到购买意愿，特别是在象征性产品吸引力框架下。品牌可以通过使用微小的美学缺陷作为稀缺线索来提高虚拟网红的参与度，特别是对于寻求独特性和象征性产品的消费者。独创性/价值本研究比较了消费者对虚拟影响者和真人影响者审美缺陷的反应。通过将感知稀缺性确定为一种增强虚拟影响者吸引力的心理机制，它有助于调和文献中的混合发现，并推进理论。该研究还将稀缺理论扩展到数字环境，并为设计“完全不完美”的虚拟人物角色提供了实践指导，以吸引目标消费者群体。

{"title":"When are imperfections beneficial? The impact of aesthetic imperfections in virtual and human influencers on consumer engagement","authors":"Min Tian,Zhenyu Li,Sigen Song","doi":"10.1108/intr-03-2026-0474","DOIUrl":"https://doi.org/10.1108/intr-03-2026-0474","url":null,"abstract":"Purpose This study aims to resolve a key paradox in influencer marketing: why brands are increasingly designing virtual influencers with aesthetic imperfections (e.g. freckles), despite conventional wisdom suggesting that perfection is key. It investigates when and why these imperfections enhance consumer engagement, specifically by comparing their effects on virtual versus human influencers. Design/methodology/approach The research employs two main experiments and a supplementary robustness study. Participants were exposed to images of either a virtual or a human influencer, both manipulated to have aesthetic imperfections. The data were analyzed using ANOVA and a moderated mediation model to test the proposed theoretical framework. Findings The two main studies show that aesthetically imperfect virtual influencers elicit higher consumer engagement than aesthetically imperfect human influencers, partly through perceived scarcity. A supplementary study further rules out perceived authenticity and anthropomorphism as alternative mediators and shows that the effect extends to purchase intention, especially under symbolic product appeal framing. Practical implications Brands can enhance virtual influencer engagement by using minor aesthetic imperfections as scarcity cues, especially for consumers seeking uniqueness and symbolic products. Originality/value This study compares consumer responses to aesthetic imperfections in virtual and human influencers. It helps reconcile mixed findings in the literature and advances theory by identifying perceived scarcity as a psychological mechanism that enhances virtual influencer appeal. The study also extends scarcity theory to the digital context and offers practical guidance for designing “perfectly imperfect” virtual personas that engage targeted consumer segments.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"16 1","pages":"1-19"},"PeriodicalIF":5.9,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148895955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Sneezers or catchers of shock among green cryptocurrencies, energy cryptocurrencies and Bitcoin Gold: an R-squared decomposed connectedness 绿色加密货币、能源加密货币和比特币黄金之间的喷嚏者或休克者：r平方分解的连通性

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research

Pub Date : 2026-08-24 DOI: 10.1108/intr-08-2025-1182

Miklesh Prasad Yadav,Pratiksha Jha,Shakeb Akhtar

Purpose To analyze shock transmission, shock absorption and systemic interconnectedness in decentralized cryptocurrency markets by examining how structural differences across cryptocurrency subcategories (green, energy and Bitcoin Gold) influence contagion dynamics and network resilience. Design/methodology/approach This study employs an R-squared decomposed connectedness approach to investigate contemporaneous and lagged spillovers among eight cryptocurrencies that have been classified as green (Cardano, XRP, Polygon and Stellar), energy-centric (Powerledger, Electrify Asia and Sun Contract) and Bitcoin Gold for the period ranging from December 31, 2019 to July 22, 2024. It evaluates directional shock transmission (“TO”), shock absorption (“FROM”) and net connectedness to identify the role of individual assets as transmitters and receivers within the network. Additionally, hedge ratios and portfolio weights are calculated to offer insights into diversification potential and hedging effectiveness across cryptocurrency subcategories. Findings The findings indicate a high degree of systemic interconnectedness among closely linked decentralized networks. Contemporaneous connectedness is more pronounced than lagged connectedness, indicating rapid information diffusion within cryptocurrency platforms. Network diffusion analysis identifies Stellar and Cardano as net transmitters (sneezers), and Sun Contract and Electrify Asia as net receivers (catchers), exhibiting systemic risk elevation and diversification capabilities, respectively. Originality/value This study contributes to Information Systems research by integrating digital contagion theory and a socio-technical perspective into the empirical analysis of cryptocurrency platforms. It introduces network-based decomposition of connectedness to differentiate between immediate and persistent contagion and offers one of the initial empirical analyses of heterogeneity across cryptocurrency subcategories. This study connects infrastructure design with contagion dynamics and provides innovative perspectives on governance-by-design, network resilience and systemic vulnerabilities in developing a digital ecosystem.

通过研究加密货币子类别（绿色、能源和比特币黄金）的结构差异如何影响传染动态和网络弹性，分析分散加密货币市场的冲击传导、减震和系统互联性。本研究采用r平方分解的连通性方法，调查了2019年12月31日至2024年7月22日期间被归类为绿色（Cardano， XRP， Polygon和Stellar），能源中心（Powerledger， Electrify Asia和Sun Contract）和比特币黄金的八种加密货币之间的同期和滞后溢出效应。它评估定向冲击传输（“TO”）、冲击吸收（“FROM”）和网络连通性，以确定单个资产在网络中作为发射器和接收器的作用。此外，还计算了对冲比率和投资组合权重，以深入了解加密货币子类别的多样化潜力和对冲有效性。研究结果表明，密切联系的分散网络之间存在高度的系统互联性。同期连通性比滞后连通性更明显，表明信息在加密货币平台内快速扩散。网络扩散分析将Stellar和Cardano确定为网络发射器（打喷嚏者），Sun Contract和Electrify Asia确定为网络接收器（接球者），分别表现出系统性风险提升和多样化能力。独创性/价值本研究通过将数字传染理论和社会技术视角整合到加密货币平台的实证分析中，为信息系统研究做出了贡献。它引入了基于网络的连通性分解，以区分即时传染和持续传染，并提供了跨加密货币子类别异质性的初步实证分析之一。本研究将基础设施设计与传染动力学联系起来，并为开发数字生态系统中的设计治理、网络弹性和系统脆弱性提供了创新视角。

{"title":"Sneezers or catchers of shock among green cryptocurrencies, energy cryptocurrencies and Bitcoin Gold: an R-squared decomposed connectedness","authors":"Miklesh Prasad Yadav,Pratiksha Jha,Shakeb Akhtar","doi":"10.1108/intr-08-2025-1182","DOIUrl":"https://doi.org/10.1108/intr-08-2025-1182","url":null,"abstract":"Purpose To analyze shock transmission, shock absorption and systemic interconnectedness in decentralized cryptocurrency markets by examining how structural differences across cryptocurrency subcategories (green, energy and Bitcoin Gold) influence contagion dynamics and network resilience. Design/methodology/approach This study employs an R-squared decomposed connectedness approach to investigate contemporaneous and lagged spillovers among eight cryptocurrencies that have been classified as green (Cardano, XRP, Polygon and Stellar), energy-centric (Powerledger, Electrify Asia and Sun Contract) and Bitcoin Gold for the period ranging from December 31, 2019 to July 22, 2024. It evaluates directional shock transmission (“TO”), shock absorption (“FROM”) and net connectedness to identify the role of individual assets as transmitters and receivers within the network. Additionally, hedge ratios and portfolio weights are calculated to offer insights into diversification potential and hedging effectiveness across cryptocurrency subcategories. Findings The findings indicate a high degree of systemic interconnectedness among closely linked decentralized networks. Contemporaneous connectedness is more pronounced than lagged connectedness, indicating rapid information diffusion within cryptocurrency platforms. Network diffusion analysis identifies Stellar and Cardano as net transmitters (sneezers), and Sun Contract and Electrify Asia as net receivers (catchers), exhibiting systemic risk elevation and diversification capabilities, respectively. Originality/value This study contributes to Information Systems research by integrating digital contagion theory and a socio-technical perspective into the empirical analysis of cryptocurrency platforms. It introduces network-based decomposition of connectedness to differentiate between immediate and persistent contagion and offers one of the initial empirical analyses of heterogeneity across cryptocurrency subcategories. This study connects infrastructure design with contagion dynamics and provides innovative perspectives on governance-by-design, network resilience and systemic vulnerabilities in developing a digital ecosystem.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"8 1","pages":"1-21"},"PeriodicalIF":5.9,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

When platforms integrate generative AI: the dynamics of professional contribution in artist communities 当平台整合生成式人工智能：艺术家社区专业贡献的动态

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research

Pub Date : 2026-08-24 DOI: 10.1108/intr-10-2025-1753

Keyu Cui,Shan Liu,Chenze Wang,Yang Liu,Xiaoxiao Liu

Purpose Generative AI (GAI) is transforming user-generated content (UGC) communities, yet its impact on professional creators remains underexplored. This study examines how the platform-level integration of a GAI illustration tool into an online artist community influences designers' original content contributions and how these effects vary by designer characteristics. Design/methodology/approach We use 12 months of panel data on 43,587 active designers from a leading online creative platform. Leveraging the platform's introduction of a free GAI illustration tool in October 2022 as a natural experiment, we employ a difference-in-differences design to estimate its effect on designers' original work postings. Findings The results indicate that integrating the GAI tool increases original content contributions by 25%. This effect is driven by multiple mechanisms, including competitive pressure, learning-oriented engagement, and copyright concerns. In particular, competitive pressure induces strategic effort reallocation, leading designers to reduce contributions within their primary domains and shift effort toward less-affected creative areas. Moderation analyses further show that this reallocation effect is stronger among newer and lower-reputation designers. Originality/value Amid growing interest in the impact of GAI, this study centers on the creative domain, shifting the focus from GAI's influence on creative processes to its effects on professional content contributions in online communities. It identifies key mechanisms – competitive pressure, learning-oriented engagement, and copyright concerns – arising from platform-level GAI integration. The findings provide theoretical and practical insights for managing creative platforms in the era of GAI integration.

生成式人工智能（GAI）正在改变用户生成内容（UGC）社区，但它对专业创作者的影响仍未得到充分探索。本研究考察了GAI插图工具与在线艺术家社区的平台级集成如何影响设计师的原创内容贡献，以及这些影响如何因设计师的特征而变化。我们使用了来自领先的在线创意平台的43,587名活跃设计师的12个月的面板数据。利用该平台在2022年10月引入的免费GAI插图工具作为自然实验，我们采用差异中的差异设计来估计其对设计师原始工作帖子的影响。结果表明，整合GAI工具可使原创内容贡献增加25%。这种效应是由多种机制驱动的，包括竞争压力、以学习为导向的参与和版权问题。特别是，竞争压力会导致战略上的努力重新分配，导致设计师减少在其主要领域的贡献，并将努力转移到受影响较小的创意领域。适度分析进一步表明，这种再分配效应在较新和较低声誉的设计师中更为强烈。随着人们对GAI的影响越来越感兴趣，本研究集中在创意领域，将重点从GAI对创意过程的影响转移到其对在线社区专业内容贡献的影响。它确定了平台级GAI集成产生的关键机制——竞争压力、以学习为导向的参与和版权问题。研究结果为在GAI集成时代管理创意平台提供了理论和实践见解。

{"title":"When platforms integrate generative AI: the dynamics of professional contribution in artist communities","authors":"Keyu Cui,Shan Liu,Chenze Wang,Yang Liu,Xiaoxiao Liu","doi":"10.1108/intr-10-2025-1753","DOIUrl":"https://doi.org/10.1108/intr-10-2025-1753","url":null,"abstract":"Purpose Generative AI (GAI) is transforming user-generated content (UGC) communities, yet its impact on professional creators remains underexplored. This study examines how the platform-level integration of a GAI illustration tool into an online artist community influences designers' original content contributions and how these effects vary by designer characteristics. Design/methodology/approach We use 12 months of panel data on 43,587 active designers from a leading online creative platform. Leveraging the platform's introduction of a free GAI illustration tool in October 2022 as a natural experiment, we employ a difference-in-differences design to estimate its effect on designers' original work postings. Findings The results indicate that integrating the GAI tool increases original content contributions by 25%. This effect is driven by multiple mechanisms, including competitive pressure, learning-oriented engagement, and copyright concerns. In particular, competitive pressure induces strategic effort reallocation, leading designers to reduce contributions within their primary domains and shift effort toward less-affected creative areas. Moderation analyses further show that this reallocation effect is stronger among newer and lower-reputation designers. Originality/value Amid growing interest in the impact of GAI, this study centers on the creative domain, shifting the focus from GAI's influence on creative processes to its effects on professional content contributions in online communities. It identifies key mechanisms – competitive pressure, learning-oriented engagement, and copyright concerns – arising from platform-level GAI integration. The findings provide theoretical and practical insights for managing creative platforms in the era of GAI integration.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"4 1","pages":"1-20"},"PeriodicalIF":5.9,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Do fraud alert features improve user satisfaction? Evidence from large language model–based personality traits in online reviews 欺诈警报功能是否提高了用户满意度？来自在线评论中基于大型语言模型的人格特征的证据

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research

Pub Date : 2026-08-14 DOI: 10.1108/intr-12-2025-2032

Chenkai Bao,Jie Wang,Zheng Zhang

Purpose This study explores the paradoxical impact of fraud alert features on user satisfaction in age-friendly applications and examines how the personality traits Openness and Neuroticism moderate this relationship. Design/methodology/approach Drawing on 7,516 user reviews of an age-friendly music application collected from April 2021 to November 2024, we employ large language model–based (LLM-based) personality inference to identify users' psychological traits. Ordinary least squares regressions with brand fixed effects are applied to test the direct and moderating effects of fraud alert feature within a self-efficacy theoretical framework. Findings Results indicate that fraud alert features are significantly associated with lower user satisfaction, contradicting the common belief that security innovations are universally beneficial. Users high in Openness experience less dissatisfaction by viewing alerts as learning opportunities, while those high in Neuroticism show stronger dissatisfaction due to anxiety and perceived competence threats. These personality effects are more pronounced in contexts with fewer likes and lower review activity. Originality/value This study is among the first to integrate personality psychology with self-efficacy theory to explain heterogeneous responses to security features in age-friendly software. It introduces a scalable LLM-based personality measurement method and highlights the need for personality-aware, context-sensitive design strategies to balance protection and satisfaction in digital aging solutions.

目的本研究探讨年龄友好型应用中欺诈预警特征对用户满意度的矛盾影响，并考察开放性和神经质性人格特征如何调节这种关系。根据从2021年4月到2024年11月收集的7516条年龄友好型音乐应用程序的用户评论，我们采用基于大型语言模型（LLM-based）的人格推断来识别用户的心理特征。在自我效能的理论框架下，应用具有品牌固定效应的普通最小二乘回归来检验欺诈预警特征的直接效应和调节效应。研究结果表明，欺诈警报功能与较低的用户满意度显著相关，这与安全创新普遍有益的普遍观点相矛盾。开放性高的用户较少因将警报视为学习机会而感到不满，而神经质高的用户由于焦虑和感知能力威胁而表现出更强的不满。这些人格效应在点赞少、评论活动少的情况下更为明显。本研究首次将人格心理学与自我效能理论相结合来解释对年龄友好型软件安全功能的异质反应。它引入了一种可扩展的基于法学硕士的人格测量方法，并强调了在数字老龄化解决方案中需要个性感知、上下文敏感的设计策略来平衡保护和满意度。

{"title":"Do fraud alert features improve user satisfaction? Evidence from large language model–based personality traits in online reviews","authors":"Chenkai Bao,Jie Wang,Zheng Zhang","doi":"10.1108/intr-12-2025-2032","DOIUrl":"https://doi.org/10.1108/intr-12-2025-2032","url":null,"abstract":"Purpose This study explores the paradoxical impact of fraud alert features on user satisfaction in age-friendly applications and examines how the personality traits Openness and Neuroticism moderate this relationship. Design/methodology/approach Drawing on 7,516 user reviews of an age-friendly music application collected from April 2021 to November 2024, we employ large language model–based (LLM-based) personality inference to identify users' psychological traits. Ordinary least squares regressions with brand fixed effects are applied to test the direct and moderating effects of fraud alert feature within a self-efficacy theoretical framework. Findings Results indicate that fraud alert features are significantly associated with lower user satisfaction, contradicting the common belief that security innovations are universally beneficial. Users high in Openness experience less dissatisfaction by viewing alerts as learning opportunities, while those high in Neuroticism show stronger dissatisfaction due to anxiety and perceived competence threats. These personality effects are more pronounced in contexts with fewer likes and lower review activity. Originality/value This study is among the first to integrate personality psychology with self-efficacy theory to explain heterogeneous responses to security features in age-friendly software. It introduces a scalable LLM-based personality measurement method and highlights the need for personality-aware, context-sensitive design strategies to balance protection and satisfaction in digital aging solutions.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"19 1","pages":"1-23"},"PeriodicalIF":5.9,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 traceability information on consumer purchase behavior in e-commerce platforms 电子商务平台中可追溯信息对消费者购买行为的影响

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research

Pub Date : 2026-08-13 DOI: 10.1108/intr-08-2025-1158

Mingqian Li,Rong Du,Andrew Burton-Jones,Jianing Xie

Purpose Grounded in signaling theory, this study examines whether traceability information displaces or complements incumbent quality cues and contrasts the relative efficacy of blockchain-enabled traceability technologies with traditional systems. Design/methodology/approach This study analyzes 18 months of product-level sales data from a global e-commerce platform using a staggered difference-in-differences design with robustness checks. We apply latent Dirichlet allocation topic modeling to consumer reviews and use a synthetic difference-in-differences approach to examine shifts in consumer attention after traceability implementation. Findings Traceability information increases product sales, particularly for lower-reputation brands and diminishes the effect of electronic word-of-mouth, suggesting that diagnostic quality signals matter more than social information signals. Although blockchain-enabled traceability should enhance signal credibility, its observed impact falls short of expectations. Research limitations/implications The sample is limited to the automotive engine oil context in China. Future research should examine other categories and national contexts. Practical implications Platform managers and emerging brands can deploy low-cost traceability labels to boost demand. Blockchain solutions may require consumer education to justify higher implementation costs. Social implications Augmenting supply-chain transparency and product traceability curbs counterfeit and substandard goods, improves consumer welfare, and supports regulatory and sustainability objectives. Originality/value This study systematically assesses the substitutive and complementary roles of traceability signals in a multi-cue setting, tempers optimism about blockchain-enabled traceability and extends research on digital supply-chain transparency and signaling theory.

本研究以信号理论为基础，研究了可追溯性信息是否取代或补充了现有的质量线索，并对比了支持区块链的可追溯性技术与传统系统的相对功效。本研究分析了来自全球电子商务平台的18个月的产品级销售数据，采用了交错差中差设计和鲁棒性检查。我们将潜在的狄利克雷分配主题建模应用于消费者评论，并使用综合差异中的差异方法来检查可追溯性实现后消费者注意力的变化。可追溯性信息增加了产品销售，特别是对于声誉较低的品牌，并减少了电子口碑的影响，这表明诊断质量信号比社会信息信号更重要。尽管支持区块链的可追溯性应该会增强信号的可信度，但其观察到的影响却达不到预期。研究局限/启示本样本仅限于中国的汽车发动机油。未来的研究应检查其他类别和国家背景。平台管理人员和新兴品牌可以部署低成本的可追溯性标签来促进需求。区块链解决方案可能需要对消费者进行教育，以证明更高的实施成本是合理的。增加供应链透明度和产品可追溯性可以遏制假冒和不合格商品，改善消费者福利，并支持监管和可持续性目标。本研究系统地评估了可追溯性信号在多线索环境中的替代和补充作用，缓和了对区块链可追溯性的乐观情绪，并扩展了对数字供应链透明度和信号理论的研究。

{"title":"The impact of traceability information on consumer purchase behavior in e-commerce platforms","authors":"Mingqian Li,Rong Du,Andrew Burton-Jones,Jianing Xie","doi":"10.1108/intr-08-2025-1158","DOIUrl":"https://doi.org/10.1108/intr-08-2025-1158","url":null,"abstract":"Purpose Grounded in signaling theory, this study examines whether traceability information displaces or complements incumbent quality cues and contrasts the relative efficacy of blockchain-enabled traceability technologies with traditional systems. Design/methodology/approach This study analyzes 18 months of product-level sales data from a global e-commerce platform using a staggered difference-in-differences design with robustness checks. We apply latent Dirichlet allocation topic modeling to consumer reviews and use a synthetic difference-in-differences approach to examine shifts in consumer attention after traceability implementation. Findings Traceability information increases product sales, particularly for lower-reputation brands and diminishes the effect of electronic word-of-mouth, suggesting that diagnostic quality signals matter more than social information signals. Although blockchain-enabled traceability should enhance signal credibility, its observed impact falls short of expectations. Research limitations/implications The sample is limited to the automotive engine oil context in China. Future research should examine other categories and national contexts. Practical implications Platform managers and emerging brands can deploy low-cost traceability labels to boost demand. Blockchain solutions may require consumer education to justify higher implementation costs. Social implications Augmenting supply-chain transparency and product traceability curbs counterfeit and substandard goods, improves consumer welfare, and supports regulatory and sustainability objectives. Originality/value This study systematically assesses the substitutive and complementary roles of traceability signals in a multi-cue setting, tempers optimism about blockchain-enabled traceability and extends research on digital supply-chain transparency and signaling theory.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"28 1","pages":"1-24"},"PeriodicalIF":5.9,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 employees' AI use contributes to digital-enabled innovative performance 员工对人工智能的使用如何促进数字化创新绩效

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research

Pub Date : 2026-08-11 DOI: 10.1108/intr-03-2025-0424

Liang Ma,Zhihao Qi,Xin Zhang,Feifei Hao

Purpose This paper aims to examine the relationship between employees' use of artificial intelligence (AI) for work and digital-enabled innovative performance (DEIP) from the perspective of employee engagement and trust in AI. Based on these perspectives, this study identifies specific solutions for achieving high levels of DEIP. Design/methodology/approach Drawing on job demands-resources (JD-R) theory and analyzing data from 431 employees, this paper proposes a research model to investigate how employee AI use affects employees' DEIP through partial least squares structural equation modeling and highlights the configurations of causal conditions associated with DEIP through fuzzy-set qualitative comparative analysis (fsQCA). Findings The results show that AI use for work exerts the strongest positive impact on employees' behavioral engagement, followed by emotional and cognitive engagement. Employee engagement (three types mention before) play a partial mediating role between work-related AI and DEIP. Furthermore, both human-like and functionality trust in AI positively moderate the relationship between work-related AI and behavioral engagement. Finally, a total of four solutions leads to a high level of DEIP. Practical implications Organizations should enhance employees' engagement and trust in AI through training and supportive implementation strategies. Managers should adopt context-sensitive approaches that align AI use, engagement and trust to improve DEIP. Originality/value Firstly, this study enriches the literature on DEIP and JD-R theory by exploring the AI-performance link via employee engagement. Secondly, this paper supplements work-related AI literature by clarifying AI trust's boundary conditions. Thirdly, this paper contributes to the performance literature by identifying key solutions for DEIP from a configuration perspective.

本文旨在从员工敬业度和对人工智能的信任角度，研究员工在工作中使用人工智能（AI）与数字化创新绩效（DEIP）之间的关系。基于这些观点，本研究确定了实现高水平DEIP的具体解决方案。基于工作需求-资源（job demand -resources, JD-R）理论，通过分析431名员工的数据，提出了一个研究模型，通过偏最小二乘结构方程建模来研究员工人工智能使用对员工DEIP的影响，并通过模糊集定性比较分析（fsQCA）来强调与DEIP相关的因果条件的配置。研究结果显示，人工智能在工作中的应用对员工行为投入的积极影响最大，其次是情感投入和认知投入。员工敬业度（前面提到的三种类型）在与工作相关的AI和DEIP之间起部分中介作用。此外，人工智能中的类人信任和功能信任正向调节与工作相关的人工智能与行为投入之间的关系。最后，共有四种解决方案可以实现高水平的DEIP。组织应该通过培训和支持性实施策略来提高员工对人工智能的参与和信任。管理者应该采用情境敏感的方法，将人工智能的使用、参与和信任结合起来，以改善DEIP。首先，本研究通过探究员工敬业度与ai绩效之间的联系，丰富了DEIP和JD-R理论的文献。其次，本文通过澄清AI信任的边界条件来补充与工作相关的AI文献。第三，本文通过从配置的角度确定DEIP的关键解决方案，为性能文献做出贡献。

{"title":"How employees' AI use contributes to digital-enabled innovative performance","authors":"Liang Ma,Zhihao Qi,Xin Zhang,Feifei Hao","doi":"10.1108/intr-03-2025-0424","DOIUrl":"https://doi.org/10.1108/intr-03-2025-0424","url":null,"abstract":"Purpose This paper aims to examine the relationship between employees' use of artificial intelligence (AI) for work and digital-enabled innovative performance (DEIP) from the perspective of employee engagement and trust in AI. Based on these perspectives, this study identifies specific solutions for achieving high levels of DEIP. Design/methodology/approach Drawing on job demands-resources (JD-R) theory and analyzing data from 431 employees, this paper proposes a research model to investigate how employee AI use affects employees' DEIP through partial least squares structural equation modeling and highlights the configurations of causal conditions associated with DEIP through fuzzy-set qualitative comparative analysis (fsQCA). Findings The results show that AI use for work exerts the strongest positive impact on employees' behavioral engagement, followed by emotional and cognitive engagement. Employee engagement (three types mention before) play a partial mediating role between work-related AI and DEIP. Furthermore, both human-like and functionality trust in AI positively moderate the relationship between work-related AI and behavioral engagement. Finally, a total of four solutions leads to a high level of DEIP. Practical implications Organizations should enhance employees' engagement and trust in AI through training and supportive implementation strategies. Managers should adopt context-sensitive approaches that align AI use, engagement and trust to improve DEIP. Originality/value Firstly, this study enriches the literature on DEIP and JD-R theory by exploring the AI-performance link via employee engagement. Secondly, this paper supplements work-related AI literature by clarifying AI trust's boundary conditions. Thirdly, this paper contributes to the performance literature by identifying key solutions for DEIP from a configuration perspective.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"147 1","pages":"1-20"},"PeriodicalIF":5.9,"publicationDate":"2026-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148894572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Is being human-like beneficial? The effect of anthropomorphism on chatbot persuasion in e-commerce 长得像人有益吗？拟人化对电子商务中聊天机器人说服的影响

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research

Pub Date : 2025-03-17 DOI: 10.1108/intr-10-2023-0866

Mengru Yang, Xixian Peng, Qiuzhen Wang, Yuxiang Chris Zhao, Xinwei Wang

Purpose

Chatbots are vital for enhancing e-commerce sustainability by providing efficient customer support. Although previous studies have considered both linguistic and visual anthropomorphism as crucial factors in e-commerce chatbot design, their joint effects and their underlying mechanisms have not been thoroughly investigated. Drawing on insights from the literature on anthropomorphism and the elaboration likelihood model, this research attempts to examine the joint effects of the two types of anthropomorphism, the boundary condition, and the subsequent impact on purchase intention.

Design/methodology/approach

A research model was proposed and empirically tested using two laboratory-controlled experimental studies.

Findings

Linguistic anthropomorphism plays a dominant role over visual anthropomorphism in influencing social presence and communicative effectiveness. In addition, linguistic anthropomorphism harms persuasion through the mediating role of communicative effectiveness, and the fit between linguistic and visual anthropomorphism amplifies the negative effect on purchase intention. Moreover, shopping motivation serves as a boundary condition for the negative effect of anthropomorphism.

Practical implications

Chatbot designers should be cautious when using anthropomorphism in e-commerce chatbot design. The use of machine-like languages may be more persuasive than that of human-like languages, especially for utilitarian products. Notably, mismatched anthropomorphic elements may harm user experience.

Originality/value

This study enriches chatbot literature by examining the role of chatbot anthropomorphism in the e-commerce context. Moreover, this study provides a more comprehensive framework for understanding how chatbots’ linguistic and visual anthropomorphism jointly influence consumer behavior.

聊天机器人通过提供高效的客户支持，对提高电子商务的可持续性至关重要。虽然以往的研究将语言拟人化和视觉拟人化作为电子商务聊天机器人设计的关键因素，但它们的共同作用及其潜在机制尚未得到深入研究。本研究借鉴拟人化文献和细化似然模型的见解，试图考察两类拟人化的联合效应、边界条件以及随后对购买意愿的影响。设计/方法/方法提出了一个研究模型，并通过两个实验室对照实验研究进行了实证检验。发现语言拟人化比视觉拟人化更能影响交际效果和社会存在。此外，语言拟人化通过交际效果的中介作用损害说服，语言拟人化与视觉拟人化的契合放大了对购买意愿的负向影响。此外，购物动机是拟人化负面效应的边界条件。在电子商务聊天机器人设计中使用拟人设计时，聊天机器人设计者应该谨慎。使用类似机器的语言可能比使用类似人类的语言更有说服力，尤其是对于实用的产品。值得注意的是，不匹配的拟人化元素可能会损害用户体验。本研究通过考察聊天机器人拟人化在电子商务背景下的作用，丰富了聊天机器人的文献。此外，本研究为理解聊天机器人的语言和视觉拟人化如何共同影响消费者行为提供了一个更全面的框架。

{"title":"Is being human-like beneficial? The effect of anthropomorphism on chatbot persuasion in e-commerce","authors":"Mengru Yang, Xixian Peng, Qiuzhen Wang, Yuxiang Chris Zhao, Xinwei Wang","doi":"10.1108/intr-10-2023-0866","DOIUrl":"https://doi.org/10.1108/intr-10-2023-0866","url":null,"abstract":"<h3>Purpose</h3>\u0000<p> Chatbots are vital for enhancing e-commerce sustainability by providing efficient customer support. Although previous studies have considered both linguistic and visual anthropomorphism as crucial factors in e-commerce chatbot design, their joint effects and their underlying mechanisms have not been thoroughly investigated. Drawing on insights from the literature on anthropomorphism and the elaboration likelihood model, this research attempts to examine the joint effects of the two types of anthropomorphism, the boundary condition, and the subsequent impact on purchase intention.</p>\u0000<h3>Design/methodology/approach</h3>\u0000<p> A research model was proposed and empirically tested using two laboratory-controlled experimental studies.</p>\u0000<h3>Findings</h3>\u0000<p> Linguistic anthropomorphism plays a dominant role over visual anthropomorphism in influencing social presence and communicative effectiveness. In addition, linguistic anthropomorphism harms persuasion through the mediating role of communicative effectiveness, and the fit between linguistic and visual anthropomorphism amplifies the negative effect on purchase intention. Moreover, shopping motivation serves as a boundary condition for the negative effect of anthropomorphism.</p>\u0000<h3>Practical implications</h3>\u0000<p> Chatbot designers should be cautious when using anthropomorphism in e-commerce chatbot design. The use of machine-like languages may be more persuasive than that of human-like languages, especially for utilitarian products. Notably, mismatched anthropomorphic elements may harm user experience.</p>\u0000<h3>Originality/value</h3>\u0000<p> This study enriches chatbot literature by examining the role of chatbot anthropomorphism in the e-commerce context. Moreover, this study provides a more comprehensive framework for understanding how chatbots’ linguistic and visual anthropomorphism jointly influence consumer behavior.</p>","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"17 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143627489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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