Internet Research最新文献

{"title":"When AI summarizes the community: how generative AI summaries shape users’ intention to engage with original content","authors":"Qian Liu,Shuang Wu,Lin Xu","doi":"10.1108/intr-10-2025-1763","DOIUrl":"https://doi.org/10.1108/intr-10-2025-1763","url":null,"abstract":"Purpose The integration of Generative Artificial Intelligence (GenAI) into user-generated content (UGC) communities has fundamentally reshaped how users seek and consume information. Many UGC platforms, such as RedNote and Zhihu, now incorporate GenAI summaries that provide concise, AI-generated answers at the top of search results. While these summaries improve efficiency, they may also reduce user attention to original community posts, thereby threatening engagement and participation within UGC ecosystems. This study aims to examine how GenAI summary design influences users’ intention to engage with community content and the underlying psychological mechanisms. Design/methodology/approach Drawing on Socio-Technical Systems Theory (STS), this research develops a socio-cognitive model linking AI summary design (source localness and source transparency) to engagement intentions through collective psychological ownership and interest-type curiosity. Two online experiments were conducted: Experiment 1 tested the main and mediating effects, and Experiment 2 introduced query type (subjective-experiential vs objective-analytic) as a contextual moderator. Findings Results reveal two socio-cognitive pathways linking GenAI summary design to user engagement. Community-focused and aggregate-list summaries enhance engagement via collective ownership, whereas web-wide and item-level citation summaries foster curiosity-driven engagement. These effects are contingent on query type: subjective-experiential queries strengthen the ownership pathway, while objective-analytic queries amplify the curiosity pathway. Originality/value This study extends STS to AI-mediated content ecosystems by conceptualizing GenAI summaries as socio-technical interfaces. It advances our understanding of how interface-level design transforms technological affordances into social and cognitive motivations that sustain participation in digital communities.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"38 1","pages":"1-20"},"PeriodicalIF":5.9,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149021310","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}

{"title":"The impact of algorithmic control on app-workers’ counterproductive work behavior: from an objectification perspective","authors":"Ming Chi,Yanli Chen,Yongshun Xu,Yuetong Wu,Yihao Yang","doi":"10.1108/intr-06-2025-0950","DOIUrl":"https://doi.org/10.1108/intr-06-2025-0950","url":null,"abstract":"Purpose Drawing on the stressor-strain-outcome model and an objectification perspective, this study examines how algorithmic control is associated with app-workers’ counterproductive work behavior through organizational objectification and self-objectification. It further investigates perceived algorithmic transparency as a boundary condition. Design/methodology/approach Data were collected from 498 DiDi Chuxing drivers in China through a three-wave survey. The measurement model was assessed using SmartPLS 4, while ordinary least squares regression and conditional process analysis in SPSS 27.0 were used to test the direct, indirect, serial mediation, and moderation effects. Findings Algorithmic control was positively associated with counterproductive work behavior through organizational objectification and self-objectification, both separately and sequentially. Perceived algorithmic transparency weakened the positive relationships between algorithmic control and both forms of objectification. Practical implications Algorithmic governance may backfire when workers perceive that they are being treated as instruments or begin to evaluate themselves in instrumental terms. Platforms should reduce instrumental treatment in evaluation and enforcement, provide explanatory feedback, and use targeted transparency to support workers’ understanding of algorithmic decisions. Originality/value This study identifies a sequential objectification mechanism linking algorithmic control to counterproductive work behavior and demonstrates how perceived algorithmic transparency conditions this process.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"32 1","pages":"1-22"},"PeriodicalIF":5.9,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149021307","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}

{"title":"Promotion or substitution? The effect of AI assistants on physician performance in online healthcare platforms","authors":"Weicheng Wang,Shaoqi Zhang,Min Zhang,Xitong Guo","doi":"10.1108/intr-10-2025-1784","DOIUrl":"https://doi.org/10.1108/intr-10-2025-1784","url":null,"abstract":"Purpose Artificial intelligence (AI) is fundamentally reshaping healthcare delivery. Physician-specific AI assistants, trained on individual physicians’ medical data, now provide personalized medical advice on online healthcare platforms. While AI assistants improve the availability of physician expertise, they may substitute for cognitive tasks traditionally undertaken by physicians. Despite this tension, few studies have examined how AI assistants affect physician performance. This study aims to examine the causal impact of introducing AI assistants on physician consultation volume and how physicians’ existing resource configurations shape this impact. Design/methodology/approach This study leveraged the introduction of AI assistants on a leading online healthcare platform to establish a quasi-natural experimental setting. We constructed a panel dataset covering 3,668 physicians and employed a difference-in-differences model to identify the causal effect of AI assistants on physician performance. Findings The results suggest that the introduction of AI assistants significantly improves physician performance, with physicians experiencing a 3.6% increase in consultation volume. Moderation analyses reveal that the positive effect is weaker for high-reputation physicians and those with broader knowledge. Further heterogeneity analysis shows that the effect is invariant to physician gender but more pronounced among physicians in non-first-tier cities. Originality/value This study provides causal evidence of the impact of AI assistants on individual performance in an online healthcare setting. It further reveals how physicians’ existing resource configurations shape AI’s impact from a resource-based view and offers suggestive evidence on its promotion and substitution pathways.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"16 1","pages":"1-29"},"PeriodicalIF":5.9,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149022208","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}

{"title":"Reducing supply chain uncertainty via blockchain: an affordance and transaction cost perspective","authors":"Wilson K.S. Leung,Man Kit Chang,Man Lai Cheung,Si Shi,Randy Yee Man Wong","doi":"10.1108/intr-11-2025-1792","DOIUrl":"https://doi.org/10.1108/intr-11-2025-1792","url":null,"abstract":"Purpose This study examines how blockchain technology supports uncertainty reduction and collaboration in supply chains, thereby improving perceived business process performance. Drawing on affordance theory and transaction cost theory, we investigate how transparency and traceability affordances reduce environmental and partner-related uncertainties and facilitate supply chain collaboration. Design/methodology/approach We collected data from 297 supply chain managers in China. We used partial least squares structural equation modeling (PLS-SEM) to test the proposed relationships among blockchain affordances, uncertainty reduction, collaboration and performance outcomes. Findings The results show that the traceability affordance significantly reduces all types of uncertainty, while the transparency affordance indirectly contributes to uncertainty reduction through traceability. Reduced uncertainty strengthens supply chain collaboration, which in turn improves perceived business process performance. Research limitations/implications This study identifies uncertainty reduction as a key mechanism linking blockchain affordances to supply chain collaboration and perceived business process performance. As the study focuses primarily on uncertainty within transaction cost theory, future research could examine other transaction characteristics and contextual conditions that shape blockchain affordances and their consequences. Practical implications Managers should establish supply chain transparency while prioritizing traceability for high-risk products and suppliers. Blockchain-enabled audit trails can support supplier evaluation, transaction verification and contract monitoring, providing a stronger informational basis for interorganizational collaboration. Originality/value This study explains how blockchain affordances translate into collaborative and performance outcomes through uncertainty reduction. The findings further distinguish the roles of transparency and traceability in this process, providing a more nuanced understanding of how blockchain creates value in supply chain relationships.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"40 1","pages":"1-30"},"PeriodicalIF":5.9,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932861","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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}