Internet Research最新文献

Beyond continuance: how FinTech app experiences shape user well-being 超越延续：金融科技应用体验如何塑造用户幸福感

IF 5.9 3区管理学

Internet Research Pub Date : 2026-10-19 DOI: 10.1108/intr-04-2026-0726

Ali Raza,Shehab Abdulhabib Saeed Alzaeemi,Mousa Albashrawi,Yogesh K. Dwivedi,Inyoung Chae

{"title":"Beyond continuance: how FinTech app experiences shape user well-being","authors":"Ali Raza,Shehab Abdulhabib Saeed Alzaeemi,Mousa Albashrawi,Yogesh K. Dwivedi,Inyoung Chae","doi":"10.1108/intr-04-2026-0726","DOIUrl":"https://doi.org/10.1108/intr-04-2026-0726","url":null,"abstract":"Purpose This study examines how users' everyday experiences with digital wallet apps, as a major category of FinTech applications, shape their well-being rather than focusing only on continued use. Using real user reviews from Saudi Arabia, it identifies four key experiential factors: complaint handling effectiveness, perceived system reliability, information ambiguity, and user autonomy. Drawing on Self-Determination Theory (SDT), the study explains how these factors shape user well-being. Design/methodology/approach We applied a sequential mixed-methods design guided by Computational User Feedback Analytics (CUFA) to Arabic and English reviews collected from the Google Play Store and Apple App Store. CUFA integrates hierarchical clustering, Latent Dirichlet Allocation( topic modeling, sentiment analysis, multi-model classification, human validation, and regularized regression. We interpreted the review-derived constructs through SDT and tested them using Ridge and Lasso regression. Findings Our findings indicate that complaint handling effectiveness, perceived system reliability, and user autonomy positively shape user well-being. In contrast, information ambiguity negatively affects user well-being. Originality/value Unlike prior studies that rely predominantly on structured surveys and predefined adoption models, this study applies CUFA to derive, validate, and test theoretically meaningful constructs using large-scale, unsolicited user feedback. It also extends SDT into the fintech context by showing how specific digital wallet experiences support or frustrate users' psychological needs.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"33 1","pages":"1-20"},"PeriodicalIF":5.9,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149209348","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

Toward fairer large language models: a divergence-reflection-convergence framework for mitigating cognitive bias 走向更公平的大型语言模型：缓解认知偏见的发散-反射-收敛框架

IF 5.9 3区管理学

Internet Research Pub Date : 2026-10-13 DOI: 10.1108/intr-10-2025-1717

Wei Liu,Yixin Zhang

{"title":"Toward fairer large language models: a divergence-reflection-convergence framework for mitigating cognitive bias","authors":"Wei Liu,Yixin Zhang","doi":"10.1108/intr-10-2025-1717","DOIUrl":"https://doi.org/10.1108/intr-10-2025-1717","url":null,"abstract":"Purpose Cognitive bias in large language models (LLMs) undermines their reliability due to the practical limitations of existing mitigation methods. This study introduces a divergence-reflection-convergence (DRC) framework, which leverages a computationally efficient and inference-time strategy designed to identify and mitigate cognitive biases without costly retraining. Design/methodology/approach This study proposes a novel three-stage DRC framework utilizing a competitive reasoning process where the model first generates divergent viewpoints, subsequently reflects on them to extract a decision rule, and finally converges on a robust output. Furthermore, we validate the DRC framework on five popular LLMs across four common dimensions of cognitive bias, quantifying performance with evaluation metrics including asymmetric kappa (AK) and total variation distance (TVD). Findings The experimental results demonstrate that LLMs refined by the DRC framework provide more consistent and reliable outputs across all scenarios. Notably, this effect is more pronounced for mitigating internal biases than external biases, suggesting the DRC framework is highly effective at correcting LLMs' flawed internal heuristics. In terms of specific evaluation metrics, the DRC framework successfully transforms all negative or near-zero AK scores into positive values and markedly reduces TVD scores, both of which signify a substantial bias reduction. Originality/value This study develops a DRC framework as a novel inference-time mitigation scheme for LLM bias that addresses the practical limitations of retraining-based approaches. Its competitive reasoning process offers a scalable solution for deploying responsible AI. Concurrently, we propose a more nuanced evaluation metric, the AK, tailored for quantifying LLM bias in subjective contexts.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"63 1","pages":"1-23"},"PeriodicalIF":5.9,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149209349","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

Predicting participation and expenditure on distinct gambling-like mechanics: financial engagement, selective problem gambling effects and a gaming disorder null 预测不同赌博机制的参与和支出：财务参与、选择性问题赌博效应和游戏障碍零

IF 5.9 3区管理学

Internet Research Pub Date : 2026-10-09 DOI: 10.1108/intr-06-2025-0905

Topias Mattinen,Joseph Macey,Juho Hamari

{"title":"Predicting participation and expenditure on distinct gambling-like mechanics: financial engagement, selective problem gambling effects and a gaming disorder null","authors":"Topias Mattinen,Joseph Macey,Juho Hamari","doi":"10.1108/intr-06-2025-0905","DOIUrl":"https://doi.org/10.1108/intr-06-2025-0905","url":null,"abstract":"Purpose Quantitative work on gambling-like mechanics (GLMs) in video games has largely treated them as a uniform category, overlooking differences in reward structure and similarity to traditional gambling. This study examines predictors of expenditure across three disaggregated GLM categories – cosmetic loot boxes (CLB), game-affecting loot boxes (GALB) and other in-game gambling-like content (OGLC). Design/methodology/approach Data were collected via an online survey of adult gamers (N = 587). Three model sets used the same gaming engagement and problem behavior indicators as predictors, each comprising a two-part approach: binary logistic regression on the full sample to predict purchase participation, and OLS linear regression among purchasers to predict expenditure amounts. Findings Financial engagement – expenditure on non-random free-to-play content and battle passes – emerged as the dominant predictor class; gaming frequency and gaming disorder were null throughout. Problem gambling severity predicted participation selectively – most strongly for OGLC – but predicted expenditure amounts in no category. Predictor patterns dissociated between participation and amount decisions in ways aggregated or uniform analytic approaches would have obscured. Practical implications Increased focus should be given to paid game mechanics that closely mimic the visual and esthetic presentation of traditional gambling formats. Engagement systems such as battle passes should be carefully assessed for their association with increased expenditure on GLMs. Attention should be paid to the risks related to purchase entry into GLMs, rather than to expenditure amounts alone. Originality/value This study is among the first to apply a disaggregated GLM taxonomy empirically and to model participation and expenditure amount as distinct outcomes.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"36 1","pages":"240-258"},"PeriodicalIF":5.9,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149150473","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

Replenishing resources with enterprise social media (ESM): overload-moderated effects on work-life balance, exhaustion, and turnover 利用企业社交媒体（ESM）补充资源：超载调节对工作与生活平衡、疲劳和人员流动的影响

IF 5.9 3区管理学

Internet Research Pub Date : 2026-10-06 DOI: 10.1108/intr-12-2025-2167

Murad Moqbel,Mohamed Hédi Charki,Amr Soror

{"title":"Replenishing resources with enterprise social media (ESM): overload-moderated effects on work-life balance, exhaustion, and turnover","authors":"Murad Moqbel,Mohamed Hédi Charki,Amr Soror","doi":"10.1108/intr-12-2025-2167","DOIUrl":"https://doi.org/10.1108/intr-12-2025-2167","url":null,"abstract":"Purpose This study investigates the double-edged impact of Enterprise social media (ESM) use on employee well-being through Conservation of Resources (COR) theory. We examine how work- and nonwork-related ESM use affects work exhaustion and turnover intention via work–life balance (WLB), and how these effects are contingent on perceived work overload. Design/methodology/approach A survey was administered to professionals at a major IT corporation in the Midwestern United States. Data from 276 employees were analyzed using partial least squares structural equation modeling (PLS-SEM). Findings Only nonwork-related ESM use directly promotes WLB. Both work-related and nonwork-related ESM use enhances WLB for employees experiencing high perceived work overload. WLB negatively affects work exhaustion and turnover intention, and work exhaustion positively predicts turnover intention. Perceived work overload is a critical boundary condition shaping the impact of ESM use. Research limitations/implications Because this sample was drawn from a single organization, future research should extend these findings longitudinally and test other ESM-driven spillovers, such as effects on family life. Managers should replace blanket ESM policies with workload-differentiated strategies, encouraging ESM use as a coping resource under high demand while fostering psychologically safe connectivity norms. Originality/value The study offers a contingency-based perspective that reconciles apparent contradictions in ESM literature, moving beyond asking whether ESM has an impact to explaining how and when its effects manifest. A key theoretical contribution is the identification of perceived work overload as a factor that can transform ESM use from a potential drain on resources into a vital coping tool for employee well-being.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"9 1","pages":"1-20"},"PeriodicalIF":5.9,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149090191","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

IT professionals' alumni networks and firm innovation: the role of informal connections in dynamic environments IT专业人士的校友网络与企业创新：动态环境中非正式联系的作用

IF 5.9 3区管理学

Internet Research Pub Date : 2026-10-02 DOI: 10.1108/intr-05-2025-0786

Binger Lin,Chunmian Ge,Junhui Jiang,Yichao Xu

{"title":"IT professionals' alumni networks and firm innovation: the role of informal connections in dynamic environments","authors":"Binger Lin,Chunmian Ge,Junhui Jiang,Yichao Xu","doi":"10.1108/intr-05-2025-0786","DOIUrl":"https://doi.org/10.1108/intr-05-2025-0786","url":null,"abstract":"Purpose We aim to address a critical organizational challenge – how firms can leverage informal networks to enhance innovation in increasingly dynamic environments. Alumni networks connect IT professionals and support knowledge exchange across geographical and organizational boundaries, facilitating innovation through distributed collaboration. However, prior studies have inadequately examined whether and how alumni networks help IT professionals overcome boundary barriers and contribute to firm innovation. Our study fills this gap and offers practical implications for management policies. Design/methodology/approach Using data from a large online professional social networking platform, we construct alumni networks of IT professionals and use linear regression and Poisson models to examine their impact on firm innovation. This study also conducts several robustness tests, including reconstructing the alumni networks, adopting alternative centrality measures, applying different thresholds to identify high-centrality IT professionals and using lagged independent variables. Findings We find that firms with more IT professionals occupying central positions in the alumni network exhibit stronger innovation performance. Furthermore, this positive relationship is strengthened in conditions of high technological and market dynamism, highlighting the value of informal networks in driving innovation in dynamic environments. Originality/value The positive effect of IT professionals' alumni networks on firm innovation extends the understanding of informal networks by highlighting their significance in facilitating information access and integration across organizational boundaries. We further illustrate how the impact of alumni networks varies with environmental dynamism, offering practical insights into how firms can strengthen resilience and adaptive capacity in response to environmental uncertainty.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"1 1","pages":"1-21"},"PeriodicalIF":5.9,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149090209","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

More, shorter, newer? How monetization reshapes creator strategy on YouTube Shorts 更多，更短，更新？盈利如何重塑YouTube短片创作者的策略

IF 5.9 3区管理学

Internet Research Pub Date : 2026-10-02 DOI: 10.1108/intr-07-2025-1078

Soonjae Kwon,Kitae Kim,Sung-Hyuk Park

{"title":"More, shorter, newer? How monetization reshapes creator strategy on YouTube Shorts","authors":"Soonjae Kwon,Kitae Kim,Sung-Hyuk Park","doi":"10.1108/intr-07-2025-1078","DOIUrl":"https://doi.org/10.1108/intr-07-2025-1078","url":null,"abstract":"Purpose This study examines the causal impact of YouTube Shorts' ad-revenue sharing policy on creator production strategies in the short-form video creator economy. Design/methodology/approach Using 36,507 videos from 342 top global channels, we employ a regression discontinuity in time design. Computer vision techniques measure four attributes of each creator's production strategy: output volume, video length, editing pace, and content novelty. Findings The policy drove an immediate reduction in video length without expanding output volume, consistent with substitution toward cheaper per-unit configurations rather than output scaling. Entertainment creators shortened their videos most sharply, while informative creators slowed their editing pace to preserve comprehension. Long-type creators pursued per-unit cost reduction, while short-type creators invested in content novelty. Research limitations/implications The sample covers top-tier global channels, so emerging creators may respond differently. The findings show that the quantity-expansion result from low-marginal-cost user-generated content settings does not extend to high-marginal-cost production, where incentives reallocate effort within existing output rather than expand it. Practical implications A uniform monetization policy does not produce uniform outcomes. Incentive design should anticipate that creators adjust different production attributes depending on their content goals and capabilities. Originality/value This study provides causal evidence that performance-contingent monetization reshapes production strategy in a high-cost video production context and that one platform-wide policy generates different responses across creator types.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"406 1","pages":"1-19"},"PeriodicalIF":5.9,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149090208","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

Measuring consumer literacy about online fraud: effects on perceived financial risk and trust in online sellers 衡量消费者对网络欺诈的认知：对感知金融风险和对网络卖家信任的影响

IF 5.9 3区管理学

Internet Research Pub Date : 2026-10-01 DOI: 10.1108/intr-09-2025-1406

Gonzalo Luna Cortés

{"title":"Measuring consumer literacy about online fraud: effects on perceived financial risk and trust in online sellers","authors":"Gonzalo Luna Cortés","doi":"10.1108/intr-09-2025-1406","DOIUrl":"https://doi.org/10.1108/intr-09-2025-1406","url":null,"abstract":"Purpose This study aims to develop and validate a scale to measure consumer literacy about online fraud (CLOF). While prior research has linked general education and financial literacy to fraud victimization, specific knowledge about online fraud remains underexplored. The CLOF scale addresses this gap by capturing consumers' awareness of fraud-related practices and protective behaviors. The study also examines the relationships between CLOF and perceived financial risk, trust in online sellers, and online buying intensity. Design/methodology/approach Following established scale development procedures, we conducted focus groups, item generation, Q-sort validation, and pilot testing. The CLOF scale was tested across three studies in the USA, Sweden, and the UK using exploratory and confirmatory factor analyses. Reliability and validity were assessed through Cronbach's alpha, composite reliability, AVE, and discriminant validity. Structural equation modeling (SEM) was used to test the hypotheses. Findings The CLOF scale comprises six dimensions (i.e. Knowledge about identity theft; Verification of the legitimacy of companies; Knowledge of how to report fraud; Checking red flags that prevent being a victim of online scams; Knowledge and use of tools that protect against scams; and Reading terms and conditions as a protection practice). The results also show that CLOF is negatively associated with perceived financial risk and positively associated with trust in online sellers. Originality/value Existing scales do not capture literacy about online fraud effectively, with inconsistent literacy–fraud relationships reported in the literature. Hence, there is an urgent need for effective measurement and associated behavior in this context. This research introduces the first validated scale specifically designed to measure consumer literacy about online fraud. The scale offers practical utility for scholars, policymakers, and practitioners aiming to enhance fraud prevention and consumer confidence in e-commerce.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"20 1","pages":"221-239"},"PeriodicalIF":5.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149090214","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 AI hurts the pros: expertise-fixation costs and platform deployment of generative AI in subscription markets 当人工智能伤害到优势时：专业知识固定成本和生成式人工智能在订阅市场的平台部署

IF 5.9 3区管理学

Internet Research Pub Date : 2026-09-29 DOI: 10.1108/intr-10-2025-1768

Zhiyong Li,Hongxin Liu,Shiyao Shan,Min Zhang,Qiuxiao Yang

{"title":"When AI hurts the pros: expertise-fixation costs and platform deployment of generative AI in subscription markets","authors":"Zhiyong Li,Hongxin Liu,Shiyao Shan,Min Zhang,Qiuxiao Yang","doi":"10.1108/intr-10-2025-1768","DOIUrl":"https://doi.org/10.1108/intr-10-2025-1768","url":null,"abstract":"Purpose This study examines when subscription-based content platforms should deploy generative AI, given the heterogeneous AI-induced Einstellung effects on novice and expert creators. It identifies conditions under which deployment improves or undermines platform performance. Design/methodology/approach A calibrated two-sided market model characterizes equilibrium outcomes under AI and non-AI regimes, derives closed-form deployment thresholds, and tests robustness to heterogeneous expert adoption and positive novice baseline quality. Findings AI deployment is governed by a cost threshold, with welfare effects depending on implementation costs and standalone utility for a consumer joining the platform. Low-cost deployment can benefit platforms, creators, and consumers, whereas high costs may reduce profitability and stakeholder welfare by amplifying expert-side cognitive friction. Maximizing AI adoption is therefore not always optimal, even when AI raises average productivity. Research limitations/implications The analysis treats creator quality as exogenous and considers only one platform. The core deployment logic nevertheless remains robust to heterogeneous expert adoption and positive novice baseline quality. Practical implications Before deployment, managers should assess the composition of creators, implementation costs, and consumer demand. Enhancing AI-workflow compatibility and using targeted strategies can reduce expert-side friction and expand the conditions under which AI creates ecosystem value. Social implications Indiscriminate AI deployment may discourage expert participation and reduce content quality and consumer welfare, despite increasing the overall content supply. Originality/value This study offers a cognition-aware deployment framework by incorporating heterogeneous creator responses into a two-sided market model. It identifies thresholds and welfare regimes showing when AI creates mutual gains and when strategic restraint is preferable.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"37 1","pages":"1-23"},"PeriodicalIF":5.9,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149090216","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

From scripted responses to emotional reactions: exploring customer incivility behavior and emotions during chatbot capability failures—a machine learning approach 从脚本反应到情绪反应：探索聊天机器人功能失败时客户的不文明行为和情绪——一种机器学习方法

IF 5.9 3区管理学

Internet Research Pub Date : 2026-09-28 DOI: 10.1108/intr-12-2025-2020

Vida Siahtiri,Achini Adikari,Damminda Alahakoon

{"title":"From scripted responses to emotional reactions: exploring customer incivility behavior and emotions during chatbot capability failures—a machine learning approach","authors":"Vida Siahtiri,Achini Adikari,Damminda Alahakoon","doi":"10.1108/intr-12-2025-2020","DOIUrl":"https://doi.org/10.1108/intr-12-2025-2020","url":null,"abstract":"Purpose This study examines how chatbot capability failures lead to customers' incivility in AI-enabled service delivery through customers' emotional responses. It also investigates whether chatbot-expressed empathy, as a recovery-oriented capability, weakens or intensifies the relationship between customers' negative emotions and incivility. Design/methodology/approach Drawing on social response theory, we analyzed 32,586 text conversations from a university library chatbot using a framework that combines natural language processing and supervised machine learning to extract the constructs of interest. We then estimated a moderated mediation model using PROCESS to examine the proposed relationships. Findings The study identified chatbot capability failures and empathy, customer digital incivility and customer emotional profiles. The findings showed that technical and functional chatbot capability failures elicited negative customer emotions, and that these negative emotions fully mediated the relationship between chatbot capability failures and customer incivility behaviors. Although we anticipated that chatbot empathy, as a recovery-oriented capability, would mitigate the effect of negative emotions on incivility, the findings revealed the opposite: empathy strengthened rather than attenuated this effect. We termed this paradox the “empathy backfire,” indicating that empathic expressions alone were insufficient and could even intensify customer incivility when they were not matched by adequate chatbot capability. Originality/value The study advances social response theory by revealing a counterintuitive empathy backfire effect in which chatbot empathy intensifies, rather than mitigates, customer incivility behaviors. Although empathy often helps mitigate the negative effects of service failure on customer behavior in human interactions, managers should not assume that empathetic language embedded in chatbot scripts will produce comparable benefits.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"146 1","pages":"199-220"},"PeriodicalIF":5.9,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149049196","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

Perks or perils? The dual effect of artificial intelligence-augmented human resource management digitization on employee performance 福利还是危险？人工智能增强的人力资源管理数字化对员工绩效的双重影响

IF 5.9 3区管理学

Internet Research Pub Date : 2026-09-21 DOI: 10.1108/intr-08-2025-1288

Ahsan Ali,Waseem Bahadur,Lu Liu,Hussain Tariq

{"title":"Perks or perils? The dual effect of artificial intelligence-augmented human resource management digitization on employee performance","authors":"Ahsan Ali,Waseem Bahadur,Lu Liu,Hussain Tariq","doi":"10.1108/intr-08-2025-1288","DOIUrl":"https://doi.org/10.1108/intr-08-2025-1288","url":null,"abstract":"Purpose This study aims to examine why artificial intelligence-augmented human resource management (AI-HRM) digitization has mixed implications for employee performance. By drawing on person–environment fit theory and sensemaking theory, we propose a contingent dual-pathway model in which AI-HRM digitization affects employee performance through job-related cynicism and innovative job behavior, with task discretion shaping the pathways. Design/methodology/approach We tested the hypotheses by using three-wave time-lagged multisource survey data from full-time employees and their direct supervisors in China (N = 543 employee–supervisor dyads). Findings AI-HRM digitization has no significant direct relationship with employee performance when the mediating mechanisms are considered. Instead, the construct functions through two opposing indirect pathways, that is, a negative pathway through job-related cynicism and a positive pathway through innovative job behavior, with task discretion moderating both pathways. Specifically, high task discretion can weaken the cynicism-based pathway but strengthen the innovation-based pathway, whereas low task discretion can strengthen the cynicism-based pathway but weaken the innovation-based pathway or make it nonsignificant. Originality/value Our study advances a contingent dual-pathway model of AI-HRM digitization by showing that the same digital HR transformation mechanism can elicit defensive and proactive employee responses simultaneously. By identifying task discretion as a key boundary condition, the study can explain when AI-HRM digitization will undermine or enhance employee performance and thus moves beyond simple net-effect explanations for AI-HRM outcomes.","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"18 1","pages":"179-198"},"PeriodicalIF":5.9,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149021308","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