Journal of Enterprise Information Management最新文献

{"title":"Beyond usefulness: cognitive and emotional correlates of AI use intentions among HR professionals","authors":"René Arseneault,Houssem Eddine Ben Messaoud","doi":"10.1108/jeim-07-2026-1316","DOIUrl":"https://doi.org/10.1108/jeim-07-2026-1316","url":null,"abstract":"Purpose Artificial intelligence (AI) is transforming human resource management (HRM), yet the cognitive and psychological factors associated with human resource (HR) professionals’ intentions to use AI remain incompletely understood. Drawing on the Technology Acceptance Model (TAM) and appraisal perspectives, this study examines the relative associations of Cognitive Evaluation, AI-Use Anxiety, AI-Related Job Insecurity, organizational AI use across HR functions, and AI Knowledge with behavioral intention to use AI. It also explores whether AI Knowledge moderates these relationships. Design/methodology/approach Survey data were collected from 285 HR professionals. Confirmatory factor analyses assessed the measurement structure of the study constructs, followed by hierarchical moderated regression analyses examining their unique associations with behavioral intention and the exploratory moderating role of AI Knowledge. Findings Cognitive Evaluation, reflecting perceived usefulness and ease of use, showed the strongest unique association with behavioral intention to use AI. AI-Use Anxiety demonstrated a smaller negative association, whereas AI-Related Job Insecurity, AI Use Across HR Functions, and AI Knowledge did not explain significant unique variance once the competing predictors were considered simultaneously. The comprehensive model explained 66.8% of the variance in behavioral intention. The exploratory interaction analyses provided no clear evidence that AI Knowledge systematically moderated the relationships examined. Practical implications Organizations implementing AI in HR should address both employees’ evaluations of the technology and apprehension surrounding its use. Implementation strategies should demonstrate the practical usefulness and usability of AI through role-specific examples, hands-on training, and opportunities to experiment with AI tools in realistic HR contexts. Organizations should also recognize AI-use anxiety as a distinct potential barrier by providing accessible support, low-risk opportunities for familiarization, and clear communication throughout implementation. These strategies may help create conditions that support employees’ willingness to use AI. Originality/value This study extends research on AI use intentions by examining cognitive, emotional, knowledge-related, and organizational-exposure factors simultaneously rather than in isolation. The findings show that HR professionals’ intentions to use AI are most strongly associated with evaluations of its usefulness and usability, while AI-use anxiety represents a smaller but distinct negative correlate. By distinguishing AI-use anxiety from AI-related job insecurity and individual AI knowledge from organizational AI exposure, the study provides a more differentiated account of the factors associated with HR professionals’ intentions to use AI.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"15 1","pages":"1-22"},"PeriodicalIF":6.5,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210736","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":"Corporate ethical and responsible AI (CERAi) and AI trustworthiness: a lifecycle perspective and empirical insights","authors":"Rupak Rauniar,Ray Qing Cao,Steve Bin Zhou,Amaani Rauniar","doi":"10.1108/jeim-05-2026-0911","DOIUrl":"https://doi.org/10.1108/jeim-05-2026-0911","url":null,"abstract":"Purpose This study develops and empirically validates a Corporate Ethical and Responsible AI (CERAi) lifecycle framework. The framework comprises three interdependent stages: design and development, testing and training, and deployment and usage. The study aims to move the research beyond abstract principles and policy analyses toward empirically grounded, lifecycle-integrated artificial intelligence AI governance theory. It positions ethical AI and responsible AI governance as the two constitutive components of the CERAi construct, and AI trustworthiness as a conceptually and empirically distinct downstream outcome anchored in stage-specific organizational governance mechanisms. The CERAi framework is scoped broadly to encompass governance of both conventional/traditional machine learning models and autonomous AI agents operating within organizational settings. Design/methodology/approach We administered a large-scale survey to 500 attendees at a national AI conference in the United States in early 2026, yielding 143 useable responses from AI professionals across healthcare, financial services, manufacturing, retail and energy sectors. We developed and validated multi-item scales for each CERAi lifecycle stage using established ethical AI and AI governance frameworks. Structural equation modeling was employed to assess the measurement model and to test both direct path hypotheses and mediation hypotheses. Findings Both CERAIi design and development and CERAi deployment and usage have significant positive direct effects on AI trustworthiness, whereas CERAi testing and training do not. Our results also indicate a significant serial mediation pathway in which CERAi deployment and usage enhance AI trustworthiness through testing and training, followed by design and development. Conversely, testing and training alone do not mediate the relationship between deployment and usage and AI trustworthiness, indicating that design-stage ethics serve as an intervening (mediating) mechanism through which governance activity enacted at later lifecycle stages is associated with perceived AI trustworthiness. This is consistent with testing and training's association with trustworthiness operating indirectly, mediated by the ethical architecture established during the design and development stage. Originality/value Findings of this study demonstrate that AI trustworthiness reflects differentiated perceived salience across AI lifecycle stages, whereby stakeholders appear to weight visible, deployment-stage governance more heavily than upstream design and testing stage governance in forming trustworthiness judgments, rather than reflecting a definitive validation that governance effects accumulate uniformly across all stages in isolation. This study makes a distinctive contribution by providing empirical evidence for a governance-sequencing mechanism, whereby design-stage ethics function as a mediating pathway shaping the effectiveness of governance activity at late","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"39 1","pages":"1-30"},"PeriodicalIF":6.5,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210611","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":"From ESG orientation to sustainable enterprise value creation: the role of digital innovation capability","authors":"Catherine Prentice,Ishfaq Bhat","doi":"10.1108/jeim-06-2026-1064","DOIUrl":"https://doi.org/10.1108/jeim-06-2026-1064","url":null,"abstract":"Purpose Drawing on institutional, dynamic capability, and social cognitive theories, this study examines the effects of environmental, social, and governance (ESG ) orientation, institutional pressure, and entrepreneurial self-efficacy on sustainable entrepreneurial outcomes through Digital Innovation Capability (DIC). Design/methodology/approach Data were collected from 673 entrepreneurs across manufacture and service sectors. The study employs various statistical analyses to analyse the proposed relationships and evaluate the mediation role of digital Innovation Capability in linking the antecedent factors to Sustainable Entrepreneurial Performance and Long-term Value Creation. Findings The findings confirm the mediation of digital innovation capability in the relationships between ESG orientation, institutional pressure, entrepreneurial self-efficacy, and the two outcome variables. Among the antecedents, ESG orientation exerts the strongest influence on digital innovation capability, followed by institutional pressure and entrepreneurial self-efficacy. Practical implications The study shows that long-term value creation depends on a distinct configuration of the same antecedents, in which institutional pressure retains a direct, legitimacy-based path alongside the capability-mediated route, indicating that durable value creation is not governed by the same mechanism as current-period performance. Originality/value The study advances understanding by differentiating a capability-mediated pathway from a legitimacy-mediated pathway through which ESG orientation, institutional pressure, and entrepreneurial self-efficacy contribute to sustainable performance and long-term value creation. The results indicate these pathways exert distinct effects across outcomes rather than functioning as a uniform explanatory mechanism.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"3 1","pages":"1-26"},"PeriodicalIF":6.5,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210741","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":"Configurational pathways to digital entrepreneurial performance in five Middle Eastern countries: a fuzzy-set qualitative comparative analysis","authors":"Khodor Shatila","doi":"10.1108/jeim-07-2026-1383","DOIUrl":"https://doi.org/10.1108/jeim-07-2026-1383","url":null,"abstract":"Purpose Digital entrepreneurship in the Middle East and North Africa (MENA) region is increasingly shaped by combinations of technological, organizational, and institutional conditions that operate conjecturally rather than independently. While prior variance-based research has examined the linear effects of digital infrastructure quality, entrepreneurial capabilities, innovation orientation, and regulatory support on digital entrepreneurial performance, the configurational conditions through which high performance is produced and prevented remain unexplored. This study identifies which combinations of conditions are sufficient for high and low digital entrepreneurial performance in MENA digital ventures, and whether success and failure pathways are causally asymmetric. Design/methodology/approach Drawing on survey data from 296 digital ventures across five Middle Eastern countries, the study applies fuzzy-set qualitative comparative analysis (fsQCA) to identify multiple sufficient causal pathways. The configurational model conceptualises digital entrepreneurial performance as an emergent outcome arising from different combinations of four conditions: digital infrastructure quality, digital entrepreneurial capabilities innovation orientation, and regulatory support. Findings Four equifinal configurations are sufficient for high digital entrepreneurial performance and three configurations are sufficient for its absence. No single condition is universally necessary in kind. Success and failure pathways are causally asymmetric no failure configuration is the logical inverse of any success configuration. Regulatory support presents the clearest asymmetric pattern, enabling performance through three distinct combinatorial mechanisms while its absence compounds failure through two distinct deficit pathways. Originality/value This study is among the first to apply fsQCA to digital entrepreneurship in MENA, providing empirical support for equifinality, causal asymmetry, and configurational complexity in a context dominated by symmetric variable-oriented analysis. The findings demonstrate that high and low digital entrepreneurial performance emerge through fundamentally distinct causal recipes, with important implications for complexity theory, dynamic capabilities theory, and institutional theory in emerging market contexts.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"27 1","pages":"1-21"},"PeriodicalIF":6.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210664","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":"Digital transformation factors: how regulation is addressed in initiatives","authors":"Maria Cavalcante,João Varajão,Luis Silva Rodrigues,Nilton Takagi","doi":"10.1108/jeim-06-2026-1136","DOIUrl":"https://doi.org/10.1108/jeim-06-2026-1136","url":null,"abstract":"Purpose This study examines how regulation is addressed in digital transformation (DT) initiatives, identifying the regulatory factors that are considered within digital transformation initiatives and framing regulation as a core dimension of digital governance. Design/methodology/approach A quantitative research design was employed, combining a narrative literature review with empirical validation through a survey of 205 professionals involved in DT projects in two countries. Data were collected using a seven-point Likert-scale questionnaire and analyzed using descriptive statistics to identify patterns and assess the relevance of regulatory factors. Findings The findings reveal that organizations strongly prioritize regulatory compliance, data protection, and digital governance as key regulatory dimensions emphasized within DT initiatives. These elements are associated with ensuring security, ethics, and organizational legitimacy. However, aspects such as internal policy updates, regulatory influence on strategic decisions, and challenges related to regulatory obsolescence receive comparatively less emphasis, highlighting gaps in adaptive and strategic regulatory integration. Research limitations/implications This study advances the theoretical understanding of digital transformation by establishing regulation as a multidimensional and integral component of DT initiatives. It provides empirical support for a structured set of regulatory factors (such as compliance, data protection, governance, and regulatory risk management), demonstrating their differentiated integration within organizations. Practical implications The results provide actionable guidance for managers by emphasizing the integration of compliance, data protection, and governance mechanisms into DT initiatives from early stages. They also highlight the need to strengthen internal policy alignment and responsiveness to evolving regulatory environments. Originality/value This study contributes by conceptualizing regulation as an internal and active dimension of DT rather than merely an external constraint. It proposes and empirically validates a structured set of regulatory factors and offers a replicable instrument that bridges legal compliance and technological innovation, supporting more sustainable and effective digital governance.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"16 1","pages":"1-21"},"PeriodicalIF":6.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210508","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":"How leadership styles affect green supply chain management and innovation: the mediating role of green intellectual capital","authors":"Ali E. Akgün,Yesim Can Saglam,Sibel Yildiz Çankaya","doi":"10.1108/jeim-03-2026-0383","DOIUrl":"https://doi.org/10.1108/jeim-03-2026-0383","url":null,"abstract":"Purpose Green intellectual capital (GIC) and green leadership styles are vital strategic resources that enable firms to strengthen their sustainable competitive advantage by fostering environmental innovation and long-term value creation. This research presents a theoretical framework to examine the relationships among GIC components, green leadership styles, green supply chain management (GSCM), and green innovation (GI), grounded in the natural resource-based view and upper echelons theory. Design/methodology/approach This study employed a quantitative, cross-sectional survey design to examine the proposed relationships. Data were collected through an online questionnaire from 195 manufacturing firms across diverse industrial sectors in Türkiye. The proposed research model was evaluated using structural equation modeling (SEM) in Jamovi. Findings Our findings indicate that both green transactional and transformational leadership significantly and positively associated with the components of GIC. Specifically, green customer management has a strongly and positively associated with GI, whereas green supplier management shows no significant relationship with GI. Moreover, both green human capital (GHC) and green relational capital (GRC) partially mediate the relationship between green transformational leadership and GSCM (green supplier management and green customer management). Additionally, these dimensions partially mediate the relationship between green transactional leadership and green customer management and fully mediate the relationship between green transactional leadership and green supplier management. Originality/value This research contributes to the GSCM literature by integrating green leadership styles, GIC, and GI within a unified framework and examining the distinct roles of green human capital and green relational capital in the relationships between leadership and GSCM outcomes.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"12 1","pages":"1-27"},"PeriodicalIF":6.5,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210665","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":"Predicting the patient’s remaining length of stay for real-time decision-making: a process mining approach","authors":"Rosalinda Iachetta,Erica Mazzola,Manfredi Bruccoleri,Marco Mezzatesta,Astrid Pietrosi","doi":"10.1108/jeim-09-2025-0938","DOIUrl":"https://doi.org/10.1108/jeim-09-2025-0938","url":null,"abstract":"Purpose This research aims to develop a structured methodology to estimate the remaining length of stay (RLoS) throughout a patient’s care journey, thereby providing decision-makers with timely information to support real-time operations. Design/methodology/approach We developed a structured methodology for predictive process monitoring based on advanced process mining techniques. To test our method, we conducted a case study at a major Italian transplant hospital, extracting a dataset of 31,521 real events from 4,809 surgical patients using several hospitals' information systems. Findings Our results show that RLoS estimates become more accurate as the care process unfolds, offering valuable insights for real-time decision-making. Research limitations/implications Findings derive from single-procedure surgical pathways at one specialized center, with lower accuracy for prolonged stays that often end in transfer rather than discharge. Future research should address multicentre validation, competing terminal events and concept drift. Practical implications The proposed structured methodology transforms hospital event logs into real-time operational insights for the management of surgical inpatients, whose care unfolds through a defined pre-operative, operative, and post-operative sequence. Within this scope, it supports more proactive bed management, patient flow coordination, and resource allocation. Originality/value The study advances real-time decision-making in hospital operations by bringing predictive process monitoring to bear on RLoS estimation. It reframes RLoS prediction as a process-aware task that draws on the heterogeneous, sequentially unfolding events of the care pathway, generating multi-stage estimates along the care pathway.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"162 1","pages":"1-32"},"PeriodicalIF":6.5,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210510","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":"Patterns of RPA adoption: a qualitative comparison between India and North America","authors":"Chitra Sharma,Sangeeta Shah Bharadwaj,Narain Gupta,Hemant Jain","doi":"10.1108/jeim-04-2026-0704","DOIUrl":"https://doi.org/10.1108/jeim-04-2026-0704","url":null,"abstract":"Purpose Robotic process automation (RPA) is a deterministic technology that is expected to build synergies with probabilistic technologies such as agentic AI. The study aims to investigate how organizations embark on the RPA journey, implement RPA, and support RPA through changes in organization structure, roles, and skills. Design/methodology/approach Our study is based on thematic analysis complemented by a qualitative case-based research design. Empirically, the study draws on 30 in-depth interviews with senior leadership representatives from 30 distinct organizations, ensuring balanced representation across geographies. Findings We find similarities and differences in the patterns of adoption of RPA in India and North America. The presence of a relative advantage and strategy for deployment emerge as necessary conditions for business case development and implementation of RPA. Top management support and having a centre of excellence are common configurations for organization support in both locations. Originality/value We contribute methodological support on approaches to study emerging technology adoption. Our study provides alternate paths for practitioners to design their unique journey of RPA adoption in India and North America. Since RPA lies on the AI continuum, this study is relevant for the adoption of other AI technologies in the AI ecosystem.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"15 1","pages":"1-35"},"PeriodicalIF":6.5,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210512","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":"Hashtags of hope: technology, stakeholders and disaster response","authors":"Deepak Srivastav,Lijo John,Anand Gurumurthy","doi":"10.1108/jeim-02-2026-0205","DOIUrl":"https://doi.org/10.1108/jeim-02-2026-0205","url":null,"abstract":"Purpose This research examines how individuals exercised digital agency by reaching out to emergent actors on Twitter  (now called as X), and how this reshapes understandings of stakeholder salience in humanitarian supply chain management (HSCM) during disaster response for humanitarian organisations. Design/methodology/approach A corpus of 120,057 tweets collected via hashtag-based Application Programming Interface extraction is analysed through three complementary methods: (1) descriptive frequency analysis of stakeholder callout patterns, (2) social network analysis (SNA) and (3) topic modelling to establish the purposive, humanitarian intent of the identified interactions. Findings Affected populations directed the majority of callouts to celebrities, exceeding appeals to government, media and NGOs. Accounts of the top celebrities structurally bridged disconnected stakeholder clusters. Finally, the interactions were found to be purposive and humanitarian, spanning direct appeals, donation mobilisation, information diffusion and volunteer coordination. Practical implications Humanitarian organisations should establish pre-crisis partnership agreements with verified celebrity amplifiers and invest in specialist digital intelligence intermediation units, structurally separate from operational command, to filter, verify and route social-media-sourced signals to field commanders. Social implications The study contributes to debates on inclusive, participatory disaster governance and the use of technology to reduce information asymmetry that systematically disadvantages the most vulnerable. Originality/value This study makes two original contributions. First, it extends the Power-Legitimacy-Urgency framework by introducing network amplification power, a normative, relational power modality distinct from institutional command authority, thereby formally incorporating technology-mediated, non-institutional actors into stakeholder theory. Second, it grounds this theoretical extension in multi-method empirical evidence, combining SNA, latent Dirichlet allocation topic modelling and inferential statistics on a large-scale, real-world corpus of disaster communication.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"10 1","pages":"1-29"},"PeriodicalIF":6.5,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149210511","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":"Reframing responsible GenAI as ethical fit: integrating human collaboration, trust and dynamic capabilities for sustainable business performance","authors":"Yang Shiqi,Sushant kumar Vishnoi,Ankit Mehrotra,Norah Albishri,Irma Potháczky Rácz","doi":"10.1108/jeim-11-2025-1129","DOIUrl":"https://doi.org/10.1108/jeim-11-2025-1129","url":null,"abstract":"Purpose This research grounds on person-environment fit theory, to examine the effects of employee GenAI collaboration, GenAI trust and dynamic capability on business performance through the mediating role of responsible and explainable GenAI (REGAI). Design/methodology/approach Data were collected from 315 professionals via the Prolific Academic platform using purposive sampling. The hypothesized model was tested using covariance-based structural equation modeling (CB-SEM). Findings The results demonstrate that GenAI trust, dynamic capability, and employee-GenAI collaboration significantly enhance REGAI, which in turn exerts a strong positive impact on business performance. Dynamic capability directly influences performance, while employee-GenAI collaboration and GenAI trust exert indirect effects through REGAI. Originality/value The research highlights that strengthening algorithmic transparency, fostering employee GenAI partnership and embedding ethical justice into GenAI governance can jointly create “ethically intelligent” organizations.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"32 1","pages":"1-28"},"PeriodicalIF":6.5,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149151679","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}