Journal of Enterprise Information Management最新文献

{"title":"Impact of employee acceptance of emerging technologies on sustainable performance of logistics enterprises: mediating role of green self-efficacy and behavior","authors":"Xuan Yang,Yun Huang","doi":"10.1108/jeim-11-2025-1156","DOIUrl":"https://doi.org/10.1108/jeim-11-2025-1156","url":null,"abstract":"Purpose Previous research has explored the role of technology in sustainable performance. Less attention has been paid to employees' acceptance of emerging technologies (ETA). The potential of technology is difficult to realize unless employees are willing to embrace it. This study investigates the relations between employees' technology readiness (ETR) and ETA, and corporate sustainable performance (CSP) in the logistics industry. Design/methodology/approach Drawing on an integrated framework of technology acceptance model (TAM) and social cognitive theory (SCT), this study develops a model linking individual cognition, green behavior and CSP. It examines whether ETR predicts ETA, whether ETA predicts CSP directly and indirectly through green self-efficacy (GSE) and employee green behavior (EGB), and whether person-organization fit (POF) moderates the effects of ETA on GSE and CSP. Three-wave time-lagged survey data from 552 logistics employees were analyzed using covariance-based structural equation modeling (CB-SEM). Findings The results show that ETR increases ETA. ETA improves CSP both directly and indirectly through GSE and EGB. In the full integrated structural model, the direct effect of GSE on CSP is not supported. However, supplementary analyses show that this path is unstable across subgroups and subsamples. This suggests that employees' green confidence needs to be translated into actual green behavior before it can reliably shape organizational outcomes. POF moderates the translation of ETA into both GSE and CSP. Originality/value This study reveals that logistics CSP depends not only on firm-level digital capabilities but also on employees' ETA and their subsequent engagement in EGB. It also provides practical guidance for logistics managers on enhancing ETR, strengthening GSE, designing behavior-based interventions, and improving the sustainable value of emerging technologies through stronger POF.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"9 1","pages":"1-44"},"PeriodicalIF":6.5,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899344","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":"Cyber-risk assessment and mitigation framework for critical information infrastructure: mixed-methods approach","authors":"Priyanka Srivastava,Arunabha Mukhopadhyay","doi":"10.1108/jeim-04-2026-0618","DOIUrl":"https://doi.org/10.1108/jeim-04-2026-0618","url":null,"abstract":"Purpose Distributed Denial of Service (DDoS) attacks on critical information infrastructures (CII) cause operational disruptions and result in financial and reputational damage to organisations. Our study provides an integrated framework to assess, quantify and mitigate the cyber-risk of DDoS attacks on CII organisations in the energy and power sectors. Our model adopts a socio-technological perspective and draws on protection motivation theory (PMT) and rational choice theory (RCT). Design/methodology/approach Our study adopts a mixed-method approach. In the quantitative section, we estimate the likelihood of misdetection of different DDoS attacks by using observable attackers’ strategy. These observations influence how CISOs implement the organisation’s cybersecurity posture and IT governance. Next, we compute the expected loss. Lastly, the study recommends CISO for various mitigation strategies based on the NIST Cybersecurity Framework by creating a 2×2 risk-impact heat matrix. Subsequently, Linear Programming is used to determine the priority of optimal allocation of investment across different mitigation strategies. In qualitative section, in-depth interviews with cybersecurity executives corroborate findings. Findings The likelihood of the misdetection of DDoS attacks by the CISO of an organisation is low. Most DDoS attacks result in small financial losses, but rare, severe incidents can cause disproportionately serious damage. The study further finds that organisations must invest in technological interventions, complemented by financial tools, to mitigate DDoS attacks. Originality/value The study uses a mixed-methods approach, combining quantitative analysis with executive interviews to assess the CISO's misdetection rate for DDoS attacks, compute the expected financial loss, and recommend a mitigation and investment strategy based on the NIST framework for CII organisations.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"10 1","pages":"1-27"},"PeriodicalIF":6.5,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899068","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":"Human–GenAI collaboration: a framework for engagement, self-regulation and ethical learning outcomes","authors":"Li Jianhong,Vaishali Agarwal,Ebtesam Abdullah A. Alzeiby,Adrienn Dernóczi-Polyák,Tuan Phong Nham","doi":"10.1108/jeim-11-2025-1148","DOIUrl":"https://doi.org/10.1108/jeim-11-2025-1148","url":null,"abstract":"Purpose Generative Artificial Intelligence is reshaping higher education by enabling new forms of collaboration between learners and intelligent systems. Drawing on Hybrid Intelligence and Self-Regulated Learning theories, this study proposes and empirically tests a Hybrid–Self-Regulation Model to explain how human–artificial intelligence collaboration influences engagement, self-regulation and learning outcomes. Specifically, the study examines how perceived collaborative artificial intelligence support, trust in artificial intelligence collaboration and artificial intelligence-enabled adaptive personalization drive collaborative engagement (CE), which in turn enhances self-monitoring (SM) and metacognitive reflection (MR). Design/methodology/approach Using data from 307 students across six countries, the study examines how Perceived Collaborative AI Support (PCAS), Trust in AI Collaboration (TAIC) and AI-Enabled Adaptive Personalization (AIAP) drive CE, which in turn enhances SM and MR. Findings The findings reveal that perceived collaborative artificial intelligence support, trust in artificial intelligence collaboration and artificial intelligence-enabled adaptive personalization significantly increase CE and CE strongly predicts SM and MR. MR further positively influences academic achievement, creativity and innovation and responsible and ethical problem-solving. Serial mediation analyses confirm that the impact of perceived collaborative artificial intelligence support and artificial intelligence-enabled adaptive personalization on learning outcomes is transmitted through CE, SM and MR. Originality/value This study contributes theoretical clarity on human–artificial intelligence co-learning mechanisms and offers practical guidance for designing artificial intelligence-enhanced, ethically grounded learning ecosystems in higher education.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"17 1","pages":"1-30"},"PeriodicalIF":6.5,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899070","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":"Technology governance, digital capabilities and strategic renewal: configurational pathways through a cascading capability architecture","authors":"Khodor Shatila,Nirjhar Nigam","doi":"10.1108/jeim-05-2026-0906","DOIUrl":"https://doi.org/10.1108/jeim-05-2026-0906","url":null,"abstract":"Purpose This study aims to develop and test a cascading capability-based model that examines how digital technological infrastructure, technology governance and dynamic capabilities sequentially produce innovation capability, agility capability, strategic adaptability and business model innovation. Design/methodology/approach A two-wave longitudinal design with a two-month interval yielded 300 matched responses from managers across multiple industries. PLS-SEM tested the sequential mediation structure, and fsQCA identified configurational pathways sufficient for each strategic outcome. Findings Dynamic capability and technology governance significantly drive innovation capability, which cascades into strategic adaptability and business model innovation through agility capability as a sequential mediator. Digital technological infrastructure has no significant effect once capability and governance variables are controlled for. fsQCA identifies five equifinal configurations per outcome. Research limitations/implications The two-month interval may not capture the full maturation cycles of capabilities. The multi-industry sample limits the analysis of industry-specific boundary conditions. Practical implications Organizations should prioritize governance design and dynamic capability development over infrastructure investment. Multiple combinatorial pathways exist for strategic renewal, accommodating organizations at different stages of digital maturity. Originality/value This study specifies and validates a cascading capability architecture through a longitudinal dual-method design, establishing technology governance as a capability-shaping mechanism and resolving contradictions in the IT governance and dynamic capabilities literature.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"44 1","pages":"1-24"},"PeriodicalIF":6.5,"publicationDate":"2026-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899071","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 role of artificial intelligence on supply chain resilience","authors":"Katerina Beta, Sakthi Shalini Nagaraj, Tharindu D.B. Weerasinghe","doi":"10.1108/jeim-12-2023-0674","DOIUrl":"https://doi.org/10.1108/jeim-12-2023-0674","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>Supply chains are facing several challenges due to disruptions and changing situations such as COVID-19 and the need for increased levels of resilience is more important than ever. This paper focuses on exploring the impact of artificial intelligence (AI) on supply chain resilience (SCR) through a review of the existing literature. To address the gap of AI on SCR, this study focused on answering the following two research questions: (1) What is the role of AI technologies in SCR? (2) What are the key ethical and social implications of AI that arise in the process of enhancing SCR?</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>This study collected relevant data available in the existing literature from peer-reviewed journals and articles on supply chain and AI. The study employed a systematic literature review (SLR) and qualitative thematic analysis to identify the key themes that generate relevant findings.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The study’s findings highlight that AI’s role in enhancing SCR is important in several areas, such as improved demand and supply forecasts, accurate problem-solving, increased efficiency of tasks and improved customer services, amongst others. However, AI does not come without limitations. Although it improves the resilience of supply chains, it also leads to ethical and social implications related to job displacement, privacy and security, biases and transparency.</p><!--/ Abstract__block -->\u0000<h3>Research limitations/implications</h3>\u0000<p>The study offers intriguing insights into closing the disparity between theory and practice, utilising a systematic approach to demonstrate how AI impacts the resilience level of supply chains.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study presents the positive impact that AI technologies have on enhancing the resilience of supply chains. Although there are challenges and ethical and social implications because of AI implementations, supply chains benefit from the use of AI and big data.</p><!--/ Abstract__block -->","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"124 1","pages":""},"PeriodicalIF":6.5,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631487","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":"Influence of Industry 4.0 on the success of new-age enterprises – a resource-based view","authors":"P.R.C. Gopal, Mohideen Rahmath Fathima, M. Ramkumar, Nripendra P. Rana","doi":"10.1108/jeim-08-2024-0462","DOIUrl":"https://doi.org/10.1108/jeim-08-2024-0462","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study aims to assess the influence of Industry 4.0 (I4.0) technologies using the resource-based view (RBV) framework to examine the impact of new-age enterprises. It means to investigate the impact of different resources on competitive advantages’ steering toward the contemporary business environment.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>The paper investigates the critical success factors (CSFs) for the efficient implementation of I4.0 technologies and the importance of technological resources. This paper applies the Grey-DEMATEL technique to examine each of these CSFs to better understand the cause-and-effect relationships therein and to come up with a holistic view of how the CSFs are interdependent.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The major findings reveal that Adventure Tendency, Continuous Improvement and Creative Technology Utilization play a major role in the success of new-age enterprises. The paper concludes with suggestions to align technological abilities with market needs, and the entrepreneurial skill-set into simultaneously utilizing I4.0 technologies for innovation and growth.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study contributes to the RBV framework literature by combining technological, human and organizational resources, specifically within I4.0, and offers theoretical and practical contributions for sustaining competitive advantage.</p><!--/ Abstract__block -->","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"23 1","pages":""},"PeriodicalIF":6.5,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631479","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":"Unleashing digital servitization and service innovation: how decision-making logics and organizational learning enable coping with implementation process complexities","authors":"Clemens Friedl, Paul Matthyssens, Wouter Van Bockhaven","doi":"10.1108/jeim-05-2024-0238","DOIUrl":"https://doi.org/10.1108/jeim-05-2024-0238","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study aims to explore how different decision-making logics (DML) and organizational learning (OL) styles are used and combined by project managers to navigate the complexities of Digital Servitization (DS) and Digital Service Innovation (DSI) projects. Specifically, the research shows the impact and interplay between the two managerial levers OL and team-level DML, and how these influence and substitute each other.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>It builds on a retrospective longitudinal study of project-level cases within a high-tech multinational company active in the aerospace industry and applies a systematic combining approach and narrative analysis of critical, decisive events. The research zooms in on the application of OL (i.e. adaptive versus generative learning) and DML (effectuation versus causation) while coping with the experienced complexity during the implementation process.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>Teams seek relief from complexities during the DS/DSI journeys by combining different managerial levers over time. The paper develops a mid-range theory with propositions and outlines practical recommendations.</p><!--/ Abstract__block -->\u0000<h3>Research limitations/implications</h3>\u0000<p>This study’s research limitations include its single-sector focus and reliance on a small number of case studies, which does not allow generalization across industries or different contexts. Future research should explore diverse industries and incorporate broader quantitative methods to validate the proposed managerial frameworks.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>A framework describing how managers alternate DML and OL styles during their DS/DSI transitions is developed. Contrary to earlier belief, the alternations of logics and styles do not follow a “predetermined sequence” as planned but are developing rather in a flexible, recurrent and emergent manner.</p><!--/ Abstract__block -->","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"16 1","pages":""},"PeriodicalIF":6.5,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631484","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":"Navigating the path to a greener future: unravelling the challenges and prospects of electric vehicle adoption in Indonesia","authors":"Donni Fajar Anugrah, Arnita Rishanty, Dian Rahmawati, Benny Tjahjono","doi":"10.1108/jeim-12-2024-0720","DOIUrl":"https://doi.org/10.1108/jeim-12-2024-0720","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>The transition from internal combustion engine (ICE) vehicles to electric vehicles (EVs) is a complex process influenced by the interplay of technical, social and economic factors. This study aims to identify the socio-technical factors shaping the transition from ICE vehicles to EVs and to propose plausible transition pathways within the Indonesian context.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>The study adopted an expert workshop method to gather data and co-develop the multi-level perspective (MLP) transition tool with workshop participants. The participants were carefully selected to represent diverse stakeholders, including government and industry representatives. They provided non-commercial data and insights, enriching the discussions, and ensuring a balanced and inclusive outcome.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The findings highlight the importance of understanding the multidimensional and multi-actor dynamics involved in this transition. The adoption of EVs in Indonesia is significantly influenced by socio-technical challenges, including existing policies, institutional frameworks, technological infrastructure and societal constraints. Addressing these challenges is crucial for ensuring a successful transition.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>This study offers actionable recommendations for policymakers, businesses and government agencies responsible for strategic economic development. These recommendations serve as a foundation to support future growth in the EV market and inform decisions aimed at fostering a greener road transportation ecosystem.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study enhances a holistic understanding of the complex socio-technical dynamics at play in the EV transition. It also advances innovation studies by addressing transitions within systems dominated by stable and robust ICE regimes. The MLP tools developed through this study serve as valuable instruments for articulating the role of various initiatives in driving transformative change.</p><!--/ Abstract__block -->","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"17 1","pages":""},"PeriodicalIF":6.5,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143569712","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":"Nexus between generative AI engagement, quality and expectation formation: an application of expectation–confirmation theory","authors":"Mai Nguyen, Ankit Mehrotra, Ashish Malik, Rudresh Pandey","doi":"10.1108/jeim-08-2024-0452","DOIUrl":"https://doi.org/10.1108/jeim-08-2024-0452","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>Generative Artificial Intelligence (Gen-AI) has provided new opportunities and challenges in using educational environments for students’ interaction and knowledge acquisition. Based on the expectation–confirmation theory, this paper aims to investigate the effect of different constructs associated with Gen-AI on engagement, satisfaction and word-of-mouth.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>We collected data from 508 students in the UK using Qualtrics, a prominent online data collection platform. The conceptual framework was analysed through structural equation modelling.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The findings show that Gen-AI expectation formation and Gen-AI quality help to boost Gen-AI engagement. Further, we found that active engagement positively affects Gen-AI satisfaction and positive word of mouth. The mediating role of Gen-AI expectation confirmation between engagement and the two outcomes, satisfaction and positive word of mouth, was also confirmed. The moderating role of cognitive processing in the relationship between Gen-AI quality and engagement was found.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This paper extends the Expectation-Confirmation Theory on how Gen-AI can enhance students’ engagement and satisfaction. Suggestions for future research are derived to advance beyond the confines of the current study and to capture the development in the use of AI in education.</p><!--/ Abstract__block -->","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"4 1","pages":""},"PeriodicalIF":6.5,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143560667","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":"Uncovering the antecedents to the effective use of business intelligence: lessons from a qualitative systematic review approach","authors":"Alexandra Adriani Widjaja, Amir Hossein Ghapanchi, Scott Bingley","doi":"10.1108/jeim-08-2024-0440","DOIUrl":"https://doi.org/10.1108/jeim-08-2024-0440","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study focuses on case studies to identify the antecedents to the effective use of business intelligence (BI). For decades, research has shown that post-adoption behaviour has a critical role in the success of technology adoption. Efforts have been drawn beyond intention and adoption point to the effective use of technology. In the case of BI adoption, its nature of discretional use adds complexity to the equation. Despite the statistical evidence provided, research has indicated the need for other approaches to shed light on the antecedents of BI’s effective use.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>This study employs a systematic review approach to synthesise 20 years of related works from three major research databases. It focuses on qualitative and mixed-method research to identify new avenues in the related topic.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The findings provide the taxonomy of the antecedents. It identifies 40 antecedents grouped into 8 categories: technology, operational support, resources, governance, strategic, individual behaviour, environment and culture. It also highlights several organisation-specific and individual-specific antecedents, such as analytic leadership, business vision, collaborative working culture, organisational learning culture and user trust.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>The study provides insight from interpretative case studies. It leverages the relevance of BI’s research to its practices. It offers new avenues in the BI post-adoption studies at the organisational and the individual level of analysis.</p><!--/ Abstract__block -->","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"193 1","pages":""},"PeriodicalIF":6.5,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546320","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}