Journal of Enterprise Information Management最新文献

{"title":"A semiotics-informed conceptual maturity model for industrial IoT integration","authors":"Himashi Sandamini Widana Kankanamge,Alireza Nili,Kevin C. Desouza,Wasana Bandara,Alistair Barros","doi":"10.1108/jeim-11-2025-1147","DOIUrl":"https://doi.org/10.1108/jeim-11-2025-1147","url":null,"abstract":"Purpose This study aims to develop a descriptive maturity model for evaluating the integration of IIoT technologies within enterprise environments. Although IIoT enables data-driven and automated operations, integration remains complex because of technological and organisational interdependencies. Existing models lack conceptual consistency and provide limited insight into operational integration. The study therefore proposes a theory-informed maturity model, specifically focused on IIoT integration into business operations. Design/methodology/approach The study uses a maturity model development methodology guided by design science research. It draws on literature-based insights to develop the initial model components and applies a theoretical foundation to interpret and structure the model dimensions. The model was then evaluated and refined through two design cycles involving expert interviews. Findings The maturity model comprises four dimensions: physical object, data, process and business service, organised and interpreted using the Semiotic Ladder and five maturity levels: pre-pilot, pilot, operational, organisation-scale and ecosystem-scale. It also identifies the key capabilities required to effectively integrate IIoT into business operations. Originality/value This study develops a theory-informed maturity model based on the semiotic ladder of organisational semiotics, offering a novel semiotics-based perspective for conceptualising and assessing IIoT maturity. It explicitly focuses on the integration of IIoT into business operations, emphasising the key dimensions required to support this integration.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"473 1","pages":"1-27"},"PeriodicalIF":6.5,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933944","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":"Beyond efficiency: interactional foundations of fairness, accountability and transparency in AI-supported performance evaluation","authors":"Md Irfanuzzaman Khan,Robin Ladwig","doi":"10.1108/jeim-03-2026-0476","DOIUrl":"https://doi.org/10.1108/jeim-03-2026-0476","url":null,"abstract":"Purpose This study examines how features of AI-supported performance evaluation relate to managers' judgements of fairness, accountability and transparency (FAT), and how these judgements relate to trust. Design/methodology/approach Survey data were collected from 289 Australian managers using a standardised performance-evaluation scenario. The hypothesised model, indirect effects, moderation effects, alternative specifications and out-of-sample prediction were assessed using PLS-SEM. Findings Interaction quality, human agency and perceived humanness were positively associated with all three FAT dimensions, whereas voice was associated only with transparency. All three FAT dimensions were positively associated with trust, with transparency showing the largest coefficient. Most specific indirect effects were significant, but task complexity and perceived uncanniness did not moderate the FAT–trust relationships. Human agency showed slightly greater unique explanatory value than voice, while the overall FAT appraisal in the exploratory collective model was strongly associated with trust. Research limitations/implications The cross-sectional research design identifies associations rather than causal effects, while the Australian, AI-experienced sample limits generalisability. Practical implications Organisations should combine understandable interaction with contextual sensitivity, human review, documented override authority, traceable responsibility and credible appeal mechanisms. Originality/value This study brings together human–AI interaction factors to explain trust in AI-supported evaluations. It shows that fairness, accountability and transparency make distinct contributions to trust, while their combined contribution can also be represented as an overall FAT appraisal.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"12 1","pages":"1-29"},"PeriodicalIF":6.5,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933954","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":"Problematisation and reconfiguration of knowledge in AI-embedded agile software development","authors":"Fangyuan Shen,Tingyu Quan","doi":"10.1108/jeim-04-2026-0622","DOIUrl":"https://doi.org/10.1108/jeim-04-2026-0622","url":null,"abstract":"Purpose Agile software development research increasingly treats artificial intelligence (AI) as a knowledge-creating agent yet rarely examines how its outputs become credible project knowledge. Design/methodology/approach Grounded in the knowledge-based view (KBV), this paper adopts a two-study design. Study 1 systematically reviews 33 Q1 journal articles, using the Antecedents-Decisions-Outcomes (ADO) framework to map reported patterns and a problematisation analysis to derive six theory-informed, structured factors. Study 2 then applies fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) with 52 screened software practitioners to examine their perceptions of the directional relationships among those factors. Findings Study 1 establishes four problematisations and conceptually derives six factors shaping knowledge outcomes: AI intensity of use, explainability and transparency, team decision autonomy, trust, governance tightness, and agile performance. Study 2 indicates that trust has the highest prominence in the pre-specified network. Research limitations/implications The paper extends the KBV through a problematisation that distinguishes computational outputs from credible project knowledge and derives structured factors shaping knowledge outcomes in AI-embedded agile projects. The paper also develops an agility paradox linking reactive, efficiency-oriented AI adoption to potential constraints on proactive agile capabilities. Practical implications AI-generated outputs should be treated as provisional knowledge that requires contextual review. Software firms could pilot a lightweight validation record for consequential AI-supported decisions, review these records during retrospectives, and calibrate governance. Originality/value The paper's originality lies in reframing AI in agile software development work as a question of knowledge credibility, decision authority, trust and governance.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"25 1","pages":"1-31"},"PeriodicalIF":6.5,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933945","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":"Vendors as institutional actors: how external providers enable enterprise blockchain assimilation and institutionalisation","authors":"Colin Callinan,Trevor Clohessy,Amaya Vega,Graham Heaslip","doi":"10.1108/jeim-02-2026-0281","DOIUrl":"https://doi.org/10.1108/jeim-02-2026-0281","url":null,"abstract":"Purpose Despite extensive experimentation, many enterprise blockchain initiatives fail to progress beyond proof of concept. While prior research has focused on adoption determinants, less is known about how blockchain becomes embedded in organisational routines and scaled across inter-organisational environments. This paper examines how external vendors contribute to and shape progression from initial exploration to routinised and institutionalised use. Design/methodology/approach The study adopts an interpretive qualitative design grounded in staged technology assimilation and institutional theory. Data were collected through semi structured interviews with vendor-side professionals across infrastructure providers, consultants, application developers, legal specialists and standards actors. An abductive analysis was conducted to examine how vendor activities evolve across assimilation stages and mediate institutional pressures. Findings Interview accounts suggest that vendors act as conditional institutional actors performing stage-contingent work. Participants described vendors as reducing cognitive uncertainty through education, constructing legitimacy and organisational alignment, simplifying technical complexity through abstraction and supporting governance through monitoring and compliance mechanisms. At later stages, vendors support coordination across organisational boundaries and contribute to ecosystem legitimacy. Participants described these activities as responses to different institutional pressures that evolve over time, helping organisations move from early experimentation towards broader enterprise integration. Originality/value The study extends assimilation theory by showing, from vendor accounts, how vendors may play a sustained but varying role across assimilation patterns. It advances institutional theory by showing how institutional work is distributed and cumulative over time. It conceptualises vendors as conditional institutional actors and provides a stage-based framework to guide enterprise adoption and management.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"40 1","pages":"1-20"},"PeriodicalIF":6.5,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933955","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":"Building organizational trust in generative AI in female-led cybersecurity startups: dual pathways of ethical responsibility and privacy assurance","authors":"Tahereh Hasani,Mohammad Mohammadi","doi":"10.1108/jeim-03-2026-0424","DOIUrl":"https://doi.org/10.1108/jeim-03-2026-0424","url":null,"abstract":"Purpose This study examines how organizational trust in generative AI is built in high-stakes entrepreneurial settings, particularly female-led cybersecurity startups, through ethical responsibility and privacy assurance as complementary governance pathways. Design/methodology/approach Survey data were collected from 288 mid- and senior-level managers in female-led cybersecurity startups across North America and Europe. The model was estimated using partial least squares structural equation modeling (PLS-SEM) in SmartPLS 3.2.8 with 5,000 bootstrap subsamples. Findings Responsible entrepreneurial leadership and cybersecurity innovation practices both positively predict organizational trust in generative AI. Perceived ethical responsibility and perceived privacy assurance carry significant indirect effects, respectively. The conditional indirect effects increase across higher levels of gender diversity climate and regulatory environment, and both indices of moderated mediation have 95% BCa confidence intervals that exclude zero. Research limitations/implications The study relies on cross-sectional perceptual data from a specific organizational context. Future research should test the model longitudinally, incorporate objective governance indicators and examine broader organizational and institutional settings. Practical implications Organizations can strengthen trust in generative AI by institutionalizing ethical responsibility and developing credible privacy assurance practices. Supportive diversity climates and clear regulatory conditions further enhance the effectiveness of these trust-building mechanisms. Social implications The findings highlight the importance of responsible and privacy-protective AI governance in high-stakes domains, where trustworthy deployment can reduce misuse concerns and strengthen stakeholder confidence. Originality/value The study develops and tests a dual-pathway moderated mediation model of organizational trust in generative AI, showing how ethical responsibility and privacy assurance jointly shape trust under specific organizational and regulatory conditions.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"23 1","pages":"1-24"},"PeriodicalIF":6.5,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933957","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 AI in advancing sustainable finance and environmental management impact: an analysis of leading construction firms on the London stock exchange","authors":"Bahareh Hosseinnezhad Nedaei,Albert Amanollahnejad,Javad Izadi","doi":"10.1108/jeim-04-2026-0524","DOIUrl":"https://doi.org/10.1108/jeim-04-2026-0524","url":null,"abstract":"Purpose The construction industry faces increasing pressure to align business practices with sustainable finance objectives and environmental responsibility. This study aims to investigate how major construction firms listed on the London Stock Exchange (LSE) disclose and position artificial intelligence (AI) technologies in relation to sustainable finance initiatives and environmental management practices. Design/methodology/approach Guided by the Resource-Based View (RBV) and Stakeholder Theory, the study employs qualitative content analysis of sustainability reports, ESG disclosures, and annual reports published between 2021 and 2024 by 23i LSE-listed construction firms. An iterative coding process was used to identify key themes and cross-case patterns relating to reported AI-enabled sustainability practices. Findings Four major themes emerged from the analysis: AI-driven environmental innovation; AI integration into sustainable finance mechanisms; strategic positioning and stakeholder communication of AI-enabled sustainability; and AI-supported environmental risk monitoring and compliance. The findings suggest that firms increasingly position AI as supporting environmental performance, sustainability reporting, stakeholder engagement, and sustainability-oriented governance. Cross-case analysis further revealed differences in the reported scope, maturity, and strategic framing of AI-enabled sustainability initiatives across firm categories, ranging from integrated systems to targeted applications, pilot initiatives, and future-oriented commitments. These differences are interpreted as indicative disclosure patterns rather than evidence of firm-size effects or independently verified differences in technological capability. Research limitations/implications This study advances scholarly understanding by demonstrating that AI reshapes traditional models of sustainable corporate strategy, underscoring the critical role of digital innovation at the intersection of environmental governance, financial accountability, and stakeholder engagement. Originality/value This study provides a novel perspective on the role attributed to AI within sustainability-oriented organisational contexts by examining how firms report and position AI in relation to environmental management, sustainable finance activities, and stakeholder communication. Rather than focusing solely on operational efficiency, the study highlights the strategic and communicative dimensions of AI within corporate sustainability narratives. The research provides empirical evidence relevant to RBV and Stakeholder Theory within the digitalisation context of the construction sector, while highlighting the importance of disclosure credibility, sustainability assurance, organisational legitimacy, and the potential for technology-enabled impression management.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"60 1","pages":"1-28"},"PeriodicalIF":6.5,"publicationDate":"2026-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899297","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":"Big data analytics capability and competitive advantage in an emerging economy: evidence from the dairy industry","authors":"Ibrahim M. Awad,Ala Awad,Mahmoud El-Jafari,Bashar Abdallah","doi":"10.1108/jeim-04-2026-0711","DOIUrl":"https://doi.org/10.1108/jeim-04-2026-0711","url":null,"abstract":"Purpose This study investigates how big data analytics capability appears to support competitive strategy development in the Palestinian dairy industry, focusing on the role of data utilization in developing organizational capabilities, creating value and positioning the firm strategically. Design/methodology/approach This study adopts an exploratory multiple-case study approach supported by descriptive survey evidence and Visualization-Based Pattern Analysis. Data were collected through unstructured interviews with managers and employees from leading Palestinian dairy companies, alongside descriptive questionnaire-based evidence. The qualitative findings were analyzed using thematic and VRIO-based analysis to identify patterns related to big data practices, capability development, organizational maturity and competitive strategy dimensions. Findings The findings indicate that participating firms recognize the value of data for customer understanding, product development and operational decision-making. However, analytics practices remain fragmented and rely largely on conventional or manual processes. Limited system integration, analytical expertise, data governance and real-time processing restrict the incorporation of analytics into organizational routines and strategic decision-making. These conditions reflect a gap between awareness of data's potential value and the development of integrated analytics capabilities. Practical implications Managers should prioritize the gradual integration of customer, operational and market data, supported by appropriate infrastructure, analytical skills and governance procedures. These measures may improve the consistency of data-informed decision-making, operational coordination, customer responsiveness and market positioning. Originality/value This study provides context-specific empirical evidence on data utilization and analytics capability development within the Palestinian dairy industry, an underexplored resource-constrained setting. Its primary contribution is contextual rather than the development of a new theoretical construct. The study uses the term data maturity gap as an interpretive lens to organize evidence on the disconnect between firms' recognition of data value and their ability to integrate analytical, technological and organizational capabilities. The findings illustrate how mechanisms already identified by the Resource-Based View, Dynamic Capabilities Theory, absorptive capacity and analytics maturity research operate within this particular industrial context.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"34 1","pages":"1-24"},"PeriodicalIF":6.5,"publicationDate":"2026-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899298","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 platform capability and knowledge integration in large firms: a multi-case study of UK technology companies","authors":"Naheed Bashir,Ghadeer R. Alsaeed","doi":"10.1108/jeim-04-2026-0646","DOIUrl":"https://doi.org/10.1108/jeim-04-2026-0646","url":null,"abstract":"Purpose Large firms invest heavily in digital platforms but struggle to govern information flows, integrate external knowledge, and convert infrastructure into enterprise innovation capability. This study aims to examine how UK technology firms build digital platform capability (DPC) to support knowledge integration and innovation management. Design/methodology/approach A qualitative multiple-case study of five large UK technology firms, drawing on 46 elite interviews (June 2023–April 2024), 20 annual reports (2020–2024), and public digital traces. Abductive analysis using NVivo 12 developed a technology–organization–environment–dynamic capabilities view–institutional pressures (TOE-DCV-IP) framework integrating technological compatibility, organisational orchestration, and institutional pressures. Findings DPC emerges when technological compatibility (application programming interface (API)/legacy alignment) combines with organisational mechanisms (leadership orchestration, absorptive capacity, boundary-spanning roles) to convert institutional pressures into platform governance routines. Firms A and B showed smoother rollout progression and fewer reported integration difficulties under stronger cross-functional governance, whereas Firms C and D experienced greater implementation friction under weaker integration conditions. Orchestration resolves TOE framework's process limitations by linking contexts to dynamic capability processes. Research limitations/implications The TOE-DCV-IP framework extends enterprise information management literature by explaining DPC as a governance capability rather than an adoption outcome. It clarifies how orchestration integrates external knowledge and legitimises platform-based innovation under regulatory and competitive pressures. Practical implications The managerial implications follow directly from the TOE-DCV-IP framework. First, managers should conduct compatibility audits and sequence interface integration because technological alignment determines whether external knowledge can move effectively across legacy and platform systems. Second, firms should formalise cross-functional decision rights, leadership prioritisation, and boundary-spanning roles because orchestration is the mechanism through which platform investments are converted into repeatable governance routines. Third, managers should translate regulatory and competitive pressures into API rules, participation protocols, and absorptive knowledge-integration routines rather than treating those pressures as stand-alone compliance demands. Originality/value Grounded in multi-case evidence, this study advances a process-based explanation of how large firms convert digital platform investments into governance capability for enterprise knowledge integration.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"9 1","pages":"1-25"},"PeriodicalIF":6.5,"publicationDate":"2026-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899299","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 static analytics to continuous intelligence: toward a dynamic model of real-time organizational decision systems","authors":"Albert Adusei Brobbey","doi":"10.1108/jeim-05-2026-0748","DOIUrl":"https://doi.org/10.1108/jeim-05-2026-0748","url":null,"abstract":"Purpose Enterprise decision systems increasingly couple time-sensitive sensing, workflow-embedded recommendations or actions, bounded machine discretion and operational feedback. This paper aims to develop a dynamic model of Continuous Intelligence (CI) that explains the organizational consequences of alignment or imbalance among these properties. Design/methodology/approach The paper uses a problem-driven conceptual theory-building approach. It integrates and contrasts research on decision support, real-time and operational analytics, automation and delegation, hybrid intelligence, machine learning operations, AI capability and governance, information systems success and dynamic capabilities. The inferential pathway is documented through contrastive construct analysis, rejected alternative representations, mechanism mapping and conceptual boundary probing. Findings CI is a four-dimensional decision-system configuration enabled by technical architecture, a CI governance process and human judgment integration. Its distinctive explanatory value lies in interaction effects: temporal continuity can amplify error propagation, discretion can amplify both value and harm, embedded feedback can create adaptive learning or self-reinforcing lock-in, and control design can compress or prolong intervention. Contextual alignment, rather than maximal automation, determines expected outcomes. Research limitations/implications The framework is conceptual and does not establish causal effects. It offers five multilevel propositions, falsification conditions and a sequenced research agenda for formative profile construction, configurational testing and longitudinal evaluation. Practical implications The framework provides theory-informed governance heuristics for matching sensing cadence, decision authority, feedback and oversight to decision risk, reversibility and equivocality. It also identifies proportional implementation options and constraints for smaller organizations. Social implications The redistribution of decision authority from human agents toward AI systems is occurring without adequate governance frameworks in most enterprise deployments. At the industry level, correlated model behavior across organizations deploying similar CI architectures creates systemic risks including flash crashes in financial markets, cascade failures in logistics networks, and biased clinical triage at scale. The European Union Artificial Intelligence Act (EU AI Act) and equivalent regulatory frameworks are attempting to retrofit accountability structures onto CI deployments that outpaced governance development. This paper contributes the theoretical grounding needed to design accountability structures prospectively rather than reactively. Originality/value The contribution is configurational and explanatory rather than technological. The paper shows how familiar decision-system properties generate emergent organizational effects when recursively coupled within operational w","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"28 1","pages":"1-17"},"PeriodicalIF":6.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899301","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 visibility–protection gap in enterprise resource planning governance: shadow systems and information quality degradation","authors":"Sid Ahmed El Hebri Harid","doi":"10.1108/jeim-04-2026-0555","DOIUrl":"https://doi.org/10.1108/jeim-04-2026-0555","url":null,"abstract":"Purpose This article examines the governance conditions under which operational knowledge migrates from a mandated enterprise resource planning system into operationally trusted parallel records, developing the Visibility–Protection Gap as a governance configuration. Design/methodology/approach A three-year action research study across all 80 sites of one private security organisation. Evidence comprises 47 externally facilitated action learning sessions, documentary investigation yielding 1,120 binary governance decisions, separate confirmation of parallel systems, and divergence between client-approved counts and ERP system counts. Seven staggered interventions were measured before and after. Findings Deficient governance dimensions showed a monotonic relationship with confirmed parallel systems: none at 48 sites with zero or one deficiency, five of fourteen with two, and all eighteen with three. Architecture and record divergence tracked the same configuration. Research limitations/implications Evidence derives from one organisational population and requires cross-sector testing. The insider design carries epistemic circularity that safeguards reduce without removing; the intervention lacks a control group and changes are associations. Practical implications A parallel record is better interpreted as a governance indicator than an implementation failure: eliminating it without reducing the deficiency removes access to operational information without restoring it. Learning metrics introduced before reporting protection is credible may deepen the gap. Originality/value Prior work examined power and governance around feral systems and shadow information technology. This study relocates the explanation to the governance architecture surrounding reporting, connecting parallel-system emergence and official-record degradation. Formal systems may retain authority after losing epistemic primacy.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"153 1","pages":"1-23"},"PeriodicalIF":6.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899302","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}