{"title":"Exploring the complexity of cross-boundary data collaboratives based on the foundation of governmental open data: A study in Taiwan","authors":"Tung-Mou Yang , Yi-Jung Wu","doi":"10.1016/j.giq.2025.102049","DOIUrl":"10.1016/j.giq.2025.102049","url":null,"abstract":"<div><div>In recent years, there has been a growing trend of data-driven collaborative partnerships based on governmental open data. Some government agencies are attempting to form cross-boundary data collaboratives with actors and organizations from other sectors to tackle public issues and develop innovative applications. While research focusing on cross-boundary data collaboratives remains limited, this study explores the dynamics and complexity of related initiatives in the context of Taiwan's open government data using a qualitative research approach. This study identifies and discusses the motivations, forms, and influential factors of cross-boundary data collaboratives with empirical data support. Specifically, this study explores the influential factors from four perspectives: data, organization, legislation, and environment. It is noted that government agencies and participants from other sectors can possess mixed combinations of motivations. Additionally, government agencies are still learning and adapting to the concept of cross-boundary data collaboratives, which represent both opportunities and challenges. Therefore, government agencies and participants from other sectors tend to maintain a flexible collaborative structure to retain a high level of autonomy and flexibility in respective initiatives. It is expected that the discussion and practical implications of this exploratory research can provide insights to both academic researchers and practitioners. The reported experiences in cross-boundary data collaboratives can also be valuable to government administrations in other countries.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102049"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data collaboration in digital government research: A literature review and research agenda","authors":"Juliane Schmeling , Sami al Dakruni , Ines Mergel","doi":"10.1016/j.giq.2025.102063","DOIUrl":"10.1016/j.giq.2025.102063","url":null,"abstract":"<div><div>Sovereign data infrastructures are a central building block of the European Data Strategy, yet little is known about how public administrations share and collaborate on both open and restricted data. This research addresses the gap by systematically analysing the existing literature on data collaboration within the field of digital government research. We thereby make a methodological contribution to digital government research through a rigorous literature review framework that includes Structural Topic Modelling to understand the different themes of the scientific discussion in the field of digital government. We propose an innovative data collaboration framework that includes the ecosystem, the organisational, and the individual levels, enhancing our understanding of the multidimensional nature of data collaboration. Our analysis reveals that while the emphasis is on innovation and participation, critical aspects like standardisation and data management have a declining topic prevalence, despite their importance in developing federated data ecosystems. This comprehensive analysis not only sheds light on the current landscape but also informs a structured research agenda in digital government, aiming to contribute to the advancement of the field.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102063"},"PeriodicalIF":10.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anastasija Nikiforova , Martin Lnenicka , Mariusz Luterek , Petar Milic , Manuel Pedro Bolívar Rodríguez
{"title":"Theorizing the evolution of public data ecosystems: An empirically grounded multi-generational model and future research agenda","authors":"Anastasija Nikiforova , Martin Lnenicka , Mariusz Luterek , Petar Milic , Manuel Pedro Bolívar Rodríguez","doi":"10.1016/j.giq.2025.102062","DOIUrl":"10.1016/j.giq.2025.102062","url":null,"abstract":"<div><div>Public Data Ecosystems (PDEs) are increasingly viewed as dynamic socio-technical systems shaped by evolving interactions among actors, infrastructures, data types, and governance mechanisms. Yet, most existing research remains static or domain-specific, offering limited insight into the temporal and co-evolutionary dynamics of PDEs. To address this gap, this study adopts a theory-building approach to examine how PDEs evolve over time and to define a forward-looking research agenda. Drawing on empirical insights from five European countries, we investigate how key meta-characteristics and attributes of PDEs manifest, shift, and co-evolve in practice. Leveraging a recent multi-generational model as an analytical lens, we assess its alignment with real-world trajectories, identify overlooked and emerging features, and revise its structure accordingly. In doing so, we theorize PDE evolution as a multi-generational process shaped by institutional, technological, and contextual dynamics. This results in a refined model that better captures the complexity and diversity of PDE development, particularly considering emerging technologies such as artificial intelligence (AI), generative AI, and large language models (LLMs) shaping the forward-looking PDE generation. Building on these insights, we propose a future research agenda comprising 17 directions organized around revised meta-characteristics. This agenda supports the development of sustainable, resilient, and intelligent PDEs. The study contributes to the theorization of PDEs by offering an empirically grounded, temporally aware, and actionable roadmap for future research and policy design.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102062"},"PeriodicalIF":10.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigating power dynamics in the public sector through AI-driven algorithmic decision-making","authors":"Kamran Mahroof , Vishanth Weerakkody , Zahid Hussain , Uthayasankar Sivarajah","doi":"10.1016/j.giq.2025.102053","DOIUrl":"10.1016/j.giq.2025.102053","url":null,"abstract":"<div><div>Public sector institutions are under increasing pressure to deliver greater public value through disruptive technologies, despite ongoing pressures. In response to evolving technological change and an abundance of information, many public sector organisations have adopted Artificial Intelligence (AI) to improve decision-making and generate social value. While AI's role in public administration is gaining attention, little is known about how its use alters internal power dynamics. This research uses a qualitative case study approach, drawing on 30 semi-structured interviews with operational managers and various analysts in a large public institution to explore how AI influences power relations. Findings reveal that AI use creates tensions among operational managers, organisation-wide analysts and the increasingly influential hybrid/in-house analysts who possess both technical and institutional expertise. The study presents and empirically validates the AI Power Enactment Framework and introduces the AI Power Matrix, providing policymakers with a structured tool to evaluate AI projects. These insights can inform targeted funding strategies and capacity building, helping to lessen dependence on hybrid analysts and enhance the success of AI implementation in the public sector.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102053"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bridging local and global: Convergence, divergence and dialogue in digital government research communities","authors":"Lei Zheng, Hong Zhang","doi":"10.1016/j.giq.2025.102065","DOIUrl":"10.1016/j.giq.2025.102065","url":null,"abstract":"<div><div>Digital government research lies at the intersection of global technological trends and local institutional contexts. This study analyzes 3521 articles from a leading Chinese academic journal and 1428 studies from a top international journal—all addressing digital government—to explore thematic convergences and divergences between domestic and international research, using China as a case. The findings demonstrate that while the Chinese domestic and the international research communities follow similar technological trajectories, they develop distinct research priorities shaped by their respective contexts. Through further examining 200 highly cited publications (2004–2023) - including both Chinese-language works from CNKI and English-language articles from Web of Science, all focusing on China and with Chinese co-authorship, the study uncovers how boundary-spanning researchers employ distinct citation patterns and methodological approaches when navigating different academic communities. These scholars serve as critical bridges facilitating cross-community dialogue and knowledge exchange. The paper concludes with specific recommendations for fostering deeper collaboration between domestic and international digital government research communities.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102065"},"PeriodicalIF":10.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luca Tangi , A. Paula Rodriguez Müller , Marijn Janssen
{"title":"AI-augmented government transformation: Organisational transformation and the sociotechnical implications of artificial intelligence in public administrations","authors":"Luca Tangi , A. Paula Rodriguez Müller , Marijn Janssen","doi":"10.1016/j.giq.2025.102055","DOIUrl":"10.1016/j.giq.2025.102055","url":null,"abstract":"<div><div>Implementing artificial intelligence (AI) in public settings requires a fundamental transformation of various social and technical aspects within public administration. However, the transformative efforts required for AI integration and use in government remain underexplored. This study introduces the concept of 'AI-augmented government transformation,' building on sociomateriality and sociotechnical theory, and develops a theoretical framework to explore this phenomenon. By applying this framework and drawing insights from expert interviews, we identify the strategic shifts and socio-technical adaptations essential for integrating AI into public administrations. Our analysis highlights the importance of opening the 'black box' of AI to gain a deep understanding of its underlying technologies and their materialities.</div><div>The findings reveal complex interdependencies between AI materiality and the social and technical systems that public administrations must navigate. Specifically, AI, as a novel materiality, introduces new organizational dynamics, enhances employee capabilities, and alters operational routines and practices. These changes complement technical ones, such as upgrades and advancements in data collection and processing. By investigating the complexities of AI-augmented government transformation, this research offers novel and practical insights for policymakers and practitioners navigating the challenges and opportunities of AI integration.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102055"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144491617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extrusive effects of digital government: Reframing the citizen–state relationship","authors":"Eric C. Mota , Peter G. Klein","doi":"10.1016/j.giq.2025.102064","DOIUrl":"10.1016/j.giq.2025.102064","url":null,"abstract":"<div><div>Digital government systems are widely adopted to improve public sector performance, yet concerns persist about their potential to undermine privacy and expand governmental control. This study challenges that prevailing narrative by introducing the concept of <strong>extrusive effects</strong>—instances where digital government implementations actively enhance citizen autonomy and reduce governmental discretion. Drawing on a unique dataset of 205 implementations across 70 countries from 1999 to 2022, we use text mining and evidence-based coding to identify 674 empirically verified effects. Our analysis reveals that extrusive effects are not isolated anomalies but constitute a systematic phenomena shaped by emerging technologies such as distributed ledgers, decentralized computing, and cryptographic protocols. Building on this discovery, we expand existing classifications of digital government effects to better reflect the evolving relationship between citizens and public administrations—capturing both <em>intrusive</em> effects that expand governmental discretion and <em>extrusive</em> effects that constrain it. These findings provide a more comprehensive foundation for evaluating digital government’s welfare implications and offer new tools for aligning technological design with democratic governance.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102064"},"PeriodicalIF":10.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144860727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated decision-making in public administration: Changing the decision space between public officials and citizens","authors":"Aya Rizk , Ida Lindgren","doi":"10.1016/j.giq.2025.102061","DOIUrl":"10.1016/j.giq.2025.102061","url":null,"abstract":"<div><div>Implementing Automated Decision-Making (ADM) systems in public administrations raises several tensions: between efficiency and ensuring fair decisions, between public transparency and individual privacy, and between standardization and discretion. To develop legitimate ADM systems that balance these tensions, we need to better understand the phenomenon on the societal, organizational and individual levels. To this end, we conduct a multidisciplinary literature review with the analysis utilizing Coleman's macro-micro model of social action, in which individual attitudes and actions relevant to ADM are related to ADM social structures and outcomes. We develop an ADM framework that captures and conceptualizes these macro-micro relationships and use this framework to identify gaps in research and motivate a research agenda. Our results also reveal a changing decision space between public officials and citizens that, if well investigated, may facilitate the development of citizen-centric ADM solutions and effective human-machine hybrids. We illustrate how the framework and ADM decision space can contribute to research, practice and policy.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102061"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kasper N. Vissing, Mikkel H. Knoll, Morten Hertzum
{"title":"Benefits slippage: The yearlong process of implementing electronic document management in a Danish municipality","authors":"Kasper N. Vissing, Mikkel H. Knoll, Morten Hertzum","doi":"10.1016/j.giq.2025.102051","DOIUrl":"10.1016/j.giq.2025.102051","url":null,"abstract":"<div><div>Government institutions invest substantial resources in digitalizing their processes and services. To benefit from these investments, the expected benefits must be specified and systematically pursued. Otherwise, they will likely slip. Benefits slippage is the situation where specified benefits do not materialize even though they continue to be seen as, at least partially, realizable. This study investigates benefits slippage in the implementation of electronic document management in a municipality in Denmark. On the basis of interviews, we identify three reasons why benefits slipped. First, inactionable benefits specifications make it difficult to see the link between the specified benefits and the work-process changes necessary to realize them, thereby leaving staff without directions about what changes to implement. Second, a prolonged realization process increases the opportunity for external events to disrupt the process, thereby shifting attention to other matters before the benefits have been realized. Third, absent benefits follow-up leaves the status of benefits realization uncertain or ignores indications that benefits have not been realized, thereby prolonging or discontinuing the realization process. In the studied municipality, the specified benefits had slipped for three years. Future research should investigate how benefits-realization initiatives can be resumed late, locally, and at low cost.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102051"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Innovation interrupted: The gap between value creation and evaluation in the public sector","authors":"Leman Isik","doi":"10.1016/j.giq.2025.102035","DOIUrl":"10.1016/j.giq.2025.102035","url":null,"abstract":"<div><div>Innovation in the public sector is crucial for addressing societal challenges, improving service delivery, and delivering public value. This qualitative study of what is valued in 141 public sector digital innovation initiatives in Sweden reveals a shift in what is valued when setting out value creation propositions (goals), and when value is later evaluated (intended outcomes). An emphasis on operational efficiency in the latter narrows the focus of innovation, prioritizing operational efficiency over broader societal benefits. Using a valuation lens, the research shows that this shift in values amounts to decoupling between value creation propositions and evaluated values. To address this, the study investigates the following research question (RQ):</div><div><em>How does an interruption of the coupling between value creation propositions and their evaluated value influence public sector innovation?</em></div><div>This study identifies three kinds of decoupling, namely <em>translation errors, prioritization clashes, and open-endedness</em>—that drive this interruption in public sector innovation.</div><div>While operational efficiency elsewhere is seen as a driver of (public sector) innovation, here I argue that it risks becoming an inhibitor. The same is true of open-ended digital innovation for its own sake, insofar as it contributes to decoupling perceptions of what is valuable in public sector digital innovation. By positioning these insights within the broader literature on public sector innovation and valuation, this study underscores the critical implications of avoiding decoupling, for effective innovation in the public sector.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102035"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}