Pub Date : 2025-09-01Epub Date: 2025-08-14DOI: 10.1016/j.giq.2025.102063
Juliane Schmeling , Sami al Dakruni , Ines Mergel
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.
{"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}
Pub Date : 2025-09-01Epub Date: 2025-08-13DOI: 10.1016/j.giq.2025.102062
Anastasija Nikiforova , Martin Lnenicka , Mariusz Luterek , Petar Milic , Manuel Pedro Bolívar Rodríguez
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.
{"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}
Pub Date : 2025-09-01Epub Date: 2025-08-23DOI: 10.1016/j.giq.2025.102065
Lei Zheng, Hong Zhang
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.
数字政府研究处于全球技术趋势和地方制度背景的交叉点。本研究以中国为例，分析了3521篇来自中国领先学术期刊的文章和1428篇来自国际顶级期刊的研究，这些研究都是关于数字政府的，以探讨国内外研究的主题趋同与分歧。研究结果表明，尽管中国国内和国际研究界遵循相似的技术轨迹，但他们根据各自的背景制定了不同的研究重点。通过进一步研究2004-2023年200篇高被引论文（包括CNKI的中文论文和Web of Science的英文论文），该研究揭示了跨界研究人员在不同学术群体中如何使用不同的引用模式和方法方法。这些学者是促进跨社区对话和知识交流的重要桥梁。论文最后提出了促进国内和国际数字政府研究团体之间更深层次合作的具体建议。
{"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}
Pub Date : 2025-09-01Epub Date: 2025-06-27DOI: 10.1016/j.giq.2025.102055
Luca Tangi , A. Paula Rodriguez Müller , Marijn Janssen
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.
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.
{"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}
Pub Date : 2025-09-01Epub Date: 2025-07-23DOI: 10.1016/j.giq.2025.102061
Aya Rizk , Ida Lindgren
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.
{"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}
Pub Date : 2025-09-01Epub Date: 2025-06-12DOI: 10.1016/j.giq.2025.102035
Leman Isik
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):
How does an interruption of the coupling between value creation propositions and their evaluated value influence public sector innovation?
This study identifies three kinds of decoupling, namely translation errors, prioritization clashes, and open-endedness—that drive this interruption in public sector innovation.
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.
{"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}
Pub Date : 2025-09-01Epub Date: 2025-08-17DOI: 10.1016/j.giq.2025.102064
Eric C. Mota , Peter G. Klein
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 extrusive effects—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 intrusive effects that expand governmental discretion and extrusive 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.
{"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}
Pub Date : 2025-09-01Epub Date: 2025-06-05DOI: 10.1016/j.giq.2025.102051
Kasper N. Vissing, Mikkel H. Knoll, Morten Hertzum
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.
{"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}
Pub Date : 2025-09-01Epub Date: 2025-06-03DOI: 10.1016/j.giq.2025.102048
Jessica Breaugh , Gerhard Hammerschmid , Simona Stockreiter
This study presents a systematic literature review of 74 articles examining public-private partnerships (PPPs) in digitalisation projects, analysing how public values are represented in this literature. It contributes to the literature by systematically mapping how public values are discussed in PPP-driven digitalisation, distinguishing between their role as internal governance mechanisms (internal public value enablers) and their broader societal effects (external public value outcomes). It also identifies gaps in empirical research, particularly in understanding public value conflicts and trade-offs in PPPs. While public values such as efficiency, participation, and accountability are the most frequently cited in the literature, other values such as accessibility, trust and proportionality also emerged. Despite the collaborative nature of PPPs, our review uncovers conflicts between public and private sector motives, emphasizing the need for public sector actors to actively safeguard public values. The study thus contributes to a broader understanding of public values representation in the context of digitalisation projects.
{"title":"The prevalence of public values in public private partnerships for government digitalisation: A systematic review of the literature","authors":"Jessica Breaugh , Gerhard Hammerschmid , Simona Stockreiter","doi":"10.1016/j.giq.2025.102048","DOIUrl":"10.1016/j.giq.2025.102048","url":null,"abstract":"<div><div>This study presents a systematic literature review of 74 articles examining public-private partnerships (PPPs) in digitalisation projects, analysing how public values are represented in this literature. It contributes to the literature by systematically mapping how public values are discussed in PPP-driven digitalisation, distinguishing between their role as internal governance mechanisms (internal public value enablers) and their broader societal effects (external public value outcomes). It also identifies gaps in empirical research, particularly in understanding public value conflicts and trade-offs in PPPs. While public values such as efficiency, participation, and accountability are the most frequently cited in the literature, other values such as accessibility, trust and proportionality also emerged. Despite the collaborative nature of PPPs, our review uncovers conflicts between public and private sector motives, emphasizing the need for public sector actors to actively safeguard public values. The study thus contributes to a broader understanding of public values representation in the context of digitalisation projects.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102048"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196467","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}
Pub Date : 2025-09-01Epub Date: 2025-08-20DOI: 10.1016/j.giq.2025.102066
Peter André Busch , Marius Rohde Johannessen , Samuli Pekkola
Digital government researchers have debated theoretical progress in the domain. With a surge in publications over the past decade, examining its theoretical progress is timely. This reflection article offers a case analysis of theoretical contributions in digital government research through a literature review of 279 articles published in Government Information Quarterly (GIQ), the domain's leading journal, in the period 2000–2024. Our findings reveal: (1) a preponderance of theoretical extensions, often drawing on well-established theories from other domains but lacking a digital government-specific focus, and (2) “unfinished” theories, often aligned with emerging technologies and trends. While our analysis focuses solely on GIQ, it indicates a need for further development and refinement of the domain's theories, and explicit stances of using and further developing “borrowed” theories from other domains.
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