Pub Date : 2025-09-01Epub Date: 2025-06-18DOI: 10.1016/j.giq.2025.102052
Simon Feulner , Tobias Guggenberger , Jonathan Lautenschlager , Nils Urbach , Fabiane Völter
The emerging concept of Self-Sovereign Identity (SSI) promises more portable, secure, and convenient identity services. The public sector, in particular, invests heavily to innovate with this emerging concept. However, an in-depth understanding of SSI's value and how offerings are utilized is lacking, causing complexities and insecurities in designing and implementing SSI-based applications in the public sector. Thus, we conducted a case study which aimed at utilizing SSI for tax registration purposes on online marketplaces. We chose affordance-experimentation-actualization (A-E-A) theory to explore SSI implementation and utilization. As a result, we identify four organizational-level SSI affordances and offer insights into how public sector organizations can innovate with and benefit from SSI by developing an affordance-based innovation framework. Lastly, we contribute to A-E-A theory by revealing how the experimentation phase shapes the organizational context by increasing technical, cultural, and political fit.
{"title":"Self-sovereign identity in the public sector: Affordances, experimentation, and actualization","authors":"Simon Feulner , Tobias Guggenberger , Jonathan Lautenschlager , Nils Urbach , Fabiane Völter","doi":"10.1016/j.giq.2025.102052","DOIUrl":"10.1016/j.giq.2025.102052","url":null,"abstract":"<div><div>The emerging concept of Self-Sovereign Identity (SSI) promises more portable, secure, and convenient identity services. The public sector, in particular, invests heavily to innovate with this emerging concept. However, an in-depth understanding of SSI's value and how offerings are utilized is lacking, causing complexities and insecurities in designing and implementing SSI-based applications in the public sector. Thus, we conducted a case study which aimed at utilizing SSI for tax registration purposes on online marketplaces. We chose affordance-experimentation-actualization (A-<em>E</em>-A) theory to explore SSI implementation and utilization. As a result, we identify four organizational-level SSI affordances and offer insights into how public sector organizations can innovate with and benefit from SSI by developing an affordance-based innovation framework. Lastly, we contribute to A-<em>E</em>-A theory by revealing how the experimentation phase shapes the organizational context by increasing technical, cultural, and political fit.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102052"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306306","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: 2025-06-18DOI: 10.1016/j.giq.2025.102050
Ali Asker Guenduez , Nora Walker , Mehmet Akif Demircioglu
This study focuses on how government bodies address digital ethics in their policies. Using a structural topic model (STM), an automated text mining technique, we analyze 71 policy documents published between 2007 and 2022 by national governments and international governmental organizations (IGOs). Our analysis identifies 22 prominent topics clustered into three major themes: the development of responsible technologies, digital rights, and ethical governance. This study provides a comprehensive overview of these topics and themes, including major similarities among and differences between various policies. We reveal the evolution of these themes over time and discuss key elements in policies. While the findings suggest a consensus on core ethical principles guiding the development and uses of digital technologies, significant differences emerge between countries and IGOs regarding the specific topics addressed and the policy priorities. This study contributes to the digital ethics debate by providing a comprehensive overview of prevailing themes in government policies, highlighting both common ground and areas of divergence. We also discuss the implications of these findings and propose directions for future research.
{"title":"Digital ethics: Global trends and divergent paths","authors":"Ali Asker Guenduez , Nora Walker , Mehmet Akif Demircioglu","doi":"10.1016/j.giq.2025.102050","DOIUrl":"10.1016/j.giq.2025.102050","url":null,"abstract":"<div><div>This study focuses on how government bodies address digital ethics in their policies. Using a structural topic model (STM), an automated text mining technique, we analyze 71 policy documents published between 2007 and 2022 by national governments and international governmental organizations (IGOs). Our analysis identifies 22 prominent topics clustered into three major themes: the development of <em>responsible technologies</em>, <em>digital rights</em>, and <em>ethical governance</em>. This study provides a comprehensive overview of these topics and themes, including major similarities among and differences between various policies. We reveal the evolution of these themes over time and discuss key elements in policies. While the findings suggest a consensus on core ethical principles guiding the development and uses of digital technologies, significant differences emerge between countries and IGOs regarding the specific topics addressed and the policy priorities. This study contributes to the digital ethics debate by providing a comprehensive overview of prevailing themes in government policies, highlighting both common ground and areas of divergence. We also discuss the implications of these findings and propose directions for future research.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102050"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306307","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: 2025-06-24DOI: 10.1016/j.giq.2025.102054
Anne David , Tan Yigitcanlar , Kevin Desouza , Karen Mossberger , Pauline Hope Cheong , Juan Corchado , Prithvi Bhat Beeramoole , Alexander Paz
The rise of Artificial Intelligence (AI) has significant implications for local government service delivery, offering considerable advantages alongside inherent risks that warrant careful management. While responsible AI has become a focal point in academic and policy discussions, public perceptions remain marginal in these debates. This paper explores how behavioural factors along with perceived risk, local government AI policy awareness and policy expectations influence public intentions to support local government responsible AI practices. Using the Theory of Planned Behaviour, this study examines a multi-factor survey through Confirmatory Factor Analysis, followed by Structural Equation Modelling to assess relationships between key factors. A survey questionnaire, conducted with participants from Australia, the United States, and Spain via the Prolific platform, reveals key insights: (a) perceived risk exhibit a stronger influence than other factors; (b) policy awareness plays a critical role in shaping public intention towards support for responsible practices; (c) greater AI policy awareness correlates with more realistic expectations of local government AI policies; (d) social influence lacks a notable impact in this context. These findings provide valuable guidance for urban policymakers in crafting AI strategies that promote responsible AI implementation within local government services.
{"title":"Public perceptions of responsible AI in local government: A multi-country study using the theory of planned behaviour","authors":"Anne David , Tan Yigitcanlar , Kevin Desouza , Karen Mossberger , Pauline Hope Cheong , Juan Corchado , Prithvi Bhat Beeramoole , Alexander Paz","doi":"10.1016/j.giq.2025.102054","DOIUrl":"10.1016/j.giq.2025.102054","url":null,"abstract":"<div><div>The rise of Artificial Intelligence (AI) has significant implications for local government service delivery, offering considerable advantages alongside inherent risks that warrant careful management. While responsible AI has become a focal point in academic and policy discussions, public perceptions remain marginal in these debates. This paper explores how behavioural factors along with perceived risk, local government AI policy awareness and policy expectations influence public intentions to support local government responsible AI practices. Using the Theory of Planned Behaviour, this study examines a multi-factor survey through Confirmatory Factor Analysis, followed by Structural Equation Modelling to assess relationships between key factors. A survey questionnaire, conducted with participants from Australia, the United States, and Spain via the Prolific platform, reveals key insights: (a) perceived risk exhibit a stronger influence than other factors; (b) policy awareness plays a critical role in shaping public intention towards support for responsible practices; (c) greater AI policy awareness correlates with more realistic expectations of local government AI policies; (d) social influence lacks a notable impact in this context. These findings provide valuable guidance for urban policymakers in crafting AI strategies that promote responsible AI implementation within local government services.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102054"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472126","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}
This case study explores how co-production of digital services contributes to a re-framed institutional structure for collaborative governance to respond effectively to collective threats. This study explores the role of collaborative governance and digital technologies in ensuring public service delivery amidst the ongoing war in Ukraine. Focusing on the Diia platform and co-production of services between local government and civil society organizations, the research highlights how digital tools have enabled adaptive governance under extreme crisis posed by the war. By analyzing institutional dynamics in collaborative practices of co-production of public services enabled by digital technologies, this study sheds light on joint capacity for adaptive governance in societies under extreme crisis conditions. Using the Dnipropetrovsk region as an empirical case, this research applies Ostrom's Institutional Analysis and Development (IAD) framework to examine how government and civil society collaborations to deliver public services have fostered institutional changes and adaptation. The findings contribute to broader discussions on governance in on-going extreme crises, offering valuable insight into conflict-affected areas and emphasizing the importance of flexible, digitally enabled institutional arrangements for sustaining public service delivery.
{"title":"Adaptive governance amidst the war: Overcoming challenges and strengthening collaborative digital service provision in Ukraine","authors":"Mariana Gustafsson , Olga Matveieva , Elin Wihlborg , Yevgeniy Borodin , Tetiana Mamatova , Sergiy Kvitka","doi":"10.1016/j.giq.2025.102056","DOIUrl":"10.1016/j.giq.2025.102056","url":null,"abstract":"<div><div>This case study explores how co-production of digital services contributes to a re-framed institutional structure for collaborative governance to respond effectively to collective threats. This study explores the role of collaborative governance and digital technologies in ensuring public service delivery amidst the ongoing war in Ukraine. Focusing on the Diia platform and co-production of services between local government and civil society organizations, the research highlights how digital tools have enabled adaptive governance under extreme crisis posed by the war. By analyzing institutional dynamics in collaborative practices of co-production of public services enabled by digital technologies, this study sheds light on joint capacity for adaptive governance in societies under extreme crisis conditions. Using the Dnipropetrovsk region as an empirical case, this research applies Ostrom's Institutional Analysis and Development (IAD) framework to examine how government and civil society collaborations to deliver public services have fostered institutional changes and adaptation. The findings contribute to broader discussions on governance in on-going extreme crises, offering valuable insight into conflict-affected areas and emphasizing the importance of flexible, digitally enabled institutional arrangements for sustaining public service delivery.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102056"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144569823","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: 2025-07-22DOI: 10.1016/j.giq.2025.102060
Jae Woo Lee , Keeheon Lee
Artificial Intelligence (AI) permeates various technologies, including information and communication technology, significantly reshaping societal practices and individual routines. While this offers benefits, it also prompts concerns about the negative changes of AI, requiring careful governance. This paper focuses on mitigating these risks by offering recommendations for establishing coherent legal frameworks to safeguard innocent individuals from AI-related threats or potential harm, whether intentional or unintentional. We propose a framework that utilizes a large language model to assess the alignment between AI ethical guidelines and bills. A case study is conducted to analyze the Korean regulatory landscape, since Korea's AI legal frameworks particularly lag behind amid its rapid advancement of technology. This study employs a range of methods - descriptive, correlation, cluster, and semantic analyses - to offer a comprehensive comparison of Korea's legislative documents. Our findings reveal continuity in certain aspects but discontinuity in others between these two governance tools. Consequently, we suggest measures to enhance the consistency between these two realms for AI regulation, contributing to more robust and effective AI governance practices.
{"title":"Building a consensus: Harmonizing AI ethical guidelines and legal frameworks in Korea for enhanced governance","authors":"Jae Woo Lee , Keeheon Lee","doi":"10.1016/j.giq.2025.102060","DOIUrl":"10.1016/j.giq.2025.102060","url":null,"abstract":"<div><div>Artificial Intelligence (AI) permeates various technologies, including information and communication technology, significantly reshaping societal practices and individual routines. While this offers benefits, it also prompts concerns about the negative changes of AI, requiring careful governance. This paper focuses on mitigating these risks by offering recommendations for establishing coherent legal frameworks to safeguard innocent individuals from AI-related threats or potential harm, whether intentional or unintentional. We propose a framework that utilizes a large language model to assess the alignment between AI ethical guidelines and bills. A case study is conducted to analyze the Korean regulatory landscape, since Korea's AI legal frameworks particularly lag behind amid its rapid advancement of technology. This study employs a range of methods - descriptive, correlation, cluster, and semantic analyses - to offer a comprehensive comparison of Korea's legislative documents. Our findings reveal continuity in certain aspects but discontinuity in others between these two governance tools. Consequently, we suggest measures to enhance the consistency between these two realms for AI regulation, contributing to more robust and effective AI governance practices.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102060"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679172","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: 2025-07-31DOI: 10.1016/j.giq.2025.102058
Louise Jørring, Lise Justesen , Ursula Plesner
Digital technologies are increasingly being implemented in public sector organizations with the ambition to enhance efficiency by saving employees' time. Frontline workers, who are often described as lacking resources and working under constant time constraints, are continuously confronted with the introduction of new, supposedly time-saving technologies. However, the concept of time and how digital technologies impact frontline workers' use of time in practice are rarely examined explicitly in public administration research. This article foregrounds the concept of time, drawing on qualitative fieldwork in Denmark's public employment services to examine how frontline workers navigate time tensions introduced by supposedly time-saving technologies. The findings reveal that these technologies reinforce tight linear schedules, requiring frontline workers to balance both time delays and time gains. This dynamic necessitates flexible adjustments of work rhythms as employees speed up or slow down their tasks to adjust to the digitalized environment. To understand these temporal tensions—how they are created and handled—this article draws on insights from science and technology studies, applying the distinction between monochronic time—in which events are approached as unfolding sequentially with a focus on one event at a time—and polychronic time, in which events are unpredictable and may unfold simultaneously or in other non-linear ways. Based on our study, we argue for an explicit focus on temporality in public administration literature, offer a conceptual vocabulary to explore it further, and advocate for understanding how time-saving technologies unfold in everyday practice, while acknowledging the coexistence of monochronic and polychronic time orientations in organizations.
{"title":"Tensions in time-saving technologies: Adjusting work rhythms in the digitalized public sector frontline","authors":"Louise Jørring, Lise Justesen , Ursula Plesner","doi":"10.1016/j.giq.2025.102058","DOIUrl":"10.1016/j.giq.2025.102058","url":null,"abstract":"<div><div>Digital technologies are increasingly being implemented in public sector organizations with the ambition to enhance efficiency by saving employees' time. Frontline workers, who are often described as lacking resources and working under constant time constraints, are continuously confronted with the introduction of new, supposedly time-saving technologies. However, the concept of time and how digital technologies impact frontline workers' use of time in practice are rarely examined explicitly in public administration research. This article foregrounds the concept of time, drawing on qualitative fieldwork in Denmark's public employment services to examine how frontline workers navigate time tensions introduced by supposedly time-saving technologies. The findings reveal that these technologies reinforce tight linear schedules, requiring frontline workers to balance both time delays and time gains. This dynamic necessitates flexible adjustments of work rhythms as employees speed up or slow down their tasks to adjust to the digitalized environment. To understand these temporal tensions—how they are created and handled—this article draws on insights from science and technology studies, applying the distinction between <em>monochronic time</em>—in which events are approached as unfolding sequentially with a focus on one event at a time—and <em>polychronic time</em>, in which events are unpredictable and may unfold simultaneously or in other non-linear ways. Based on our study, we argue for an explicit focus on temporality in public administration literature, offer a conceptual vocabulary to explore it further, and advocate for understanding how time-saving technologies unfold in everyday practice, while acknowledging the coexistence of monochronic and polychronic time orientations in organizations.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102058"},"PeriodicalIF":10.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144748718","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: 2025-06-13DOI: 10.1016/j.giq.2025.102044
Shanming Xu , Jingjing Liu , Sisi Li , Yueping Zheng
Open Government Data (OGD) has made tremendous progress, as local governments have established OGD platforms and made data accessible to the public. Nevertheless, the actual use of OGD by the private sectors remains well below expectations, despite the widespread belief that the private sectors have substantial demand for it. Although there are some literature describing the barriers to OGD use, the relationships between these barriers and the mechanisms behind the limited use of OGD by private sectors have not been thoroughly explored. This study aimed to uncover their relationships to formulate a holistic theory and gain a deeper understanding of this issue. Through interviews with 18 senior managers, engineers, and other professionals from various private sectors, and applying the classic grounded theory method, a theoretical model was constructed to explain the private sectors' use of OGD, comprising four main categories, i.e., cognition, business value assessment, value pursuit, and organizational context, with value pursuit playing a pivotal role. This study contributes to the current literature by proposing a behavioral process mechanism to integrate various factors of OGD utilization by private sectors. Based on the findings, some recommendations are presented for policymakers to improve the use of OGD and OGD construction.
{"title":"Barriers to and mechanism for open government data use by the private sectors: A grounded theory approach","authors":"Shanming Xu , Jingjing Liu , Sisi Li , Yueping Zheng","doi":"10.1016/j.giq.2025.102044","DOIUrl":"10.1016/j.giq.2025.102044","url":null,"abstract":"<div><div>Open Government Data (OGD) has made tremendous progress, as local governments have established OGD platforms and made data accessible to the public. Nevertheless, the actual use of OGD by the private sectors remains well below expectations, despite the widespread belief that the private sectors have substantial demand for it. Although there are some literature describing the barriers to OGD use, the relationships between these barriers and the mechanisms behind the limited use of OGD by private sectors have not been thoroughly explored. This study aimed to uncover their relationships to formulate a holistic theory and gain a deeper understanding of this issue. Through interviews with 18 senior managers, engineers, and other professionals from various private sectors, and applying the classic grounded theory method, a theoretical model was constructed to explain the private sectors' use of OGD, comprising four main categories, i.e., cognition, business value assessment, value pursuit, and organizational context, with value pursuit playing a pivotal role. This study contributes to the current literature by proposing a behavioral process mechanism to integrate various factors of OGD utilization by private sectors. Based on the findings, some recommendations are presented for policymakers to improve the use of OGD and OGD construction.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102044"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271782","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: 2025-07-08DOI: 10.1016/j.giq.2025.102057
Beatrice I. Johannessen
As governments increasingly try to develop their own technological solutions to handle growing demands, a key response has been to move away from traditional “waterfall” methods and towards modern “agile” principles for innovation. While agile principles are advocated as crucial to handling the complexity of the public sector, they have also been found to be difficult to implement in practice. To advance our understanding of these difficulties, this article aims to unpack the challenges facing software development teams when trying to use agile methods in the public sector. The article draws on ethnographic data from a study of software development teams in the Norwegian Labor and Welfare administration (NAV). By analyzing these data through the theoretical lens of institutional theory – particularly emphasizing institutional complexity due to conflicting institutional logics – the article uncovers three critical tensions facing the development teams: between bottom-up methods vs. top-down delegation, flexibility vs. pre-planned mandates, and “fast” teams vs. a “slow” context. These tensions indicate a “decoupling” between proclaimed agility and practiced methodologies, with the practical reality of the teams' working environment being characterized as a mixture of elements from both waterfall and agile methods. By uncovering these tensions and contradictions, the article explores the institutional complexity of public sector innovation, in which workers struggle to navigate an institutional context characterized by conflicting demands.
{"title":"An agile bureaucracy? Lessons from an ethnographic study of agile teams in the Norwegian public sector","authors":"Beatrice I. Johannessen","doi":"10.1016/j.giq.2025.102057","DOIUrl":"10.1016/j.giq.2025.102057","url":null,"abstract":"<div><div>As governments increasingly try to develop their own technological solutions to handle growing demands, a key response has been to move away from traditional “waterfall” methods and towards modern “agile” principles for innovation. While agile principles are advocated as crucial to handling the complexity of the public sector, they have also been found to be difficult to implement in practice. To advance our understanding of these difficulties, this article aims to unpack the challenges facing software development teams when trying to use agile methods in the public sector. The article draws on ethnographic data from a study of software development teams in the Norwegian Labor and Welfare administration (NAV). By analyzing these data through the theoretical lens of institutional theory – particularly emphasizing institutional complexity due to conflicting institutional logics – the article uncovers three critical tensions facing the development teams: between bottom-up methods vs. top-down delegation, flexibility vs. pre-planned mandates, and “fast” teams vs. a “slow” context. These tensions indicate a “decoupling” between proclaimed agility and practiced methodologies, with the practical reality of the teams' working environment being characterized as a <em>mixture</em> of elements from both waterfall and agile methods. By uncovering these tensions and contradictions, the article explores the institutional complexity of public sector innovation, in which workers struggle to navigate an institutional context characterized by conflicting demands.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102057"},"PeriodicalIF":7.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580928","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: 2025-06-04DOI: 10.1016/j.giq.2025.102049
Tung-Mou Yang , Yi-Jung Wu
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.
{"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}
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.
{"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}
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