Pub Date : 2025-12-09DOI: 10.1016/j.giq.2025.102099
Gianluca Maria Guazzo , Pierangelo Rosati , Orlando Troisi , Theo Lynn
The deployment of smart city technologies offers local governments a chance to enhance citizens' quality of life by tackling issues such as traffic congestion. Traffic management systems often utilise video-based traffic sensors (VBTSs) to analyse traffic patterns via camera images, which might capture sensitive data like location and driving behaviours. This capability can evoke perceptions of urban surveillance, raising privacy concerns and resistance, potentially hindering smart city initiatives' success. Understanding factors influencing the social acceptance of these technologies is crucial for their successful implementation. This study applies privacy calculus theory and examines how citizens' trust in government implementation of VBTSs and privacy concerns affect their social acceptance, using a stratified sample of 1920 US residents. Findings indicate privacy concerns negatively impact VBTSs acceptance at both general and local levels, while trust in government boosts general acceptance but does not affect local acceptance. Thus, our findings suggest privacy and trust play vital roles in determining the success or failure of a potentially controversial smart city initiative. These insights are valuable for governments at a practical level and for researchers at a theoretical level.
{"title":"Balancing privacy and trust: Social acceptance of video-based traffic sensors in smart city initiatives","authors":"Gianluca Maria Guazzo , Pierangelo Rosati , Orlando Troisi , Theo Lynn","doi":"10.1016/j.giq.2025.102099","DOIUrl":"10.1016/j.giq.2025.102099","url":null,"abstract":"<div><div>The deployment of smart city technologies offers local governments a chance to enhance citizens' quality of life by tackling issues such as traffic congestion. Traffic management systems often utilise video-based traffic sensors (VBTSs) to analyse traffic patterns via camera images, which might capture sensitive data like location and driving behaviours. This capability can evoke perceptions of urban surveillance, raising privacy concerns and resistance, potentially hindering smart city initiatives' success. Understanding factors influencing the social acceptance of these technologies is crucial for their successful implementation. This study applies privacy calculus theory and examines how citizens' trust in government implementation of VBTSs and privacy concerns affect their social acceptance, using a stratified sample of 1920 US residents. Findings indicate privacy concerns negatively impact VBTSs acceptance at both general and local levels, while trust in government boosts general acceptance but does not affect local acceptance. Thus, our findings suggest privacy and trust play vital roles in determining the success or failure of a potentially controversial smart city initiative. These insights are valuable for governments at a practical level and for researchers at a theoretical level.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"43 1","pages":"Article 102099"},"PeriodicalIF":10.0,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145705596","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 : 2025-12-01DOI: 10.1016/j.giq.2025.102091
Henrico van Roekel , Martiene Branderhorst , Lars Tummers , Albert Meijer
We introduce a psychometrically validated scale to measure Digital Transformation Leadership in public organizations. As governments adopt new digital technologies to improve processes and services, understanding how managers effectively lead these transformations is essential. Although research on digital transformation and public sector leadership is growing, no measurement instrument grounded in a public value perspective currently exists. Following a preregistered analysis plan, we developed the scale through a rigorous multi-stage process of item development, scale construction, and evaluation. Our findings show that Digital Transformation Leadership comprises two dimensions. First, a Strategic dimension: how managers develop a vision, foster collaboration, and consider public preferences. Second, an Operational dimension: how managers guide employees, internal processes, and outputs. Additional analyses support the scale's validity, showing positive correlations with perceived leadership effectiveness, public leadership, work engagement, and job satisfaction. We further discuss how items may be used in shorter subscales or as templates. The scale offers a foundation for future research on the role of Digital Transformation Leadership in public organizations.
{"title":"Digital transformation leadership: A public value-centered measurement scale","authors":"Henrico van Roekel , Martiene Branderhorst , Lars Tummers , Albert Meijer","doi":"10.1016/j.giq.2025.102091","DOIUrl":"10.1016/j.giq.2025.102091","url":null,"abstract":"<div><div>We introduce a psychometrically validated scale to measure Digital Transformation Leadership in public organizations. As governments adopt new digital technologies to improve processes and services, understanding how managers effectively lead these transformations is essential. Although research on digital transformation and public sector leadership is growing, no measurement instrument grounded in a public value perspective currently exists. Following a preregistered analysis plan, we developed the scale through a rigorous multi-stage process of item development, scale construction, and evaluation. Our findings show that Digital Transformation Leadership comprises two dimensions. First, a Strategic dimension: how managers develop a vision, foster collaboration, and consider public preferences. Second, an Operational dimension: how managers guide employees, internal processes, and outputs. Additional analyses support the scale's validity, showing positive correlations with perceived leadership effectiveness, public leadership, work engagement, and job satisfaction. We further discuss how items may be used in shorter subscales or as templates. The scale offers a foundation for future research on the role of Digital Transformation Leadership in public organizations.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102091"},"PeriodicalIF":10.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623127","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 : 2025-11-20DOI: 10.1016/j.giq.2025.102090
Francesca Casalini , Liudmila Zavolokina
As privately-owned digital platforms increasingly shape public services, a critical question emerges: Do they serve the public good? This paper explores the public value outcomes from 25 privately-owned digital platforms across public service sectors in Italy, revealing both public value creation and destruction. The findings highlight both the opportunities and risks associated with digital platforms: while they improve service effectiveness, efficiency, and customization, they also raise concerns regarding inclusivity, user autonomy, decision-making, and data privacy, particularly where public and private interests intersect. The study contributes to the public value and digital governance literature by illustrating the complexities of managing digital platforms in public services and their broader implications for the service ecosystem.
{"title":"From private platforms to public value: An exploratory analysis of privately-owned public service digital platforms in Italy","authors":"Francesca Casalini , Liudmila Zavolokina","doi":"10.1016/j.giq.2025.102090","DOIUrl":"10.1016/j.giq.2025.102090","url":null,"abstract":"<div><div>As privately-owned digital platforms increasingly shape public services, a critical question emerges: Do they serve the public good? This paper explores the public value outcomes from 25 privately-owned digital platforms across public service sectors in Italy, revealing both public value creation and destruction. The findings highlight both the opportunities and risks associated with digital platforms: while they improve service effectiveness, efficiency, and customization, they also raise concerns regarding inclusivity, user autonomy, decision-making, and data privacy, particularly where public and private interests intersect. The study contributes to the public value and digital governance literature by illustrating the complexities of managing digital platforms in public services and their broader implications for the service ecosystem.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102090"},"PeriodicalIF":10.0,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578551","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 : 2025-11-07DOI: 10.1016/j.giq.2025.102086
Marijn Janssen , Hong Zhang , Adegboyega Ojo , Anastasija Nikiforova , Euripidis Loukis , Gabriela Viale Pereira , Hans Jochen Scholl , Helen K. Liu , Jaromir Durkiewicz , Laurie Hughes , Lei Zheng , Leonidas Anthopoulos , Panos Panagiotopoulos , Tomasz Janowski , Yogesh K. Dwivedi
Since the advent of the digital age, the transformation of government operations, policy-making, citizen engagement, and public services has fundamentally reshaped the relationships between citizens and public institutions. Digital government, as a field of study, has evolved to address the complex challenges at the intersection of technology, governance, and society. Over the past decades, Government Information Quarterly (GIQ) has played a pivotal role in documenting and shaping this evolution from basic computerization to sophisticated digital transformation initiatives. The impact of digitalization extends across all aspects of public administration, from service delivery and policy-making to citizen engagement and democratic processes. This study brings together perspectives from leading digital government scholars to examine the nature of digital government research. Through the analysis of the journal's distinctive identity and characteristics, evolution, theoretical landscape, and methodological approaches, it offers insights into how GIQ has evolved to a transdisciplinary platform that bridges theoretical foundations with practical applications while consistently addressing emerging technological challenges, fundamental public sector values, and high-value public policy goals.
{"title":"Reflections on the nature of digital government research: Marking the 50th anniversary of Government Information Quarterly","authors":"Marijn Janssen , Hong Zhang , Adegboyega Ojo , Anastasija Nikiforova , Euripidis Loukis , Gabriela Viale Pereira , Hans Jochen Scholl , Helen K. Liu , Jaromir Durkiewicz , Laurie Hughes , Lei Zheng , Leonidas Anthopoulos , Panos Panagiotopoulos , Tomasz Janowski , Yogesh K. Dwivedi","doi":"10.1016/j.giq.2025.102086","DOIUrl":"10.1016/j.giq.2025.102086","url":null,"abstract":"<div><div>Since the advent of the digital age, the transformation of government operations, policy-making, citizen engagement, and public services has fundamentally reshaped the relationships between citizens and public institutions. Digital government, as a field of study, has evolved to address the complex challenges at the intersection of technology, governance, and society. Over the past decades, Government Information Quarterly (GIQ) has played a pivotal role in documenting and shaping this evolution from basic computerization to sophisticated digital transformation initiatives. The impact of digitalization extends across all aspects of public administration, from service delivery and policy-making to citizen engagement and democratic processes. This study brings together perspectives from leading digital government scholars to examine the nature of digital government research. Through the analysis of the journal's distinctive identity and characteristics, evolution, theoretical landscape, and methodological approaches, it offers insights into how GIQ has evolved to a transdisciplinary platform that bridges theoretical foundations with practical applications while consistently addressing emerging technological challenges, fundamental public sector values, and high-value public policy goals.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102086"},"PeriodicalIF":10.0,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465818","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 : 2025-11-06DOI: 10.1016/j.giq.2025.102088
Brecht Weerheijm, Sarah Giest, Bram Klievink
Artificial Intelligence (AI) advisory systems are being implemented in the public sector for more efficient and effective decision-making. Yet, there is a lack of in-depth qualitative and comparative research focusing on how decision-makers in a real-world setting use different types of AI advisory systems. By asking “How do different AI advisory systems affect use by national security decision-makers?”, this study reveals through a qualitative case study and using scenario-based interviews that decision-makers are more likely to use relatively simple AI systems over complex ‘black box’ systems. Additionally, factors such as accountability concerns and compatibility with existing decision-making processes influence their willingness to use AI advisory systems. Ultimately, a more technically advanced AI system is not necessarily perceived as more competent, as decision-makers view processes like data analysis as integral to nuanced and effective decision-making. This suggests that the fit between the perceived competences and compatibility of the AI system and the decision-making task at hand is highly important for the successful implementation of AI advisory systems.
{"title":"Complexity, understandability, and compatibility: A comparative study of AI advisory systems for National Security","authors":"Brecht Weerheijm, Sarah Giest, Bram Klievink","doi":"10.1016/j.giq.2025.102088","DOIUrl":"10.1016/j.giq.2025.102088","url":null,"abstract":"<div><div>Artificial Intelligence (AI) advisory systems are being implemented in the public sector for more efficient and effective decision-making. Yet, there is a lack of in-depth qualitative and comparative research focusing on how decision-makers in a real-world setting use different types of AI advisory systems. By asking “How do different AI advisory systems affect use by national security decision-makers?”, this study reveals through a qualitative case study and using scenario-based interviews that decision-makers are more likely to use relatively simple AI systems over complex ‘black box’ systems. Additionally, factors such as accountability concerns and compatibility with existing decision-making processes influence their willingness to use AI advisory systems. Ultimately, a more technically advanced AI system is not necessarily perceived as more competent, as decision-makers view processes like data analysis as integral to nuanced and effective decision-making. This suggests that the fit between the perceived competences and compatibility of the AI system and the decision-making task at hand is highly important for the successful implementation of AI advisory systems.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102088"},"PeriodicalIF":10.0,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465819","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 : 2025-11-01DOI: 10.1016/j.giq.2025.102087
Zepeng Gong , Xiao Han , Yueping Zheng
Effective recovery from service failures is critical to the sustainable development of artificial intelligence (AI) government services. However, little is known about this subject in the field of public administration. Three survey experiments (N = 2,368) are administered to investigate if the identity disclosure (IDD) of AI agents could be used as a service recovery strategy to increase user tolerance for government service failures. In addition, the mechanisms and boundaries of IDD’s effects on tolerance and the most effective timing for such disclosures are examined. The findings indicate that: (1) IDD can improve tolerance, an effect fully mediated by a user’s performance expectancy of and perceived respect from a service; (2) the paths for perceived respect are not robust across different levels of service failure severity; and (3) the relatively more effective and economical timing for IDD is pre-failure disclosure. Overall, IDD is an effective strategy for AI government service recovery, and the user’s rational assessment (performance expectancy) plays a more extensive role than emotional assessment (perceived respect) in IDD’s effects on tolerance. This study provides new insights into AI service failure and recovery, thus enriching relevant theories.
{"title":"Recovery from AI government service failures: Is disclosing the identity of the AI agent an effective strategy?","authors":"Zepeng Gong , Xiao Han , Yueping Zheng","doi":"10.1016/j.giq.2025.102087","DOIUrl":"10.1016/j.giq.2025.102087","url":null,"abstract":"<div><div>Effective recovery from service failures is critical to the sustainable development of artificial intelligence (AI) government services. However, little is known about this subject in the field of public administration. Three survey experiments (N = 2,368) are administered to investigate if the identity disclosure (IDD) of AI agents could be used as a service recovery strategy to increase user tolerance for government service failures. In addition, the mechanisms and boundaries of IDD’s effects on tolerance and the most effective timing for such disclosures are examined. The findings indicate that: (1) IDD can improve tolerance, an effect fully mediated by a user’s performance expectancy of and perceived respect from a service; (2) the paths for perceived respect are not robust across different levels of service failure severity; and (3) the relatively more effective and economical timing for IDD is pre-failure disclosure. Overall, IDD is an effective strategy for AI government service recovery, and the user’s rational assessment (performance expectancy) plays a more extensive role than emotional assessment (perceived respect) in IDD’s effects on tolerance. This study provides new insights into AI service failure and recovery, thus enriching relevant theories.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102087"},"PeriodicalIF":10.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416472","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 : 2025-10-29DOI: 10.1016/j.giq.2025.102089
Wei Zhang, Yili Yu
As artificial intelligence (AI) becomes increasingly embedded in public organizations, a critical challenge is how employees adapt to technological change while maintaining effective job performance.The objective of this study is to examine how AI assistance influences public employees' work adaptability. Drawing on Sociotechnical Systems (STS) theory, we develop a moderated mediation model in which AI assistance enhances adaptability through employee creativity, while task complexity serves as a contextual moderator. To test this model, we conducted a 2-by-2 field experiment (AI-assisted vs. non-assisted; complex vs. simple tasks) in the traffic management division of a municipal public security bureau in southwestern China, involving 408 participants and complemented by semi-structured interviews with 20 employees.The results show that AI enhances employees' work adaptability indirectly by stimulating creativity. Moreover, the positive effects of AI are amplified under high task complexity, indicating that AI performs more effectively in cognitively demanding contexts. These findings advance the theoretical understanding of the “technology-task-human” triadic interaction, extend micro-level behavioral research on AI in public administration, and provide practical guidance for the conditional deployment of AI in public organizations.
{"title":"How AI assistance enhances work adaptability in the public sector: A mixed-methods study from Southwest China","authors":"Wei Zhang, Yili Yu","doi":"10.1016/j.giq.2025.102089","DOIUrl":"10.1016/j.giq.2025.102089","url":null,"abstract":"<div><div>As artificial intelligence (AI) becomes increasingly embedded in public organizations, a critical challenge is how employees adapt to technological change while maintaining effective job performance.The objective of this study is to examine how AI assistance influences public employees' work adaptability. Drawing on Sociotechnical Systems (STS) theory, we develop a moderated mediation model in which AI assistance enhances adaptability through employee creativity, while task complexity serves as a contextual moderator. To test this model, we conducted a 2-by-2 field experiment (AI-assisted vs. non-assisted; complex vs. simple tasks) in the traffic management division of a municipal public security bureau in southwestern China, involving 408 participants and complemented by semi-structured interviews with 20 employees.The results show that AI enhances employees' work adaptability indirectly by stimulating creativity. Moreover, the positive effects of AI are amplified under high task complexity, indicating that AI performs more effectively in cognitively demanding contexts. These findings advance the theoretical understanding of the “technology-task-human” triadic interaction, extend micro-level behavioral research on AI in public administration, and provide practical guidance for the conditional deployment of AI in public organizations.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102089"},"PeriodicalIF":10.0,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416471","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 : 2025-10-29DOI: 10.1016/j.giq.2025.102077
E.C. Oomens, R.S. van Wegberg, M.J.G. van Eeten, A.J. Klievink
Intelligence services must balance values such as national security and privacy when collecting data, with each scenario involving specific contextual trade-offs. While citizens benefit from effective intelligence operations, they also risk having their rights infringed upon. This makes citizen perspectives on acceptable data collection for intelligence and national security salient, as their legitimacy is also contingent upon public support. Yet, important aspects of citizen perspectives are understudied, such as the influence of contextual factors related to the use of intelligence collection methods. This study, inspired by Nissenbaum's contextual integrity framework, uses a factorial survey experiment with vignettes among a representative sample of 1423 Dutch citizens to examine the influence of threat type, duration, data subject, collection method, data type, and data retention on public acceptance of surveillance. Additionally, the study considers the impact of respondents' trust and privacy attitudes. The findings reveal significant influence of both contextual variables – particularly threat type, data subject, and data retention – and respondent predispositions – particularly trust in institutions, trust in intelligence services' competence, and privacy concerns for others. The findings imply that more in-depth contextual knowledge among the public may foster support for intelligence activities.
{"title":"Understanding public acceptance of data collection by intelligence services in the Netherlands: A factorial survey experiment","authors":"E.C. Oomens, R.S. van Wegberg, M.J.G. van Eeten, A.J. Klievink","doi":"10.1016/j.giq.2025.102077","DOIUrl":"10.1016/j.giq.2025.102077","url":null,"abstract":"<div><div>Intelligence services must balance values such as national security and privacy when collecting data, with each scenario involving specific contextual trade-offs. While citizens benefit from effective intelligence operations, they also risk having their rights infringed upon. This makes citizen perspectives on acceptable data collection for intelligence and national security salient, as their legitimacy is also contingent upon public support. Yet, important aspects of citizen perspectives are understudied, such as the influence of contextual factors related to the use of intelligence collection methods. This study, inspired by Nissenbaum's contextual integrity framework, uses a factorial survey experiment with vignettes among a representative sample of 1423 Dutch citizens to examine the influence of threat type, duration, data subject, collection method, data type, and data retention on public acceptance of surveillance. Additionally, the study considers the impact of respondents' trust and privacy attitudes. The findings reveal significant influence of both contextual variables – particularly threat type, data subject, and data retention – and respondent predispositions – particularly trust in institutions, trust in intelligence services' competence, and privacy concerns for others. The findings imply that more in-depth contextual knowledge among the public may foster support for intelligence activities.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102077"},"PeriodicalIF":10.0,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416589","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 : 2025-10-24DOI: 10.1016/j.giq.2025.102084
Valentin Wittmann, Timo Meynhardt
The EU and other institutions worldwide have committed to aligning AI with human values to ensure that the technology contributes to the common good. Yet, criticism persists that debates over which values should guide this alignment are dominated by private and public organizations that prioritize technological considerations. Societal perspectives that emphasize broader, non-normative values are often marginalized. This exclusion generates a democratic deficit and risks forgoing the advantages of aligning AI with citizens' public values - namely trust, acceptance and public value creation. To address this gap, we empirically examine EU citizens' regulatory and value preferences regarding AI and its regulation, drawing on two complementary studies and Public Values theory and tools: one mixed-methods study of the EU's Public Consultation and one study based on the quantitative assessment of a newly developed AI Public Value (PV) Landscape. Our findings show that EU citizens (i) prefer binding regulation of AI, (ii) consider both ethical and technological principles as well as broader, non-normative societal values, especially along the moral-ethical value dimension, important, and (iii) serve as a conciliatory force capable of balancing business interests against those of state and NGO stakeholders. These results underscore the importance of aligning AI with broader PVs, reinforcing ethical foundations, and enhancing public inclusion in AI governance to achieve truly human-centric and socially accepted AI.
{"title":"Human-centric AI governance: what the EU public values, what it really, really values","authors":"Valentin Wittmann, Timo Meynhardt","doi":"10.1016/j.giq.2025.102084","DOIUrl":"10.1016/j.giq.2025.102084","url":null,"abstract":"<div><div>The EU and other institutions worldwide have committed to aligning AI with human values to ensure that the technology contributes to the common good. Yet, criticism persists that debates over which values should guide this alignment are dominated by private and public organizations that prioritize technological considerations. Societal perspectives that emphasize broader, non-normative values are often marginalized. This exclusion generates a democratic deficit and risks forgoing the advantages of aligning AI with citizens' public values - namely trust, acceptance and public value creation. To address this gap, we empirically examine EU citizens' regulatory and value preferences regarding AI and its regulation, drawing on two complementary studies and Public Values theory and tools: one mixed-methods study of the EU's Public Consultation and one study based on the quantitative assessment of a newly developed AI Public Value (PV) Landscape. Our findings show that EU citizens (i) prefer binding regulation of AI, (ii) consider both ethical and technological principles as well as broader, non-normative societal values, especially along the moral-ethical value dimension, important, and (iii) serve as a conciliatory force capable of balancing business interests against those of state and NGO stakeholders. These results underscore the importance of aligning AI with broader PVs, reinforcing ethical foundations, and enhancing public inclusion in AI governance to achieve truly human-centric and socially accepted AI.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102084"},"PeriodicalIF":10.0,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362435","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 : 2025-10-18DOI: 10.1016/j.giq.2025.102085
Jianhao Hu , Honghui Zou , Qian Wang
Given the impact of environmental, social, and governance (ESG) rating divergence on sustainable practices, its antecedents have garnered increasing attention. In the context of growing demands for transparency from investors and policymakers, the effect of open government data (OGD) policies on ESG rating divergence remains underexplored. To address this gap, this study examines the dynamic relationship between OGD policies and ESG rating divergence. Using panel data from Chinese listed firms and employing a difference-in-differences approach, the analysis reveals that OGD policies significantly exacerbate ESG rating divergence in the short term, with pronounced effects observed among firms subject to mandatory disclosure requirements and those with state ownership. However, over time, OGD policies reduce the ESG rating divergence. By offering a dynamic analysis, this research contributes to the literature on OGD policies and ESG assessment by underscoring the role of city-level policies in driving institutional change, thereby enhancing our understanding of ESG variability and public policy impacts.
{"title":"From disclosure to discrepancy: How open government data alters ESG rating divergence","authors":"Jianhao Hu , Honghui Zou , Qian Wang","doi":"10.1016/j.giq.2025.102085","DOIUrl":"10.1016/j.giq.2025.102085","url":null,"abstract":"<div><div>Given the impact of environmental, social, and governance (ESG) rating divergence on sustainable practices, its antecedents have garnered increasing attention. In the context of growing demands for transparency from investors and policymakers, the effect of open government data (OGD) policies on ESG rating divergence remains underexplored. To address this gap, this study examines the dynamic relationship between OGD policies and ESG rating divergence. Using panel data from Chinese listed firms and employing a difference-in-differences approach, the analysis reveals that OGD policies significantly exacerbate ESG rating divergence in the short term, with pronounced effects observed among firms subject to mandatory disclosure requirements and those with state ownership. However, over time, OGD policies reduce the ESG rating divergence. By offering a dynamic analysis, this research contributes to the literature on OGD policies and ESG assessment by underscoring the role of city-level policies in driving institutional change, thereby enhancing our understanding of ESG variability and public policy impacts.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102085"},"PeriodicalIF":10.0,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320790","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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