Government Information Quarterly最新文献_第3页

State versus Technology: What drives trust in and usage of internet voting, institutional or technological trust? 国家与技术：是什么推动了对互联网投票的信任和使用，是机构的信任还是技术的信任？

IF 1 1区管理学

Government Information Quarterly Pub Date : 2025-12-01 Epub Date: 2025-09-05 DOI: 10.1016/j.giq.2025.102068

Bogdan Romanov , David Duenas Cid , Peeter Leets

{"title":"State versus Technology: What drives trust in and usage of internet voting, institutional or technological trust?","authors":"Bogdan Romanov , David Duenas Cid , Peeter Leets","doi":"10.1016/j.giq.2025.102068","DOIUrl":"10.1016/j.giq.2025.102068","url":null,"abstract":"<div><div>This study examines the combined influence of technological and institutional trust on citizens’ perceptions of and engagement with Internet voting, addressing gaps in the literature on digital governance and trust. While prior research often treats these trust dimensions separately, this article explores their interplay within the context of Estonia, which has utilized Internet voting for two decades. By constructing composite indices for technological and institutional trust through factor analysis, the study offers a novel methodological approach to operationalizing trust in digital governance (within the article, digital governance and e-governance are used interchangeably) research in general and Internet voting in particular, based on post-electoral survey data.</div><div>Applying linear and logistic regression analyses, the study explicitly examines how these trust dimensions affect citizens’ trust in Internet voting systems and their actual use of such technology. The findings reveal that institutional trust is significantly more influential than technological trust, consistently emerging as the primary driver for both trusting Internet voting and engaging in its usage. Technological trust, in contrast, demonstrates only marginal predictive strength, highlighting the greater importance citizens place on institutional legitimacy, transparency, and accountability. These results emphasize the compensatory nature of institutional trust, suggesting that robust institutional frameworks allow citizens to confidently engage with complex technological systems despite limited technical understanding. Consequently, this research enhances theoretical insights into trust dynamics within digital governance, particularly in contexts where political sensitivity and institutional credibility significantly impact technology adoption.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102068"},"PeriodicalIF":10.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144997730","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}

引用次数: 0

From disclosure to discrepancy: How open government data alters ESG rating divergence 从披露到差异：政府数据公开如何改变ESG评级差异

IF 1 1区管理学

Government Information Quarterly Pub Date : 2025-12-01 Epub Date: 2025-10-18 DOI: 10.1016/j.giq.2025.102085

Jianhao Hu , Honghui Zou , Qian Wang

{"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":"2025-12-01","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}

引用次数: 0

Digital transformation leadership: A public value-centered measurement scale 数字化转型领导力：一个以公共价值为中心的衡量尺度

IF 1 1区管理学

Government Information Quarterly Pub Date : 2025-12-01 Epub Date: 2025-11-24 DOI: 10.1016/j.giq.2025.102091

Henrico van Roekel , Martiene Branderhorst , Lars Tummers , Albert Meijer

{"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}

引用次数: 0

Artificial Intelligence in deliberation: The AI penalty and the emergence of a new deliberative divide 审议中的人工智能：人工智能的惩罚和新的审议鸿沟的出现

IF 1 1区管理学

Government Information Quarterly Pub Date : 2025-12-01 Epub Date: 2025-09-24 DOI: 10.1016/j.giq.2025.102079

Andreas Jungherr , Adrian Rauchfleisch

{"title":"Artificial Intelligence in deliberation: The AI penalty and the emergence of a new deliberative divide","authors":"Andreas Jungherr , Adrian Rauchfleisch","doi":"10.1016/j.giq.2025.102079","DOIUrl":"10.1016/j.giq.2025.102079","url":null,"abstract":"<div><div>Advances in Artificial Intelligence (AI) promise help for democratic deliberation, such as processing information, moderating discussion, and fact-checking. But public views of AI's role remain underexplored. Given widespread skepticism, integrating AI into deliberative formats may lower trust and willingness to participate. We report a preregistered within-subjects survey experiment with a representative German sample (<em>n</em> = 1850) testing how information about AI-facilitated deliberation affects willingness to participate and expected quality. Respondents were randomly assigned to descriptions of identical deliberative tasks facilitated by either AI or humans, enabling causal identification of information effects. Results show a clear AI penalty: participants were less willing to engage in AI-facilitated deliberation and anticipated lower deliberative quality than for human-facilitated formats. The penalty shrank among respondents who perceived greater societal benefits of AI or tended to anthropomorphize it, but grew with higher assessments of AI risk. These findings indicate that AI-facilitated deliberation currently faces substantial public skepticism and may create a new “deliberative divide.” Unlike traditional participation gaps linked to education or demographics, this divide reflects attitudes toward AI. Efforts to realize AI's affordances should directly address these perceptions to offset the penalty and avoid discouraging participation or exacerbating participatory inequalities.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102079"},"PeriodicalIF":10.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158724","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}

引用次数: 0

Complexity, understandability, and compatibility: A comparative study of AI advisory systems for National Security 复杂性、可理解性和兼容性：国家安全人工智能咨询系统的比较研究

IF 1 1区管理学

Government Information Quarterly Pub Date : 2025-12-01 Epub Date: 2025-11-06 DOI: 10.1016/j.giq.2025.102088

Brecht Weerheijm, Sarah Giest, Bram Klievink

{"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":"2025-12-01","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}

引用次数: 0

Parallel learning loops in collaborative innovation: Insights from digital government 协同创新中的平行学习循环：来自数字政府的见解

IF 1 1区管理学

Government Information Quarterly Pub Date : 2025-12-01 Epub Date: 2025-10-09 DOI: 10.1016/j.giq.2025.102080

Philipp Trein, Bastien Presset, Thenia Vagionaki

{"title":"Parallel learning loops in collaborative innovation: Insights from digital government","authors":"Philipp Trein, Bastien Presset, Thenia Vagionaki","doi":"10.1016/j.giq.2025.102080","DOIUrl":"10.1016/j.giq.2025.102080","url":null,"abstract":"<div><div>The implementation of digital innovations in the public sector—such as Electronic Health Records (EHRs)—requires decisionmakers to engage in learning processes. This article investigates how collective learning processes unfold in collaborative innovation, focusing on the development of Switzerland's national Electronic Health Record (EHR) system. Building on policy learning and collaborative governance literatures, we conceptualize learning as comprising two interdependent processes: policy-oriented learning (focused on technical effectiveness) and power-oriented learning (concerned with political feasibility). Drawing on 39 semi-structured interviews and extensive document analysis, we find that the EHR initiative followed a sequential learning pattern—technical solutions were developed before sufficient political support was secured—leading to a politically endorsed but technically flawed implementation. The study introduces the concept of parallel learning loops to explain how simultaneous engagement with technical and political dimensions can improve innovation outcomes. These findings advance theoretical understanding of collaborative learning in digital government and underscore the need for institutional designs that support concurrent technical and political deliberation in complex innovation processes.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102080"},"PeriodicalIF":10.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267842","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}

引用次数: 0

Bridging trust in AI and its adoption: The role of organizational support in AI chatbot implementation in korean government agencies 弥合对人工智能的信任及其采用：韩国政府机构在人工智能聊天机器人实施中的组织支持作用

IF 1 1区管理学

Government Information Quarterly Pub Date : 2025-12-01 Epub Date: 2025-09-27 DOI: 10.1016/j.giq.2025.102081

Seongkyung Cho , Joon-Young Hur , Danee Kim

{"title":"Bridging trust in AI and its adoption: The role of organizational support in AI chatbot implementation in korean government agencies","authors":"Seongkyung Cho , Joon-Young Hur , Danee Kim","doi":"10.1016/j.giq.2025.102081","DOIUrl":"10.1016/j.giq.2025.102081","url":null,"abstract":"<div><div>Amid rapid technological advancements, AI-chatbot integration into government workplaces represents a transformative shift to enhance communication, streamline administrative processes, and boost employee efficiency. Through a mixed-methods design combining survey data and employee interviews, this study analyzes how trust in AI chatbots influences employee utilization of chatbots in government organizations and examines organizational support's moderating role. By demonstrating the pivotal roles of trust and organizational support, this study emphasizes their combined effect on driving adoption and digital transformation within government agencies. Findings provide insights for government administrators and policymakers, guiding the development of trust-building strategies and organizational support mechanisms to promote effective chatbot adoption in public-sector workplaces. This research fills the empirical gap in understanding chatbot adoption from the perspective of government employees and illuminates opportunities and challenges as public-sector employees adapt to technological changes in their work environments.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 4","pages":"Article 102081"},"PeriodicalIF":10.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158798","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}

引用次数: 0

How AI assistance enhances work adaptability in the public sector: A mixed-methods study from Southwest China 人工智能辅助如何增强公共部门的工作适应性：来自西南地区的混合方法研究

IF 1 1区管理学

Government Information Quarterly Pub Date : 2025-12-01 Epub Date: 2025-10-29 DOI: 10.1016/j.giq.2025.102089

Wei Zhang, Yili Yu

{"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":"2025-12-01","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}

引用次数: 0

Understanding public acceptance of data collection by intelligence services in the Netherlands: A factorial survey experiment 了解公众对荷兰情报部门收集数据的接受程度：一个析因调查实验

IF 1 1区管理学

Government Information Quarterly Pub Date : 2025-12-01 Epub Date: 2025-10-29 DOI: 10.1016/j.giq.2025.102077

E.C. Oomens, R.S. van Wegberg, M.J.G. van Eeten, A.J. Klievink

{"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":"2025-12-01","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}

引用次数: 0

Human-centric AI governance: what the EU public values, what it really, really values 以人为中心的人工智能治理：欧盟公众的价值观是什么，它真正的价值观是什么

IF 1 1区管理学

Government Information Quarterly Pub Date : 2025-12-01 Epub Date: 2025-10-24 DOI: 10.1016/j.giq.2025.102084

Valentin Wittmann, Timo Meynhardt

{"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":"2025-12-01","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}

引用次数: 0