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Adaptive governance amidst the war: Overcoming challenges and strengthening collaborative digital service provision in Ukraine 战争中的适应性治理:乌克兰克服挑战并加强协作式数字服务提供
IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-07-07 DOI: 10.1016/j.giq.2025.102056
Mariana Gustafsson , Olga Matveieva , Elin Wihlborg , Yevgeniy Borodin , Tetiana Mamatova , Sergiy Kvitka
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.
本案例研究探讨了数字服务的共同生产如何有助于重新构建协作治理的制度结构,从而有效应对集体威胁。本研究探讨了协作治理和数字技术在乌克兰持续战争中确保公共服务提供方面的作用。该研究重点关注Diia平台和地方政府与民间社会组织之间的服务合作,强调了数字工具如何在战争造成的极端危机下实现适应性治理。通过分析数字技术支持的公共服务协同生产实践中的制度动态,本研究揭示了极端危机条件下社会适应性治理的联合能力。本研究以第聂伯罗彼得罗夫斯克地区为实证案例,运用奥斯特罗姆的制度分析与发展(IAD)框架来考察政府和民间社会合作提供公共服务如何促进了制度变革和适应。调查结果有助于就当前极端危机中的治理问题展开更广泛的讨论,为受冲突影响地区提供了宝贵的见解,并强调了灵活、数字化的制度安排对维持公共服务提供的重要性。
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引用次数: 0
AI-augmented government transformation: Organisational transformation and the sociotechnical implications of artificial intelligence in public administrations 人工智能增强的政府转型:公共行政部门的组织转型和人工智能的社会技术影响
IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-27 DOI: 10.1016/j.giq.2025.102055
Luca Tangi , A. Paula Rodriguez Müller , Marijn Janssen
Implementing artificial intelligence (AI) in public settings requires a fundamental transformation of various social and technical aspects within public administration. However, the transformative efforts required for AI integration and use in government remain underexplored. This study introduces the concept of 'AI-augmented government transformation,' building on sociomateriality and sociotechnical theory, and develops a theoretical framework to explore this phenomenon. By applying this framework and drawing insights from expert interviews, we identify the strategic shifts and socio-technical adaptations essential for integrating AI into public administrations. Our analysis highlights the importance of opening the 'black box' of AI to gain a deep understanding of its underlying technologies and their materialities.
The findings reveal complex interdependencies between AI materiality and the social and technical systems that public administrations must navigate. Specifically, AI, as a novel materiality, introduces new organizational dynamics, enhances employee capabilities, and alters operational routines and practices. These changes complement technical ones, such as upgrades and advancements in data collection and processing. By investigating the complexities of AI-augmented government transformation, this research offers novel and practical insights for policymakers and practitioners navigating the challenges and opportunities of AI integration.
在公共环境中实施人工智能(AI)需要在公共行政的各个社会和技术方面进行根本性的转变。然而,政府整合和使用人工智能所需的变革努力仍未得到充分探索。本研究在社会物质性和社会技术理论的基础上引入了“人工智能增强政府转型”的概念,并建立了一个理论框架来探讨这一现象。通过应用这一框架并从专家访谈中获取见解,我们确定了将人工智能纳入公共行政所必需的战略转变和社会技术适应。我们的分析强调了打开人工智能的“黑匣子”以深入了解其底层技术及其材料的重要性。研究结果揭示了人工智能重要性与公共行政部门必须驾驭的社会和技术系统之间复杂的相互依存关系。具体来说,人工智能作为一种新的重要性,引入了新的组织动态,提高了员工的能力,并改变了运营惯例和实践。这些变化补充了技术上的变化,例如数据收集和处理方面的升级和进步。通过研究人工智能增强政府转型的复杂性,本研究为决策者和实践者提供了新颖而实用的见解,以应对人工智能整合的挑战和机遇。
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引用次数: 0
Public perceptions of responsible AI in local government: A multi-country study using the theory of planned behaviour 公众对地方政府负责任人工智能的看法:一项使用计划行为理论的多国研究
IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-24 DOI: 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.
人工智能(AI)的兴起对地方政府的服务提供产生了重大影响,在提供可观优势的同时,也存在需要谨慎管理的固有风险。虽然负责任的人工智能已成为学术和政策讨论的焦点,但公众的看法在这些辩论中仍然处于边缘地位。本文探讨了行为因素以及感知风险、地方政府人工智能政策意识和政策预期如何影响公众支持地方政府负责任的人工智能实践的意愿。本研究运用计划行为理论,透过验证性因子分析(Confirmatory Factor Analysis)检视多因素调查,然后运用结构方程模型(Structural Equation modeling)评估关键因素之间的关系。通过多产平台对来自澳大利亚、美国和西班牙的参与者进行的问卷调查揭示了关键的见解:(A)感知风险比其他因素的影响更大;(b)政策意识在形成公众支持负责任做法的意愿方面发挥关键作用;(c)更强的人工智能政策意识与地方政府对人工智能政策更现实的期望相关;(d)社会影响在这方面缺乏显著影响。这些发现为城市决策者制定人工智能战略提供了有价值的指导,以促进当地政府服务部门负责任地实施人工智能。
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引用次数: 0
Navigating power dynamics in the public sector through AI-driven algorithmic decision-making 通过人工智能驱动的算法决策,引导公共部门的权力动态
IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-20 DOI: 10.1016/j.giq.2025.102053
Kamran Mahroof , Vishanth Weerakkody , Zahid Hussain , Uthayasankar Sivarajah
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.
公共部门机构面临越来越大的压力,需要通过颠覆性技术创造更大的公共价值,尽管压力持续存在。为了应对不断发展的技术变革和丰富的信息,许多公共机构采用人工智能(AI)来改善决策和创造社会价值。虽然人工智能在公共行政中的作用越来越受到关注,但人们对其使用如何改变内部权力动态知之甚少。本研究采用定性案例研究方法,对一家大型公共机构的运营经理和各种分析师进行了30次半结构化访谈,以探索人工智能如何影响权力关系。调查结果显示,人工智能的使用在运营经理、组织范围内的分析师以及拥有技术和机构专业知识的越来越有影响力的混合/内部分析师之间造成了紧张关系。该研究提出并实证验证了人工智能权力制定框架,并引入了人工智能权力矩阵,为政策制定者提供了评估人工智能项目的结构化工具。这些见解可以为有针对性的筹资战略和能力建设提供信息,有助于减少对混合分析人员的依赖,并提高人工智能在公共部门实施的成功率。
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引用次数: 0
Self-sovereign identity in the public sector: Affordances, experimentation, and actualization 公共部门的自我主权认同:启示、实验和实现
IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-18 DOI: 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.
自我主权身份(Self-Sovereign Identity, SSI)这一新兴概念承诺提供更加便携、安全、便捷的身份服务。特别是公共部门,在这一新兴概念的创新方面投入了大量资金。然而,对SSI的价值和产品如何被利用的深入理解是缺乏的,这导致了在公共部门设计和实施基于SSI的应用程序的复杂性和不安全性。因此,我们进行了一个案例研究,旨在利用SSI进行在线市场的税务登记。我们选择认知-实验-实现(A-E-A)理论来探讨SSI的实施和利用。因此,我们确定了四种组织层面的SSI能力,并提供了关于公共部门组织如何通过开发基于能力的创新框架来利用SSI进行创新并从中受益的见解。最后,我们通过揭示实验阶段如何通过增加技术、文化和政治契合度来塑造组织环境,从而为A-E-A理论做出贡献。
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引用次数: 0
Digital ethics: Global trends and divergent paths 数字伦理:全球趋势和不同路径
IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-18 DOI: 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.
本研究的重点是政府机构如何在其政策中解决数字道德问题。使用结构化主题模型(STM),一种自动文本挖掘技术,我们分析了国家政府和国际政府组织(igo)在2007年至2022年间发布的71份政策文件。我们的分析确定了22个突出主题,分为三大主题:负责任技术的发展、数字权利和道德治理。本研究对这些议题和主题进行了全面的概述,包括各种政策之间的主要异同。我们揭示了这些主题随时间的演变,并讨论了政策中的关键要素。虽然调查结果表明,在指导数字技术开发和使用的核心道德原则方面存在共识,但各国和政府间组织之间在处理的具体主题和政策优先事项方面存在显著差异。这项研究通过全面概述政府政策的主流主题,突出了共同点和分歧领域,为数字伦理辩论做出了贡献。我们还讨论了这些发现的意义,并提出了未来的研究方向。
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引用次数: 0
Barriers to and mechanism for open government data use by the private sectors: A grounded theory approach 私营部门开放政府数据使用的障碍和机制:基于理论的方法
IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-13 DOI: 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.
随着地方政府建立了政府数据开放平台并向公众开放数据,政府数据开放取得了巨大进展。尽管如此,私营部门对OGD的实际使用仍远低于预期,尽管人们普遍认为私营部门对OGD有大量需求。尽管有一些文献描述了使用OGD的障碍,但这些障碍与私营部门有限使用OGD背后的机制之间的关系尚未得到彻底探讨。本研究旨在揭示二者之间的关系,以形成一个整体的理论,并对这一问题有更深入的了解。通过对18位来自私营部门的高级管理人员、工程师等专业人士的访谈,运用经典扎根理论方法,构建了私营部门使用OGD的理论模型,包括认知、商业价值评估、价值追求和组织情境四个主要类别,其中价值追求起着举足轻重的作用。本研究提出了一种整合私营部门利用OGD的各种因素的行为过程机制,为现有文献做出了贡献。在此基础上,对政策制定者提出了改进OGD使用和OGD建设的建议。
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引用次数: 0
Innovation interrupted: The gap between value creation and evaluation in the public sector 创新中断:公共部门价值创造与评估之间的差距
IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-12 DOI: 10.1016/j.giq.2025.102035
Leman Isik
Innovation in the public sector is crucial for addressing societal challenges, improving service delivery, and delivering public value. This qualitative study of what is valued in 141 public sector digital innovation initiatives in Sweden reveals a shift in what is valued when setting out value creation propositions (goals), and when value is later evaluated (intended outcomes). An emphasis on operational efficiency in the latter narrows the focus of innovation, prioritizing operational efficiency over broader societal benefits. Using a valuation lens, the research shows that this shift in values amounts to decoupling between value creation propositions and evaluated values. To address this, the study investigates the following research question (RQ):
How does an interruption of the coupling between value creation propositions and their evaluated value influence public sector innovation?
This study identifies three kinds of decoupling, namely translation errors, prioritization clashes, and open-endedness—that drive this interruption in public sector innovation.
While operational efficiency elsewhere is seen as a driver of (public sector) innovation, here I argue that it risks becoming an inhibitor. The same is true of open-ended digital innovation for its own sake, insofar as it contributes to decoupling perceptions of what is valuable in public sector digital innovation. By positioning these insights within the broader literature on public sector innovation and valuation, this study underscores the critical implications of avoiding decoupling, for effective innovation in the public sector.
公共部门的创新对于应对社会挑战、改善服务提供和创造公共价值至关重要。这项对瑞典141项公共部门数字创新计划中所重视的东西进行的定性研究揭示了在制定价值创造主张(目标)和随后评估价值(预期结果)时所重视的东西的转变。后者对运营效率的强调缩小了创新的焦点,将运营效率置于更广泛的社会效益之上。使用估值镜头,研究表明,这种价值的转变相当于价值创造主张和评估价值之间的脱钩。为了解决这个问题,本研究调查了以下研究问题(RQ):价值创造主张与其评估价值之间耦合的中断如何影响公共部门创新?本研究确定了导致公共部门创新中断的三种脱钩,即翻译错误、优先顺序冲突和开放性。虽然在其他地方,运营效率被视为(公共部门)创新的驱动因素,但在这里,我认为它有可能成为一种抑制因素。开放式数字创新本身也是如此,因为它有助于对公共部门数字创新中有价值的东西的看法脱钩。通过将这些见解置于有关公共部门创新和估值的更广泛文献中,本研究强调了避免脱钩对公共部门有效创新的重要意义。
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引用次数: 0
Benefits slippage: The yearlong process of implementing electronic document management in a Danish municipality 效益下滑:在丹麦市政当局实施电子文档管理长达一年的过程
IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-05 DOI: 10.1016/j.giq.2025.102051
Kasper N. Vissing, Mikkel H. Knoll, Morten Hertzum
Government institutions invest substantial resources in digitalizing their processes and services. To benefit from these investments, the expected benefits must be specified and systematically pursued. Otherwise, they will likely slip. Benefits slippage is the situation where specified benefits do not materialize even though they continue to be seen as, at least partially, realizable. This study investigates benefits slippage in the implementation of electronic document management in a municipality in Denmark. On the basis of interviews, we identify three reasons why benefits slipped. First, inactionable benefits specifications make it difficult to see the link between the specified benefits and the work-process changes necessary to realize them, thereby leaving staff without directions about what changes to implement. Second, a prolonged realization process increases the opportunity for external events to disrupt the process, thereby shifting attention to other matters before the benefits have been realized. Third, absent benefits follow-up leaves the status of benefits realization uncertain or ignores indications that benefits have not been realized, thereby prolonging or discontinuing the realization process. In the studied municipality, the specified benefits had slipped for three years. Future research should investigate how benefits-realization initiatives can be resumed late, locally, and at low cost.
政府机构在数字化流程和服务方面投入了大量资源。为了从这些投资中获益,必须明确规定预期的收益,并有系统地追求这些收益。否则,它们可能会滑落。利益滑脱是一种情况,即特定的利益没有实现,即使它们继续被认为是可以实现的,至少部分可以实现。本研究调查了丹麦一个自治市实施电子文档管理的效益下滑。在访谈的基础上,我们确定了福利下滑的三个原因。首先,不可操作的利益规范使得很难看到指定的利益和实现它们所必需的工作流程变更之间的联系,从而使员工不知道要实现哪些变更。其次,延长的实现过程增加了外部事件破坏该过程的机会,从而在实现利益之前将注意力转移到其他事项上。第三,缺乏福利跟踪使得福利实现的状态不确定或忽视了福利尚未实现的迹象,从而延长或中断了福利实现过程。在被研究的市政当局,指定的福利已经下滑了三年。未来的研究应探讨如何在较晚、局部和低成本的情况下恢复效益实现计划。
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引用次数: 0
Exploring the complexity of cross-boundary data collaboratives based on the foundation of governmental open data: A study in Taiwan 基于政府开放数据的跨界数据协同复杂性探讨:以台湾为例
IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-06-04 DOI: 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.
近年来,基于政府开放数据的数据驱动型协作伙伴关系的发展趋势日益明显。一些政府机构正试图与其他部门的行为者和组织形成跨界数据协作,以解决公共问题和开发创新应用。​本研究在实证数据支持下,识别并探讨了跨境数据协作的动机、形式和影响因素。具体而言,本研究从数据、组织、立法和环境四个角度探讨影响因素。人们注意到,政府机构和其他部门的参与者可能具有混合的动机。此外,政府机构仍在学习和适应跨境数据协作的概念,这既是机遇也是挑战。因此,政府机构和其他部门的参与者倾向于保持一种灵活的协作结构,以在各自的倡议中保持高度的自主性和灵活性。期望本探索性研究的讨论与实际意义,能提供学术研究者与实务人员的见解。报告的跨境数据协作经验对其他国家的政府管理部门也有价值。
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引用次数: 0
期刊
Government Information Quarterly
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