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1.
《Government Information Quarterly》2022,39(4):101742
Literature shows there is a growing interest in studies involving Artificial Intelligence (AI) in the public sector; and while there is evidence of many governmental initiatives that have been established to harness the power of AI, empirical research on the topic and evidence-based insights are rather lacking. The aim of this Special Issue on Artificial Intelligence for Data-Driven Decision-Making and Governance in Public Affairs is to extend both the theoretical and practical boundaries of AI research in the public sector in order to improve governmental decision-making and governance, thus enhancing public value creation. The papers in this special issue focus on AI risks and guidelines, AI governance, the risks of governmental implementation of AI to citizens' privacy, increasing citizen satisfaction through AI-enabled government services, the enablers and challenges of AI implementation in specific public sectors, and using AI to study political opinion. These papers not only advance our knowledge and understanding of the use of AI in government and public governance, but they also help to set out a renewed research agenda. Future research should, among other things, focus on inter- and multi-disciplinary empirical studies that call for the collaboration of a variety of stakeholders; on the longitudinal dynamics of creating public value through the breadth and depth of AI assimilation; and on the investigation of the ethical challenges (particularly data privacy) in AI implementation. 相似文献
2.
To lay the foundation for the special issue that this research article introduces, we present 1) a systematic review of existing literature on the implications of the use of Artificial Intelligence (AI) in public governance and 2) develop a research agenda. First, an assessment based on 26 articles on this topic reveals much exploratory, conceptual, qualitative, and practice-driven research in studies reflecting the increasing complexities of using AI in government – and the resulting implications, opportunities, and risks thereof for public governance. Second, based on both the literature review and the analysis of articles included in this special issue, we propose a research agenda comprising eight process-related recommendations and seven content-related recommendations. Process-wise, future research on the implications of the use of AI for public governance should move towards more public sector-focused, empirical, multidisciplinary, and explanatory research while focusing more on specific forms of AI rather than AI in general. Content-wise, our research agenda calls for the development of solid, multidisciplinary, theoretical foundations for the use of AI for public governance, as well as investigations of effective implementation, engagement, and communication plans for government strategies on AI use in the public sector. Finally, the research agenda calls for research into managing the risks of AI use in the public sector, governance modes possible for AI use in the public sector, performance and impact measurement of AI use in government, and impact evaluation of scaling-up AI usage in the public sector. 相似文献
3.
《Government Information Quarterly》2022,39(3):101714
Artificial Intelligence is increasingly being used by public sector organisations. Previous research highlighted that the use of AI technologies in government could improve policy making processes, public service delivery and the internal management of public administrations. In this article, we explore to which extent the use of AI in the public sector impacts these core governance functions. Findings from the review of a sample of 250 cases across the European Union, show that AI is used mainly to support improving public service delivery, followed by enhancing internal management and only in a limited number assist directly or indirectly policy decision-making. The analysis suggests that different types of AI technologies and applications are used in different governance functions, highlighting the need to further in-depth investigation to better understand the role and impact of use in what is being defined the governance “of, with and by AI”. 相似文献
4.
许俊松 《大学图书情报学刊》2014,32(6):37-39
文章从法人治理结构的机制展开论述,阐述了当前我国公共图书馆推行法人治理结构的情况,在此基础上指出推进法人治理结构所面临的问题,并对推进公共图书馆法人治理结构的途径进行了探索研究。 相似文献
5.
《Government Information Quarterly》2019,36(2):368-383
The nascent adoption of Artificial Intelligence (AI) in the public sector is being assessed in contradictory ways. But while there is increasing speculation about both its dangers and its benefits, there is very little empirical research to substantiate them. This study aims at mapping the challenges in the adoption of AI in the public sector as perceived by key stakeholders. Drawing on the theoretical lens of framing, we analyse a case of adoption of the AI system IBM Watson in public healthcare in China, to map how three groups of stakeholders (government policy-makers, hospital managers/doctors, and Information Technology (IT) firm managers) perceive the challenges of AI adoption in the public sector. Findings show that different stakeholders have diverse, and sometimes contradictory, framings of the challenges. We contribute to research by providing an empirical basis to claims of AI challenges in the public sector, and to practice by providing four sets of guidelines for the governance of AI adoption in the public sector. 相似文献
6.
《Government Information Quarterly》2022,39(3):101692
As GovTech solutions are steadily entering the public sector, they have yet to find their way into the mainstream literature. GovTech refers to socio-technical solutions – that are developed and operated by private organisations – intertwined with public sector components for facilitating processes in the public sector. GovTech solutions promise a superior customer journey for citizens and businesses compared to current government portals and front desks. GovTech solutions can be a blessing in disguise for governments struggling in their digital transformation journey, carrying the burden of public service innovation and replacing legacy systems with modern GovTech solutions. Yet, there are also concerns that GovTech solutions are a Trojan horse, exploiting the lack of technical knowledge at public agencies and shifting decision-making power from public agencies to market parties, thereby undermining digital sovereignty and public values. This paper develops a research agenda for GovTech based on a conceptual framework. This framework reveals four interrelated design areas for GovTech: institutional, governance, technical and human-centred design. Governments can employ the conceptual framework to further align and develop their strategies by focussing on GovTech governance, referring to the ability to manage the various interdependencies between the four design areas. 相似文献
7.
《Government Information Quarterly》2022,39(4):101685
This study addresses the growing challenge of governing artificial intelligence (AI) arising from the risks that it increasingly poses to the public sector and society. Based on an in-depth literature analysis, we first identify AI risks and guidelines and classify them into six categories, including technological, data, and analytical risks and guidelines, informational and communicational risks and guidelines, economic risks and guidelines, social risks and guidelines, ethical risks and guidelines, as well as legal and regulatory risks and guidelines. These risks and guidelines are then elaborated and transferred into a four-layered conceptual framework for AI governance. The framework interrelates AI risks and AI guidelines by means of a risk management and guidance process, resulting in an AI governance layer depicting the process for implementation of customised risk mitigation guidelines. The framework constitutes a comprehensive reference point for developing and implementing AI governance strategies and measures in the public sector. 相似文献
8.
《Government Information Quarterly》2022,39(2):101643
Social media have become a common organizational resource of governments and public administrations in different contexts. Previous authors have stated that social media institutionalization encompasses a process including stages from experimentation to complete command of the innovation. However, an understanding of barriers to social media institutionalization in public administration needs to be developed. In this article we focus on exploring what factors operate as barriers of the social media institutionalization process. Methodologically, we use a mixed-methods strategy combining different sources of data for triangulation purposes, including a survey on social media conducted to Spanish largest local governments. Based on this data, and following the literature on social media institutionalization, we construct a Social Media Institutionalization Index (SMI). Our SMI is founded on a set of variables measuring to what extent social media have been embedded in public sector organizations. Also, we conducted a case study in a city council based on semi-structured interviews. Our results suggest that social media institutionalization has not been fully developed in our sample of local governments. In addition, different variables (including security, lack of resources for maintenance, control and evaluation, organizational culture, or absence of governance framework) are perceived by public managers as institutionalization barriers, whereas the governance scheme of social media seems to be the critical variable. At the same time, we emphasize that some inhibitors might be overvalued by public employees. This article encourages future avenues of comparative research and practical recommendations to public managers leading social media in the public sector. 相似文献
9.
《Government Information Quarterly》2022,39(4):101617
Artificial Intelligence (AI) has been suggested to have transformative potential for public sector organizations through enabling increased productivity and novel ways to deliver public services. In order to materialize the transformative potential of AI, public sector organizations need to successfully assimilate AI in their operational activities. However, AI assimilation in the public sector appears to be fragmented and lagging the private sector, and the phenomena has really limited attention from academic research community. To address this gap, we adopt the case study approach to explore three Saudi-Arabian public sector organizations and analyze the results using the attention-based view of the organization (ABV) as the theoretical lens. This study elucidates the challenges related AI assimilation in public sector in terms of how organizational attention is focused situated and distributed during the assimilation process. Five key challenges emerged from the cases studied, namely (i) misalignment between AI and management decision-making, (ii) tensions with linguistics and national culture, (iii) developing and implementing AI infrastructure, (iv) data integrity and sharing, and (v) ethical and governance concerns. The findings reveal a re-enforcing relationship between the situated attention and structural distribution of attention that can accelerate the successful assimilation of AI in public sector organizations. 相似文献
10.
Information system (IS) project failures are so common as to be almost expected by planners. There is an expanding literature on IS project failures including both theory and case studies. This literature, however, is largely derived from private sector IS failures, despite the fact that the likelihood of failure appears higher in the public sector. This article seeks to fill the public sector case study void. It details the failure and abandonment of a large New Zealand public hospital IS development. The case corroborates findings from the private sector literature, namely that ill-planned and managed, large and multifaceted projects are more likely to fail and that contextual issues are highly influential. It also shows how much more complex project commissioning and development is in situations of public governance where political and organizational elements come to the fore. Finally, the article offers lessons for public sector IS planners. 相似文献
11.
《Government Information Quarterly》2004,21(3):284-304
This article reports on a study that asked chief information officers (CIOs), or their equivalents, from the public (U.S. Federal Government) and private (Fortune 1000) sector their perceptions about the biggest challenges that face their respective organizations. The study accomplished this task by examining the priority assigned to information resource management (IRM) critical success factors (CSFs) (via rank ordering) by these high-ranking executives. Contrary to the literature, the research revealed no statistically significant differences between these sectors. The article explores the implications of these findings and avenues for future research. 相似文献
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《Government Information Quarterly》2019,36(4):101399
Motivated by the growing significance of the sharing economy, we discuss the roles the public sector may play within the sharing economy and the corresponding implications for public values. The sharing economy represents a transformative agent for the public sector within the current landscape of digital transformation. While the public sector has so far acted mainly as a regulatory body in the sharing economy, we here discuss implications for other roles the public sector may take on, including the roles of customer, service provider, and platform provider. Framed within the context of the public value ideals (professional, efficiency, service, and engagement), we examine the opportunities and challenges of each role for the four public values. Finally, we identify areas for future research, focusing on the implications of public values for the public sector in the sharing economy. 相似文献
14.
Manoj A. Thomas Joseph Cipolla Bob Lambert Lemuria Carter 《Government Information Quarterly》2019,36(4):101401
To determine how critical data assets are conceptualized and managed in the public sector, we conducted a large-scale empirical study at 15 government agencies. We use the Data Management Maturity (DMM) reference model framework to conduct a systematic multi-level analysis (inter-agency, intra-agency, and cross-case analysis). To aid the comparative assessment of multiple independent agencies, we propose and test the DMM Index. The study not only examines the maturity of data management practices in government agencies, but also provides guidance on how an enterprise-wide, systematic assessment may be conducted. The approach presented in the paper can be replicated at other large government entities and private conglomerates. Public and private sector agencies may apply the approach to develop custom roadmaps for data management improvements that align with the organization's business goals. 相似文献
15.
Agustí Cerrillo-i-Martínez 《Government Information Quarterly》2011,28(2):188-199
Transparency is one of the main challenges for public administrations in the information society to bring the public administrations closer to citizens and finally, to improve their democratic legitimacy. The article focuses on new tools to regulate the diffusion of public sector information and it also contributes some elements which will improve it. This analysis will be done, firstly by examining the various regulations approved in Spain on the diffusion of public sector information through electronic means. In particular, the scope of the Spanish e-Government Act will be analyzed in relation to the diffusion of public sector information through electronic means. Finally, some landmarks will be proposed which can serve to guide the formulation of new regulations on the use of electronic means for diffusing public sector information not only by Spanish public authorities but also by other authorities who intend to pass a regulation in this field to improve transparency. 相似文献
16.
[目的/意义]数据治理是实现大数据驱动公共安全治理模式变革的基础,构建体现领域特殊性与敏感性的公共安全数据治理体系为开展科学研究与治理实践提供理论框架指导。[方法/过程]从交叉学科视角出发,对公共安全数据治理的概念进行溯源,并剖析其发展的学科理论基础和驱动力;在此基础上解析代表性文献,梳理公共安全数据治理的解决问题、治理主体、客体、工具和目标五个关键要素的内容范畴与核心内涵,进而构建涵盖多要素、不同维度的数据治理体系逻辑框架。[结果/结论]该框架以数据流为连接点凸显学科之间的知识交叉融合,统筹各关键要素并指出公共安全数据治理的关键议题包括应用情境搭建、数据资源体系建设、主体决策机制建设以及治理工具选择。 相似文献
17.
《Government Information Quarterly》2022,39(3):101688
Artificial Intelligence (AI) policies and strategies have been designed and adopted in the public sector during the last few years, with Chief Information Officers (CIOs) playing a key role. Using socio-cognitive and institutional approaches on Information Technologies (ITs) in (public) organizations, we consider that the assumptions, expectations, and knowledge (technological frames) of those in charge (CIOs) of designing AI strategies are guiding the future of these emerging systems in the public sector. In this study, we focus on the technological frames of CIOs in the largest Spanish local governments. Based on a survey administered to CIOs leading IT departments, this article presents original data about their technological frames on AI. Our results: (1) provide insights about how CIOs tend to focus on the technological features of AI implementation while often overlook some of the social, political, and ethical challenges in the public sector; (2) expand the theory on AI by enabling the construction of propositions and testable hypotheses for future research in the field. Therefore, the comparative study of technological frames will be key to successfully design and implement AI policies and strategies in the public sector and to tackle future challenges and opportunities. 相似文献
18.
The purpose of this paper is to offer a critical discussion of information system adoption in the public sector (often referred to as e-government) and to contribute to the debate by offering a public value perspective. The paper points to the public value paradigm as an alternative approach to studying ICT-enabled public sector reforms. This paradigm, we argue, proposes an alternative way of framing the nature of the problems faced when ICT enabled public sector reforms are initiated and studied. The public value perspective proposes a new and richer context in which to study and research these phenomena. It also calls for the redefinition of the ways we assess e-government in the context of public sector reforms. It is therefore seen as vital to evaluate the socio-political impact of ICT adoption in the public sector. 相似文献
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《Government Information Quarterly》2000,17(1):43-67
In America’s state houses small yet powerful collections of policy leaders, in the public and private sector, are guiding the initial conception and early implementation of advanced communication networks. This article investigates how the beliefs of leading actors collide to produce two distinctive state networks. Rather than focus exclusively on the simple dichotomous “yes” or “no” decision regarding the adoption or nonadoption of an advanced telecommunications system, like a statewide information highway, this article focuses on the critical role of debate imbedded within that decision. Analysis and presentation of interviews and extensive literature reviews of the development of information highways, in North Carolina and Iowa, provide the setting for the generation of hypotheses suggesting the future trajectory of technology policymaking. While praised for their bold, visionary leadership and innovative system designs, the accounts of network development in these two American states also provide a cautionary tale for other subnational governments and for private sector telecommunications firms interested in the business of building public sector information highways. 相似文献