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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.
Atreyi Kankanhalli Yannis Charalabidis Sehl Mellouli 《Government Information Quarterly》2019,36(2):304-309
The Internet of things (IoT) is the network of objects/things that contain electronics, software, sensors, and actuators, which allows these things to connect, interact, and exchange data. The users, sensors, and networks generate huge amounts of data from which governments can develop applications and gain knowledge using Artificial Intelligence (AI) techniques. Thus, IoT and AI can enable the development of valuable services for citizens, businesses, and public agencies, in multiple domains, such as transportation, energy, healthcare, education, and public safety. This guest editorial for the special issue on IoT and AI for Smart Government, identifies the challenges involved in implementing and adopting these technologies in the public sector, and proposes a comprehensive research framework, which includes both IoT and AI elements for smart government transformation. Subsequently, the editorial provides a brief introduction of the six papers in this special issue. Finally, an agenda for future research on IoT and AI for smart government is presented, based on the proposed framework and gaps in existing literature, supported by the papers that were submitted to this special issue. The agenda comprises four directions i.e., conducting domain-specific studies, going beyond adoption studies to examine implementation and evaluation of these technologies, focusing on specific challenges and thus quick wins, and expanding the existing set of research methods and theoretical foundations used. 相似文献
3.
Weslei Gomes de Sousa Elis Regina Pereira de Melo Paulo Henrique De Souza Bermejo Rafael Araújo Sousa Farias Adalmir Oliveira Gomes 《Government Information Quarterly》2019,36(4):101392
To obtain benefits in the provision of public services, managers of public organizations have considerably increased the adoption of artificial intelligence (AI) systems. However, research on AI is still scarce, and the advance of this technology in the public sector, as well as the applications and results of this strategy, need to be systematized. With this goal in mind, this paper examines research related to AI as applied to the public sector. A review of the literature covering articles available in five research databases was completed using the PRISMA protocol for literature reviews. The search process yielded 59 articles within the scope of the study out of a total of 1682 studies. Results show a growing trend of interest in AI in the public sector, with India and the US as the most active countries. General public service, economic affairs, and environmental protection are the functions of government with the most studies related to AI. The Artificial Neural Networks (ANN) technique is the most recurrent in the investigated studies and was pointed out as a technique that provides positive results in several areas of its application. A research framework for AI solutions for the public sector is presented, where it is demonstrated that policies and ethical implications of the use of AI permeate all layers of application of this technology and the solutions can generate value for functions of government. However, for this, a prior debate with society about the use of AI in the public sector is recommended. 相似文献
4.
《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
5.
《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
6.
Smart government is used to characterize activities that creatively invest in emergent technologies coupled with innovative strategies to achieve more agile and resilient government structures and governance infrastructures. However, there is no consensus in terms of what this term includes and how it is related to emergent technologies and innovation in the public sector. This introductory paper provides readers with ways to think about smart government and summarizes findings from twelve articles included in this special issue. These articles, which are the best papers of the 6th International Conference on the Theory and Practice of Electronic Governance (ICEGOV2012), contribute to emerging understanding of being smart in government settings. The articles span a great diversity of related topics such as smart cities, open government, and participation mechanisms. Collectively, the articles provide perspectives on the nature of smart governments and illustrate exemplar practices and initiatives on how governments are opening up and transforming service delivery to become smarter. The special issue in its entirety contributes to understanding governance structures, technical infrastructures, and other requirements geared toward supporting the operations of smarter governments around the world. 相似文献
7.
《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
8.
《Government Information Quarterly》2018,35(2):291-298
Governments need to adapt to changes in their internal and external environments and create systems that allow them to scan trends, identify developments, predict their potential impact on the organization, and quickly learn how to implement changes to their standard operating procedures. As a response, government organizations are adopting agile approaches as part of their process redesigns, project management, and software development approaches. Although agility and adaptiveness are long in use in the private sector, they have been increasingly adopted in the public sector literature and practices. In order to understand the existing theoretical and practical foundations of the field, we have conducted a systematic literature review and identified four streams of research areas: (1) software development approaches, (2) project management approaches, (3) application areas, and (4) potential outcomes. In this article, we synthesize this literature, provide an outlook on future research questions, and introduce several articles as part of the current special issue focused on agile government. 相似文献
9.
《Government Information Quarterly》2023,40(1):101774
Artificial Intelligence (AI) implementation in public administration is gaining momentum heralded by the hope of smart public services that are personalised, lean, and efficient. However, the use of AI in public administration is riddled with ethical tensions of fairness, transparency, privacy, and human rights. We call these AI tensions. The current literature lacks a contextual and processual understanding of AI adoption and diffusion in public administration to be able to explore such tensions. Previous studies have outlined risks, benefits, and challenges with the use of AI in public administration. However, a large gap remains in understanding AI tensions as they relate to public value creation. Through a systematic literature review grounded in public value management and the resource-based view of the firms, we identify technology-organisational-environmental (TOE) contextual variables and absorptive capacity as factors influencing AI adoption as discussed in the literature. To our knowledge, this is the first paper that outlines distinct AI tensions from an AI implementation and diffusion perspective within public administration. We develop a future research agenda for the full AI innovation lifecycle of adoption, implementation, and diffusion. 相似文献
10.
政府大数据治理规则体系构建研究构想 总被引：2，自引：1，他引：1
[目的/意义] 弥补大数据发展应用背景下政府大数据治理规则体系缺失及其研究的不足。[方法/过程] 从大数据认知多维视角出发,分析大数据治理主体、治理客体、治理活动和治理风险4个方面所面临的挑战及其大数据规则制定需求;诊断政府大数据治理规则体系构建研究的阻碍问题及原因。以公共价值理论、数字连续性理论和多元价值理论为主要理论支持,提出政府大数据治理规则体系构建研究的基本框架。[结果/结论] 明晰了政府大数据治理规则体系构建的关键性要素及其关系,对构建政府大数据治理的长效规则体系提供了一种多维视角的研究思路和一个综合集成的研究方案。 相似文献
11.
《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
12.
J. Ignacio Criado Rodrigo Sandoval-Almazan J. Ramon Gil-Garcia 《Government Information Quarterly》2013
Social media in government is becoming one of the major trends in Electronic Government (e-government) research and practice worldwide. During the last few years, several authors have addressed the potential of social media for the innovation of public sector organizations. Most of these contributions have focused on the technical dimensions of social media, while other aspects have not attracted equal attention. In contrast, this introductory article interrogates the role of social media in the basic areas of e-government: government information flows and the availability of government information; the use of information technology to create and provide innovative government services; the impact of information technology on the relationships between the governed and those governing; and the increasing importance of information policies and information technologies for democratic practices. Accordingly, the next few pages propose and develop three dimensions of social media in government: tools, goals, and topics. We think that these dimensions could help to better understand the use of social media in government settings. Then, after a brief review of current trends in social media and government research, we present the articles included in this special issue. Finally, we present some practical lessons and suggest ideas for future research. This special issue could be seen as a starting point for the development of innovation through social media in public administrations around the world. 相似文献
13.
《Government Information Quarterly》2021,38(4):101628
There is a markedly broad range of definitions and illustrative examples of the role played by governments themselves within the literature on government platforms. In response we conduct an inductive and deductive qualitative review of the literature to clarify this landscape and so to develop a typology of six definitions of government platforms, organised within three genres along a spectrum from fully centralised, through to fully decentralised. For each platform definition we offer illustrative ‘mini-cases’ drawn from the UK government experience as well as further insights and implications for each genre, drawn from the broader information systems literature on platforms. A range of benefits, risks, governance challenges, policy recommendations, and suggestions for further research are then identified and discussed. 相似文献
14.
《Government Information Quarterly》2019,36(2):358-367
Driven by ‘success stories’ reported by private sector firms, government agencies have also started adopting various Artificial Intelligence (AI) technologies in diverse domains (e.g. health, taxation, and education); however, extensive research is required in order to exploit the full potential of AI in the public sector, and leverage various AI technologies to address important problems/needs. This paper makes a contribution in this direction: it presents a novel approach, as well as the architecture of an ICT platform supporting it, for the advanced exploitation of a specific AI technology, namely chatbots, in the public sector in order to address a crucial issue: the improvement of communication between government and citizens (which has for long time been problematic). The proposed approach builds on natural language processing, machine learning and data mining technologies, and leverages existing data of various forms (such as documents containing legislation and directives, structured data from government agencies' operational systems, social media data, etc.), in order to develop a new digital channel of communication between citizens and government. Making use of appropriately structured and semantically annotated data, this channel enables ‘richer’ and more expressive interaction of citizens with government in everyday language, facilitating and advancing both information seeking and conducting of transactions. Compared to existing digital channels, the proposed approach is appropriate for a wider range of citizens' interactions, with higher levels of complexity, ambiguity and uncertainty. In close co-operation with three Greek government agencies (the Ministry of Finance, a social security organization, and a big local government organization), this approach has been validated through a series of application scenarios. 相似文献
15.
《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
16.
《Government Information Quarterly》2022,39(1):101625
A key challenge behind the adoption of blockchain in the public sector is understanding the dynamics of blockchain governance. Based on a systematic literature review, this article analyzes different approaches to blockchain governance across disciplines and develops a comprehensive conceptual framework for the study of blockchain governance decisions in the public sector. The framework clusters nine types of governance decisions (infrastructure architecture, application architecture, interoperability, decision-making mechanism, incentive mechanism, consensus mechanism, organization of governance, accountability of governance, and control of governance) into three levels of analysis (micro, meso, and macro-levels). Drawing on public management theories and concepts, the article elucidates the implications of various governance choices in each level of governance and provides a primer for researchers and policy practitioners on the design of blockchain-based systems in the public sector. 相似文献
17.
《Government Information Quarterly》2022,39(4):101679
In today's global culture where the Internet has established itself as the main tool for communication and commerce, the capability to massively analyze and predict citizens' behavior has become a priority for governments in terms of collective intelligence and security. At the same time, in the context of novel possibilities that artificial intelligence (AI) brings to governments in terms of understanding and developing collective behavior analysis, important concerns related to citizens' privacy have emerged. In order to identify the main uses that governments make of AI and to define citizens' concerns about their privacy, in the present study, we undertook a systematic review of the literature, conducted in-depth interviews, and applied data-mining techniques. Based on our results, we classified and discussed the risks to citizens' privacy according to the types of AI strategies used by governments that may affect collective behavior and cause massive behavior modification. Our results revealed 11 uses of AI strategies used by the government to improve their interaction with citizens, organizations in cities, services provided by public institutions or the economy, among other areas. In relation to citizens' privacy when AI is used by governments, we identified 8 topics related to human behavior predictions, intelligence decision making, decision automation, digital surveillance, data privacy law and regulation, and the risk of behavior modification. The paper concludes with a discussion of the development of regulations focused on the ethical design of citizen data collection, where implications for governments are presented aimed at regulating security, ethics, and data privacy. Additionally, we propose a research agenda composed by 16 research questions to be investigated in further research. 相似文献
18.
《Government Information Quarterly》2022,39(1):101652
Calls for public engagement and participation in AI governance align strongly with a public value management approach to public administration. Simultaneously, the prominence of commercial vendors and consultants in AI discourse emphasizes market value and efficiency in a way often associated with the private sector and New Public Management. To understand how this might influence the consolidation of AI governance regimes and decision-making by public administrators, 16 national strategies for AI are subjected to content analysis. References to the public's role and public engagement mechanisms are mapped across national strategies, as is the articulation of values related to professionalism, efficiency, service, engagement, and the private sector. Though engagement rhetoric is common, references to specific engagement mechanisms and activities are rare. Analysis of value relationships highlights congruence of engagement values with professionalism and private sector values, and raises concerns about neoliberal technology frames that normalize AI, obscuring policy complexity and trade-offs. 相似文献
19.
《Government Information Quarterly》2021,38(4):101597
Evidence from literature reveals that good governance practices influence citizens' attitudes and behaviours towards the government. Therefore, grounded on the good governance theory, the current study aimed to empirically examine how good governance practices promote public trust with the underlying mechanism of perceived government response on COVID-19 (PGRC) and moderating role of government agency's provision of quality information on social media (GQS). The data was collected from 491 followers of the Facebook account, Instagram, and Twitter pages of a government news agency, i.e., Associated Press of Pakistan and were analyzed using measurement and structural model by employing SmartPls 3.3.0. The results revealed a direct and indirect association of good governance practices with the public's trust in government via PGRC as mediator. Likewise, results showed that GQS interacts with PGRC and augments public trust in government. This study tried to contribute to the body of knowledge while addressing the gap related to the dearth of literature regarding government use of ICT during the COVID-19 pandemic to harvest benefits from social media while communicating with citizens on a larger scale. Moreover, the current study offers valuable practical and strategical recommendations to agencies and policymakers. 相似文献