共查询到20条相似文献，搜索用时 31 毫秒
1.
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
2.
《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
3.
《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
4.
《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
5.
《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
6.
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
7.
Jane Fedorowicz Steve Sawyer Christine B. Williams M. Lynne Markus Martin Dias Michael Tyworth Sonia Gantman Dax Jacobson Arthur P. Tomasino Robert Schrier 《Government Information Quarterly》2014
We present 14 design observations for public safety networks (PSNs) and describe how they may apply more broadly to a wider range of inter-organizational systems within the public sector. A PSN is an interagency collaboration focused on developing and using information systems in support of information sharing and functional interoperability among public safety organizations engaged in law enforcement, criminal justice, and emergency response. We base our design observations upon an analysis of an extensive survey of 80 PSNs plus 6 in-depth case studies. The design observations identify commonalities that can guide agencies participating in interagency collaborations in addressing the interlocking issues they face. Our goal in presenting this set of design observations is to: (1) encourage improved PSN systems design and (2) draw attention to the importance of jointly addressing governance and technological considerations when designing PSNs. 相似文献
8.
Enabling AI capabilities in government agencies: A study of determinants for European municipalities
《Government Information Quarterly》2022,39(4):101596
Artificial Intelligence (AI) is gradually becoming an integral part of the digital strategy of organizations. Yet, the use of AI in public organizations in still lagging significantly compared to private organizations. Prior literature looking into aspects that facilitate adoption and use of AI has concentrated on challenges concerning technical aspects of AI technologies, providing little insight regarding the organizational deployment of AI, particularly in public organizations. Building on this gap, this study seeks to examine what aspects enable public organizations to develop AI capabilities. To answer this question, we built an integrated and extended model from the Technology-Organization-Environment framework (TOE) and asked high-level technology managers from municipalities in Europe about factors that influence their development of AI capabilities. We collected data from 91 municipalities from three European countries (i.e., Germany, Norway, and Finland) and analyzed responses by means of structural equation modeling. Our findings indicate that five factors – i.e. perceived financial costs, organizational innovativeness, perceived governmental pressure, government incentives, regulatory support – have an impact on the development of AI capabilities. We also find that perceived citizen pressure and perceived value of AI solutions are not important determinants of AI capability formation. Our findings bear the potential to stimulate a more reflected adoption of AI supporting managers in public organizations to develop AI capabilities. 相似文献
9.
10.
《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
11.
《Government Information Quarterly》2023,40(3):101828
A growing body of literature shows that despite the significant benefits of artificial intelligence (AI), its adoption has many unknowns and challenges. However, theoretical studies dominate this topic. Completing the recent works, this article aims to identify challenges faced by public organizations when adopting AI based on the PRISMA Framework and an empirical assessment of these challenges in the opinion of public managers using survey research. The adopted research procedure is also an added value because it could be replicated in other context scenarios. To achieve this paper's aim, the Systematic Literature Review (SLR) and survey research among authorities in 414 Polish cities were carried out. As a result, a list of 15 challenges and preventive activities proposed by researchers to prevent these challenges have been identified. Empirical verification of identified challenges allows us to determine which of them limit AI adoption to the greatest extent in public managers' opinion. These include a lack of strategy or plans to initial adoption / continued usage of AI; no ensuring that AI is used in line with human values; employees' insufficient knowledge of how to use AI; insufficient AI policies, laws, and regulations; and different expectations of stakeholders and partners about AI. These findings could help practitioners to prioritize AI adoption activities and add value to digital government theory. 相似文献
12.
在决策过程中,解决信息不完备的问题是情报工作的核心要义,通过情报基础建设来为情报任务响应做好准备,实现情报事业的可持续发展,是情报学术不可忽视的研究议题。本文基于前期相关研究对情报响应的基础条件内涵及其内容进行了基本界定,运用生态理念梳理了情报响应的基础业务系统机理,并对中美两国进行情报响应的环境要素条件和主体要素条件进行了比较分析,提出了实现我国情报响应持续发展的基础条件要求,具体包括:加强对科技信息资源建设以及跨领域信息资源的建设;创建具有中国特色的情报教育发展体系,打造情报人才多样化发展的情报教育培养模式;完善情报机构的管理与评价模式,实现情报基础条件对情报任务响应的持续支持。 相似文献
13.
Local governments are increasingly establishing functional decentralized agencies, such as autonomous organizations, public companies, foundations and public business entities to provide public services. Furthermore, they are also introducing the private sector, contracting out public services to a private company and creating mixed companies. Our aim is to analyze the effect of functional decentralization and externalization (outsourcing or contracting out) processes on public transparency levels, since theoretically, they are aimed toward good governance and accountability. To do so, we use a sample composed of the 110 largest Spanish cities for the period 2008–2010. The results show that decentralized agencies, especially public companies and foundations, impact positively on levels of public transparency. However, there is no evidence that suggests that the introduction of the private sector, using outsourcing and mixed companies, affects the transparency of local governments. 相似文献
14.
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
15.
Jordan W. Smith William S. Slocumb Charlynne Smith Jason Matney 《Journal of Map & Geography Libraries》2015,11(2):226-244
Many federal agencies face challenges with designing geospatial data management systems. This paper presents and documents a needs-assessment process that can be employed to prioritize agencies’ geospatial information needs; identify agencies’ capacity to manage a centralized geodatabase; determine agencies’ capacity to deliver Web-mapping services to the public; and identify barriers, such as data security and limited financial resources, that constrain agencies’ ability to design and manage a geospatial data management system. The paper details the needs-assessment process and documents its application to the National Park Service (NPS) Conservation and Outdoor Recreation (COR) Branch programs. The NPS COR Branch is comprised of nine disparate programs, such as the National Trails System and the Rivers, Trails, and Conservation Assistance program, each of which has specific geospatial data management and delivery needs. The needs-assessment process, tested through its application to the NPS COR Branch programs, provides a comprehensive and logical workflow for system developers and administrators to use as they create or refine geospatial data management systems. 相似文献
16.
《Government Information Quarterly》2022,39(4):101621
Governments are increasingly employing artificial intelligence (AI) enabled services though this is still a relatively new concept that is in nascent stages of implementation. Despite growing emphasis by governments on employing AI-enabled services, many citizens are skeptical of their benefits; this makes an analysis of AI-enabled services an important area of research, especially from the perspective of citizens. This paper employs IT assimilation theory and public value theory to develop a theoretical model that examines whether the introduction of AI-enabled services would generate public value for citizens in India. The model employs the Partial Least Square-Structural Equation Modeling (PLS-SEM) technique to examine how risk factors impact the uptake of AI-enabled services in India. Based on 315 interviews conducted in India, the study highlights that the breadth and depth assimilation of AI-enabled services positively impacts and enhances the satisfaction of citizens, which in turn generates public value. 相似文献
17.
价值体系研究视角变迁下的公共图书馆价值 总被引：1，自引：1，他引：0
本文梳理了1984年“杭州会议”以来学界关于图书馆价值的研究历程,认为公共图书馆价值研究经历了初探、反思和拓展三个时期。在初探时期,主要以市场经济冲击下的社会价值辨析与计算机技术冲击下的生存价值争论为主;在反思时期,实现了从单一的价值研究向核心价值导向下的价值研究的转变;在拓展时期,制度保障价值、信息中心价值、经济促进价值、空间拓展价值和文化象征价值逐步彰显和确立,成为公共图书馆价值的集中体现。21世纪以来,图书馆发展的实践检验了这五种公共图书馆价值,印证了公共图书馆价值的理论研究。表2。参考文献43。 相似文献
18.
知识管理作为新兴的管理模式在商业活动中被广泛应用,将知识管理应用于档案记忆再生产中有利于科学系统地获取、组织、存储、共享档案记忆,挖掘档案记忆的知识价值,为知识创新提供资源的土壤,为档案记忆的传承与发展带来新视角。文章首先从档案、记忆、知识的关系,知识管理理论与档案记忆理论的研究路线的相似性,知识管理理论为档案记忆再生产提供方法论指导三个方面对知识管理理论在档案记忆再生产中应用的适用性进行分析。然后勾勒出基于知识管理的档案记忆再生产架构,提炼出三条应用方式:以档案部门为主体的记忆重构,以公众为客体的记忆生成,档案部门与公众相互作用的记忆升华。 相似文献
19.
E-Government literature has discussed how the adoption of the Government as a Platform (GaaP) can help public administration to produce more efficient public services. However, since little attention has been given to the impact of GaaP on public value creation more research is needed to analyse whether the GaaP is effective to help the government to deliver public services that fulfil social expectations and, hence, public value. Indeed, efficiency does not guarantee public value. Besides efficiency, public value incorporates citizens' variegated expectations and needs that change over time and that are sometimes rival. For these reasons, the delivery of public value is often challenging for public agencies. The aim of this paper is to explain how the GaaP configuration can help public administration to deliver public value better. The paper finds that the modularity of the platform configuration and different ecosystems that support public agencies need to be orchestrated to support the effective creation of public value. The authors analyse the case of the Italian GaaP initiative to discuss the importance of the orchestration of the GaaP characteristics to improve the coordination among public agencies and enable the co-production of services with external actors, in order to deliver public value better. The findings show that the orchestration of the GaaP configuration characteristics can enable Italian public administration to deliver public value, but also that, if the GaaP is not properly orchestrated, it can constrain the creation of public value. 相似文献
20.
The effects of e-Government cloud assimilation on public value creation: An empirical study of China
《Government Information Quarterly》2019,36(4):101397
Cloud computing applications have entered the stage of popularization and wide adoption as part of e-Government. Improving the implementation and assimilation of e-Government cloud applications (e-Gov cloud) to create public value has become an important issue. Based on theories of information technology (IT) assimilation, IT value, and organizational ambidexterity, this study develops a model of e-Gov cloud assimilation and explores the individual and joint effects of the depth and breadth dimensions of e-Gov cloud assimilation on public value. The model was tested with partial least squares structural equation modeling (PLS-SEM) using a survey of local government agencies in China. The empirical results show that the two dimensions of e-Gov cloud assimilation - depth and breadth - have significantly positive effects: (1) directly on operational public value and (2) indirectly on strategic public value through operational public value. Moreover, the complementary fit strategy of the depth and breadth of e-Gov cloud has a significantly positive effect on strategic public value, while the balanced fit strategy has no significant effect. These findings contribute to both academic research and practical implications, advancing our understandings of e-Government cloud assimilation on public value creation. 相似文献