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1.
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   

2.
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   

3.
Public organizations often face numerous barriers when it comes to adopting and using social media to communicate and engage with the broader public. This research aims to better understand how barriers to social media adoption can be tackled by zooming in on one specific type of organization: the police. Our research answers the following question: to what effect do police forces manage barriers to the adoption of social media with social media policies? Firstly, by systematically reviewing previous studies using a typology of barriers to ICT adoption, this study identifies the types of barriers that the police are often faced with. Secondly, by qualitatively analyzing two frontrunner cases, the United Kingdom and the Netherlands, this study analyzes how social media policies address and can help overcome these barriers. The empirical analysis indicates that in addressing barriers to social media adoption, a combination of exploration and exploitation is needed to address both structural and cultural barriers to social media adoption. We argue that this fits an approach of the ‘perpetual beta’: ongoing technological innovation requires organization capacity to continuously adapt to socio-technical change.  相似文献   

4.
This study proposes a new typological framework for classifying smart city services. Intentionally focused on citizen-centricity, away from bureaucratic perspectives that most typologies have taken, this typology is derived from marketing and service science literature. The proposed typology consists of four dimensions: mode of technology (automate–informative–transformative), purpose of service (hedonic–utilitarian), service authority (voluntary–mandatory), and delivery mode (passive–interactive). This typological framework is validated with a qualitative exercise of classifying inventories of actual smart city services in practice into the framework. Exercise results revealed that the categories provided are mutually exclusive and comprehensively exhaustive in general, and useful in further conceptualization of new services by identifying gaps in reality. In practice, this typology would be useful in positioning specific smart city service under development in terms of citizen-centricity. Urban planners and administrators may use this framework in understanding the pattern of their service development. Also, this framework may provide a useful guideline for service designer pinpointing the design characteristics of old and new smart city services from the perspective of users and customers of city services: citizens.  相似文献   

5.
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   

6.
The institutionalisation of Smart City Functions (SCF) within local authorities creates significant IT Governance (ITG) challenges, including the need to foster a triadic alignment between the overall organization, the IT function and the SCF. Building on existing literature on ITG, smart cities, and the emerging conversation on Adaptive Governance in the public sector, the following exploratory question has been formulated for this study: How are ITG structural mechanisms implemented in city authorities to oversee and govern smart cities? To address this question, a qualitative multiple case study was carried out across three city authorities in Ireland characterised by diversity in their ITG structural arrangements to govern portfolios of smart city initiatives. From this analysis three types of ITG structural implementation are proposed named: Detached, Integrated, and Traditional. These are compared and discussed in relation to: (1) orientation of each approach; (2) decision-making authority; (3) alignment with the IT function and the overall municipal organization; and (4) the challenge perceived by the SCFs under each ITG arrangement. This research contributes to the academic conversation on adaptive governance, smart cities as well as to the broader ongoing debate on ITG in the public sector.  相似文献   

7.
With the recent increase in urban population worldwide, and the emergence of big data analytics, there is a growing interest in research on how cities are actively reconstructing themselves into a smart and sustainable city. Research studies have shown that the smart city system primarily focuses on integrating three components: economic, environmental, and social. The social component includes participatory democracy with citizen engagement. In many cases, smart cities focus on discovering answers for various urban problems through the adoption of Information Communication Technologies (ICTs) designed to collect citizen feedback, or provide knowledge resources that can improve the quality of urban life. However, there are very few studies that attempt to close the information loop and link problems to solutions in one, unified framework. The purpose of this study is to demonstrate such a unified approach. Using the theoretical lens of dynamic capabilities, we expand the definition of a smart city to include the notion of an urban organization with dynamic capabilities, which operates within cycles of ‘sense’, ‘seize’, ‘align’, and ‘transform’ functions. Our case study focuses on the ‘sense’ and ‘seize’ steps, describing a medium-size city in Texas, where an open-ended survey is used as a collection instrument for citizen input and concept-based analytics are employed to convert such input into actionable insights. Our approach has the potential to assist policy makers in designing a comprehensive strategy toward the goal of the smart city.  相似文献   

8.
[目的/意义]在复杂和动态的智慧城市形态下,面对多元化、多层次、多维度的信息安全风险,提出整体性的城市信息安全管理模式,对智慧城市的健康有序发展具有重要意义。[方法/过程]通过文献资料收集和案例分析,从顶层视角出发认识智慧城市信息安全管理环境,理解智慧城市信息安全管理挑战,建立新的智慧城市信息安全管理模式,使信息安全管理平台得以在多样化的智慧城市环境域中协同工作并发挥效用。[结果/结论]传统的面向特定组织和主题的信息安全管理存在诸多风险,智慧城市需要从整体性出发考虑和解决信息安全问题,智慧城市应形成超越个体和组织,以城市为总体背景的信息安全管理模式。  相似文献   

9.
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   

10.
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   

11.
胡漠  马捷  李璐 《图书情报工作》2019,63(15):23-32
[目的/意义]探析智慧城市多元主体信息链的协同效应作用机理,有助于智慧城市管理者获悉提升智慧城市多元主体信息链协同效应的关键因素,从而在多元主体信息链协同服务层面提升智慧城市的智慧水平,为民众提供更加优质的智慧服务。[方法/过程]在识别与分析我国智慧城市多元主体信息链的信息主体、信息、信息环境基础上,围绕主体协同、信息协同与机制协同3个维度提出6个关于智慧城市多元主体信息链协同效应作用机理的研究假设,通过问卷调查获取456组有效数据,并采用结构方程模型对提出的研究假设进行检验。[结果/结论]检验结果表明,机制协同与信息协同直接作用于智慧城市多元主体信息链协同效应;主体协同通过机制协同与信息协同间接作用于智慧城市多元主体信息链协同效应。根据检验结果,提出5个具有针对性的提升智慧城市多元主体信息链协同效应的具体策略,为智慧城市多元主体信息链协同效应作用机理研究与实践提供有益参考。  相似文献   

12.
[目的/意义]旨在探索我国智慧城市APP发展现状及存在的问题,对改善智慧城市服务、推动智慧城市技术方案落地、提升智慧城市APP用户体验具有重要借鉴意义和实践指导价值。[方法/过程]收集全国140个城市333个智慧APP的相关数据,结合定量与定性研究方法进行分析。首先,利用SPSS统计分析APP的区域分布及评分;其次,结合内容分析法对APP的功能描述及15 754条用户评论进行定性分析,归纳APP的类别栏目及用户反馈;最后,结合现状讨论智慧城市APP的未来发展路径。[结果/结论]梳理我国智慧城市APP的区域分布、类型功能、评分及用户评论。当前,我国智慧城市APP分布存在显著的区域差异,按照功能可划分为智慧交通、智慧医疗、智慧生活三大类,整体评分不高,存在技术缺陷、服务质量差、信息不准确、无法满足用户需求等6大问题。  相似文献   

13.
Cities are becoming smarter and smarter. While the rapid progress in smart city technologies is changing cities and the lifestyle of the people, it creates also huge attack surfaces for potential cyber attacks. The potential vulnerabilities of smart city products and imminent attacks on smart city infrastructure and services will have significant consequences that can cause substantial economic and noneconomic losses, even chaos, to the cities and the people. In this paper we study alternative economic solutions ranging from incentive mechanisms to market-based solutions to motivate governments, smart product vendors, and vulnerability researchers and finders to improve the cybersecurity of smart cities and e-government. These solutions can be integrated into policy instruments in defending smart cities and e-governments against cyber attacks.  相似文献   

14.
Smart cities are expected to improve the efficiency and effectiveness of urban management, including public services, public security, and environmental protection, and to ultimately achieve Sustainable Development Goal (SDG) 11 for making cities inclusive, safe, resilient, and sustainable. Big data have been identified as a key enabler in the development of smart cities. However, our understanding of how different data sources should be managed and integrated remains limited. By analyzing data applications in the development of a sustainable smart city, this case study identified three phases of development, each requiring a different approach to orchestrating diverse data sources. A framework identifying the phases, data-related issues, data orchestration and its interaction with other resources, focal capabilities, and development approaches is developed. This study benefits both researchers and practitioners by making theoretical contributions and by offering practical insights in the fields of smart cities and big data.  相似文献   

15.
智慧城市是实现城市可持续发展的一种途径。基于信息技术对城市空间组织及其功能的形塑,揭示智慧城市建设的分层次技术体系及其多元应用维度;剖析信息安全的演化历程与多重内涵,确定城市信息安全的多维构面;讨论智慧城市对信息基础设施、社会环境的优化及其对信息安全的强化效应;从城市信息基础设施的脆弱性等4个方面,指出智慧城市建设引发的对信息安全的潜在冲击;提出保障智慧城市信息安全的新策略。  相似文献   

16.
为破解智慧城市分行业垂直构建信息系统带来的信息资源分散整合的难题,本文提出一个新的解决方案, 即运用“分层构建、横向整合、模型聚合、平行演进”的机制,模仿智慧生命体的层次架构对智慧城市进行层次化的建 模设计,使得在现实城市中纵向分布的信息资源,在信息系统的虚拟城市模型中得到横向的大整合,发掘出一项在云 计算和大数据的环境下,可对垂直构建的信息系统进行具有兼容性、诱导性和可演进性的整体架构设计的新技术  相似文献   

17.
智慧城市的建设推动了智慧档案馆的发展,我国已有不少城市开始了智慧档案馆的先行探索。本文对智慧档案馆的内涵、概念与特征、技术方法等方面进行总结,并以档案管理环节为基础对实践层面进行梳理,以期为今后的理论研究和实践建设提供参考。  相似文献   

18.
With increasing ubiquity of artificial intelligence (AI) in modern societies, individual countries and the international community are working hard to create an innovation-friendly, yet safe, regulatory environment. Adequate regulation is key to maximize the benefits and minimize the risks stemming from AI technologies. Developing regulatory frameworks is, however, challenging due to AI's global reach, agency problems present in regulation, and the existence of widespread misconceptions about the very notion of regulation. This paper makes three claims: (1) Based on interdisciplinary insights, we show that AI-related challenges cannot be tackled effectively without sincere international coordination supported by robust, consistent domestic, regional, and international governance arrangements. (2) Against this backdrop, we propose the establishment of an international AI governance framework to spearhead initiatives to create a consistent, global enabling regulatory environment, which is necessary for the successful and responsible adoption of AI technologies. To facilitate the practical implementation of our recommendation, we provide a simplified impact assessment on regulatory architecture and governance design options, appropriate to the scope of the paper. (3) We draw attention to communication challenges, which we believe are underestimated barriers hindering contemporary efforts to develop AI regulatory regimes. We argue that a fundamental change of mindset regarding the nature of regulation is necessary to remove these, and put forward some recommendations on how to achieve this.  相似文献   

19.
When a disaster occurs, government agencies are responsible for managing the response and recovery efforts of the impacted communities and infrastructure. Crowdsourcing and social media are widely used in disaster response, yet their primary implementation and application are often via non-governmental agencies and private citizens. A review of the literature suggests that government emergency management agencies in Canada have made little documented progress in adopting crowdsourcing or social media for emergency management. Most of the literature around crowdsourcing and social media for emergency management focus on its use or role outside of Canada (e.g. the USA, Australia, etc.). In order for government agencies in Canada to progress, it is important to identify the Canada-specific barriers and constraints. This study offers a new perspective from Canadian government emergency management agencies to address this gap. Through a series of semi-structured interviews with 15 government officials from 14 agencies, this study identifies the primary challenges and constraints faced by Canadian agencies looking to adopt crisis crowdsourcing. Results indicate that organizational factors, policies, and federal legislation in Canada present barriers to crisis crowdsourcing (including crowdsourcing through social media) adoption within agencies at various levels of government. Based on these results, recommendations are made to support the adoption of crisis crowdsourcing amongst Canadian government agencies.  相似文献   

20.
This study examines the perceived impacts of electronic government or e-government adoption on U.S. cities. This research conducted a survey of Texas and Florida city managers in the fall of 2005 to find out their opinions on the impact of e-government on their city government. The results indicated that e-government is having a positive impact on management, stakeholder involvement, needs and collaboration, and procurement in American cities. There are, however, concerns over spam or unsolicited e-mail and the ability of e-government to reduce the level of staffing. The results of this study imply that, according to city managers' perceptions, e-government adoption in American city governments is positively viewed as having an impact on their organizations and communities.  相似文献   

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