Artificial intelligence and decision-making in government functions: opportunities, challenges and future research

被引:0
作者
Alshahrani, Albandari [1 ]
Griva, Anastasia [1 ]
Dennehy, Denis [2 ]
Mantymaki, Matti [3 ]
机构
[1] Univ Galway, Galway, Ireland
[2] Swansea Univ, Sch Management, Swansea, Wales
[3] Univ Turku, Informat Syst Sci, Turku, Finland
关键词
AI; Artificial intelligence; Public sector; Decision-making; GOVERNANCE; SYSTEMS;
D O I
10.1108/TG-06-2024-0131
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Purpose - Artificial intelligence (AI) has received much attention due to its promethean-like powers to transform the management and delivery of public sector services. Due to the proliferation of research articles in this context, research to date is fragmented into research streams based on different types of AI technologies or a specific government function of the public sector (e.g. health, education). The purpose of this study is to synthesize this literature, identify challenges and opportunities, and offer a research agenda that guides future inquiry. Design/methodology/approach - This paper aggregates this fragmented body of knowledge by conducting a systematic literature review of AI research in public sector organisations in the Chartered Association of Business Schools (CABS)-ranked journals between 2012 and 2023. Findings - The search strategy resulted in the retrieval of 2,870 papers, of which 61 were identified as primary papers relevant to this research. These primary papers are mapped to the ten classifications of the functions of government as classified by the Organisation for Economic Co-operation and Development (OECD), and the reported challenges and benefits aggregated. Originality/value - This study advances knowledge by providing a state-of-the-art of AI research based the OECD classifications of government functions, reporting of claimed benefits and challenges and providing a research agenda for future research.
引用
收藏
页码:678 / 698
页数:21
相关论文
共 50 条
  • [41] The Role of Artificial Intelligence for The Architectural Plan Design: Automation in Decision-making
    Celik, Tugce
    PROCEEDINGS OF 2023 8TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING TECHNOLOGIES, ICMLT 2023, 2023, : 133 - 138
  • [42] Artificial intelligence - challenges and opportunities for international HRM: a review and research agenda
    Budhwar, Pawan
    Malik, Ashish
    De Silva, M. T. Thedushika
    Thevisuthan, Praveena
    INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT, 2022, 33 (06) : 1065 - 1097
  • [43] Embracing the future-is artificial intelligence already better? A comparative study of artificial intelligence performance in diagnostic accuracy and decision-making
    Fonseca, Angelo
    Ferreira, Axel
    Ribeiro, Luis
    Moreira, Sandra
    Duque, Cristina
    EUROPEAN JOURNAL OF NEUROLOGY, 2024, 31 (04)
  • [44] Can Research Librarians make Contributions to Decision-making as Intelligence Analysts? The Prospects and Challenges
    Chen, Wei
    Chen, Jiangping
    Erdmann, Christopher
    Owens, Trevor
    Jin, Tao
    Phillips, Mark
    JCDL'18: PROCEEDINGS OF THE 18TH ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES, 2018, : 317 - 318
  • [45] Artificial Intelligence on Food Vulnerability: Future Implications within a Framework of Opportunities and Challenges
    Lugo-Morin, Diosey Ramon
    SOCIETIES, 2024, 14 (07):
  • [46] Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
    Dwivedi, Yogesh K.
    Hughes, Laurie
    Ismagilova, Elvira
    Aarts, Gert
    Coombs, Crispin
    Crick, Tom
    Duan, Yanqing
    Dwivedi, Rohita
    Edwards, John
    Eirug, Aled
    Galanos, Vassilis
    Ilavarasan, P. Vigneswara
    Janssen, Marijn
    Jones, Paul
    Kar, Arpan Kumar
    Kizgin, Hatice
    Kronemann, Bianca
    Lal, Banita
    Lucini, Biagio
    Medaglia, Rony
    Le Meunier-FitzHugh, Kenneth
    Le Meunier-FitzHugh, Leslie Caroline
    Misra, Santosh
    Mogaji, Emmanuel
    Sharma, Sujeet Kumar
    Singh, Jang Bahadur
    Raghavan, Vishnupriya
    Raman, Ramakrishnan
    Rana, Nripendra P.
    Samothrakis, Spyridon
    Spencer, Jak
    Tamilmani, Kuttimani
    Tubadji, Annie
    Walton, Paul
    Williams, Michael D.
    INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2021, 57
  • [47] Machine Expertise in the Loop: Artificial Intelligence Decision-Making Inputs and Cyber Conflict
    Whyte, Christopher E.
    2022 14TH INTERNATIONAL CONFERENCE ON CYBER CONFLICT: KEEP MOVING (CYCON), 2022, : 135 - 154
  • [48] Understanding decision-making in recruitment: Opportunities and challenges for information technology
    Koivunen S.
    Olsson T.
    Olshannikova E.
    Lindberg A.
    Proceedings of the ACM on Human-Computer Interaction, 2019, 3 (GROUP):
  • [49] Barriers to adopting automated organisational decision-making through the use of artificial intelligence
    Booyse, Dawid
    Scheepers, Caren Brenda
    MANAGEMENT RESEARCH REVIEW, 2024, 47 (01): : 64 - 85
  • [50] Organizational readiness for artificial intelligence in health care: insights for decision-making and practice
    Alami, Hassane
    Lehoux, Pascale
    Denis, Jean-Louis
    Motulsky, Aude
    Petitgand, Cecile
    Savoldelli, Mathilde
    Rouquet, Ronan
    Gagnon, Marie-Pierre
    Roy, Denis
    Fortin, Jean-Paul
    JOURNAL OF HEALTH ORGANIZATION AND MANAGEMENT, 2021, 35 (01) : 106 - 114