IDEAS home Printed from https://ideas.repec.org/a/gam/jfinte/v2y2023i1p10-152d1093492.html
   My bibliography  Save this article

The Use of Artificial Neural Networks in the Public Sector

Author

Listed:
  • Ioannis Kosmas

    (Department of Informatics and Telematics, Harokopio University of Athens, 9 Omirou Street., Tavros, 17778 Athens, Greece)

  • Theofanis Papadopoulos

    (Department of Informatics and Telematics, Harokopio University of Athens, 9 Omirou Street., Tavros, 17778 Athens, Greece)

  • Georgia Dede

    (Department of Informatics and Telematics, Harokopio University of Athens, 9 Omirou Street., Tavros, 17778 Athens, Greece)

  • Christos Michalakelis

    (Department of Informatics and Telematics, Harokopio University of Athens, 9 Omirou Street., Tavros, 17778 Athens, Greece)

Abstract

Artificial intelligence (AI) is an extensive scientific field, part of which is the concept of deep learning, belonging to broader family of machine learning (ML) methods, based on artificial neural networks (ANNs). ANNs are active since the 1940s and are applied in many fields. There have been actions around the world for the digital transformation of the public sector and the use of new innovative technologies, but the trajectory and degree of adoption of artificial intelligence technologies in the public sector have been unsatisfactory. Similar issues must be handled, and these problems must be classified. In the present work, preparatory searches were made on Scopus and IEEE bibliographic databases in order to obtain information for the progress of the adoption of ANNs in the public sector starting from the year 2019. Then, a systematic review of published scientific articles was conducted using keywords. Among the 2412 results returned by the search and the application of the selection/rejection criteria, 10 articles were chosen for analysis. The conclusion that emerged after reading the articles was that while the scientific community has a lot of suggestions and ideas for the implementation of ANNs and their financial effects, in practice, there is no appropriate use of them in the public sector. Occasionally, there are cases of implementation funded by state or non-state bodies without a systematic application and utilization of these technologies. The ways and methods of practical application are not further specified, so there are no indications for the systematic application of specialized deep learning techniques and ANNs. The legal framework for the development of artificial intelligence applications, at least in the European Union (EU), is under design, like the necessary ISO standards from an international perspective, and the economic impact of the most recent AI-based technologies has not been fully assessed.

Suggested Citation

  • Ioannis Kosmas & Theofanis Papadopoulos & Georgia Dede & Christos Michalakelis, 2023. "The Use of Artificial Neural Networks in the Public Sector," FinTech, MDPI, vol. 2(1), pages 1-15, March.
    • Handle: RePEc:gam:jfinte:v:2:y:2023:i:1:p:10-152:d:1093492
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2674-1032/2/1/10/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2674-1032/2/1/10/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Snyder, Hannah, 2019. "Literature review as a research methodology: An overview and guidelines," Journal of Business Research, Elsevier, vol. 104(C), pages 333-339.
    2. Haoying Wang & Yunfeng Hu & Li Tang & Qi Zhuo, 2020. "Distribution of Urban Blue and Green Space in Beijing and Its Influence Factors," Sustainability, MDPI, vol. 12(6), pages 1-20, March.
    3. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    4. Gianluca MISURACA & Colin van Noordt, 2020. "AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU," JRC Research Reports JRC120399, Joint Research Centre.
    5. Fatima, Samar & Desouza, Kevin C. & Dawson, Gregory S., 2020. "National strategic artificial intelligence plans: A multi-dimensional analysis," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 178-194.
    6. Denis Stukal & Sergey Sanovich & Joshua A. Tucker & Richard Bonneau, 2019. "For Whom the Bot Tolls: A Neural Networks Approach to Measuring Political Orientation of Twitter Bots in Russia," SAGE Open, , vol. 9(2), pages 21582440198, April.
    7. Koffi Dumor & Li Yao, 2019. "Estimating China’s Trade with Its Partner Countries within the Belt and Road Initiative Using Neural Network Analysis," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
    8. Yueling Xu & Wenyu Zhang & Haijun Bao & Shuai Zhang & Ying Xiang, 2019. "A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    9. Guanghui Yuan & Weixin Yang, 2019. "Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 11(3), pages 1-21, February.
    10. Alkinoos Psarras & Theodoros Anagnostopoulos & Ioannis Salmon & Yannis Psaromiligkos & Lazaros Vryzidis, 2022. "A Change Management Approach with the Support of the Balanced Scorecard and the Utilization of Artificial Neural Networks," Administrative Sciences, MDPI, vol. 12(2), pages 1-15, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tathiana M. Barchi & João Lucas Ferreira dos Santos & Priscilla Bassetto & Henrique Nazário Rocha & Sergio L. Stevan & Fernanda Cristina Correa & Yslene Rocha Kachba & Hugo Valadares Siqueira, 2024. "Comparative Analysis of Linear Models and Artificial Neural Networks for Sugar Price Prediction," FinTech, MDPI, vol. 3(1), pages 1-20, March.
    2. Ionut Marius Croitoru & Paula-Paraschiva Dragan (SPIRIDON) & Nicoleta Daniela Ignat & Romanita Jumanca, 2025. "Exploring Financial Literacy in Higher Education with the Help of FinTech: A Bibliometric Analysis of Linkages to Access, Behavior, and Well-Being Through Digital Innovation," FinTech, MDPI, vol. 4(1), pages 1-17, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maryono, Maryono & Killoes, Aditya Marendra & Adhikari, Rajendra & Abdul Aziz, Ammar, 2024. "Agriculture development through multi-stakeholder partnerships in developing countries: A systematic literature review," Agricultural Systems, Elsevier, vol. 213(C).
    2. Pomerlyan, Evgeniya & Belitski, Maksim, 2023. "Integration - Growth relationship: A literature review and future research agenda using a TCCM approach," European Management Journal, Elsevier, vol. 41(6), pages 1106-1118.
    3. Kusha Sharma & Dr. Madhuri Hooda, 2023. "The New Elective of National Cadet Corps (NCC): A Review of Literature," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(7), pages 384-396, July.
    4. Shuchi Pahuja & Anita Agrawal, 2023. "Board Attributes and Corporate Social Responsibility: A Systematic Literature Review and Future Research Perspectives," Indian Journal of Corporate Governance, , vol. 16(1), pages 108-138, June.
    5. Uchendu Eugene Chigbu & Sulaiman Olusegun Atiku & Cherley C. Du Plessis, 2023. "The Science of Literature Reviews: Searching, Identifying, Selecting, and Synthesising," Publications, MDPI, vol. 11(1), pages 1-16, January.
    6. Appiah, Emmanuel Kusi & Gabrielsson, Peter & Rialp Criado, Alex, 2025. "The role of digitalization in early internationalization Research: A systematic literature review and future research directions," Journal of Business Research, Elsevier, vol. 186(C).
    7. Hosany, A. R. Shaheen & Hosany, Sameer & He, Hongwei, 2022. "Children sustainable behaviour: A review and research agenda," Journal of Business Research, Elsevier, vol. 147(C), pages 236-257.
    8. Lenart-Gansiniec Regina, 2022. "The dilemmas of systematic literature review: the context of crowdsourcing in science," International Journal of Contemporary Management, Sciendo, vol. 58(1), pages 11-21, March.
    9. Lars Fuglsang & Anne Vorre Hansen & Ines Mergel & Maria Taivalsaari Røhnebæk, 2021. "Living Labs for Public Sector Innovation: An Integrative Literature Review," Administrative Sciences, MDPI, vol. 11(2), pages 1-19, June.
    10. Jianbo Han & Edwin H. W. Chan & Esther H. K. Yung & Queena K. Qian & Patrick T. I. Lam, 2022. "A Policy Framework for Producing Age-Friendly Communities from the Perspective of Production of Space," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    11. Vespestad, May Kristin & Clancy, Anne, 2021. "Exploring the use of content analysis methodology in consumer research," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    12. Beatriz Ferreira & Carla Curado & Mírian Oliveira, 2022. "The Contribution of Knowledge Management to Human Resource Development: a Systematic and Integrative Literature Review," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2319-2347, September.
    13. Amna Farrukh & Sanjay Mathrani & Aymen Sajjad, 2022. "A Systematic Literature Review on Environmental Sustainability Issues of Flexible Packaging: Potential Pathways for Academic Research and Managerial Practice," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
    14. K. Pooja & Pallavi Upadhyaya, 2024. "What makes an online review credible? A systematic review of the literature and future research directions," Management Review Quarterly, Springer, vol. 74(2), pages 627-659, June.
    15. Elena Francke, Anna & Carrete, Lorena, 2023. "Consumer self-regulation: Looking back to look forward. A systematic literature review," Journal of Business Research, Elsevier, vol. 157(C).
    16. Tsiotsou, Rodoula H. & Boukis, Achilleas, 2022. "In-home service consumption: A systematic review, integrative framework and future research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 49-64.
    17. Seuk Yen Phoong & Shi Ling Khek & Seuk Wai Phoong, 2022. "The Bibliometric Analysis on Finite Mixture Model," SAGE Open, , vol. 12(2), pages 21582440221, May.
    18. Baliga, Ashwin J. & Goel, Ashish & Fletcher-Chen, Chavi C.-Y. & Guda, Sridhar & Kumar, Rajesh, 2025. "Mental health among B2B salespeople: A morphological analysis," Journal of Business Research, Elsevier, vol. 188(C).
    19. Kavita Karan Ingale & Ratna Achuta Paluri, 2025. "Retirement planning – a systematic review of literature and future research directions," Management Review Quarterly, Springer, vol. 75(1), pages 1-43, February.
    20. Ehab Shahat & Chang T. Hyun & Chunho Yeom, 2021. "City Digital Twin Potentials: A Review and Research Agenda," Sustainability, MDPI, vol. 13(6), pages 1-20, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jfinte:v:2:y:2023:i:1:p:10-152:d:1093492. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.