IDEAS home Printed from https://ideas.repec.org/a/spr/futbus/v11y2025i1d10.1186_s43093-025-00515-9.html
   My bibliography  Save this article

Mapping the impacts of neural networks on human resource management research: a bibliometric analysis

Author

Listed:
  • Md. Nazmus Sakib

    (University of Dhaka)

  • Mohammad Abdul Jabber

    (University of Dhaka)

  • Mohammad Younus

    (University of Dhaka)

  • Mst. Mafruha Bithee

    (University of Dhaka)

  • Md. Manir Sannyamat

    (Nuclear Power Plant Company Bangladesh Ltd)

  • Adri Saha

    (University of Dhaka)

  • Anuvab Guha

    (University of Dhaka)

Abstract

Neural network has emerged as a transformative force reshaping various domains in response to the rapidly evolving technological landscape. This study aims to address the literature gap, delving into the current state of development, identifying key contributors, influential countries, and journals, and understanding publication trends. This bibliometrics literature review analysis comprehensively explores the cooperation between neural networks and human resource management (HRM). Through a bibliometric examination of 86 relevant articles from the Scopus database, this study employs bibliometric methodologies, network analysis, and content analysis to reveal research clusters and knowledge gaps though the use of R studio, Vosviewer, biblioshiney. The findings of this bibliometric analysis suggest that neural networks are a vital concept for HRM in recent years, with a large number of articles produced in the last 5 years, totaling 62 articles. This topic is a global concern, as contributions have come from countries across Europe, America, Asia, and Africa. The citation impact analysis and country collaboration analysis highlight the significant role played by Chinese and Indian researchers and institutions in advancing this research area. Thematic evaluation over time reveals the evolution of research themes, shifting from convolutional neural networks and forecasting to machine learning and artificial intelligence in the field of HRM. By bridging the gap between theory and practice, this research contributes to advancing HRM scholarship and facilitating the adoption of innovative HRM practices in organizations worldwide. These findings underscore the dynamic nature of the neural networks and HRM field and its potential for further scientific enrichment.

Suggested Citation

  • Md. Nazmus Sakib & Mohammad Abdul Jabber & Mohammad Younus & Mst. Mafruha Bithee & Md. Manir Sannyamat & Adri Saha & Anuvab Guha, 2025. "Mapping the impacts of neural networks on human resource management research: a bibliometric analysis," Future Business Journal, Springer, vol. 11(1), pages 1-22, December.
  • Handle: RePEc:spr:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00515-9
    DOI: 10.1186/s43093-025-00515-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s43093-025-00515-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1186/s43093-025-00515-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Neelam Kaushal & Rahul Pratap Singh Kaurav & Brijesh Sivathanu & Neeraj Kaushik, 2023. "Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 73(2), pages 455-493, June.
    2. Vivek Kumar Singh & Prashasti Singh & Mousumi Karmakar & Jacqueline Leta & Philipp Mayr, 2021. "The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5113-5142, June.
    3. Zha, Dongmei & Marvi, Reza & Foroudi, Pantea, 2023. "Synthesizing the customer experience concept: A multimodularity approach," Journal of Business Research, Elsevier, vol. 167(C).
    4. Stavrou, Eleni T. & Charalambous, Christakis & Spiliotis, Stelios, 2007. "Human resource management and performance: A neural network analysis," European Journal of Operational Research, Elsevier, vol. 181(1), pages 453-467, August.
    5. Manoj Kumar Kamila & Sahil Singh Jasrotia, 2023. "Ethical issues in the development of artificial intelligence: recognizing the risks," International Journal of Ethics and Systems, Emerald Group Publishing Limited, vol. 41(1), pages 45-63, July.
    6. Neelam Kaushal & Suman Ghalawat, 2023. "Research perspective of artificial intelligence and HRM: a bibliometric study," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 31(2), pages 168-196.
    7. Fotis Kitsios & Maria Kamariotou, 2021. "Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    8. Zhang, Xinyuan & Xie, Qing & Song, Min, 2021. "Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network," Journal of Informetrics, Elsevier, vol. 15(2).
    9. Shuo Zhu & Yan Liu & Miaochao Chen, 2022. "Analysis of Human Resource Allocation Model for Tourism Industry Based on Improved BP Neural Network," Journal of Mathematics, Hindawi, vol. 2022, pages 1-10, January.
    10. Shrestha, Yash Raj & Krishna, Vaibhav & von Krogh, Georg, 2021. "Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges," Journal of Business Research, Elsevier, vol. 123(C), pages 588-603.
    11. Agnieszka Karman, 2019. "The role of human resource flexibility and agility in achieving sustainable competitiveness," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 11(4), pages 324-346.
    12. Mohammad Sahabuddin & Md. Nazmus Sakib & Md. Mahbubur Rahman & Adamu Jibir & Mochammad Fahlevi & Mohammed Aljuaid & Sandra Grabowska, 2023. "The Evolution of FinTech in Scientific Research: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    13. Md. Nazmus Sakib & Shah Ridwan Chowdhury & Mohammad Younus & Nehad Laila Sanju & Farhana Foysal Satata & Mahafuza Islam, 2024. "How HR analytics evolved over time: a bibliometric analysis on Scopus database," Future Business Journal, Springer, vol. 10(1), pages 1-22, December.
    14. Lisa Marie Giermindl & Franz Strich & Oliver Christ & Ulrich Leicht-Deobald & Abdullah Redzepi, 2022. "The dark sides of people analytics: reviewing the perils for organisations and employees," European Journal of Information Systems, Taylor & Francis Journals, vol. 31(3), pages 410-435, May.
    15. Deepa Mishra & Angappa Gunasekaran & Thanos Papadopoulos & Stephen J. Childe, 2018. "Big Data and supply chain management: a review and bibliometric analysis," Annals of Operations Research, Springer, vol. 270(1), pages 313-336, November.
    16. Abramo, Giovanni, 2018. "Revisiting the scientometric conceptualization of impact and its measurement," Journal of Informetrics, Elsevier, vol. 12(3), pages 590-597.
    Full references (including those not matched with items on IDEAS)

    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. Md. Nazmus Sakib & Shah Ridwan Chowdhury & Mohammad Younus & Nehad Laila Sanju & Farhana Foysal Satata & Mahafuza Islam, 2024. "How HR analytics evolved over time: a bibliometric analysis on Scopus database," Future Business Journal, Springer, vol. 10(1), pages 1-22, December.
    2. Lehmann, Johannes, 2024. "HR analytics: A centralizing or decentralizing force?," Working papers 2024/13, Faculty of Business and Economics - University of Basel.
    3. Tuba Bircan & Almila Alkim Akdag Salah, 2022. "A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    4. Mostafa Bigdeli & Mahsa Akbari, 2024. "Machine-learning-based Classification of Customers’ Behavioural Model in Instagram," Paradigm, , vol. 28(2), pages 223-240, December.
    5. Migliavacca, Milena & Goodell, John W. & Paltrinieri, Andrea, 2023. "A bibliometric review of portfolio diversification literature," International Review of Financial Analysis, Elsevier, vol. 90(C).
    6. Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
    7. Sofia Schöbel & Anuschka Schmitt & Dennis Benner & Mohammed Saqr & Andreas Janson & Jan Marco Leimeister, 2024. "Charting the Evolution and Future of Conversational Agents: A Research Agenda Along Five Waves and New Frontiers," Information Systems Frontiers, Springer, vol. 26(2), pages 729-754, April.
    8. Byung-Jik Kim & Julak Lee, 2024. "The mental health implications of artificial intelligence adoption: the crucial role of self-efficacy," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    9. Mathieu Chevrier & Vincent Teixeira, 2024. "Algorithm Delegation and Responsibility: Shifting Blame to the Programmer?," GREDEG Working Papers 2024-04, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Sep 2024.
    10. BOWERS Dominique & MATLALA Ntswaki & BERHADIEN Moegamat & UMETOR Henry & GONGXEKA Thabo, 2024. "Sustainable Supply Chain Management And Disruptive Theory: A Bibliometric Review," Management of Sustainable Development, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 16(1), pages 11-23, June.
    11. Abderahman Rejeb & Karim Rejeb & Yasanur Kayikci & Andrea Appolloni & Horst Treiblmaier, 2024. "Mapping the knowledge domain of green procurement: a review and bibliometric analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30027-30061, December.
    12. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.
    13. Zhentao Liang & Jin Mao & Kun Lu & Gang Li, 2021. "Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9519-9542, December.
    14. Dušan Nikolić & Dragan Ivanović & Lidija Ivanović, 2024. "An open-source tool for merging data from multiple citation databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4573-4595, July.
    15. Antonio De Nicola & Maria Luisa Villani, 2021. "Smart City Ontologies and Their Applications: A Systematic Literature Review," Sustainability, MDPI, vol. 13(10), pages 1-40, May.
    16. Rodrigo Dorantes-Gilardi & Aurora A. Ramírez-Álvarez & Diana Terrazas-Santamaría, 2023. "Is there a differentiated gender effect of collaboration with super-cited authors? Evidence from junior researchers in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2317-2336, April.
    17. Agata Mirowska & Jbid Arsenyan, 2025. "A Bridge Too Far: Signalling Effects of Artificial Intelligence Evaluation of Job Interviews," Post-Print hal-04996541, HAL.
    18. Wai Ming To & Billy T. W. Yu, 2025. "Artificial Intelligence Research in Tourism and Hospitality Journals: Trends, Emerging Themes, and the Rise of Generative AI," Tourism and Hospitality, MDPI, vol. 6(2), pages 1-20, April.
    19. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2020. "The domestic localization of knowledge flows as evidenced by publication citation: the case of Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1305-1329, November.
    20. Giuseppe Craparo & Elisa Isabel Cano Montero & Jesús Fernando Santos Peñalver, 2024. "Trends in the circular economy applied to the agricultural sector in the framework of the SDGs," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26699-26729, October.

    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:spr:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00515-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.