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INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN COMMERCE, MANAGEMENT & SOCIAL SCIENCE (IJARCMSS) [ Vol. 9 | No. 3 (III) | July - September, 2026 ]

Bibliometric Analysis: Mapping the Artificial Intelligence and Labour Dynamicsin the Indian Context

Madhuri Jyothi Rani & Dr. Kirti Deswal

The research provides bibliometrics analysis of Artificial Intelligence (AI) studies in the light of their relevance to the dynamics of the labour market in India. Based on the information retrieved from the Dimensions database and processed through the VOSviewer, the research examines trends in publications, co-authorship, citation, and keyword networks for the period from 2016 to 2025. The results show a gradual increase in AI-related labour studies, including those which form thematic clusters concerning automation, skills transformation, digital labour platforms, and AI-based human resources management. The list of influential studies includes works on different topics which reflects an interdisciplinary approach to AI impacts on employment. On the one hand, there is a gap between highly cited and loosely connected studies and new, more connected ones that reflect a shift towards a more coherent intellectual structure. India proves to be a major producer both by volume and citation of scholarly studies, while the global players like the USA, Brazil, and Switzerland are the source of high-impact publications. The research brings attention to the problem of the disruption and adaptation of skills on the part of the labour force.

Rani, M. & Deswal, K. (2026). Bibliometric Analysis: Mapping the Artificial Intelligence and Labour Dynamicsin the Indian Context. International Journal of Advanced Research in Commerce, Management &Amp; Social Science, 09(03(III)), 188–202. https://doi.org/10.62823/ijarcmss/9.3(III).9468
  1. Agadi, S. S., & Kinange, U. (2024). Artificial intelligence applications in human resource management: A bibliometric analysis. International Journal of Human Resource Studies, 14(2), 45–67.
  2. Agadi, K., & Kinange, U. (2024). A bibliometric review of artificial intelligence in talent acquisition with respect to India. GBS Impact: Journal of Multi Disciplinary Research, 9(2), 162–174.
  3. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
  4. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  5. Ganuthula, R., & Balaraman, R. (2025). Artificial intelligence and the labour market: Trends, challenges, and policy implications. Journal of Future Work Studies, 3(1), 22–41.
  6. Ganuthula, V. R. R., & Balaraman, K. K. (2025). Skill-based labor market polarization in the age of AI: A comparative analysis of India and the United States. arXiv preprint.https://arxiv.org/abs/2501.15809
  7. Georgieva, K. (2024, January 15). AI will impact 40% of jobs globally, says IMF chief. The Hindu.https://www.thehindu.com/business/Economy/ai-will-impact-40-of-jobs-globally-says-imf-chief/article67742839.ece
  8. Gopinath, G. (2023, January 18). AI could impact 30% of jobs in India: IMF. CNBC TV18.https://www.cnbctv18.com/technology/wef-2023-gita-gopinath-says-ai-could-impact-30-of-jobs-in-india-18816901.htm
  9. Goel, A., Mehra, R., & Kapoor, P. (2024). Digital labour platforms and artificial intelligence: A bibliometric mapping. Asian Journal of Management Research, 15(1), 102–121.
  10. Goel, V., Unny, B. R., Shome, S., & Gupta, Y. (2024). Digital labour: A systematic literature review and bibliometric analysis. International Journal of Organizational Analysis, 32(5), 967–1007.
  11. Herzog, C., Hook, D., & Konkiel, S. (2020). Dimensions: Bringing down barriers between scientometricians and data. Quantitative Science Studies, 1(1), 387–395. https://doi.org/10.1162/qss_a_00020
  12. International Labour Organization. (2023). The economics of artificial intelligence: Implications for the future of work. ILO Publications. https://www.ilo.org/publications/economics-artificial-intelligence-implications-future-work
  13. International Labour Organization. (2024, March 3). Latest ILO study links AI to dip in labour income. The Hindu.https://www.thehindu.com/business/Economy/latest-ilo-study-links-ai-to-dip-in-labour-income/article68606087.ece
  14. International Labour Organization & Institute for Human Development. (2024). India employment report 2024. ILO Publications.
  15. Ministry of Finance. (2024). Economic survey 2023–24. Government of India.
  16. Moed, H. F. (2005). Citation analysis in research evaluation. Springer.
  17. NITI Aayog. (2022). India’s booming gig and platform economy. Government of India.
  18. Pandey, N., Kumar, S., & Donthu, N. (2021). Bibliometric analysis: An overview and application in marketing research. Journal of Business Research, 131, 285–297.
  19. Pandey, S., Verma, M. K., & Shukla, R. (2021). A scientometric analysis of scientific productivity of artificial intelligence research in India. Journal of Scientometric Research, 10(2), 245–250.
  20. Prakash, A., & Rathi, S. (2025). Skill-based labor market polarization in the age of AI. arXiv preprint.https://arxiv.org/abs/2501.15809
  21. Sehgal, M., & Thenmozhi, R. (2024). Diversity, inclusion, and artificial intelligence: A bibliometric exploration. Journal of Organizational Change Management, 37(2), 314–332.
  22. Sehgal, W., & Thenmozhi, M. (2024). Artificial Intelligence (AI) in human resource management (HRM): A bibliometric research. International Journal of Convergent Research, 1(1).
  23. Sharma, R., Gupta, V., & Thomas, A. (2024). Artificial intelligence, ethics, and workplace diversity: A bibliometric review. International Journal of Ethics in Technology, 9(3), 56–78.
  24. Sharma, C., Srivastava, R., Rajput, A., Mukherjee, R., & Chandra, S. (2024). Evaluating AI's role in enhancing DE and I: A bibliometric approach. International Research Journal on Advanced Engineering and Management, 2(6).
  25. Tiwari, S., Mishra, R., & Patel, K. (2023). Mapping research on Industry 4.0: A bibliometric study. Technological Forecasting and Social Change, 187, 122177. https://doi.org/10.1016/j.techfore.2022.122177
  26. Tiwari, A., Bardhan, S., & Kumar, V. (2023). A bibliographic study on Artificial Intelligence research: Global panorama and Indian appearance. arXiv preprint.
  27. van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
  28. World Economic Forum. (2023). The future of jobs report 2023. World Economic Forum. https://www.weforum.org/reports/future-of-jobs-2023
  29. World Economic Forum. (2025). AI for India 2030: Blueprint for inclusive growth and global leadership. World Economic Forum. https://www.weforum.org/stories/2025/01/ai-for-india-2030-blueprint-inclusive-growth-global-leadership.

DOI:

Article DOI: 10.62823/ijarcmss/9.3(III).9468

DOI URL: https://doi.org/10.62823/ijarcmss/9.3(III).9468

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