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A Bibliometric Review of Artificial Intelligence in Talent Acquisition with respect to India

Vol 9 , Issue 2 , July - December 2023 | Pages: 162-174 | Research Paper  

https://doi.org/10.58419/gbs.v9i2.922311


Author Details ( * ) denotes Corresponding author

1. * Kirankumar Agadi, Research scholar, Management, Kousali Institute of Management Studies Karnatak University Dharwad, Dharwad, Karnataka, India (ksagadi@kud.ac.in)
2. Uttamkumar Kinange, Professor, Management, Kousali Institute of Management Studies Karnatak University Dharwad, Dharwad, Karnataka, India (uttam2020@gmail.com)

Artificial intelligence (AI) is booming in today's Digitalization era. Every organisation is implementing Artificial Intelligence technology for various business activities. Human Resource Management is also utilising Artificial Intelligence technology for HR functions such as Talent Acquisition. All the world's developed countries have already adopted advanced technologies for their businesses. In comparison to developed countries, India's use of artificial technology is gradually increasing. Business experts and professionals must gain knowledge about AI, and publications on AI technology related to talent acquisition should be expanded. As a result, there is increase in AI and talent acquisition-related publications in India, hence bibliometric analysis study is conducted on the pieces of literature published on AI and Talent Acquisition in India. The purpose of the study is to investigate academic publication trends in the research interaction between Artificial Intelligence and Talent Acquisition in India that helps to provide the information for researchers regarding the publication trend, the top authors based on the citations, the best source published literatures on AI usage in Talent Acquisition, and the keywords which are frequently used in the publications done on the topic i.e., Artificial Intelligence and Talent Acquisition in India. To achieve the study's goal, systematically extracted 684 published pieces of literature from 2010 to 2022 in the database "Dimensions" in the form of CSV format. Then the results are imported into VOS viewer software for analysis. The study finds that Artificial Intelligence, Talent Acquisition, Adoption, and Human Resource Management are the keywords having more co-occurrences with the highest number of average publications per year between 2010 to 2022 and with the Network Visualization and Overlay Visualization the study concludes that there are more studies are happening on the topics related to Adoption of Artificial Intelligence for Talent Acquisition in India.

Keywords

Artificial Intelligence, Dimensions, India, Talent Acquisition, Talent Identification, Bibliometric Review

  1. Bilan, S., Šuleř, P., Skrynnyk, O., Krajňáková, E., & Vasilyeva, T. (2022). Systematic Bibliometric Review of Artificial Intelligence Technology in Organizational Management, Development, Change and Culture. Business: Theory and Practice, 23(1), 1–13. https://doi.org/10.3846/btp.2022.13204
  2. 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(April), 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  3. McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the Dartmouth summer research project on artificial intelligence. AI Magazine, 27(4), 12–14.
  4. Pillai, R., & Sivathanu, B. (2020). Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations. Benchmarking:An International Journal, 27(9), 2599–2629. https://doi.org/10.1108/BIJ-04-2020-0186
  5. Tuffaha, M., & Perello-Marin, M. R. (2021). Adoption factors of artificial intelligence in human resource management. World Conference on Management Business and Economics, 26–29. https://doi.org/https://doi.org/10.4995/thesis/10251/185909
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