Abstract
The present research aims to identify significant contributors, recent dynamics, domains and advocates for future study directions in the arena of integration of Artificial Intelligence (AI) with Human Resource Management (HRM), in the context of various functions and practices in organizations. The paper adopted a methodology comprising of bibliometrics, network and content analysis (CA), on a sample of 344 documents extracted from the Scopus database, to identify extant research on this theme. Along with the bibliometric analysis, systematic literature review was done to propose an Artificial Intelligence and Human Resource Management Integration (AIHRMI) framework. Five clusters were recognized, and CA was conducted on the documents placed in the group of articles. It was found that vital research concentration in this arena is primarily about AI embeddedness in various HRM functions such as recruitment, selection, onboarding, training and learning, performance analysis, talent acquisition, as well as management and retention. The study proposes an AIHRMI framework developed from various studies considered in the current research. This model can provide guidance and future directions for several organizations in expansion of use of AI in HRM.
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(Source: Authors). Note TP = Total publications, CoC = Co-citation count, CoA = Co-authorship, CoCu = Collaboration of countries, KF = Author key-word frequency, AJG = Academic journal guide, SNA = Social network analysis, NV = Network visualization, BtwCA = Between centrality analysis, PRA = Page rank analysis, TSA = Thematic structure analysis
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Appendix
Appendix
The most productive and significant authors | ||||
|---|---|---|---|---|
Sr. No | Authors | Affiliation | Country | TP |
1 | Strohmeier S | Chair of Management Information Systems, Saarland University, Saarbrücken, Germany | Germany | 6 |
2 | LIU J | National University of Defense Technology | China | 5 |
3 | Wang T | National University of Defense Technology | China | 5 |
4 | Wang X | School of Computer Science and Technology, Dalian University of Technology, Dalian, China | China | 4 |
5 | Hulanova OL | Department of State and Municipal Management, Surgut State University | Russian Federation | 3 |
6 | Fang M | College of Systems Engineering, National University of Defense Technology, Changsha, 410073, China | China | 3 |
7 | Hamdan AR | Faculty of Information Science and Technology, UKM, Bangi, Selangor | Malaysia | 3 |
8 | HE R | National University of Defense Technology, Changsha | China | 3 |
9 | Jantan H | Faculty of Computer Science and Mathematics, Universiti Teknologi MARA (Uitm) Terengganu, Dungun, Terengganu | Malaysia | 3 |
10 | Othman ZA | Faculty of Information Science and Technology, UKM, Bangi, Selangor | Malaysia | 3 |
Main co-author coupling | ||
|---|---|---|
Sr. No | Authors | Count of joint publications |
1 | Liu J., Wang T | 4 |
2 | Liu J., He R., Wang T | 3 |
3 | Jantan H., Hamdan A.R., Othman Z.A | 3 |
4 | Vinichenko M.V., Hulanova O.L., Rybakova M.V | 3 |
5 | Liu J., Li J., Wang T., He R | 2 |
6 | Petruzzellis S., Licchelli O., Palmisano I., Bavaro V., Palmisano C | 2 |
7 | Vinichenko M.V., Hulanova O.L., Rybakova M.V., Makushkin S.A | 2 |
8 | Vinichenko M.V., Hulanova O.L., Rybakova M.V., Malyshev M.A | 2 |
Total citation of the articles of top journals | |||
|---|---|---|---|
Sr. No | Sources | Articles | TC |
1 | Advances in Intelligent Systems and Computing | 21 | 11 |
2 | Communications in Computer and Information Science | 5 | 9 |
3 | Expert Systems with Applications | 5 | 132 |
4 | Frontiers in Artificial Intelligence and Applications | 5 | 31 |
5 | International Journal of Recent Technology and Engineering | 5 | 3 |
6 | International Journal of Scientific and Technology Research | 4 | 1 |
7 | Computers in Human Behavior | 4 | 30 |
8 | International Journal of Advanced Science and Technology | 4 | 0 |
9 | Procedia Computer Science | 3 | 7 |
10 | Boletin Tecnico/Technical Bulletin | 3 | 0 |
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Kaushal, N., Kaurav, R.P.S., Sivathanu, B. et al. Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis. Manag Rev Q 73, 455–493 (2023). https://doi.org/10.1007/s11301-021-00249-2
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DOI: https://doi.org/10.1007/s11301-021-00249-2
Keywords
- Artificial intelligence
- Human resource management
- Talent management
- Bibliometric analysis
- Systematic review