Keywords
SMEs
talent acquisition
How to Cite
Accepted 2024-12-24
Published 2025-02-16
Abstract
With the continuous maturity of AI technology, AI applications can also steadily empower SMEs through big data, cloud computing, and other avenues, thus reducing the threshold of technology application. Therefore, embedding AI into the talent recruitment management system of SMEs is the focus of this study. In order to gain an in-depth insight into the development of this cutting-edge field, this study relies on authoritative databases in the field, such as Scopus, and adopts bibliographic analysis, an advanced and rigorous research methodology, to scientifically and systematically screen and analyse the relevant literature published between 2020 and October 2024. During the screening process, keywords such as "artificial intelligence, talent acquisition, Small and small and medium-sized enterprises" were carefully selected to ensure the relevance of the literature. In addition, this study provides a reference program for other SMEs to build an AI-based talent acquisition management program.
References
References
Gao, S., & Segumpan, R. a. G. (2024). The Effect of AI-driven Talent Management on Organizational Performance among Retail SMEs：A Systematic Review. IBIMA Business Review, 1–9. https://doi.org/10.5171/2024.588377
Sithambaram, R. A., & Tajudeen, F. P. (2022). Impact of artificial intelligence in human resource management: a qualitative study in the Malaysian context. Asia Pacific Journal of Human Resources, 61(4), 821–844. https://doi.org/10.1111/1744-7941.12356
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
Chen, Z. (2022). Collaboration among recruiters and artificial intelligence: removing human prejudices in employment. Cognition Technology & Work, 25(1), 135–149. https://doi.org/10.1007/s10111-022-00716-0
Zhang, H. (2024). Exploring the Impact of AI on Human Resource Management: A case study of organizational adaptation and employee dynamics. IEEE Transactions on Engineering Management, 1–14. https://doi.org/10.1109/tem.2024.3457520
Qamar, Y., Agrawal, R. K., Samad, T. A., & Jabbour, C. J. C. (2021). When technology meets people: the interplay of artificial intelligence and human resource management. Journal of Enterprise Information Management, 34(5), 1339–1370. https://doi.org/10.1108/jeim-11-2020-0436
Johnson, B. a. M., Coggburn, J. D., & Llorens, J. J. (2022). Artificial intelligence and Public Human Resource Management: Questions for research and practice. Public Personnel Management, 51(4), 538–562. https://doi.org/10.1177/00910260221126498
Mori, M., Sassetti, S., Cavaliere, V., & Bonti, M. (2024). A systematic literature review on artificial intelligence in recruiting and selection: a matter of ethics. Personnel Review. https://doi.org/10.1108/pr-03-2023-0257
Chang, K. (2020). Artificial intelligence in personnel management: the development of APM model. The Bottom Line Managing Library Finances, 33(4), 377–388. https://doi.org/10.1108/bl-08-2020-0055
Böhmer, N., & Schinnenburg, H. (2023). Critical exploration of AI-driven HRM to build up organizational capabilities. Employee Relations, 45(5), 1057–1082. https://doi.org/10.1108/er-04-2022-0202
Budhwar, P., Malik, A., De Silva, M. T. T., & Thevisuthan, P. (2022). Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda. The International Journal of Human Resource Management, 33(6), 1065–1097. https://doi.org/10.1080/09585192.2022.2035161
Dawson, J. Y., & Agbozo, E. (2024). AI in talent management in the digital era – an overview. Journal of Science and Technology Policy Management. https://doi.org/10.1108/jstpm-06-2023-0104
Espinosa, J. C. G., Sánchez, L. M. L., & Pereira, M. a. F. (2024). Benefits of Artificial Intelligence in human talent management. Multidisciplinar, 1, 14. https://doi.org/10.62486/agmu202314
Kiritsi, A., & Adamantidis, V. (2024). Recruitment and talent management in the modern world using AI. International Journal of Management Knowledge and Learning, 13. https://doi.org/10.53615/2232-5697.13.151-157
Santoso, N. A., Efendi, N. S., & Nurwulandari, N. A. (2024). The Future of Big Data and Artificial Intelligence in Talent Management Practices: A Literature review. International Journal of Economics and Management Sciences, 1(3), 161–174. https://doi.org/10.61132/ijems.v1i3.132
Laelawati, K. (2024). The new HR paradigm: integrating AI and human insight for superior talent management. Journal of Economic Bussines and Accounting (COSTING), 7(5), 1481–1490. https://doi.org/10.31539/costing.v7i5.11779
Paramita, D., Okwir, S., & Nuur, C. (2024). Artificial intelligence in talent acquisition: exploring organisational and operational dimensions. International Journal of Organizational Analysis, 32(11), 108–131. https://doi.org/10.1108/ijoa-09-2023-3992
Westover, J. (2024). HR’s strategic role in managing the AI-Driven talent restructure. Human Capital Leadership., 13(3). https://doi.org/10.70175/hclreview.2020.13.3.2
Edwin, E. I., Ugwu, C. C. O., & Obumnaeme, I. K. (2024). Implementation of artificial intelligence on personnel management in a dynamic society. Shanlax International Journal of Management, 12(2), 41–52. https://doi.org/10.34293/management.v12i2.8135
Chakraborty, T., & Sharada, S. V. (2024). Optimizing talent acquisition. In Advances in human resources management and organizational development book series (pp. 259–276). https://doi.org/10.4018/979-8-3693-6402-4.ch009
Rebrii, M. S., & Zinovatna, S. L. (2024). Candidates resume analyzer using artificial intelligence. Ìnformatika, Kulʹtura, Tehnìka., 1(1), 139–146. https://doi.org/10.15276/ict.01.2024.20
Oman, N. Z. U., Siddiqua, N. A., & Noorain, N. R. (2024). Artificial Intelligence and its ability to reduce recruitment bias. World Journal of Advanced Research and Reviews, 24(1), 551–564. https://doi.org/10.30574/wjarr.2024.24.1.3054
Surbakti, N. R. T. (2024). The effect of artificial intelligence on the effectiveness of the recruitment process in startup companies. International Journal of Science and Research Archive, 13(1), 250–256. https://doi.org/10.30574/ijsra.2024.13.1.1491
Biradar, A., Ainapur, J., K, K., Aishwarya, A., Sudharani, S., Shivaleela, S., & Monika, M. (2024b). “The Impact of Artificial Intelligence on Modern Recruitment Practices: A Multi-Company Case Study Analysis.” International Journal of Business and Management Invention., 13(9), 143–150. https://doi.org/10.35629/8028-1309143150
Liu, G., Sha, L., & Khukhe, B. (2024). Research on the application of Artificial intelligence technology in corporate recruitment. Frontiers in Business Economics and Management, 16(1), 64–68. https://doi.org/10.54097/wj00hw69
Zhou, F. (2024). AI System Report: Hirevue’s AI-Driven Assessment tool. Innovation in Science and Technology, 3(4), 109–112. https://doi.org/10.56397/ist.2024.07.11
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