Integration of Artificial Intelligence and Retention Intention: The Role of Adaptability and Employee Engagement in the Era of Digital Transformation
DOI:
https://doi.org/10.32493/JJSDM.v9i2.57539Keywords:
Artificial Intelligence; Employee Engagement; Adaptability; Retention Intention.Abstract
This study aims to analyze the role of employee attachment in mediating the integration of artificial intelligence with retention intention with adaptability as a moderation variable in employees of BPJS Employment Madiun Branch Office. This study applied a quantitative approach using a sample of primary data from 35 respondents, namely all employees of BPJS Employment Madiun Branch Office. The data was analyzed using SmartPLS software v.4.1.0.9. The results of the study show that the integration of artificial intelligence and employee engagement has a positive and significant effect on retention intention. Employee engagement can mediate the relationship between the integration of artificial intelligence and retention intention, and the existence of adaptability can strengthen the relationship between the two. This research offers novelty by integrating artificial intelligence as a strategic factor in human resource management, analyzing not only its direct influence on retention intention but also through the psychological mechanisms of employee engagement as a mediating variable and adaptability as a moderating variable. This is different from previous research that has generally focused on the impact of technology or employee engagement separately.
References
1. Aditama, R. A. (2020). Pengantar Manajemen: Teori dan Aplikasi. AE Publishing.
2. Al-ayed, S. (2025). Role Of Artificial Intelligence Towards Employee Retention Via Mediation Of Employee Loyalty : A Company Governance Study. 14(2), 363–370. https://doi.org/10.22495/jgrv14i2siart15
3. Alrianti, A., & Ekhsan, M. (2024). The Influence Of Talent Management And Employee Engagement On Employee Retention Mediated By Job Satisfaction. Jurnal Al Iqtishad, 20(1), 32–50.
4. Azeem, M. M., Febriyanto, U., & Ferrani, A. N. (2024). Unlocking the Values of Artificial Intelligence (AI) in Human Resource Management (HRM) in Enhancing Employee Retention. An International Journal, 16(2s), 463–477.
5. Biswas, M. (2025). Organizational career development and Employee retention: Role of Career adaptability. International Journal For Multidisciplinary Research, 7(2), 1–11. https://doi.org/10.36948/ijfmr.2025.v07i02.41981
6. Boylan, S. A., & Turner, K. A. (2017). Developing Organizational Adaptability for Complex Environment. Journal of Leadership Education, 16(2), 183–198. https://doi.org/10.12806/v16/i2/t2
7. Ekhsan, M., Badrianto, Y., & Suwandi, S. (2023). Digital Talent on Employee Retention: the Role of Employee Engagement as Mediation. Journal of Law and Sustainable Development, 11(10), e1121. https://doi.org/10.55908/sdgs.v11i10.1121
8. Emilisa, N., Hilalluddin, A., Andrianto, H., & Apriansyah, H. (2025). Pengaruh Artificial Intelligence (AI) dan Leadership terhadap Sustainable Organisational Performance yang dimediasi oleh Employee Engagement pada Perusahaan E-commerce di Jakarta Selatan. AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis, 5(3), 1281–1292. https://doi.org/10.37481/jmeb.v5i3.1493
9. Faza, S., Purnamasari, E. D., & Veronica, M. (2025). The Influence Of Talent Management , Employee Engagement , And Work Life Balance On Employee Retention At Pt Mineski Palembang. 6488, 438–449.
10. Gayathiri G. (2025). Exploring the Role of Artificial Intelligence-Powered HR Practices in Shaping Employee Engagement and Retention Strategies. Journal of Information Systems Engineering and Management, 10(3), 1301–1317. https://doi.org/10.52783/jisem.v10i3.7772
11. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2018). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
12. Hasibuan, M. S. P. (2017). Manajemen Sumber Daya Manusia. PT. Bumi Aksara.
13. Kurniawati, N. I., & Raharja, E. (2023). The Influence of Employee Engagement on Organizational Performance: A Systematic Review. WSEAS Transactions on Business and Economics, 20, 203–213. https://doi.org/10.37394/23207.2023.20.20
14. Liu, J., Lu, W., Li, D., Fang, T., Zhang, Y., Li, Y., Zeng, X., Wu, J., Feng, Y., Zhang, L., & Hu, Y. (2023). Relationship between Spiritual Care Competence , Perceived Professional Benefit , and Retention Intention among Intern Nursing Students : A Correlational Study. 2023. https://doi.org/10.1155/2023/1184756
15. Mardanov, I. (2020). Intrinsic and extrinsic motivation, organizational context, employee contentment, job satisfaction, performance and intention to stay. Evidence-Based HRM: A Global Forum for Empirical Scholarship, 9(3), 223–240. https://doi.org/10.1108/EBHRM-02-2020-0018
16. Milliman, J., Gatling, A., & Kim, J. (Sunny). (2018). The effect of workplace spirituality on hospitality employee engagement, intention to stay, and service delivery. Journal of Hospitality and Tourism Management, 35, 56–65. https://doi.org/10.1016/j.jhtm.2018.03.002
17. Paigude, S., Pangarkar, S. C., Hundekari, S., Mali, M., Wanjale, K., & Dongre, Y. (2023). Potential of Artificial Intelligence in Boosting Employee Retention in the Human Resource Industry. International Journal on Recent and Innovation Trends in Computing and Communication, 11(January), 1–10. https://doi.org/10.17762/ijritcc.v11i3s.6149
18. Panggabean, L. F., Apriliana, G., & Kinnary, N. R. (2023). Pengaruh Pelatihan Dan Pengembangan Terhadap Retensi Karyawan Dan Kepuasan Kerja Dengan Keterikatan Karyawan Sebagai Variabel Mediasi (Studi Empiris Pada Generasi Y Dan Z di Wilayah Jabodetabek). Jurnal Kewidyaiswaraan, 8(2), 45–57. http://jurnalpjf.lan.go.id/index.php/jurnalkewidyaiswaraan
19. Paramita, R. W. D., N, R., & R, S. (2021). Metode Penelitian Kuantitatif Buku Ajar Perkuliahan Metodologi Penelitian Bagi Mahasiswa Akuntansi & Manajemen (Edisi 3). WIDYA GAMA PRESS.
20. Rožman, M., Oreški, D., & Tominc, P. (2022). Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1014434
21. Sari, R. E., Min, S., Purwoko, H., Furinto, A., & Tamara, D. (2020). Artificial Intelligence for a Better Employee Engagement. International Research Journal of Business Studies, 13(2), 173–188. https://doi.org/10.21632/irjbs.13.2.173-188
22. Suhendra, R. (2021). Role of Transactional Leadership in Influencing Motivation, Employee Engagement, and Intention to Stay. KnE Social Sciences, 2021, 194–210. https://doi.org/10.18502/kss.v5i5.8809
23. Surya Mahendra, G., Daniel Adolf Ohyver, Mk., Najirah Umar, Mp., Loso Judijanto, M., Ayuliamita Abadi, Ms., & Budi Harto, Mp. (2024). Tren Teknologi AI : Pengantar, Teori dan Contoh Penerapan Artificial Intelligence di Berbagai Bidang (Vol. 1). www.buku.sonpedia.com
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Rio Fajar Nugroho, Wahna Widhianingrum, Titi Rapini
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish in this journal agree to the following terms:
The author owns the copyright of the article and assigns to the journal the right of first publication with the work simultaneously licensed under the terms Atribusi 4.0 Internasional (CC BY 4.0)
which allows others to share the work with acknowledgment of the work's authorship and initial publication in this journal.Authors may enter into separate additional contractual arrangements for the non-exclusive distribution of the published journal version of the work (for example, posting it to an institutional repository or publishing it in a book), with acknowledgment of the work's original publication in this journal.
Authors are permitted and encouraged to post their work online (for example, in institutional repositories or on their websites) before and during the submission process, as this can lead to productive exchanges, as well as earlier and larger citations of published work (See The Effect of Open Access).
.png)
