Purpose : This study aimed to investigate the impact of artificial intelligence (AI) on digital employee engagement, focusing on the roles of job autonomy and digital learning orientation. It sought to understand how these factors influenced employee engagement in a digital environment and the extent to which the meaningfulness of work mediated these relationships.

Design/Methodology/Approach : Data were collected from 527 individuals performing administrative jobs in the private service sector. The study utilized partial least squares structural equation modeling (PLS-SEM) to test the proposed relationships among job autonomy, digital learning orientation, and digital employee engagement with mediation of meaningfulness of work.

Findings : The findings indicated that job autonomy and digital learning orientation significantly and positively predicted digital employee engagement. However, the meaningfulness of work did not mediate the relationship between job autonomy, digital learning orientation, and digital employee engagement. The results of this study found that there was no significant relationship between the meaningfulness of work and digital employee engagement. This study also found that when the employees used digital tools, they often experienced feelings of loneliness and insecurity.

Practical Implications : The study suggested that the organization’s role should always be focused on promoting digital tools. Organizations should emphasize enhancing job autonomy and encourage employees to engage in digital learning orientation, boosting digital employee engagement in the workplace.

Originality/Value : This study contributed to the literature considering the role of AI applications that directly influenced digital employee engagement by addressing the significant roles of job autonomy and digital learning orientation. It also emphasized the need for future research to explore the impact of the meaningfulness of work and the dependence on digital tools for employee performance.

1. Aaradhi, V., & Chakraborty, D. (2024). Educational technology adoption in India: Theory of consumption values perspective. Prabandhan: Indian Journal of Management, 17(3), 48–68. https://doi.org/10.17010/pijom/2024/v17i3/173365
2. Ab Hamid, M. R., Sami, W., & Mohmad Sidek, M. H. (2017). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. Journal of Physics: Conference Series, 890, 012163. https://doi.org/10.1088/1742-6596/890/1/012163
3. Aboobaker, N., & Ka, Z. (2021). Digital learning orientation and innovative behavior in the higher education sector: Effects of organizational learning culture and readiness for change. International Journal of Educational Management, 35(5), 1030–1047. https://doi.org/10.1108/ijem-09-2019-0345
4. Allan, B. A., Duffy, R. D., & Collisson, B. (2016). Task significance and performance : Meaningfulness as a mediator. Journal of Career Assessment, 26(1), 172–182. https://doi.org/10.1177/1069072716680047
5. Almusharraf, N. M., and Bailey, D. (2021). Online engagement during COVID-19: Role of agency on collaborative learning orientation and learning expectations. Journal of Computer Assisted Learning , 37(5), 1285-1295. https://doi.org/10.1111/jcal.12569
6. Arora, R., & Pratibha. (2022). Relationship between flexible work arrangements, well-being, and performance of employees during the COVID-19 pandemic. Prabandhan: Indian Journal of Management, 15(2), 8–23. https://doi.org/10.17010/pijom/2022/v15i2/168332
7. Autin, K. L., Herdt, M. E., Garcia, R. G., & Ezema, G. N. (2021). Basic psychological need satisfaction, autonomous motivation, and meaningful work: A self-determination theory perspective. Journal of Career Assessment, 30(1), 78–93. https://doi.org/10.1177/10690727211018647
8. Baber, P., Baber, R., & Agarwal, T. (2021). Revisiting relationship between workplace spirituality and employee's performance-review and reconceptualization. JIMS8M: The Journal of Indian Management & Strategy, 26(1), 57–63. https://doi.org/10.5958/0973-9343.2021.00006.5
9. Baber, P., Baber, R., & Di Virgilio, F. (2023). Exploring the relationship between workplace spirituality, spiritual survival and innovative work behavior among healthcare professionals. International Journal of Healthcare Management, 17(3), 505–516. https://doi.org/10.1080/20479700.2023.2199555
10. Bergdahl, N., Knutsson, O., & Fors, U. (2018). Designing for engagement in TEL – A teacher-researcher collaboration. Designs for Learning, 10(1), 100–111. https://doi.org/10.16993/dfl.113
11. Boskovic, A. (2021). Autonomy and engagement in the digital age: Moderator role of working at the distance. Economic Horizons, 23(3), 231–246. https://doi.org/10.5937/ekonhor2103241b
12. Both-Nwabuwe, J. M. C., Lips-Wiersma, M., Dijkstra, M. T., & Beersma, B. (2020). Understanding the autonomy–meaningful work relationship in nursing: A theoretical framework. Nursing Outlook, 68(1), 104–113. https://doi.org/10.1016/j.outlook.2019.05.008
13. Burnett, J. R., & Lisk, T. C. (2021). The future of employee engagement: Real-time monitoring and digital tools for engaging a workforce. In International perspectives on employee engagement (pp. 117–128). Routledge. https://doi.org/10.4324/9781003142492-9
14. Chaudhary, R., & Akhouri, A. (2019). CSR perceptions and employee creativity: Examining serial mediation effects of meaningfulness and work engagement. Social Responsibility Journal, 15(1), 61–74. https://doi.org/10.1108/srj-01-2018-0018
15. Chui, M., Hall, B., Mayhew, H., Singla, A., & Sukharevsky, A. (2022, December 6). The state of AI in 2022-and a half decade in review. McKinsey & Company. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2022-and-a-half-decade-in-review
16. Clark, D. B., Tanner-Smith, E. E., & Killingsworth, S. S. (2016). Digital games, design, and learning : A systematic review and meta-analysis. Review of Educational Research, 86(1), 79–122. https://doi.org/10.3102/0034654315582065
17. Dash, G., & Chakraborty, D. (2021). Transition to e - learning : By choice or by force - A cross-cultural and trans-national assessment. Prabandhan: Indian Journal of Management, 14(3), 8–23. https://doi.org/10.17010/pijom/2021/v14i3/158151
18. Den Hartog, D. N., & Belschak, F. D. (2012). Work engagement and machiavellianism in the ethical leadership process. Journal of Business Ethics, 107(1), 35–47. https://doi.org/10.1007/s10551-012-1296-4
19. Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297–316. https://doi.org/10.25300/misq/2015/39.2.02
20. Dixit, A., Soni, D., & Raghuwanshi, S. (2023). Role of virtual leadership and digital fatigue on employee engagement. In G. Akel & M. Yilmaz (eds.), Digital business and optimizing operating strategies (pp. 1–26). IGI Global. https://doi.org/10.4018/979-8-3693-0428-0.ch001
21. Durward, D., Simmert, B., Peters, C., Blohm, I., & Leimeister, J. M. (2019). How to empower the workforce - Analyzing internal crowd work as a neo-socio-technical system. Proceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/hicss.2019.548
22. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
23. Gode, H. E., Johansen, W., & Thomsen, C. (2019). Employee engagement in generating ideas on internal social media. Corporate Communications: An International Journal, 25(2), 263–280. https://doi.org/10.1108/ccij-03-2019-0024
24. Grant, A. M. (2008). Does intrinsic motivation fuel the prosocial fire? Motivational synergy in predicting persistence, performance, and productivity. Journal of Applied Psychology, 93(1), 48–58. https://doi.org/10.1037/0021-9010.93.1.48
25. Hai, S., & Park, I.-J. (2024). Do it yourself, but I can help you at any time: The dynamic effects of job autonomy and supervisor competence on performance. Asian Business & Management, 23, 622–650. https://doi.org/10.1057/s41291-024-00269-2
26. Hair Jr, J. F., L.D.S. Gabriel, M. L., da Silva, D., & Braga Junior, S. (2019). Development and validation of attitudes measurement scales: Fundamental and practical aspects. RAUSP Management Journal, 54(4), 490–507. https://doi.org/10.1108/rausp-05-2019-0098
27. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/mtp1069-6679190202
28. Halbusi, H. A., Soto-Acosta, P., Popa, S., & Hassani, A. (2024). The role of green digital learning orientation and big data analytics in the green innovation–sustainable performance relationship. IEEE Transactions on Engineering Management, 71, 12886–12896. https://doi.org/10.1109/tem.2023.3277078
29. Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/imds-09-2015-0382
30. Huang, W., & Zhang, S. (2024). The impact of meaning in life on preservice teachers' innovative behavior: The chain mediating effects of career calling and learning engagement. Current Psychology, 43, 18294–18306. https://doi.org/10.1007/s12144-024-05671-9
31. Hughes, C., Robert, L., Frady, K., & Arroyos, A. (2019). Artificial intelligence, employee engagement, fairness, and job outcomes. In Managing technology and middle- and low-skilled employees (The changing context of managing people) (pp. 61–68). Emerald Publishing Limited. http://doi.org/10.1108/978-1-78973-077-720191005
32. Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692–724. https://doi.org/10.2307/256287
33. Kidane, A., & Xuefeng, Z. (2021). Exploring the relationship between job autonomy and employee engagement in turbulent times: The role of autonomous motivation International Journal of Research in Business and Social Science, 10(2), 134–152. https://doi.org/10.20525/ijrbs.v10i2.1074
34. Kumar, G. V., & Valarmathi, B. (2022). Features of vitamin model affecting psychological empowerment : Serial mediation role of job crafting and work engagement. Prabandhan: Indian Journal of Management, 15(8), 42 – 58. https://doi.org/10.17010/pijom/2022/v15i8/171525
35. Kusumawati, E., Matulessy, A., Rini Rr., A. P., & Muhid, A. (2024). Importance of happiness and meaningfulness of work in increasing work engagement of millennial generation in the digital age: Systematic literatur review. Jurnal Psikologi Teori Dan Terapan, 15(01), 16–31. https://doi.org/10.26740/jptt.v15n01.p16-31
36. Leach, D. J., Wall, T. D., & Jackson, P. R. (2003). The effect of empowerment on job knowledge: An empirical test involving operators of complex technology. Journal of Occupational and Organizational Psychology, 76(1), 27–52. https://doi.org/10.1348/096317903321208871
37. Lee, J., Sanders, T., Antczak, D., Parker, R., Noetel, M., Parker, P., & Lonsdale, C. (2021). Influences on user engagement in online professional learning: A narrative synthesis and meta-analysis. Review of Educational Research, 91(4), 518–576. https://doi.org/10.3102/0034654321997918
38. Lee, M. C. C., Idris, M. A., & Delfabbro, P. H. (2017). The linkages between hierarchical culture and empowering leadership and their effects on employees' work engagement: Work meaningfulness as a mediator. International Journal of Stress Management, 24(4), 392–415. https://doi.org/10.1037/str0000043
39. Li, M., Yin, D., Qiu, H., & Bai, B. (2021). A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations. International Journal of Hospitality Management, 95, 102930. https://doi.org/10.1016/j.ijhm.2021.102930
40. Lin, L., Cai, X., & Yin, J. (2021). Effects of mentoring on work engagement: Work meaningfulness as a mediator. International Journal of Training and Development, 25(2), 183–199. https://doi.org/10.1111/ijtd.12210
41. Lips-Wiersma, M., Haar, J., & Cooper–Thomas, H. D. (2023). Is meaningful work always a resource toward well-being? The effect of autonomy, security and multiple dimensions of subjective meaningful work on well-being. Personnel Review, 52(1), 321–341. https://doi.org/10.1108/pr-10-2020-0754
42. Malik, A., Budhwar, P., Mohan, H., & Srikanth, N. R. (2022). Employee experience - The missing link for engaging employees: Insights from an MNE's AI-based HR ecosystem. Human Resource Management, 62(1), 97-115. https://doi.org/10.1002/hrm.22133
43. Martela, F., Gómez, M., Unanue, W., Araya, S., Bravo, D., & Espejo, A. (2021). What makes work meaningful? Longitudinal evidence for the importance of autonomy and beneficence for meaningful work. Journal of Vocational Behavior, 131, 103631. https://doi.org/10.1016/j.jvb.2021.103631
44. Meng, F., Wang, Y., Xu, W., Ye, J., Peng, L., & Gao, P. (2020). The diminishing effect of transformational leadership on the relationship between task characteristics, perceived meaningfulness, and work engagement. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.585031
45. Mer, A., & Srivastava, A. (2023). Employee engagement in the new normal: Artificial intelligence as a buzzword or a game changer? In P. Tyagi, N. Chilamkurti, S. Grima, K. Sood, & B. Balusamy (eds.), The adoption and effect of artificial intelligence on human resources management, Part A (Emerald studies in finance, insurance, and risk management) (pp. 15–46). Emerald Publishing Limited. https://doi.org/10.1108/978-1-80382-027-920231002
46. Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023). The impact of artificial intelligence on workers' skills: Upskilling and reskilling in organisations. Informing Science: The International Journal of an Emerging Transdiscipline, 26, 039–068. https://doi.org/10.28945/5078
47. Nawaz, N., Arunachalam, H., Pathi, B. K., & Gajenderan, V. (2024). The adoption of artificial intelligence in human resources management practices. International Journal of Information Management Data Insights, 4(1), 100208. https://doi.org/10.1016/j.jjimei.2023.100208
48. Opland, L. E., Pappas, I. O., Engesmo, J., & Jaccheri, L. (2022). Employee-driven digital innovation: A systematic review and a research agenda. Journal of Business Research, 143, 255–271. https://doi.org/10.1016/j.jbusres.2022.01.038
49. Panda, A., Sinha, S., & Jain, N. K. (2021). Job meaningfulness, employee engagement, supervisory support and job performance: A moderated-mediation analysis. International Journal of Productivity and Performance Management, 71(6), 2316–2336. https://doi.org/10.1108/ijppm-08-2020-0434
50. Patra, G., Mukhopadhyay, I., & Dash, C. K. (2019). Digital employer branding for enabling Gen Y in the ITeS sector in Eastern India. Prabandhan: Indian Journal of Management, 12(3), 38–49. https://doi.org/10.17010/pijom/2019/v12i3/142339
51. Polisetty, A., & Sheela, P. (2023). Will AI replace humans from human resources? A case analysis. Prabandhan: Indian Journal of Management, 16(6), 25-38. https://doi.org/10.17010/pijom/2023/v16i6/172862
52. Prentice, C., Weaven, S., & Wong, I. A. (2020). Linking AI quality performance and customer engagement: The moderating effect of AI preference. International Journal of Hospitality Management, 90, 102629. https://doi.org/10.1016/j.ijhm.2020.102629
53. Prentice, C., Wong, I. A., & Lin, Z. (CJ). (2023). Artificial intelligence as a boundary-crossing object for employee engagement and performance. Journal of Retailing and Consumer Services, 73, 103376. https://doi.org/10.1016/j.jretconser.2023.103376
54. Prikshat, V., Islam, M., Patel, P., Malik, A., Budhwar, P., & Gupta, S. (2023). AI-Augmented HRM: Literature review and a proposed multilevel framework for future research. Technological Forecasting and Social Change, 193, 122645. https://doi.org/10.1016/j.techfore.2023.122645
55. Regy, J., & Malini, D. H. (2019). Impact of high performance work practices on employee engagement in apparel manufacturing and retail firms. Prabandhan: Indian Journal of Management, 12(2), 7–22. https://doi.org/10.17010/pijom/2019/v12i2/141753
56. Robbins, S., & Judge, T. A. (2017). Essentials of organizational behavior. Pearson.
57. Rothausen, T. J., & Henderson, K. E. (2018). Meaning-based job-related well-being: Exploring a meaningful work conceptualization of job satisfaction. Journal of Business and Psychology, 34(3), 357–376. https://doi.org/10.1007/s10869-018-9545-x
58. Sadeghian, S., & Hassenzahl, M. (2022). The “artificial” colleague: Evaluation of work satisfaction in collaboration with non-human co-workers. Proceedings of the 27th International Conference on Intelligent User Interfaces (pp. 27–35). ACM Digital Library. https://doi.org/10.1145/3490099.3511128
59. Saks, A. M. (2006). Antecedents and consequences of employee engagement. Journal of Managerial Psychology, 21(7), 600–619. https://doi.org/10.1108/02683940610690169
60. Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25(3), 293–315. https://doi.org/10.1002/job.248
61. Selimovic, J., Pilav-Velic, A., & Krndzija, L. (2021). Digital workplace transformation in the financial service sector: Investigating the relationship between employees' expectations and intentions. Technology in Society, 66, 101640. https://doi.org/10.1016/j.techsoc.2021.101640
62. Singh, Y., & Atwal, H. (2019). Digital culture –A hurdle or a catalyst in employee engagement. International Journal of Management Studies, 6(1(8)), 54–60. https://researchersworld.com/index.php/ijms/article/view/1255
63. Slatten, T., & Mehmetoglu, M. (2011). Antecedents and effects of engaged frontline employees: A study from the hospitality industry. Managing Service Quality: An International Journal, 21(1), 88–107. https://doi.org/10.1108/09604521111100261
64. Smids, J., Nyholm, S., & Berkers, H. (2019). Robots in the workplace: A threat to-or opportunity for-meaningful work? Philosophy & Technology, 33(3), 503–522. https://doi.org/10.1007/s13347-019-00377-4
65. Steger, M. F., Dik, B. J., & Duffy, R. D. (2012). Measuring meaningful work: The work and meaning inventory (WAMI). Journal of Career Assessment, 20(3), 322–337. https://doi.org/10.1177/1069072711436160
66. Streukens, S., & Leroi-Werelds, S. (2016). Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results. European Management Journal, 34(6), 618–632. https://doi.org/10.1016/j.emj.2016.06.003
67. Sung, M., Yoon, D.-Y., & Han, C. (2022). Does job autonomy affect job engagement? Psychological meaningfulness as a mediator. Social Behavior and Personality: An International Journal, 50(5), 1–10. https://doi.org/10.2224/sbp.11275
68. Symon, G., & Whiting, R. (2018). The sociomaterial negotiation of social entrepreneurs' meaningful work. Journal of Management Studies, 56(3), 655–684. https://doi.org/10.1111/joms.12421
69. Vandewalle, D. (1997). Development and validation of a work domain goal orientation instrument. Educational and Psychological Measurement, 57(6), 995–1015. https://doi.org/10.1177/0013164497057006009
70. Vatsa, R., & Bhatnagar, P. (2021). Role of learning ability and learning agility for corporate success: A textual analysis. Prabandhan: Indian Journal of Management, 14(10), 24–37. https://doi.org/10.17010/pijom/2021/v14i10/166642
71. Voydanoff, P. (2004). The effects of work demands and resources on work-to-family conflict and facilitation. Journal of Marriage and Family, 66(2), 398–412. https://doi.org/10.1111/j.1741-3737.2004.00028.x
72. Wood, A. J., Graham, M., Lehdonvirta, V., & Hjorth, I. (2018). Good gig, bad gig: Autonomy and algorithmic control in the global gig economy. Work, Employment and Society, 33(1), 56–75. https://doi.org/10.1177/0950017018785616
73. Yagil, D., & Oren, R. (2021). Servant leadership, engagement, and employee outcomes: The moderating roles of proactivity and job autonomy. Journal of Work and Organizational Psychology, 37(1), 59–68. https://doi.org/10.5093/jwop2021a1
74. Zel, S., & Kongar, E. (2020). Transforming digital employee experience with artificial intelligence. In ITU International Conference on Artificial Intelligence for Good (AI4G) (pp. 176–179). IEEE. https://doi.org/10.1109/ai4g50087.2020.9311088
75. Zuo, L., Fisher, G. J., & Yang, Z. (2019). Organizational learning and technological innovation: The distinct dimensions of novelty and meaningfulness that impact firm performance. Journal of the Academy of Marketing Science, 47(6), 1166–1183. https://doi.org/10.1007/s11747-019-00633-1