International Journal of Emerging Research in Engineering, Science, and Management
Vol. 5, Issue 3, pp. 97-109, Jul-Sep 2026.
https://doi.org/10.58482/ijeresm.v5i3.7

Received: 02 May 2026 | Revised: 19 Aug 2026 | Accepted: 25 Aug 2026 | Published: 09 Sep 2026

Artificial Intelligence and Leadership: The Contribution of Sense of Belonging and Psychological Need Fulfilment

1Sarah John

2S. Amudhan

1Research Scholar, St Joseph’s University, 36, Lalbagh Road, Bengaluru-27, India.

2Assistant Professor, Department of Management, St Joseph’s University, 36, Lalbagh Road, Bengaluru-27, India.

Abstract: This paper examines the relationships among artificial intelligence, leadership, sense of belonging, and psychological need fulfilment among employees working in hybrid mode. It draws on self-determination theory to examine psychological need fulfilment and sense of belonging in relation to leadership perceptions, with artificial intelligence examined as a mediating variable. The study is limited to IT employees working in hybrid mode in Bengaluru, India. Using purposive sampling, 500 questionnaires were distributed, 410 responses were received, and 400 completed and valid responses were used for analysis. The proposed research model was analyzed using SPSS and AMOS software programs with structural equation modelling and mediation testing based on 5000 bootstrap resamples and bias-corrected 95% bootstrap confidence intervals. The findings show that sense of belonging (β = .381, p < .001), psychological need fulfilment (β = .318, p < .001), and artificial intelligence (β = .113, p = .013) are significantly and positively related to leadership. Psychological need fulfilment is positively associated with AI (β = .551, p < .001), whereas sense of belonging is significantly negatively associated with AI (β = −.097, p = .036). Artificial intelligence significantly mediates the relationship between psychological need fulfilment and leadership through a positive indirect effect (β = .062, 95% BC CI [.011, .120], p = .018). Artificial intelligence also mediates the relationship between sense of belonging and leadership (β = −.011, 95% BC CI [−.031, −.001], p = .034). The study concludes that artificial intelligence mediates the relationships of psychological need fulfilment and sense of belonging with leadership among employees working in hybrid mode. It highlights the importance of maintaining meaningful human interaction alongside the use of artificial intelligence. The findings also contribute to applying self-determination theory to understanding leadership perceptions among employees working in hybrid mode.

Keywords: Artificial intelligence, hybrid work, leadership, psychological need fulfilment, sense of belonging.

References
  1. M. H. Arıcıoğlu and M. K. Timuroğlu, “The effect of servant leadership on job crafting, job satisfaction, and work engagement among doctors: the mediating role of person-job fit,” BMC Health Services Research, vol. 26, no. 1, p. 88, Dec. 2025. https://doi.org/10.1186/s12913-025-13877-1
  2. J. P. Sankar, “Adaptive leadership on workplace performance mediated and moderated by employee empowerment and organizational culture,” Discover Education, vol. 5, no. 1, Dec. 2025. https://doi.org/10.1007/s44217-025-01093-2
  3. A. M. Obeidat, “From digital culture to digital transformation: Examining the roles of digital leadership and technological supports,” International Journal of Data and Network Science, vol. 10, no. 1, pp. 151-162, Nov. 2025. https://doi.org/10.5267/j.ijdns.2025.10.006
  4. J. Zhang, Y. Yuan, and J. Liu, “The effect of ethical leadership on employees’ organizational citizenship behavior for the environment,” Human Resources Development of China, vol. 35, no. 2, pp. 19-29, 2018. https://doi.org/10.16471/j.cnki.11-2822/c.2018.02.002
  5. M. P. Florez-Jimenez, A. Lleo, E. McNeely, and P. Ruiz-Palomino, “The Power of Purpose: How Organizational Purpose Strength Enhances Social Well-Being Within Work Teams,” Business Strategy & Development, vol. 8, no. 4, Sep. 2025. https://doi.org/10.1002/bsd2.70216
  6. T. Butler, E. Falk, and A. M. Kleinbaum, “Workplace inclusion: A social network perspective,” Research in Organizational Behavior, vol. 45, p. 100221, Nov. 2025. https://doi.org/10.1016/j.riob.2025.100221
  7. K. Van Nguyen, M. Van Nguyen, and T.-T.-H. Nguyen, “Investigating the impact of internal organizational communication on mental ill health: the role of employees’ sense of belonging,” Engineering Construction & Architectural Management, pp. 1-21, Oct. 2025. https://doi.org/10.1108/ecam-04-2025-0675
  8. X. Chen, E. S. Curtis, J.-H. Chen, G. N. Burns, and D. Theisen, “‘Am I different?’ The unseen divide of communication overaccommodation and its effect on employees’ sense of belonging and job satisfaction,” Management International Review, vol. 66, no. 2, pp. 357-386, Jan. 2026. https://doi.org/10.1007/s11575-025-00600-9
  9. H. H. B. Ploszaj, B. H. R. Fernandes, and J. J. C. Viacava, “The Relationship between Remote Work and Job Satisfaction: A Literature Review,” BAR - Brazilian Administration Review, vol. 22, no. 3, Jan. 2025. https://doi.org/10.1590/1807-7692bar2025250059
  10. M. F. Naim and H. Bulinska-Stangrecka, “Down the Rabbit Hole: Social Media, Workplace Collaboration, Millennial Psychological Need Satisfaction and Affective Commitment in Industry 4.0,” in Thriving in Digital Workspaces, M. Coetzee, Ed., Springer, Cham, 2019, pp. 253-264. https://doi.org/10.1007/978-3-030-24463-7_13
  11. M. He, T. D. P. Thi, T. T. A. Phan, and N. T. Duong, “Why do employees learn artificial intelligence? The influence of motivation and dynamic capabilities,” Journal of Innovation & Knowledge, vol. 15, p. 100992, Mar. 2026. https://doi.org/10.1016/j.jik.2026.100992
  12. C. Lee, O. H. Kim, and H. Lee, “How will automation reshape worker well-being? Evidence from a highly automated economy,” Humanities and Social Sciences Communications, vol. 13, no. 1, Dec. 2025. https://doi.org/10.1057/s41599-025-06418-y
  13. M. Uddin, A. Ali, and A. B. Siddik, “Employment in the digital economy: Role of artificial intelligence and technological innovation,” Technology in Society, vol. 85, p. 103171, Nov. 2025. https://doi.org/10.1016/j.techsoc.2025.103171
  14. N. Tusquellas, R. Palau, and R. Santiago, “Analysis of the potential of artificial intelligence for professional development and talent management: A systematic literature review,” International Journal of Information Management Data Insights, vol. 4, no. 2, p. 100288, Sep. 2024. https://doi.org/10.1016/j.jjimei.2024.100288
  15. H. Jo and D. Shin, “The impact of recognition, fairness, and leadership on employee outcomes: A large-scale multi-group analysis,” PLoS ONE, vol. 20, no. 1, p. e0312951, Jan. 2025. https://doi.org/10.1371/journal.pone.0312951
  16. H. T. Ljungberg et al., “‘Wish you were here’: Managers’ experiences of hybrid work in higher education,” PLoS ONE, vol. 20, no. 12, p. e0339120, Dec. 2025. https://doi.org/10.1371/journal.pone.0339120
  17. K. Mohase, F. Donald, and N. Israel, “Inclusive leadership, psychological safety, and employee voice in remote and hybrid work employees,” South African Journal of Psychology, vol. 55, no. 3, pp. 432-446, Aug. 2025. https://doi.org/10.1177/00812463251365484
  18. A. Wallo, C. Reineholm, H. Öhman, and D. Lundqvist, “Learning-oriented leadership in hybrid work,” Journal of Workplace Learning, vol. 37, no. 9, pp. 152-168, Nov. 2025. https://doi.org/10.1108/jwl-05-2025-0155
  19. S. B. Ünlü and S. K. Varinlioğlu, “Hybrid Working and Leadership: Which Type Functions Better?,” in Managing and Leading in Digital Times, M. Klein, S. B. Ünlü, and M. Z. Çögenli, Eds., Nova Science Publishers, 2025, pp. 133-148. https://doi.org/10.52305/OMIL3316
  20. D. Robu, “Smart working paradigms in a hybrid working era,” European Conference on Knowledge Management, vol. 23, no. 2, pp. 1428-1437, Aug. 2022. https://doi.org/10.34190/eckm.23.2.566
  21. C. Dalessandro and A. Lovell, “The Pandemic-Stratified workplace: workspace, employee sense of belonging, and inequalities at work,” SAGE Open, vol. 14, no. 1, Jan. 2024. https://doi.org/10.1177/21582440241228909
  22. L. Urrila, A. Siiriäinen, L. Mäkelä, and H. Kangas, “Sense of belonging in hybrid work settings,” Journal of Vocational Behavior, vol. 157, p. 104096, Feb. 2025. https://doi.org/10.1016/j.jvb.2025.104096
  23. R. R. Marozva and A.-M. Pelser, “Social Well-Being Strategies for academics working in a hybrid work environment,” Administrative Sciences, vol. 15, no. 9, p. 347, Sep. 2025. https://doi.org/10.3390/admsci15090347
  24. S. M. Hyrynsalmi, F. Broomandi, I. Salman, and M. Paasivaara, “Fostering a Sense of Belonging in Hybrid Work Within Agile Software Development,” in Agile Processes in Software Engineering and Extreme Programming, Lecture Notes in Business Information Processing, vol. 545, pp. 37-51, 2025. https://doi.org/10.1007/978-3-031-94544-1_3
  25. K.-L. Tan, G. C. W. Gim, A. K. S. Sim, T.-Y. Lew, and I. S. H. Hii, “Do back-of-house hospitality hybrid workers in Hong Kong enjoy work–family enrichment? A two-wave study on meaningful work and psychological needs,” Journal of Hospitality and Tourism Insights, vol. 8, no. 11, pp. 221-239, Aug. 2025. https://doi.org/10.1108/jhti-02-2025-0280
  26. O.-P. Heinimäki, H. Toyama, K. Upadyaya, and K. Salmela-Aro, “Satisfied or frustrated? Basic psychological needs profiles and their associations with work-related outcomes among teachers,” Teaching and Teacher Education, vol. 170, p. 105296, Nov. 2025. https://doi.org/10.1016/j.tate.2025.105296
  27. C. A. Jutzi, J. Möller, J. Hansen, J. Klackl, and E. Jonas, “Psychological needs in the built environment,” Journal of Environmental Psychology, vol. 101, p. 102419, Sep. 2024. https://doi.org/10.1016/j.jenvp.2024.102419
  28. M. Van De Casteele, N. Flamant, S. Morbée, D. Van Den Bogaard, and M. Vansteenkiste, “Online and offline need fulfillment seeking: The relation between need crafting profiles, well-being, and social media use,” Computers in Human Behavior, vol. 175, p. 108843, Oct. 2025. https://doi.org/10.1016/j.chb.2025.108843
  29. H. E. Park, “Fulfilled or frustrated? The paradox of generative AI and psychological needs,” Asia Pacific Journal of Information Systems, vol. 35, no. 3, pp. 540-568, Sep. 2025. https://doi.org/10.14329/apjis.2025.35.3.540
  30. P. B. Nayak and I. U. Jagadeeswari, “Organizational performance optimization: An AI-enabled framework for employee compensation and benefits management,” Research in Globalization, vol. 12, p. 100328, 2026. https://doi.org/10.1016/j.resglo.2025.100328
  31. A. Ali, D. Cichoń, and A. Abbas, “AI-driven HRM digitization in effect: Mechanisms, conditions, and employee outcomes,” Journal of Innovation & Knowledge, vol. 13, p. 100919, Jan. 2026. https://doi.org/10.1016/j.jik.2025.100919
  32. M. Islam, “The AI Revolution in HR: Future-proofing Your Workforce,” Emerald Publishing Limited, Nov. 12, 2025. https://doi.org/10.1108/978-1-83662-982-520251001
  33. D. Divya, R. Jain, P. Chetty, V. Siwach, and A. Mathur, “The mediating effect of leadership in artificial intelligence success for employee-engagement,” Management Decision, vol. 63, no. 10, pp. 3676-3699, 2025. https://doi.org/10.1108/md-01-2024-0213
  34. H. M. Alayed and F. T. Awamleh, “Artificial intelligence applications in improving Human Resources Practices: The mediating role of business intelligence Tools,” Economics, vol. 13, no. 4, pp. 241-256, Dec. 2025. https://doi.org/10.2478/eoik-2025-0094
  35. L. K. Jena and S. Pradhan, “Conceptualizing and validating workplace belongingness scale,” Journal of Organizational Change Management, vol. 31, no. 2, pp. 451-462, Feb. 2018. https://doi.org/10.1108/jocm-05-2017-0195
  36. S. Zeike, K. Bradbury, L. Lindert, and H. Pfaff, “Digital Leadership Skills and Associations with Psychological Well-Being,” International Journal of Environmental Research and Public Health, vol. 16, no. 14, p. 2628, Jul. 2019. https://doi.org/10.3390/ijerph16142628
  37. E. L. Deci, R. M. Ryan, M. Gagné, D. R. Leone, J. Usunov, and B. P. Kornazheva, “Need Satisfaction, Motivation, and Well-Being in the work organizations of a former Eastern bloc country: A Cross-Cultural Study of Self-Determination,” Personality and Social Psychology Bulletin, vol. 27, no. 8, pp. 930-942, Aug. 2001. https://doi.org/10.1177/0146167201278002
  38. S. Grassini, “Development and validation of the AI attitude scale (AIAS-4): a brief measure of general attitude toward artificial intelligence,” Frontiers in Psychology, vol. 14, p. 1191628, Jul. 2023. https://doi.org/10.3389/fpsyg.2023.1191628
  39. H. F. Kaiser, “A second generation little jiffy,” Psychometrika, vol. 35, no. 4, pp. 401-415, Dec. 1970. https://doi.org/10.1007/BF02291817
  40. M. S. Bartlett, “Tests of Significance in Factor Analysis,” British Journal of Statistical Psychology, vol. 3, no. 2, pp. 77-85, Jun. 1950. https://doi.org/10.1111/j.2044-8317.1950.tb00285.x
  41. J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “When to use and how to report the results of PLS-SEM,” European Business Review, vol. 31, no. 1, pp. 2-24, Dec. 2018. https://doi.org/10.1108/ebr-11-2018-0203
  42. R. P. Bagozzi and J. R. Edwards, “A general approach for representing constructs in organizational research,” Organizational Research Methods, vol. 1, no. 1, pp. 45-87, Jan. 1998. https://doi.org/10.1177/109442819800100104
  43. J. F. Hair Jr, M. Sarstedt, L. Hopkins, and V. G. Kuppelwieser, “Partial least squares structural equation modeling (PLS-SEM),” European Business Review, vol. 26, no. 2, pp. 106-121, Feb. 2014. https://doi.org/10.1108/ebr-10-2013-0128
  44. J. Henseler, C. M. Ringle, and M. Sarstedt, “A new criterion for assessing discriminant validity in variance-based structural equation modeling,” Journal of the Academy of Marketing Science, vol. 43, no. 1, pp. 115-135, 2015. https://doi.org/10.1007/s11747-014-0403-8
  45. K. J. Preacher and A. F. Hayes, “SPSS and SAS procedures for estimating indirect effects in simple mediation models,” Behavior Research Methods, vol. 36, no. 4, pp. 717-731, 2004. https://doi.org/10.3758/BF03206553
  46. B. Schuldt and M. Gabel, “Creating sense of belonging: the roles of leadership and social capital,” Academy of Management Proceedings, vol. 2023, no. 1, Jul. 2023. https://doi.org/10.5465/amproc.2023.14875abstract
  47. D. Koo and J. Ko, “The Structural Relationship between Emotional Leadership, Rapport, Sense of Belonging and Workplace Happiness in Hotel Organizations,” FoodService Industry Journal, vol. 19, no. 3, pp. 251-265, 2023. https://doi.org/10.22509/kfsa.2023.19.3.017
  48. C. Hood and R. Patton, “Exploring the role of psychological need fulfilment on stress, job satisfaction and turnover intention in support staff working in inpatient mental health hospitals in the NHS: a self-determination theory perspective,” Journal of Mental Health, vol. 31, no. 5, pp. 692-698, Sep. 2021. https://doi.org/10.1080/09638237.2021.1979487
  49. T. Jacob and V. H. Kumar, “Exploring the role of AI tools in mediating job satisfaction and employee engagement in remote work contexts,” OPSEARCH, Jun. 2026. https://doi.org/10.1007/s12597-026-01228-5
  50. J. Alwali and W. Alwali, “Linking AI-driven HRM and emotional intelligence to leadership effectiveness and employee performance,” Leadership & Organization Development Journal, vol. 47, no. 3, pp. 477-497, Aug. 2025. https://doi.org/10.1108/lodj-05-2025-0358
  51. Z. A. Parray and J. Iqbal, “AI-oriented leadership and employee outcomes: unpacking the roles of work meaningfulness and trust in AI,” Leadership & Organization Development Journal, vol. 47, no. 6, pp. 1075-1091, Apr. 2026. https://doi.org/10.1108/lodj-08-2025-0719
×

© 2026 The Author(s). Published by IJERESM. This work is licensed under the Creative Commons Attribution 4.0 International License.

Archiving: All articles are permanently archived in Zenodo IJERESM Community.