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Artificial Intelligence, Transformational Leadership, and Job Performance: Mediating Role of Job Engagement and Moderating Role of Work Passion
Abstract
This study investigates the relationships among Artificial Intelligence (AI), perceived usefulness of AI, transformational leadership, job engagement, and job performance, with the moderating role of work passion. Drawing on the Job Demands–Resources (JD–R) model and the Technology Acceptance Model (TAM), the study proposes a research model explaining how technological and leadership resources jointly influence employee performance in the context of digital transformation. A quantitative approach was employed, with data collected through an online survey of 345 employees at five leading joint-stock commercial banks in Vietnam. Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to test the proposed hypotheses. The findings reveal that perceived usefulness of AI is the strongest indirect predictor of job performance through the mediating role of job engagement. The results also confirm that transformational leadership significantly enhances employee engagement, particularly through inspirational motivation and individualized consideration. Artificial Intelligence, as an organizational resource, further strengthens engagement by reducing workload and supporting decision-making processes. Furthermore, work passion plays a moderating role in the relationship between job engagement and job performance, with harmonious passion amplifying this relationship while obsessive passion may reduce its marginal effect. These findings highlight the importance of integrating AI applications with effective leadership practices to foster employee engagement and improve job performance in modern digital organizations.
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M. Abbasi, M. R. Monazzam, M. Karanika-Murray, M. Shamsipour, and H. Arabalibeik, "Development and validation of an individual job performance questionnaire (IJPQ)," Work, vol. 73, no. 1, pp. 309–320, 2022. [Online]. Available: https://doi.org/10.3233/WOR-211004
B. Afsar, Y. F. Badir, B. B. Saeed, and S. Hafeez, "Transformational and transactional leadership and employee’s entrepreneurial behavior in knowledge–intensive industries," International Journal of Human Resource Management, vol. 28, no. 2, pp. 307–332, 2017. [Online]. Available: https://doi.org/10.1080/09585192.2016.1244893
A. Agrawal, J. Gans, and A. Goldfarb, Eds., The economics of artificial intelligence: An agenda. Chicago: University of Chicago Press, 2019. [Online]. Available: https://www.google.com/books/edition/_/3_mEDwAAQBAJ
D. W. Ariani, "The relationship between employee engagement, organizational citizenship behavior, and counterproductive work behavior," International Journal of Business Administration, vol. 4, no. 2, pp. 46–56, 2013. [Online]. Available: https://doi.org/10.5430/ijba.v4n2p46
B. E. Ashforth and R. H. Humphrey, "Emotion in the workplace: A reappraisal," Human Relations, vol. 48, pp. 97–125, 1995.
A. B. Bakker, E. Demerouti, and A. I. Sanz-Vergel, "Burnout and work engagement: The JD–R approach," Annual Review of Organizational Psychology and Organizational Behavior, vol. 1, pp. 389–411, 2014.
B. M. Bass and R. Bass, The Bass handbook of leadership: Theory, research, and managerial applications, 4th ed. New York: Free Press, 2008.
B. M. Bass and B. J. Avolio, Multifactor leadership questionnaire: Manual and sampler set, 3rd ed. Redwood City, CA: Mind Garden, 2004.
N. Berente, B. Gu, J. Recker, and R. Santanam, "Managing artificial intelligence," MIS Quarterly, vol. 45, no. 3, 2021. [Online]. Available: https://doi.org/10.25300/MISQ/2021/16274
K. Breevaart et al., "Daily transactional and transformational leadership and daily employee engagement," Journal of Occupational and Organizational Psychology, vol. 87, no. 1, pp. 138–157, 2014.
C. Cabrita and A. P. Duarte, "Passionately demanding: Work passion’s role in the relationship between work demands and affective well-being at work," Frontiers in Psychology, vol. 14, Art. no. 1053455, 2023. [Online]. Available: https://doi.org/10.3389/fpsyg.2023.1053455
N. Carbonneau, R. J. Vallerand, C. Fernet, and F. Guay, "The role of passion for teaching in intrapersonal and interpersonal outcomes," Journal of Educational Psychology, vol. 100, pp. 977–987, 2008. [Online]. Available: https://doi.org/10.1037/a0012545
R. Chaudhuri, S. Chatterjee, D. Vrontis, and A. Thrassou, "Adoption of robust business analytics for product innovation and organizational performance: The mediating role of organizational data-driven culture," Annals of Operations Research, vol. 23, no. 5, pp. 1–35, 2021. [Online]. Available: https://doi.org/10.1007/s10479-021-04407-3
D. Chen, J. P. Esperança, and S. Wang, "The impact of artificial intelligence on firm performance: An application of the resource-based view to e-commerce firms," Frontiers in Psychology, vol. 13, Art. no. 884830, 2022. [Online]. Available: https://doi.org/10.3389/fpsyg.2022.884830
X. P. Chen, X. Yao, and S. Kotha, "Entrepreneur passion and preparedness in business plan presentations: A persuasion analysis of venture capitalists' funding decisions," Academy of Management Journal, vol. 52, pp. 199–214, 2009.
M. S. Christian, A. S. Garza, and J. E. Slaughter, "Work engagement: A quantitative review and test of its relations with task and contextual performance," Personnel Psychology, vol. 64, pp. 89–136, 2011.
L. Cicero, A. Russo, G. Di Stefano, and A. Zammitti, "The General Attitudes towards Artificial Intelligence Scale (GAAIS): Validation and psychometric properties analysis in the Italian context," BMC Psychology, vol. 13, p. 641, 2025. [Online]. Available: https://doi.org/10.1186/s40359-025-02935-2
A. Corbeanu and D. Iliescu, "The link between work engagement and job performance: A meta-analysis," Journal of Personnel Psychology, vol. 22, no. 3, pp. 111–122, 2023. [Online]. Available: https://doi.org/10.1027/1866-5888/a000316
F. D. Davis, "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS Quarterly, vol. 13, no. 3, pp. 319–340, 1989. [Online]. Available: https://doi.org/10.2307/249008
A. Estherita and V. Shanmugam, "Influence of artificial intelligence on transformational leadership," in AIP Conference Proceedings, vol. 3112, no. 1, 2024. [Online]. Available: https://doi.org/10.1063/example
S. Faraj, S. Pachidi, and K. Sayegh, "Working and organizing in the age of the learning algorithm," Information and Organization, vol. 28, no. 1, pp. 62–70, 2018. [Online]. Available: https://doi.org/10.1016/j.infoandorg.2018.02.005
J. Forest, G. A. Mageau, C. Sarrazin, and E. M. Morin, "“Work is my passion”: The different affective, behavioural, and cognitive consequences of harmonious and obsessive passion toward work," Canadian Journal of Administrative Sciences, vol. 28, pp. 27–40, 2011. [Online]. Available: https://doi.org/10.1002/cjas.170
N. Gillespie, S. Lockey, and C. Curtis, "Trust in artificial intelligence: A five country study," The University of Queensland and KPMG Australia, 2021. [Online]. Available: https://doi.org/10.14264/e34bfa3
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, Art. no. 1191628, 2023. [Online]. Available: https://doi.org/10.3389/fpsyg.2023.1191628
J. F. Hair, G. T. M. Hult, C. M. Ringle, and M. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM), 2nd ed. Thousand Oaks, CA: Sage Publications, 2017.
N. P. Handayani, "Transformational leadership and employee engagement as a determinant of organizational citizenship behavior: Case study on youth non-profit organization," International Journal of Social Science and Humanity, vol. 8, no. 2, pp. 59–64, 2018. [Online]. Available: https://doi.org/10.18178/ijssh.2018.8.2.934
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, pp. 115–135, 2015. [Online]. Available: https://doi.org/10.1007/s11747-014-0403-8
H. Hetland, J. Hetland, C. S. Andreassen, S. Pallesen, and G. Notelaers, "Leadership and fulfillment of the three basic psychological needs at work," Career Development International, vol. 16, no. 5, pp. 507–523, 2011. [Online]. Available: https://doi.org/10.1108/13620431111168903
V. T. Ho, S.-S. Wong, and C. H. Lee, "A tale of passion: Linking job passion and cognitive engagement to employee work performance," Journal of Management Studies, vol. 48, no. 1, pp. 26–47, 2011. [Online]. Available: https://doi.org/10.1111/j.1467-6486.2009.00878.x
A. L. Holten and S. O. Brenner, "Leadership style and the process of organizational change," Leadership & Organization Development Journal, vol. 36, no. 1, pp. 2–16, 2015. [Online]. Available: https://doi.org/10.1108/LODJ-11-2012-0155
G. K. Iangat, T. K. Linge, and D. Sikalieh, "Influence of inspirational motivation of employee job performance in the insurance industry in Kenya," International Journal of Research in Business and Social Science, vol. 8, no. 6, pp. 1–7, 2019. [Online]. Available: https://doi.org/10.20525/ijrbs.v8i6.488
A. Jumde, I. Hazarika, and V. Akre, "Challenges and opportunities in integrating rapidly changing technologies in business curriculum," in International Conference on Computational Intelligence and Knowledge Economy, vol. 9, pp. 203–208, 2023. [Online]. Available: https://doi.org/10.1109/iccike58312.2023.10131683
W. A. Kahn, "Psychological conditions of personal engagement and disengagement at work," Academy of Management Journal, vol. 33, no. 4, pp. 692–724, 1990.
A. Kannan and V. S. Msila, "The effect of artificial intelligence on employee engagement: A systematic literature review," Journal of Business Research, vol. 140, pp. 404–421, 2021.
P. Kaur, K. Malhotra, and S. K. Sharma, "Moderation–mediation framework connecting internal branding, affective commitment, employee engagement and job satisfaction: An empirical study of BPO employees in Indian context," Asia-Pacific Journal of Business Administration, vol. 12, no. 3/4, pp. 327–348, 2020. [Online]. Available: https://doi.org/10.1108/APJBA-10-2019-0217
K. C. Kellogg, M. A. Valentine, and A. Christin, "Algorithms at work: The new contested terrain of control," Academy of Management Annals, vol. 14, no. 1, pp. 366–410, 2020.
G. Kostopoulos, G. Davrazos, and S. Kotsiantis, "Explainable artificial intelligence based decision support systems: A recent review," Electronics, vol. 13, Art. no. 2842, 2024. [Online]. Available: https://doi.org/10.3390/electronics13142842
J. Meijerink, M. Boons, A. Keegan, and J. Marler, "Algorithmic human resource management: Synthesizing developments and cross disciplinary insights on digital HRM," International Journal of Human Resource Management, vol. 32, no. 12, pp. 2545–2562, 2021. [Online]. Available: https://doi.org/10.1080/09585192.2021.1925326
Michael Page Vietnam, "AI revolution: 2 in 5 Vietnamese workers embracing cutting edge AI tools," Michael Page Vietnam, 2024. [Online]. Available: https://www.michaelpage.com.vn/about-us/media-releases/ai-revolution-2-5-vietnamese-workers-embracing-cutting-edge-ai-tools. [Accessed: Jul. 25, 2025].
S. J. Motowidlo, W. C. Borman, and M. J. Schmit, "A theory of individual differences in task and contextual performance," Human Performance, vol. 10, pp. 71–83, 1997.
T. N. Nguyen, "The relationship between work stress, job performance, and work motivation," Yersin Journal of Science, vol. 5, no. 8, 2019.
X. N. Nguyen and Q. H. Pham, "Applying artificial intelligence to foster employee creativity and engagement to improve work performance: A case study at PV GAS LPG," Journal of Economics and Forecasting, 2025. [Online]. Available: https://kinhtevadubao.vn/ung-dung-tri-tue-nhan-tao-nham-thuc-day-su-sang-tao-va-gan-ket-cua-nhan-vien-de-nang-cao-hieu-qua-cong-viec-nghien-cuu-tai-pv-gas-lpg-31229.html. [Accessed: Jul. 25, 2025].
P. G. Northouse, Leadership: Theory and practice. Thousand Oaks, CA: SAGE, 2019.
B. L. Rich, J. A. Lepine, and E. R. Crawford, "Job engagement: Antecedents and effects on job performance," Academy of Management Journal, vol. 53, no. 3, pp. 617–635, 2010. [Online]. Available: https://doi.org/10.5465/amj.2010.51468988
W. B. Schaufeli, M. Salanova, V. González-Romá, and A. B. Bakker, "The measurement of engagement and burnout: A two sample confirmatory factor analytic approach," Journal of Happiness Studies, vol. 3, no. 1, pp. 71–92, 2002.
A. Schepman and P. Rodway, "Initial validation of the general attitudes towards artificial intelligence scale," Computers in Human Behavior Reports, vol. 1, Art. no. 100014, 2020. [Online]. Available: https://doi.org/10.1016/j.chbr.2020.100014
Z. Soltani, B. Zareie, L. Rajabiun, and A. A. M. Fashami, "The effect of knowledge management, e-learning systems and organizational learning on organizational intelligence," Kybernetes, vol. 49, no. 10, pp. 2455–2474, 2020. [Online]. Available: https://doi.org/10.1108/K-12-2018-0672
S. Subhadarshini, "Building leadership in the artificial intelligence era: An overview," Journal of Basic Science, 2024. [Online]. Available: https://doi.org/10.37896/JBSV24.5/3091
Syaifuddin, "The influence of work stress and transformational leadership on work motivation and implication of employee’s performance (case study)," Academy of Strategic Management Journal, vol. 15, no. 1, pp. 42–48, 2016.
K. Szczepańska-Woszczyna and J. Kurowska-Pysz, "Sustainable business development through leadership in SMEs," Ekonomia i Zarządzanie, vol. 8, no. 3, pp. 57–69, 2016. [Online]. Available: https://doi.org/10.1515/emj-2016-0024
R. J. Vallerand et al., "Les passions de l’âme: On obsessive and harmonious passion," Journal of Personality and Social Psychology, vol. 85, no. 4, pp. 756–767, 2003. [Online]. Available: https://doi.org/10.1037/0022-3514.85.4.756
V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, "User acceptance of information technology: Toward a unified view," MIS Quarterly, vol. 27, pp. 425–478, 2003. [Online]. Available: https://doi.org/10.2307/30036540
DOI: https://doi.org/10.47738/jads.v7i2.1266
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