The Impact of Emotional Intelligence Among Project Managers on Reducing Resistance to Change in Digital Transformation Projects
DOI:
https://doi.org/10.69996/jsihs.2026013Keywords:
Emotional Intelligence, Project Management, Digital Transformation, Resistance To Change, Employee EngagementAbstract
Digital transformation changes organizational processes, roles, and expectations, creating demands that extend beyond technology implementation. Employee resistance may reflect uncertainty, perceived losses, limited participation, or concerns about the change process. This paper examines the role of project managers’ emotional intelligence (EI) in responding to these challenges through a behavioral leadership framework. It brings together literature on emotional intelligence, project leadership, organizational change, and technostress. The framework identifies emotional perception, empathy, adaptive communication, and emotional regulation as pathways that may influence trust, change acceptance, and engagement stability. The study combines quantitative survey responses with behavioral simulation across organizational transformation scenarios. The results indicate 38% lower resistance, a 31% improvement in an adoption-related outcome, 26% fewer behavioral conflicts, 22% lower turnover intention, and 35% greater perceived leadership trust. Adoption rate and time to adoption represent distinct evaluation dimensions. Interpretation depends on sample characteristics, measurement instruments, comparison baselines, and analysis procedures. These factors influence the applicability of the findings across organizations, and the percentage changes should not be interpreted as established causal effects. The literature supports examining emotionally informed leadership alongside clear planning, relevant training, employee participation, and organizational support. Resistance is considered a possible source of legitimate implementation feedback as well as a response to uncertainty. The contribution is an integrated framework and an evaluation agenda linking leadership capabilities with employee responses to technological change. The findings suggest that emotional capabilities merit attention alongside technical readiness in transformation planning. Further research should distinguish adoption rate from time to adoption, use validated measures, and assess the proposed relationships across transformation phases and organizational settings.
References
[1] G. Vial, “Understanding digital transformation: A review and a research agenda,” J. Strategic Inf. Syst., vol. 28, no. 2, pp. 118–144, 2019.
[2] S. Oreg, “Personality, context, and resistance to organizational change,” Eur. J. Work Organ. Psychol., vol. 15, no. 1, pp. 73–101, 2006.
[3] J. D. Ford, L. W. Ford, and A. D’Amelio, “Resistance to change: The rest of the story,” Acad. Manage. Rev., vol. 33, no. 2, pp. 362–377, 2008.
[4] S. K. Piderit, “Rethinking resistance and recognizing ambivalence: A multidimensional view of attitudes toward an organizational change,” Acad. Manage. Rev., vol. 25, no. 4, pp. 783–794, 2000.
[5] P. Malhotra, “Navigating stress in private higher education colleges: Faculty workload, coping strategies and work life balance,” J. Comput. Educ. Sports Health (JCESH), vol. 2, no. 2, pp. 61–69, 2025.
[6] N. Clarke, “Emotional intelligence and its relationship to transformational leadership and key project manager competences,” Proj. Manage. J., vol. 41, no. 2, pp. 5–20, 2010.
[7] A. Rezvani, A. Chang, A. Wiewiora, N. M. Ashkanasy, P. J. Jordan and R. Zolin, “Manager emotional intelligence and project success: The mediating role of job satisfaction and trust,” Int. J. Project Manage., vol. 34, no. 7, pp. 1112–1122, 2016.
[8] J. D. Mayer and P. Salovey, “What is emotional intelligence?” in Emotional Development and Emotional Intelligence: Educational Implications, P. Salovey and D. J. Sluyter, Eds. New York, NY, USA: Basic Books, 1997, pp. 3–31.
[9] J. M. George, “Emotions and leadership: The role of emotional intelligence,” Hum. Relat., vol. 53, no. 8, pp. 1027–1055, 2000.
[10] J. D. Mayer, P. Salovey, and D. R. Caruso, “Emotional intelligence: Theory, findings, and implications,” Psychol. Inq., vol. 15, no. 3, pp. 197–215, 2004.
[11] T. Ertiö, T. Eriksson, W. Rowan, and S. McCarthy, “The role of digital leaders’ emotional intelligence in mitigating employee technostress,” Bus. Horiz., vol. 67, no. 4, pp. 399– 409, 2024.
[12] M. Tarafdar, C. L. Cooper, and J. F. Stich, “The technostress trifecta—techno eustress, techno distress and design: Theoretical directions and an agenda for research,” Inf. Syst. J., vol. 29, no. 1, pp. 6–42, 2019.
[13] M. Issah, “Change leadership: The role of emotional intelligence,” SAGE Open, vol. 8, no. 3, 2018.
[14] G. Görgens-Ekermans and C. Roux, “Revisiting the emotional intelligence and transformational leadership debate: (How) does emotional intelligence matter to effective leadership?” SA J. Hum. Resour. Manage., vol. 19, 2021.
[15] S. Oreg, M. Vakola, and A. Armenakis, “Change recipients’ reactions to organizational change: A 60-year review of quantitative studies,” J. Appl. Behav. Sci., vol. 47, no. 4, pp. 461–524, 2011.
[16] J. P. Kotter, Leading Change. Boston, MA, USA: Harvard Business School Press, 1996.
[17] K. Lewin, Field Theory in Social Science: Selected Theoretical Papers, D. Cartwright, Ed. New York, NY, USA: Harper & Brothers, 1951.
[18] N. Ferres and J. Connell, “Emotional intelligence in leaders: An antidote for cynicism towards change?” Strategic Change, vol. 13, no. 2, pp. 61–71, 2004.
[19] M. Vakola, I. Tsaousis, and I. Nikolaou, “The role of emotional intelligence and personality variables on attitudes toward organisational change,” J. Manage. Psychol., vol. 19, no. 2, pp. 88–110, 2004.
[20] M. Semwal, J. Vasanthi Devi, L. S. Tumepalli, S. Tehazeeb, and G. O. Rithin, “The impact of remote work on employee productivity in IT sector: An analysis of Andhra Pradesh region,” Int. J. Adv. Res. Innov. (IJARI), vol. 12, no. 4, pp. 48–52, 2024.
[21] A. A. Armenakis, S. G. Harris, and K. W. Mossholder, “Creating readiness for organizational change,” Hum. Relat., vol. 46, no. 6, pp. 681–703, 1993.
[22] D. T. Holt, A. A. Armenakis, H. S. Feild, and S. G. Harris, “Readiness for organizational change: The systematic development of a scale,” J. Appl. Behav. Sci., vol. 43, no. 2, pp. 232–255, 2007.
[23] F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quart., vol. 13, no. 3, pp. 319–340, 1989.
[24] V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of information technology: Toward a unified view,” MIS Quart., vol. 27, no. 3, pp. 425–478, 2003.
[25] R. E. Boyatzis and A. McKee, Resonant Leadership: Renewing Yourself and Connecting with Others through Mindfulness, Hope, and Compassion. Boston, MA, USA: Harvard Business School Press, 2005.
[26] D. Goleman, R. Boyatzis, and A. McKee, Primal Leadership: Unleashing the Power of Emotional Intelligence, updated ed. Boston, MA, USA: Harvard Business Review Press, 2013.
[27] U. Warrier, A. Shankar, and H. M. Belal, “Examining the role of emotional intelligence as a moderator for virtual communication and decision-making effectiveness during the COVID-19 crisis: Revisiting task technology fit theory,” Ann. Oper. Res., vol. 335, no. 3, pp. 1519–1535, 2024.
[28] J. A. R. Awad and R. Martín-Rojas, “Digital transformation influence on organisational resilience through organisational learning and innovation,” J. Innov. Entrepreneurship, vol. 13, no. 69, 2024.
[29] C.-S. Wong and K. S. Law, “The effects of leader and follower emotional intelligence on performance and attitude: An exploratory study,” Leadership Quart., vol. 13, no. 3, pp. 243–274, 2002.
[30] A. Edmondson, “Psychological safety and learning behavior in work teams,” Admin. Sci. Quart., vol. 44, no. 2, pp. 350–383, 1999.
[31] P. M. Podsakoff, S. B. MacKenzie, J.-Y. Lee, and N. P. Podsakoff, “Common method biases in behavioral research: A critical review of the literature and recommended remedies,” J. Appl. Psychol., vol. 88, no. 5, pp. 879–903, 2003, doi: 10.1037/0021- 9010.88.5.
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