2.5

CiteScore

8.8

Global Impact Factor

Human-Centred Technology Management Through Art-Based Learning: A Conceptual Framework for Responsible AI Adoption, Human Skills and Organizational Well-Being


Paper ID: EIJTEM_2026_13_2_263-282

Author's Name: Dr. Ignacio Bonasa Alzuria

Volume: 13

Issue: 2

Year: 2026

Page No: 263-282

Abstract:

The acceleration of artificial intelligence, automation and data-driven management has created a strategic paradox for organizations: technology is increasingly powerful, yet its value depends on distinctly human capabilities such as judgement, creativity, empathy, ethical discernment, collaborative learning and emotional regulation. Traditional technology management often treats adoption as a technical, financial or process-based challenge, leaving the human dimension as a secondary variable. This article proposes an integrated conceptual framework for human-centred technology management through art-based learning. Drawing on socio-technical systems theory, experiential learning, organizational learning, responsible AI governance, emotional intelligence, psychological safety, design thinking and positive organizational scholarship, the paper argues that art-based learning can operate as a rigorous managerial technology for developing Human Skills in contexts of digital transformation. The proposed framework connects five pillars: responsible technology governance, embodied and aesthetic learning, Human Skills development, organizational well-being and evidence-informed implementation. The article develops a six-stage roadmap for application in organizations and management education, proposes measurable indicators, and formulates research propositions for future empirical validation. Its core contribution is to reposition art not as a decorative corporate activity but as a structured learning medium capable of improving the quality of technology adoption, strengthening ethical awareness, reducing resistance to change and supporting well-being in high-complexity environments. The paper concludes that the next frontier of technology, engineering and management is not only smarter systems, but wiser organizations capable of aligning technological progress with human dignity, social responsibility and sustainable performance.

Keywords: responsible AI; technology management; art-based learning; Human Skills; organizational well-being; digital transformation; leadership; socio-technical systems; experiential learning.

References:

Adler, N. J. (2006). The arts and leadership: Now that we can do anything, what will we do? Academy of Management Learning & Education, 5(4), 486–499.
Aguinis, H., & Kraiger, K. (2009). Benefits of training and development for individuals and teams, organizations, and society. Annual Review of Psychology, 60, 451–474.
Amabile, T. M. (1996). Creativity in context: Update to the social psychology of creativity. Westview Press.
Amabile, T. M., & Pratt, M. G. (2016). The dynamic componential model of creativity and innovation in organizations. Research in Organizational Behavior, 36, 157–183.
Argyris, C., & Schön, D. A. (1978). Organizational learning: A theory of action perspective. Addison-Wesley.
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.
Bandura, A. (1977). Social learning theory. Prentice Hall.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice Hall.
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.
Bass, B. M., & Riggio, R. E. (2006). Transformational leadership (2nd ed.). Lawrence Erlbaum Associates.
Bateson, G. (1972). Steps to an ecology of mind. University of Chicago Press.
Bennett, N., & Lemoine, G. J. (2014). What VUCA really means for you. Harvard Business Review, 92(1/2), 27.
Bolman, L. G., & Deal, T. E. (2017). Reframing organizations: Artistry, choice, and leadership (6th ed.). Jossey-Bass.
Boyatzis, R. E. (2008). Competencies in the 21st century. Journal of Management Development, 27(1), 5–12.
Brown, J. S., & Duguid, P. (1991). Organizational learning and communities-of-practice. Organization Science, 2(1), 40–57.
Brown, T., & Wyatt, J. (2010). Design thinking for social innovation. Stanford Social Innovation Review, 8(1), 30–35.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton.
Cameron, K. S. (2012). Positive leadership: Strategies for extraordinary performance (2nd ed.). Berrett-Koehler.
Cameron, K. S., & Quinn, R. E. (2011). Diagnosing and changing organizational culture: Based on the competing values framework (3rd ed.). Jossey-Bass.
Checkland, P. (1999). Systems thinking, systems practice: Includes a 30-year retrospective. Wiley.
Crossan, M. M., Lane, H. W., & White, R. E. (1999). An organizational learning framework: From intuition to institution. Academy of Management Review, 24(3), 522–537.
Damasio, A. R. (1994). Descartes’ error: Emotion, reason, and the human brain. Putnam.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
Deci, E. L., & Ryan, R. M. (2000). The what and why of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268.
Dewey, J. (1934). Art as experience. Minton, Balch & Company.
Dewey, J. (1938). Experience and education. Macmillan.
Edmondson, A. C. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–383.
Edmondson, A. C. (2019). The fearless organization: Creating psychological safety in the workplace for learning, innovation, and growth. Wiley.
Eisner, E. W. (2002). The arts and the creation of mind. Yale University Press.
European Commission High-Level Expert Group on Artificial Intelligence. (2019). Ethics guidelines for trustworthy AI. European Commission.
European Parliament and Council of the European Union. (2024). Regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union.
Fineman, S. (2000). Emotion in organizations (2nd ed.). Sage.
Gardner, H. (1993). Multiple intelligences: The theory in practice. Basic Books.
Goleman, D. (1995). Emotional intelligence. Bantam Books.
Goleman, D. (1998). Working with emotional intelligence. Bantam Books.
Grant, A. M. (2007). Relational job design and the motivation to make a prosocial difference. Academy of Management Review, 32(2), 393–417.
Hassard, J., Teoh, K., Cox, T., & Dewe, P. (2018). Mental health and work-related stress. In M. Karanika-Murray & C. Biron (Eds.), Derailed organizational interventions for stress and well-being. Springer.
Heifetz, R., Grashow, A., & Linsky, M. (2009). The practice of adaptive leadership. Harvard Business Press.
International Organization for Standardization. (2021). ISO 45003:2021 Occupational health and safety management—Psychological health and safety at work—Guidelines for managing psychosocial risks. ISO.
International Organization for Standardization. (2023). ISO/IEC 42001:2023 Information technology—Artificial intelligence—Management system. ISO.
Kegan, R., & Lahey, L. L. (2009). Immunity to change. Harvard Business Press.
Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hall.
Kotter, J. P. (1996). Leading change. Harvard Business School Press.
Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press.
Liedtka, J. (2015). Perspective: Linking design thinking with innovation outcomes through cognitive bias reduction. Journal of Product Innovation Management, 32(6), 925–938.
Mayer, J. D., Roberts, R. D., & Barsade, S. G. (2008). Human abilities: Emotional intelligence. Annual Review of Psychology, 59, 507–536.
Mezirow, J. (1991). Transformative dimensions of adult learning. Jossey-Bass.
Mintzberg, H. (2004). Managers not MBAs. Berrett-Koehler.
Mintzberg, H. (2009). Managing. Berrett-Koehler.
National Institute of Standards and Technology. (2023). Artificial intelligence risk management framework (AI RMF 1.0). U.S. Department of Commerce.
Nicolini, D. (2012). Practice theory, work, and organization: An introduction. Oxford University Press.
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company. Oxford University Press.
Organisation for Economic Co-operation and Development. (2019). OECD principles on artificial intelligence. OECD.
Oswick, C., Anthony, P., Keenoy, T., & Mangham, I. L. (2002). A dialogic analysis of organizational learning. Journal of Management Studies, 37(6), 887–902.
Pink, D. H. (2009). Drive: The surprising truth about what motivates us. Riverhead Books.
Reason, J. (1997). Managing the risks of organizational accidents. Ashgate.
Scharmer, C. O. (2009). Theory U: Leading from the future as it emerges. Berrett-Koehler.
Schein, E. H. (2010). Organizational culture and leadership (4th ed.). Jossey-Bass.
Schiuma, G. (2011). The value of arts for business. Cambridge University Press.
Schön, D. A. (1983). The reflective practitioner: How professionals think in action. Basic Books.
Seligman, M. E. P. (2011). Flourish: A visionary new understanding of happiness and well-being. Free Press.
Senge, P. M. (1990). The fifth discipline: The art and practice of the learning organization. Doubleday.
Shalley, C. E., Zhou, J., & Oldham, G. R. (2004). The effects of personal and contextual characteristics on creativity. Journal of Management, 30(6), 933–958.
Simon, H. A. (1969). The sciences of the artificial. MIT Press.
Spreitzer, G. M. (1995). Psychological empowerment in the workplace. Academy of Management Journal, 38(5), 1442–1465.
Suchman, L. A. (1987). Plans and situated actions: The problem of human-machine communication. Cambridge University Press.
Taylor, S. S., & Ladkin, D. (2009). Understanding arts-based methods in managerial development. Academy of Management Learning & Education, 8(1), 55–69.
Teece, D. J. (2007). Explicating dynamic capabilities. Strategic Management Journal, 28(13), 1319–1350.
Tsoukas, H., & Chia, R. (2002). On organizational becoming: Rethinking organizational change. Organization Science, 13(5), 567–582.
Van de Ven, A. H. (2007). Engaged scholarship: A guide for organizational and social research. Oxford University Press.
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 28(2), 118–144.
Weick, K. E. (1995). Sensemaking in organizations. Sage.
Westerman, G., Bonnet, D., & McAfee, A. (2014). Leading digital: Turning technology into business transformation. Harvard Business Review Press.
World Health Organization. (2022). Guidelines on mental health at work. World Health Organization.
Yukl, G., & Gardner, W. L. (2020). Leadership in organizations (9th ed.). Pearson.
Zuboff, S. (2019). The age of surveillance capitalism. PublicAffairs.

View PDF