COMPETENCY MAPPING FOR MANAGERIAL CANDIDATES IN THE AGE OF ARTIFICIAL INTELLIGENCE: A THEORETICAL FRAMEWORK FROM THE PERSPECTIVES OF EDUCATIONAL SCIENCES AND BUSINESS ADMINISTRATION

Abstract

The accelerating diffusion of artificial intelligence (AI) technologies into organizational life is fundamentally reconfiguring the competency requirements for managerial roles. This paper develops a theoretically grounded competency mapping framework for managerial candidates operating at the intersection of educational sciences and business administration. Drawing on human capital theory, transformative learning, complexity leadership theory, social cognitive theory, dynamic capabilities, and contemporary AI literacy frameworks, we synthesize a multi-domain competency architecture comprising six interdependent clusters: cognitive and analytical, digital and technological, leadership and strategic, interpersonal and social, ethical and responsible, and learning agility. We further examine how AI-mediated pedagogical tools including intelligent tutoring systems, generative AI platforms, simulation environments, and learning analytics can be leveraged to develop, assess, and continuously refine these competencies in management education contexts. The framework addresses a critical gap in the literature by offering an integrative model that acknowledges both the enduring importance of human-centered managerial capacities and the emergent demands imposed by AI augmentation. Implications for curriculum design, executive development programs, and organizational talent management are discussed, alongside an agenda for future empirical research.

Keywords: Competency mapping, artificial intelligence, management education, leadership development, AI literacy, educational sciences, human capital.

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