THEORETICAL FOUNDATIONS OF LEADERSHIP CAPITAL FORMATION IN A CORPORATE ENVIRONMENT
Abstract
The primary objective of the article is to comprehensively substantiate the theoretical and methodological foundations for the formation of a company's leadership capital as a specific, measurable strategic asset within the framework of the Resource-Based View (RBV). Methodology. The research is based on a strategic synthesis of the RBV and neo-institutional economics, incorporating modern macro-environmental analytics. The study applies methods of evolutionary, comparative, and systemic analysis to investigate the transformation of management paradigms, along with structural-functional analysis to design the conceptual model of leadership capital. Results. Under conditions of macroeconomic uncertainty and technological transformation, the limitations of traditional administrative management methods are highlighted, and the transition to a "competent organization" is justified. Specifically, leadership capital is defined as an accumulated strategic asset comprising three interrelated elements: individual skills, relationships, and reputation. The paper conceptualizes leadership capital as an accumulated, causally ambiguous asset that confers a sustained competitive advantage, protected from external imitation by time-compression diseconomies. The study demonstrates the value of combining macro-level resource assessment (the VRIO model) with a micro-level psychometric model (5Q) to objectively measure managers' leadership potential. The synergy of cognitive (IQ), emotional (EQ), political (PQ), resilience (RQ), and moral (MQ) intelligence is detailed as crucial for ensuring organizational resilience, particularly during the expansion of generative artificial intelligence. Furthermore, corporate culture is defined as a rationally managed institutional matrix that minimizes transaction costs through "clan" mechanisms of internal trust. Conclusions. The study proposes a conceptual model of leadership capital, demonstrating the integration of multi-dimensional intelligence, an institutional matrix, and a sustainable competitive advantage. Future research will focus on the empirical verification of this model using Assessment Center technology and PLS-SEM modeling.
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