A Yin-Yang Framework for Cross-Cultural Knowledge Management: Integrating AI and Human Intelligence through Peter Drucker’s Principles

Abstract

The demands of a globalized economy challenge organizations to manage knowledge effectively across diverse cultural landscapes. Traditional knowledge management (KM) systems prioritize efficiency but often lack the cultural adaptability and ethical flexibility required in multicultural contexts. Drawing from Peter Drucker’s management philosophy, this paper introduces a Yin-Yang framework for cross-cultural KM, merging the structured capabilities of artificial intelligence (AI) with the adaptive, ethically guided insights of human intelligence. In this model, AI functions as the “Yin” component, delivering scalable, consistent processing, while human intelligence embodies the “Yang” element, contributing cultural sensitivity and ethical discernment. Synthesizing findings from 35 recent studies, this framework addresses critical limitations in current KM models by embedding cultural intelligence (CQ) into KM practices, enabling organizations to apply AI-driven insights that respect local norms and values. This approach supports sustainable knowledge sharing, ethical decision-making, and an adaptable feedback cycle informed by human input. Practical implications for multinational organizations include improved cross-cultural collaboration and an ethically aligned, responsive KM system. Future research directions are proposed to empirically evaluate the framework’s adaptability and effectiveness across various sectors.