The Knowledge Management of Small Entities versus Big Entities

Abstract

Knowledge Management (KM) is central to modern organizations as they strive to sustain competitive advantage in an increasingly dynamic and information-driven world. However, KM practices are far from uniform, varying significantly based on organizational size, structure, and culture. Small entities, with their flat hierarchies and agile methods, prioritize informal and intuitive approaches. In contrast, large entities depend on formalized systems and frameworks to handle their expansive and complex knowledge ecosystems. This paper investigates the key differences between KM strategies in small and large entities, exploring how structural and cultural elements influence KM. Challenges such as knowledge silos in large organizations and resource constraints in small ones are analyzed alongside technological interventions and opportunities for innovation. Through theoretical models, case studies, and comparative insights, the paper provides actionable strategies tailored to optimize KM for organizations of different sizes. By addressing these dynamics comprehensively, the study contributes to a nuanced understanding of KM as a driver of organizational growth and sustainability.

Keywords

• knowledge management
• seci model
• knowledge value chain
• silo effect
• technological adoption