Analyzing Entropy Change in the Knowledge State System of Knowledge-Based Enterprises

Abstract

This research delves into the analysis of entropy change within the knowledge state system of knowledge-based enterprises. Drawing upon principles from information theory, systems theory, and knowledge management, the study investigates how entropy, as a measure of disorder or uncertainty, evolves over time within the knowledge state system of enterprises. Through empirical analysis and modeling techniques, the research examines factors that contribute to entropy change, such as knowledge creation, acquisition, dissemination, utilization, and loss. Furthermore, the study explores the implications of entropy change for organizational learning, innovation, and performance within knowledge-based enterprises. By providing insights into the dynamics of entropy change in knowledge-based enterprises, this research offers practical implications for managers and organizations seeking to manage and optimize their knowledge resources effectively