A Strategic Knowledge Management Approach to Circular Agribusiness

Abstract

In this study, we construct a theoretical model for strategic knowledge management in the circular agribusiness industry. Previous studies lack an analysis of strategic knowledge management and sets of measures. Hence, this study applies the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (known as fuzzy TOPSIS), and utilizes the interrelationship weights as a parameter to justify the weights and address important attributes. The results demonstrate that strategic knowledge management improves a firm’s competitive advantages through high-level management support. The theoretical and managerial implications are that high-level management support, firm performance, and knowledge management process cycles are the most important strategic knowledge management aspects for improving a firm’s performance in circular agribusiness.