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.
Highlights
Agribusiness plays an indispensable role in the world’s economy and has become the most important source of food supplies [1]
The knowledge management (KM) process cycle generates quality and useful information to benefit a range of firm activities
This study reveals that the decisive attribute for strategic KM (SKM) is top management support
Summary
Agribusiness plays an indispensable role in the world’s economy and has become the most important source of food supplies [1]. The essential factor in enhancing competitive advantage in agribusiness is the professionalization of management in production [2]. To achieve this purpose and retain competitive advantages, strategic management is considered a potent means to analyze the environment in order to identify and develop specialized strategies [3,4]. As the ability of firms to identify, codify, leverage, and use their knowledge sources as a firm strategy to increase overall performance and competitive advantages, strategic KM (SKM) has become an important determinant to help firms improve their competitive advantages [8]
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