This paper seeks to propose a managerial decision framework for different levels of supply chain, by addressing the strategic importance of competence values in supply chain effectiveness.
A conceptual framework for supply chain effectiveness is defined in levels of supply chain targets, knowledge management dynamics, competence levels and competence success attributes. Analysis of literature in the areas of competence management, knowledge management, supply chain and value chain management resulted in defining the factors of the model. Surveys of industrial practices were used to validate the choice of factors. The analytical network process (ANP) is used to determine the most beneficial competence success attributes in a case study performed for three companies that participate in different stages of the textile supply chain.
Individual competence in continuous learning and networking, as well as innovativeness of the team are found to be the three most important competence attributes in supply chain effectiveness.
The case study is executed in the regional textile industry. New case studies in other industries will help improve the framework. Further international surveys can improve the detail level of factors used.
The study creates awareness of knowledge management dynamics and competence management for companies which are in need of innovation to improve their supply chain competitiveness.
The proposed decision framework is one of the first efforts to consider the importance of competence in supply chain success. The ANP method is used to offer an accurate analysis of interdependent factors observed in management of knowledge dynamics and competence levels.
