Evaluating the impact of Knowledge Management adoption on Supply Chain performance by BSC-FANP approach: An empirical case study

Abstract

The aim of this study is to evaluate the impact of Knowledge Management (KM) adoption on the Supply Chain (SC) performance. This paper proposes a framework based on balanced scorecard (BSC) and fuzzy Analytical network process (FANP) to evaluate the impact of KM adoption on SC performance. The BSC integrates financial and non-financial SC performance measures around the four perspectives: customer, internal business process, learning and growth, and financial. The FANP establishes the interaction among KM adoption in SC enablers, BSC perspectives, and SC performance to evaluate the SC performance. The empirical case study of an Indian organization is conducted to demonstrate the use of the proposed framework. This study has evaluated the results of the SC performance before and after KM adoption in SC. It shows the positive impact of KM adoption on SC performance. Finally, it examines the robustness of the model through sensitivity analysis.