Forecasting the success of knowledge management adoption in Supply Chain

The Knowledge Management (KM) adoption in the Supply Chain (SC) is prolonged as well as expensive and its impact needs longer time. Hence, the forecasting of the success of KM adoption in SC is required before going to its actual adoption. This study presents a combined method of fuzzy DEMATEL and FMCDM to forecast the success of KM adoption in SC. The fuzzy DEMATEL method is used to evaluate weighting of each evaluation criteria´s, after that FMCDM method uses to obtain possible rating of success of KM adoption in SC. The proposed method demonstrated with the empirical case study of an Indian organization. The proposed method is useful for forecast the success of KM adoption in SC without actual implementation.