A study on impact factors of retailing implementing CPFR - A fuzzy AHP analysis

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Abstract

Numerous researches have focused on exploring the factors of success or failure in the implementation of collaborative, planning, forecasting, and replenishment (CPFR) in retailing since CPFR was proposed in 1998. Despite of considerable research primarily used statistical analysis methods, such as the analysis of variance (ANOVA) and multivariate analysis of variance (MANOVA) approach, can discover significant impact factors. However, it still cannot understand the importance of each impact factor. This result can not provide sufficient information as a useful reference for retailing to allocate optimal resource while implementing CPFR. Therefore, the factors of adopting CPFR or B2B information system were collected and further construct a three level of hierarchical structure in this paper. Sequentially, the pair-wise questionnaire was designed and distributed to experts who are familiar to CPFR implementation of retailing. Finally, fuzzy analytic hierarchy process (Fuzzy AHP) is applied to find out the weights (importance) of each impact factors of CPFR implementation. The paths of critical factors were analyzed and suggestions for retailing in practice were provided. This result indicate that to use fuzzy AHP method can provide more precise information as a valuable reference for retailing to allocate optimal resource with more efficiently while implementing CPFR. © Springer-Verlag London Limited 2009.

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Fu, H. P., Lin, S. W., & Chen, C. R. (2009). A study on impact factors of retailing implementing CPFR - A fuzzy AHP analysis. In Global Perspective for Competitive Enterprise, Economy and Ecology - Proceedings of the 16th ISPE International Conference on Concurrent Engineering (pp. 609–619). https://doi.org/10.1007/978-1-84882-762-2_58

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