The market position of digital music services based on novel MCDM approaches

Abstract

This study aims to determine customers' needs, determine their desired music services, and propose suitable development strategies and operation models for digital music service providers. This study generated selected aspects/criteria for customers to evaluate their music platform preferences and their willingness to use digital music services. In this study, the Fuzzy cognitive map (FCM) was employed to construct the network relations map (NRM), the Principal component Analysis (PCA) is applied to categorize criteria based on their properties, the Analytic network process (ANP) was used to determine the weights of the components, and the Fuzzy integral was adopted to evaluate the performance gaps of digital music service platforms. The results revealed that digital music service platforms could obtain improvement strategies based on customers' needs and improve service quality using innovative service strategies.