Measuring consumer loyalty of B2C e-retailing service by: A FANP-based synthetic model

Customer store loyalty is one of the most important motivations that facilitate the intentions of re-patronizing a retailer's website and create marketing values for firms. Research on survey-based for measuring consumers' loyalty to persist in online shopping environment has been developed. But while the measured values of human perceptions towards various attributes are often uncertain data, most conventional measurement methods could not precisely clarify the incomplete information by numerical format. Thus, this paper focused on employing the proposed fuzzy multiple attribute decision making (FMADM) model to cope with this issues within context of B2C retailer loyalty construct. First, the analytic network process (ANP) will be used for determining the relative importance weights for each attributes and identifying key factors that promote B2C loyalty. Second, the logic of triangular fuzzy numbers will be leveraged to transform the satisfaction level of consumers into explicit numbers. Further, considering the complex characteristic between attributes that interdependently interact with one another, we applied the addictive simple weighted aggregation and the non-addictive type fuzzy integral to obtain the fuzzy synthetic utility measures representing for loyalty level and assess the alternatives. In this paper, an empirical case assessed the consumer loyalty towards three Taiwanese B2C ecommerce websites will demonstrate the feasibility of this approach. In addition, we validated the satisfactory degree of a new elements of Personalized Product Recommendations (PPRs) attribute in B2C e-retailing in subject of online marketing by FMADM. In the evaluation process, five main antecedents of B2C retailing services loyalty are obtained and the fuzzy synthetic utility scores are measured for loyalty ranking of the case companies. The results also revealed the different ranking result derived from simple aggregation method and from non-addictive perspective of multiple attributes utility. The multi-attributes consumers' loyalty key measures derived from this study could further support decision making in B2C e-retailing and provide strategic directions to service innovation in markets.