Service recovery expectation model -- from the perspectives of consumers

This paper explores the influence of the major attributes of consumers, such as personality traits, gender, number of consumptions, and levels of involvement, on service recovery expectations. A combination of linear multivariate statistical analysis and nonlinear fuzzy neural network models is further used to analyse data and validate hypotheses. Consumers of middle-to-high-end Chinese restaurant chains are sampled as the interactions between these restaurants and consumers are frequent. The empirical research finds that old customers have lower expectations of service recovery than new ones and male consumers have lower expectations than female consumers. Extrovert-type consumers have lower expectations of service recovery than introvert-type consumers. There is a positive correlation between consumers' involvement and service recovery expectation. As this paper examines the expectations of service recovery from the perspectives of consumers, it aims to help companies use pre-processing of service recovery as a precautionary measure, rather than as a remedial measure as mostly seen. Different from the vast majority of literature that deals with the issue by focusing on western enterprises, this paper uses small-and-medium enterprises in Taiwan and constructs management implications accordingly.