Introducing uncertain performance expectations in satisfaction models for services

Research on perceived risk and multiattribute models with uncertain attributes has shown that consumers are familiar with unit‐to‐unit variability of products and services, and can expect some kind of performance level distribution. This has led to the modelling of expectations along two dimensions – expected mean performance and some measure of its variance. This perspective is in accordance with theories on decision making in economics, finance and decision science. Satisfaction models, however, implicitly assume that expectations are unidimensional, and so far, no research has examined the impact of expected performance heterogeneity on the satisfaction processes. This is surprising, particularly in services marketing, as a high degree of performance heterogeneity is a frequently cited feature of service encounters. In this study, different levels of expected performance heterogeneity were manipulated using a unique laboratory simulator. The results clearly show that expected performance heterogeneity can have impact on the satisfaction process. In particular, at small levels of actual disconfirmation the presence of uncertainty in expectations improves the level of disconfirmation, shifting it towards “better than expected”, and improving overall satisfaction. At higher levels of disconfirmation, uncertainty in expectations did not show any effect on disconfirmation levels.