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Richard A. Spreng
Researcher at Michigan State University
Publications - 32
Citations - 7992
Richard A. Spreng is an academic researcher from Michigan State University. The author has contributed to research in topics: Customer satisfaction & Service quality. The author has an hindex of 17, co-authored 32 publications receiving 7690 citations. Previous affiliations of Richard A. Spreng include Saint Petersburg State University.
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A reexamination of the determinants of consumer satisfaction
TL;DR: Although the "disconfirmation of expectations" model continues to dominate research and managerial practice, several limitations indicate that it is not a complete picture of satisfaction formation as mentioned in this paper, which may indicate that the model is not the best model for satisfaction formation.
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An empirical examination of a model of perceived service quality and satisfaction
Richard A. Spreng,Robert Mackoy +1 more
TL;DR: In this article, the authors examined the empirical distinction between perceived service quality and satisfaction and found that the two constructs are distinct and there is some support for the model, with several modifications.
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Modelling the relationship between perceived value, satisfaction and repurchase intentions in a business‐to‐business, services context: an empirical examination
TL;DR: The authors examined the relationship between four key post-purchase constructs: perceived performance, satisfaction, perceived value, and repurchase intentions, in a causal path framework in an empirical study of business-to-business professional services.
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Modeling the determinants of customer satisfaction for business-to-business professional services
TL;DR: In this paper, the authors empirically examined for the first time the determinants of customer satisfaction or dissatisfaction in the context of business professional services, and the simultaneous effect of key CS/D constructs (expectations, performance, and disconfirmation) and several variables (fairness (equity), purchase situation (novelty, importance, and complexity), and individual-level variables (decision uncertainty and stakeholding) are examined in a causal path framework.
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Service recovery: Impact on satisfaction and intentions
TL;DR: In this article, the relative importance of service recovery in determining overall satisfaction and behavioral intentions is examined, and suggestions for implementing a service recovery program and for encouraging dissatisfied customers to complain.