Insights From a Process Model of Retrospective Evaluation

Novel hypotheses are derived from a process model of retrospective evaluation of consumption experiences. Correspondence of computational simulation and empirical results suggests the model’s instance encoding, resonance-based retrieval, and evaluative mechanisms explain consumers' evaluative behavior and demonstrates the value of applying computational models of cognition in consumer research.



Citation:

Rory Waisman (2020) ,"Insights From a Process Model of Retrospective Evaluation", in NA - Advances in Consumer Research Volume 48, eds. Jennifer Argo, Tina M. Lowrey, and Hope Jensen Schau, Duluth, MN : Association for Consumer Research, Pages: 1139-1143.

Authors

Rory Waisman, University of Alberta, Canada



Volume

NA - Advances in Consumer Research Volume 48 | 2020



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