Consumer dynamics: theories, methods, and emerging directions

Jonathan Z. Zhang () and Chun-Wei Chang ()
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Jonathan Z. Zhang: Colorado State University
Chun-Wei Chang: Amazon.com

Journal of the Academy of Marketing Science, 2021, vol. 49, issue 1, No 10, 166-196

Abstract: Abstract Consumer attitudes and behaviors are fundamentally dynamic processes; thus, understanding consumer dynamics is crucial for truly understanding consumer behaviors and for firms to formulate appropriate actions. Recent history in empirical marketing research has enjoyed increasingly richer consumer data as the result of technology and firms’ conscious data collection efforts. Richer data, in turn, have propelled the development and application of quantitative methods in modeling consumer dynamics, and have contributed to the understanding of complex dynamic behaviors across many domains. In this paper, we discuss the sources of consumer dynamics and how our understanding in this area has improved over the past four decades. Accordingly, we discuss several commonly used empirical methods for conducting dynamics research. Finally, as the data evolution continues into new forms and new environments, we identify cutting-edge trends and domains, and offer directions for advancing the understanding of consumer dynamics in these emerging areas.

Keywords: Consumer dynamics; Behavioral evolution; Dynamic models; VAR; Dynamic linear model; CRM; Hidden Markov model (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (13)

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DOI: 10.1007/s11747-020-00720-8

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