Reviews and Self-Selection Bias with Operational Implications
Ningyuan Chen (),
Anran Li () and
Kalyan Talluri ()
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Ningyuan Chen: Department of Management, University of Toronto Mississauga, Mississauga, Ontario L5L 1C6, Canada; Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada
Anran Li: Department of Management, The London School of Economics and Political Science, London WC2A 2AE, United Kingdom
Kalyan Talluri: Imperial College Business School, Imperial College London, London SW7 2BU, United Kingdom
Management Science, 2021, vol. 67, issue 12, 7472-7492
Abstract:
Reviews for products and services written by previous consumers have become an influential input to the purchase decision of customers. Many service businesses monitor the reviews closely for feedback as well as detecting service flaws, and they have become part of the performance review for service managers with rewards tied to improvement in the aggregate rating. Many empirical papers have documented a bias in the aggregate ratings, arising because of customers’ inherent self-selection in their choices and bounded rationality in evaluating previous reviews. Although there is a vast empirical literature analyzing reviews, theoretical models that try to isolate and explain the bias in ratings are relatively few. Assuming consumers simply substitute the average rating that they see as a proxy for quality, we give a precise characterization of the self-selection bias on ratings of an assortment of products when consumers confound ex ante innate preferences for a product or service with ex post experience and service quality and do not separate the two. We develop a parsimonious choice model for consumer purchase decisions and show that the mechanism leads to an upward bias, which is more pronounced for niche products. Based on our theoretical characterization, we study the effect on pricing and assortment decisions of the firm when potential customers purchase based on the biased ratings. Our results give insights into how quality, prices, and customer feedback are intricately tied together for service firms.
Keywords: social learning; product reviews; consumer choice; assortment optimization and pricing; process variability (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:67:y:2021:i:12:p:7472-7492
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