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This research aims to provide a theory-based means for firms to improve customers' likelihood to provide reviews and elicit reviews that are more accurate accounts of customers' consumption experience. The authors also examined the moderating impact of type of review (whether the reviews are anonymous or identified) on the effect of moral identity on the likelihood to provide reviews and accuracy of the reviews.Design/methodology/approachData were collected via two experiments (n = 524) in lab sessions. The authors used convenient samples comprised of college students and administrative staff. Study 1 was used to examine the impact of participants' naturally existing moral identity on the likelihood to provide reviews and the accuracy of the reviews provided. Study 2 was used to investigate whether moral identity can be artificially activated or not. Study 2 was also used to test the moderating impact of the type of review on the effect of moral identity (activated vs not activated/control) on likelihood to provide reviews and the accuracy of the reviews provided.FindingsThe authors found that moral identity positively impacts the likelihood that customers will agree to provide reviews and the accuracy of the reviews. Also, the type of review moderates the effect of moral identity for those whose moral identity was not activated (i.e. uninfluenced). However, the type of review did not moderate the effect of moral identity when participants' moral identity was activated or primed.Originality/valueStrategies currently used to elicit online reviews yield low conversion rates or elicit reviews that potential customers do not trust. This paper provides an empirically tested, theory-driven means for managers of digital platforms to improve customer engagement behaviors such as “liking”, tweeting, sharing and product reviews.
Journal of Research in Interactive Marketing – Emerald Publishing
Published: Jan 25, 2023
Keywords: Customer interactions; Customer engagement; Customer online reviews; Moral identity; Self-regulation; Review accuracy; Online reviews; Review behaviours
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