Omni-Channel Customer Experience (In)Consistency and Service Success: A Study Based on Polynomial Regression Analysis

Autor: Wei Gao, Hua Fan
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Theoretical and Applied Electronic Commerce Research, Vol 16, Iss 6, Pp 1997-2013 (2021)
Druh dokumentu: article
ISSN: 0718-1876
DOI: 10.3390/jtaer16060112
Popis: Drawing on expectation disconfirmation theory, this study explores the dyadic nature of omni-channel consistency on customer experience. Specifically, we propose a conceptual model that focuses on a brand’s offline channel customer experience relative to that of its online channel, and test the influences of customer experience (in)consistency on customer satisfaction, which then improves repurchase intention and word-of-mouth. The results of polynomial regressions on 265 survey respondents indicate that given omni-channel customer experience inconsistency, customers prefer consistent online and offline experiences. For omni-channel consistency at lower levels of customer experience quality, customers prefer consistency at higher levels of quality. For omni-channel inconsistency where offline customer experience quality is lower than that online, customers prefer omni-channel inconsistency, where offline customer experience quality is higher than that online. These findings produce not only theoretical contributions but also insightful suggestions for how customer experience can be taken into consideration in the promotion of a brand’s omni-channel service success.
Databáze: Directory of Open Access Journals