Predicting review helpfulness in the omnichannel retailing context: An elaboration likelihood model perspective

Frontiers in Psychology 13 (2022)
  Copy   BIBTEX

Abstract

As increasingly retail enterprises have adopted the omnichannel retailing strategy, both online-generated and offline-generated reviews should be considered to better understand the helpfulness of online reviews in the omnichannel retailing context. Drawing on the Elaboration Likelihood Model, the present study attempts to examine the impacts of review label volume, review content length, and review label-content relevance on review helpfulness in the omnichannel retailing context. The empirical data of 2,822 product reviews were collected from Suning.com. The results of Negative Binomial Regression showed that both central cue and peripheral cue positively affect review helpfulness. Specifically, the positive effect of review content length on review helpfulness will be stronger when the online review is submitted from an omnichannel retailer’s online store. On the contrary, the positive effect of review label-content relevance on review helpfulness will be weaker when the online review is generated from an omnichannel retailer’s online channel.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,532

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

What is the context of prediction?Si On Yoon & Sarah Brown-Schmidt - 2013 - Behavioral and Brain Sciences 36 (4):376-377.

Analytics

Added to PP
2022-09-14

Downloads
8 (#1,309,160)

6 months
6 (#508,473)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Citations of this work

No citations found.

Add more citations

References found in this work

Add more references