2,390
Views
13
CrossRef citations to date
0
Altmetric
Articles

Electronic word-of-mouth via employer review sites – the effects on organizational attraction

, &
Pages 3428-3457 | Received 18 Jan 2018, Accepted 10 Jun 2019, Published online: 13 Jul 2019
 

Abstract

Recent recruitment research has provided evidence for word-of-mouth (WoM) to affect organizational attraction. However, little is known about its effects in an online environment. This is particularly true with regard to employer review sites, which provide electronic WoM to a large number of job seekers. Drawing on the Elaboration Likelihood Model, the present study addresses this research gap by investigating the effects of positive electronic WoM provided by employer review sites on organizational attraction. A vignette-based quasi-experimental study was conducted (n = 386) with argument quality of the electronic WoM message, source expertise and recipients’ previous job search experience as experimental variables. The results indicate a statistically significant main effect of the argument quality of the electronic WoM message and the source’s expertise. We also found a three-way interaction that reveals that recipients process electronic WoM differently depending on their previous job search experience. We discuss our findings with regard to limitations and future research.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 352.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.