Document Type

Article

Publication Date

11-8-2022

Publication Title

Cornell Hospitality Quarterly

Volume

64

Issue

3

First page number:

298

Last page number:

306

Abstract

While hospitality researchers have examined the impacts of user-generated content on customers, research regarding the impacts of employee reviews on job seekers’ application intentions is scarce. Yet, labor shortages in the hospitality industry have been amplified in recent years. The tight job market requires organizations to use aggressive and proactive recruitment strategies. As online employee reviews can attract both active and passive job seekers, organizations are increasingly advertising their jobs on these sites. This study draws on the elaboration likelihood model (ELM) and tests the boundary condition of work experience on the effects of overall star-ratings and employer awards on job seekers’ application intention. Through an experimental survey, this study sought to fill the gap regarding the impacts of employee-generated star-ratings and employer awards on job seekers’ application intentions. Both star-ratings and employer awards are positively related to organizational prestige. Hospitality work experience moderates the relationship between star-ratings and organizational prestige. The relationship is stronger for novice job seekers than for experienced job seekers. Organizational prestige, in turn, increases job seekers’ application intentions. Our findings extend the recruitment literature and highlight the potential usage of ELM as an explorative framework in hospitality recruitment research. The study also provides suggestions for hospitality employers to attract job seekers.

Keywords

Online Employee Reviews; Star-Ratings; Employer Awards; Elaboration Likelihood Model

Disciplines

Hospitality Administration and Management

File Format

pdf

File Size

510 KB

Language

English

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

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