Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/265022 
Year of Publication: 
2021
Citation: 
[Journal:] Human Resource Management [ISSN:] 1099-050X [Volume:] 61 [Issue:] 5 [Publisher:] Wiley Periodicals, Inc. [Place:] Hoboken, USA [Year:] 2021 [Pages:] 543-561
Publisher: 
Wiley Periodicals, Inc., Hoboken, USA
Abstract: 
Information on a company's employment webpage sends signals about the employer image the company intends to project to applicants. Nonetheless, we know little about the content of recruitment signals sent via company employment webpages. This study develops a method to measure companies’ projected employer image attributes based on their employment webpages. Specifically, we analyze companies’ projected employer image attributes by applying computer‐aided text analysis (CATA) to the employment webpages of 461 Fortune 500 companies (i.e., more than 11,100 individual pages). Our results show that projected employer image attributes remain relatively stable over time. Moreover, we find relatively low levels of employer image differentiation between companies and between industries. Only a small group of companies (<20%) use distinct employer attribute signals to communicate their projected employer image. Finally, there is limited convergence between projected employer image attributes based on employment webpages and ratings on similar attributes on employer review websites. Generally, our results show that CATA is a viable method for assessing companies’ projected employer image in the context of employer image management and engineering.
Subjects: 
CATA
content analysis
employer branding
employer image
third party employment branding
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
Document Version: 
Published Version

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