What you see is what you get? Measuring companies' projected employer image attributes via companies' employment webpages

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
  • Christian P Theurer
  • Philipp Schaepers
  • Andranik Tumasjan
  • Isabell Welpe
  • Filip Lievens
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000690854200001&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1002/hrm.22085
eISSN
1099-050X
Externe Identifier
  • Clarivate Analytics Document Solution ID: 4J6JJ
ISSN
0090-4848
Ausgabe der Veröffentlichung
5
Zeitschrift
HUMAN RESOURCE MANAGEMENT
Schlüsselwörter
  • CATA
  • content analysis
  • employer branding
  • employer image
  • third party employment branding
Paginierung
543 - 561
Datum der Veröffentlichung
2022
Status
Published
Titel
What you see is what you get? Measuring companies' projected employer image attributes via companies' employment webpages
Sub types
  • Article
Ausgabe der Zeitschrift
61

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Abstract
<jats:title>Abstract</jats:title><jats:p>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 (&lt;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.</jats:p>
Autoren
  • Christian P Theurer
  • Philipp Schäpers
  • Andranik Tumasjan
  • Isabell Welpe
  • Filip Lievens
DOI
10.1002/hrm.22085
eISSN
1099-050X
ISSN
0090-4848
Ausgabe der Veröffentlichung
5
Zeitschrift
Human Resource Management
Sprache
en
Online publication date
2021
Paginierung
543 - 561
Datum der Veröffentlichung
2022
Status
Published
Herausgeber
Wiley
Herausgeber URL
http://dx.doi.org/10.1002/hrm.22085
Datum der Datenerfassung
2023
Titel
What you see is what you get? Measuring companies' projected employer image attributes via companies' employment webpages
Ausgabe der Zeitschrift
61

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