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Cited by 1,222

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Captivating company: dimensions of attractiveness in employer branding

Open access
Berthon, Pierre, Ewing, Michael, Hah, Li Lian·2005·International Journal of Advertising

Abstract

The internal marketing concept specifies that an organisation’s employees are its first market. Themes such as ‘internal advertising’ and ‘internal branding’ have recently entered the marketing lexicon. One component of internal marketing that is still underdeveloped is ‘employer branding’ and specifically ‘employer attractiveness’. Employer attractiveness is defined as the envisioned benefits that a potential employee sees in working for a specific organisation. It constitutes an important concept in knowledge-intensive contexts where attracting employees with superior skills and knowledge comprises a primary source of competitive advantage. In this paper, we identify and operationalise the components of employer attractiveness from the perspective of potential employees. Specifically we develop a scale for the measurement of employer attractiveness. Implications of the research are discussed, limitations noted and future research directions suggested.

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Registry

Crossref · 10.1080/02650487.2005.11072912

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Metadata

Authors
Berthon, P., Ewing, M., & Hah, L. L.
Venue
International Journal of Advertising
Published
2005-01
Volume
24
Issue
2
Pages
151-172
ISSN
  • 0265-0487 (ISSN-L)
  • 1759-3948
OpenAlex
W2144643027
Cited by
1,222
References
7
FWCI
15.20
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Captivating company: dimensions of attractiveness in employer branding. https://app.cochat.ai/papers/10.1080/02650487.2005.11072912
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Berthon, P., Ewing, M., & Hah, L. L. (2005). Captivating company: dimensions of attractiveness in employer branding. International Journal of Advertising. https://doi.org/10.1080/02650487.2005.11072912

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.