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Cited by 206

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Recruitment on the Net: How Do Organizational Web Site Characteristics Influence

Cober, Richard T., Brown, Douglas J., Keeping, Lisa M., Levy, Paul E.·2004·Journal of Management

Abstract

The use of organizational web sites for recruitment has become increasingly common. Despite their widespread growth, however, little is known about how these web sites influence recruitment outcomes. In the current paper, we present a model that explicates how job seekers interact with and respond to web site characteristics to predict various job seeker attitudes and behaviors. We suggest that job seekers are initially affected by the facade of a web site, comprised of the web site’s aesthetic and playfulness features. Coupled with system features of the web site, these initial affective reactions then influence perceptions of the usability of the web site. Perceptions of usability and affective reactions work through two key mediating constructs, job seeker search behavior and web site attitude, to ultimately predict applicant attraction. Throughout the paper we present a series of testable propositions that should serve to guide future research.

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Metadata

Authors
Cober, R. T., Brown, D. J., Keeping, L. M., & Levy, P. E.
Venue
Journal of Management
Published
2004-10
Volume
30
Issue
5
Pages
623-646
ISSN
  • 0149-2063 (ISSN-L)
  • 1557-1211
OpenAlex
W1836170173
Cited by
206
References
5
FWCI
9.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recruitment on the Net: How Do Organizational Web Site Characteristics Influence. https://app.cochat.ai/papers/10.1016/j.jm.2004.03.001
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Cober, R. T., Brown, D. J., Keeping, L. M., & Levy, P. E. (2004). Recruitment on the Net: How Do Organizational Web Site Characteristics Influence. Journal of Management. https://doi.org/10.1016/j.jm.2004.03.001

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.