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Cited by 199

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

RECRUITMENT COMMUNICATION MEDIA: IMPACT ON PREHIRE OUTCOMES

ALLEN, DAVID G., SCOTTER, JAMES R. VAN, OTONDO, ROBERT F.·2004·Personnel Psychology

Abstract

An unanswered question in recruitment research is whether and how the media used to communicate recruitment messages influence important outcomes. Drawing from research and theory on persuasive communication and media richness and features, we propose and test a model of the effects of media and media features (amount of information, opportunities for 2‐way communication, personal focus, social presence, symbolism) on communication outcomes (credibility and satisfaction), attitudes, intentions, and behavior associated with joining the organization. Results of an experiment with 989 undergraduate students show that a constant recruitment message delivered via different media (face‐to‐face, video, audio, text) influenced perceptions of featares, and perceptions of features were related to important pre‐hire outcomes.

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Crossref · 10.1111/j.1744-6570.2004.tb02487.x

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Metadata

Authors
ALLEN, D. G., SCOTTER, J. R. V., & OTONDO, R. F.
Venue
Personnel Psychology
Publisher
Wiley
Published
2004-03
Volume
57
Issue
1
Pages
143-171
ISSN
  • 0031-5826 (ISSN-L)
  • 1744-6570
OpenAlex
W2123164155
Cited by
199
References
3
FWCI
9.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: RECRUITMENT COMMUNICATION MEDIA: IMPACT ON PREHIRE OUTCOMES. https://app.cochat.ai/papers/10.1111/j.1744-6570.2004.tb02487.x
The paper
ALLEN, D. G., SCOTTER, J. R. V., & OTONDO, R. F. (2004). RECRUITMENT COMMUNICATION MEDIA: IMPACT ON PREHIRE OUTCOMES. Personnel Psychology. https://doi.org/10.1111/j.1744-6570.2004.tb02487.x

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.