Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 527

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Applicant Attraction Strategies: An Organizational Perspective

Rynes, Sara L., Barber, Alison E.·1990·The Academy of Management Review

Abstract

Developing labor shortages are expected to increase the importance of applicant attraction into the next century. Unfonunately, previous research has provided little in the way of unified theory or operational guidelines for organizations confronted with attraction difficulties. In part, this is because much research has been framed from the applicant's, rather than the organization's, perspective. In addition, attraction-related theories and research are scattered across a variety of literatures, and often identified primarily with topics other than attraction per se (e.g., wage, motivation, or discrimination theories). The present paper draws on multiple literatures to develop a model of applicant attraction from the organization's perspective. In it, we (1) outline three general strategies for enhancing applicant attraction, (2) propose broad categories of contingency factors expected to affect the choice (and potential effectiveness) of alternative strategies, (3) suggest probable interrelationships among the strategies, (4) link applicant attraction strategies to other human resource practices, (5) outline various dimensions of attraction outcomes (e.g. qualitative and quantitative, attitudinal and behavioral, temporal), and (6) discuss implications for future attraction research.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/258158

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 527

Metadata

Authors
Rynes, S. L., & Barber, A. E.
Venue
The Academy of Management Review
Published
1990-04
Volume
15
Issue
2
Pages
286
ISSN
0363-7425 (ISSN-L)
OpenAlex
W2158272839
Cited by
527
References
1
FWCI
15.51
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Applicant Attraction Strategies: An Organizational Perspective. https://app.cochat.ai/papers/10.2307/258158
The paper
Rynes, S. L., & Barber, A. E. (1990). Applicant Attraction Strategies: An Organizational Perspective. The Academy of Management Review. https://doi.org/10.2307/258158

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.