The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
HAPPY TOGETHER? HOW USING NONSTANDARD WORKERS AFFECTS EXIT, VOICE, AND LOYALTY AMONG STANDARD EMPLOYEES.
Abstract
We examined how a blended workforce (one with "standard" and "nonstandard" workers in the same jobs) affected exit, "voice," and loyalty among standard employees. We found that workforce blending worsened relations between managers and employees, decreased standard employees' loyalty, and increased their interest both in leaving their organizations and in exercising voice through unionization. However, these effects were contingent on whether the nonstandard workers were temporary or contract and on the salary and responsibilities of the standard employees.
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.
Integrity signals
Registry
Cites
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.
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
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education
Becker, G. S. (1993) · doi:10.7208/chicago/9780226041223.001.0001 · Cited by 4,509
Cited by
Precarious work, insecure workers: Employment relations in transition
Kalleberg, A. L. (2009) · American Sociological Review · doi:10.1177/000312240907400101 · Cited by 2,998
Emerging Trends in Contingent Work Research
Connelly, C. E., & Gallagher, D. G. (2004) · Journal of Management · doi:10.1016/j.jm.2004.06.008 · Cited by 516
2 Old Assumptions, New Work: The Opportunities and Challenges of Research on Nonstandard Employment
Ashford, S. J., George, E., & Blatt, R. (2007) · Academy of Management Annals · doi:10.1080/078559807 · Cited by 288
Self-citationLabor Market Intermediaries and the New Paradigm for Human Resources
Bonet, R., Cappelli, P., & Hamori, M. (2013) · Academy of Management Annals · doi:10.5465/19416520.2013.774213 · Cited by 199
Validation of a Multidimensional HR Flexibility Measure
Way, S. A., Tracey, J. B., Fay, C. H., Wright, P. M., Snell, S. A., Chang, S., & Gong, Y. (2015) · Journal of Management · doi:10.1177/0149206312463940 · Cited by 114
Metadata
- Authors
- Davis-Blake, A., Broschak, J. P., & George, E.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2003-08-01
- Volume
- 46
- Issue
- 4
- Pages
- 475-485
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W1997002746
- Cited by
- 315
- References
- 2
- FWCI
- 17.54
- 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
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.
