The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Let’s Make a Deal: Development and Validation of the Ex Post I-Deals Scale
Abstract
Idiosyncratic deals (or i-deals) are mutually beneficial, personalized agreements of a nonstandard nature that are negotiated between individual employees and their employers. This article outlines the development of a 16-item measure of i-deals negotiated by job incumbents. Across four studies, the authors developed a reliable scale with a multidimensional factor structure that replicated across three separate samples. Study 1 was aimed at verifying that they had appropriately specified the domains across which i-deals are negotiated. In Study 2, the authors developed a measure of i-deals and confirmed its reliability and factor structure. Studies 3 and 4 provided further evidence for the psychometric properties of the i-deals measure and examined antecedents and outcomes of i-deals. Overall, the results indicate that employees negotiate i-deals across four content domains (i.e., schedule flexibility, location flexibility, task and work responsibilities, and financial incentives) and that i-deals have important implications for work attitudes.
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
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Social Exchange Theory: An Interdisciplinary Review
Cropanzano, R., & Mitchell, M. S. (2005) · Journal of Management · doi:10.1177/0149206305279602 · Cited by 10,068
Perceived organizational support.
Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986) · Journal of Applied Psychology · doi:10.1037/0021-9010.71.3.500 · Cited by 10,023
I-Deals: Idiosyncratic Terms in Employment Relationships
Rousseau, D. M., Ho, V. T., & Greenberg, J. (2006) · Academy of Management Review · doi:10.5465/amr.2006.22527470 · Cited by 652
Cited by
Gajendran, R. S., Harrison, D. A., & Delaney‐Klinger, K. (2015) · Personnel Psychology · doi:10.1111/peps.12082 · Cited by 310
Bal, P. M., & Dorenbosch, L. (2015) · Human Resource Management Journal · doi:10.1111/1748-8583.12058 · Cited by 77
Metadata
- Authors
- Rosen, C. C., Slater, D. J., Chang, C.-H. (., & Johnson, R. E.
- Venue
- Journal of Management
- Publisher
- SAGE Publications
- Published
- 2011-01-28
- Volume
- 39
- Issue
- 3
- Pages
- 709-742
- ISSN
- 0149-2063 (ISSN-L)
- 1557-1211
- OpenAlex
- W2050937496
- Cited by
- 259
- References
- 4
- FWCI
- 15.88
- 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.
