The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The Power of Momentum: A New Model of Dynamic Relationships between Job Satisfaction Change and Turnover Intentions
Abstract
This study offers a new theoretical perspective on the unique nature and function of job satisfaction change, or systematic improvement or decline in job satisfaction over time. Using four diverse samples, we show that differences in the extent to which job satisfaction systematically improves or declines account for change in employees' “turnover intentions” left unexplained by absolute (average) levels of job satisfaction. Further, we show that future-oriented work expectations partially mediate this relationship, and organizational tenure moderates the relationship between job satisfaction change and future-oriented work expectations. These findings provide new insights into the dynamic processes leading to turnover decisions.
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
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Conservation of resources: A new attempt at conceptualizing stress
Hobfoll, S. E. (1989) · American Psychologist · doi:10.1037/0003-066x.44.3.513 · Cited by 18,187
Mixed-Effects Models in S and S-PLUS
(2001) · Technometrics · doi:10.1198/tech.2001.s574 · Cited by 9,278
Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods
MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3901_4 · Cited by 7,806
Kahneman, D., & Tversky, A. (1984) · American Psychologist · doi:10.1037/0003-066x.39.4.341 · Cited by 6,544
Hox, J., Moerbeek, M., & van de Schoot, R. (2002) · doi:10.4324/9781410604118 · Cited by 2,419
Podsakoff, N. P., Whiting, S. W., Podsakoff, P. M., & Blume, B. D. (2009) · Journal of Applied Psychology · doi:10.1037/a0013079 · Cited by 2,356
When More Pain Is Preferred to Less: Adding a Better End
Kahneman, D., Fredrickson, B. L., Schreiber, C. A., & Redelmeier, D. A. (1993) · Psychological Science · doi:10.1111/j.1467-9280.1993.tb00589.x · Cited by 1,502
Resource loss, resource gain, and emotional outcomes among inner city women.
Hobfoll, S. E., Johnson, R. J., Ennis, N., & Jackson, A. P. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.3.632 · Cited by 1,381
Aguinis, H., Beaty, J. C., Boik, R. J., & Pierce, C. A. (2005) · Journal of Applied Psychology · doi:10.1037/0021-9010.90.1.94 · Cited by 1,216
Cited by
Anderson, N., Potočnik, K., & Zhou, J. (2014) · Journal of Management · doi:10.1177/0149206314527128 · Cited by 3,103
Self-citationOne hundred years of employee turnover theory and research.
Hom, P. W., Lee, T. W., Shaw, J. D., & Hausknecht, J. P. (2017) · Journal of Applied Psychology · doi:10.1037/apl0000103 · Cited by 1,013
Organizational career growth, affective occupational commitment and turnover intentions
Weng, Q., & McElroy, J. C. (2012) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2012.01.014 · Cited by 317
A century of labour turnover research: A systematic literature review
Bolt, E. E. T., Winterton, J., & Cafferkey, K. (2022) · International Journal of Management Reviews · doi:10.1111/ijmr.12294 · Cited by 116
An identification perspective of servant leadership's effects
Zhao, C., Liu, Y., & Gao, Z. (2016) · Journal of Managerial Psychology · doi:10.1108/jmp-08-2014-0250 · Cited by 100
Metadata
- Authors
- Chen, G., Ployhart, R. E., Thomas, H. C., Anderson, N., & Bliese, P. D.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2011-02
- Volume
- 54
- Issue
- 1
- Pages
- 159-181
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W2163471292
- Cited by
- 509
- References
- 11
- FWCI
- 53.52
- 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: The Power of Momentum: A New Model of Dynamic Relationships between Job Satisfaction Change and Turnover Intentions. https://app.cochat.ai/papers/10.5465/amj.2011.59215089
- The paper
- Chen, G., Ployhart, R. E., Thomas, H. C., Anderson, N., & Bliese, P. D. (2011). The Power of Momentum: A New Model of Dynamic Relationships between Job Satisfaction Change and Turnover Intentions. Academy of Management Journal. https://doi.org/10.5465/amj.2011.59215089
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.
