The DOI matches its Crossref record.
Peer Pressure and Partnerships
Abstract
Partnerships and profit sharing are often claimed to motivate workers by giving them a share of the pie. But in organizations of any significant size, the free-rider effects would seem to choke off any motivational forces. This analysis explores how peer pressure operates and how factors such as profit sharing, shame, guilt, norms, mutual monitoring, and empathy interact to create incentives in the firm. The argument that Japanese firms enjoy team spirit because compensation is linked to overall profitability is analyzed. An explanation for the prevalence of partnerships among individuals in similar occupations is provided.
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
Cited by
The Provision of Incentives in Firms
Prendergast, C. (1999) · Journal of Economic Literature · doi:10.1257/jel.37.1.7 · Cited by 3,338
Corporate immunity to the COVID-19 pandemic
Ding, W., Levine, R., Lin, C., & Xie, W. (2021) · Journal of Financial Economics · doi:10.1016/j.jfineco.2021.03.005 · Cited by 1,484
Mas, A., & Moretti, E. (2009) · American Economic Review · doi:10.1257/aer.99.1.112 · Cited by 1,280
Psychological foundations of incentives
Fehr, E., & Falk, A. (2002) · European Economic Review · doi:10.1016/s0014-2921(01)00208-2 · Cited by 1,240
What’s Driving the New Economy?: The Benefits of Workplace Innovation
Black, S. E., & Lynch, L. M. (2004) · The Economic Journal · doi:10.1111/j.0013-0133.2004.00189.x · Cited by 604
Teaching Students and Teaching Each Other: The Importance of Peer Learning for Teachers
Jackson, C. K., & Bruegmann, E. (2009) · American Economic Journal: Applied Economics · doi:10.1257/app.1.4.85 · Cited by 509
Three-Way Complementarities: Performance Pay, Human Resource Analytics, and Information Technology
Aral, S., Brynjolfsson, E., & Wu, L. (2012) · Management Science · doi:10.1287/mnsc.1110.1460 · Cited by 365
Incentive systems in a real effort experiment
van Dijk, F., Sonnemans, J., & van Winden, F. (2001) · European Economic Review · doi:10.1016/s0014-2921(00)00056-8 · Cited by 281
At your service on the table: Impact of tabletop technology on restaurant performance
Tan, T. F., & Netessine, S. (2020) · Management Science · doi:10.1287/mnsc.2019.3430 · Cited by 111
Designing interactive systems through a game lens: An ethnographic approach
Rapp, A. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.048 · Cited by 94
Reschovsky, J. D., Hadley, J., & Landon, B. E. (2006) · Health Services Research · doi:10.1111/j.1475-6773.2006.00531.x · Cited by 57
Formal and Informal Contracting: Theory and Evidence
Gil, R., & Zanarone, G. (2017) · Annual Review of Law and Social Science · doi:10.1146/annurev-lawsocsci-110316-113413 · Cited by 56
The spread of technological innovations: effects of psychology, culture and policy interventions
Tverskoi, D., Babu, S., & Gavrilets, S. (2022) · Royal Society Open Science · doi:10.1098/rsos.211833 · Cited by 29
Hansen, Z., Owan, H., & Pan, J. (2006) · doi:10.3386/w12251 · Cited by 29
How Costly is Turnover? Evidence from Retail
Kuhn, P., & Yu, L. (2019) · doi:10.3386/w26179 · Cited by 4
Metadata
- Authors
- Kandel, E., & Lazear, E. P.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 1992-08
- Volume
- 100
- Issue
- 4
- Pages
- 801-817
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W2157125979
- Cited by
- 1,756
- References
- 0
- FWCI
- 37.36
- 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.