The effects of gainsharing on grievance rates and absenteeism over time
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Incentivisation is a common means of mitigating the principal-agent problem by aligning the actions of the agents with the goals of the principals.
“Incentivisation is a common means of mitigating the principal–agent problem (Arthur and Jelf 1999; Atkinson et al. 1988; Black and Lynch 2004; Mortimer 2008) by aligning the actions of the agents with the goals of the principals.”
From Content Creators Between Platform Control and User Autonomy: The Role of Algorithms and Revenue Sharing (2023) · cites this paper as Arthur and Jelf 1999
Cited by
Sorted by citations
Hödl, T., & Myrach, T. (2023) · Business & Information Systems Engineering · doi:10.1007/s12599-023-00808-9 · Cited by 51 · see citing works
- Authors
- Arthur, J. B., & Jelf, G. S.
- Affiliations
- Fairfield University (US)
- Purdue University West Lafayette (US)
- Venue
- Journal of Labor Research
- Published
- 1999-12
- Volume
- 20
- Issue
- 1
- Pages
- 133-145
- ISSN
- 0195-3613 (ISSN-L)
- 1936-4768
- OpenAlex
- W1984550535
- Cited by
- 66
- References
- 0
- Citations by year
- 2023: 3 · 2020: 1 · 2018: 1 · 2016: 2 · 2015: 23 · 2014: 1 · 2013: 2 · 2012: 3
- FWCI
- 5.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Labor Research (publishedVersion)
- Topics
- Social Sciences › Public Administration › Labor Movements and Unions
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Management Theory and Practice
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Keywords
- gainsharing, Scanlon Plan, absenteeism, labor relations, union-management relations, employee performance
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.
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