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One-by-One or All-at-Once? Self-Reporting Policies and Dishonesty

Overview of attention for article published in Frontiers in Psychology, February 2016
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Title
One-by-One or All-at-Once? Self-Reporting Policies and Dishonesty
Published in
Frontiers in Psychology, February 2016
DOI 10.3389/fpsyg.2016.00113
Pubmed ID
Authors

Rainer M. Rilke, Amos Schurr, Rachel Barkan, Shaul Shalvi

Abstract

Organizational monitoring relies frequently on self-reports (e.g., work hours, progress reports, travel expenses). A "one-by-one" policy requires employees to submit a series of reports (e.g., daily or itemized reports). An "all-at-once" policy requires an overall report (e.g., an annual or an overview report). Both policies use people's self-reports to determine their pay, and both allow people to inflate their reports to get higher incentives, that is, to cheat. Objectively, people can cheat to the same extent under both reporting policies. However, the two policies differ in that the segmented one-by-one policy signals closer monitoring than the all-at-once policy. We suggest here that lie aversion may have a paradoxical effect on closer monitoring and lead people to cheat more. Specifically, reporting a series of segmented units of performance (allowing small lies) should lead to more cheating than a one-shot report of overall performance (that require one larger lie). Two surveys indicated that while people perceive the all-at-once policy as more trusting, they still expected people would be equally likely to cheat in both policies. An experiment tested the effects of the two reporting policies on cheating. The findings showed that contrary to the participants' intuition, but in line with research on lie aversion, the one-by-one policy resulted in more cheating than the all-at-once policy. Implications for future research and organization policy are discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 33%
Student > Ph. D. Student 6 22%
Researcher 4 15%
Student > Doctoral Student 2 7%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 5 19%
Readers by discipline Count As %
Psychology 9 33%
Economics, Econometrics and Finance 4 15%
Social Sciences 2 7%
Business, Management and Accounting 2 7%
Computer Science 1 4%
Other 1 4%
Unknown 8 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 January 2016.
All research outputs
#20,302,535
of 22,840,638 outputs
Outputs from Frontiers in Psychology
#24,140
of 29,847 outputs
Outputs of similar age
#251,722
of 297,952 outputs
Outputs of similar age from Frontiers in Psychology
#485
of 520 outputs
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So far Altmetric has tracked 29,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 520 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.