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https://doi.org/10.4337/978178...
Part of book or chapter of book . 2018 . Peer-reviewed
Data sources: Crossref
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Behavioral ethics, behavioral compliance

Authors: Langevoort, Donald C;

Behavioral ethics, behavioral compliance

Abstract

The design of an effective legal compliance system for an organization requires skill at predicting human behavior. The surveillance portion of compliance involves estimates about who is most likely to misbehave, and when. The communicative aspect — training and guidance — requires thinking about what kinds of messages and incentives are most effective. Forensics and resolution are about, at least in part, learning from the experience and applying the lessons to future activity. It’s entirely plausible to use the economist’s assumption of rational choice — opportunism with guile — in making these predictions. But the realism of that assumption has been under attack for decades now. The label “behavioral compliance” can be attached to the design and management of compliance that draws from a wider range of behavioral predictions about individual and organizational behavior. This chapter surveys some of the contemporary research in behavioral ethics, and its usefulness to the architecture of compliance.

Country
United States
Related Organizations
Keywords

legal compliance, 330, Business Law, behavioral ethics, compliance, 343, Public Responsibility, law and psychology, and Ethics, Law and Economics

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    20
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%