Le risque de Knight en question ? Apport d’une recherche en clinique de l’activité
Daniel Bonnet ()
Additional contact information
Daniel Bonnet: ISEOR - Institut de Socio-économie des Entreprises et des ORganisations - Institut de socio-économie des entreprises et des organisations
Post-Print from HAL
Abstract:
This paper shows that Knight's risk-management approach to qualimetric risk management can create added value by converting hidden cost-performance. This conversion helps to optimize the continuous function of marginal utility related to risk. The hidden cost-performance measures the negative value, generated by dysfunctions in the functioning of the organization and its management. As such, the hidden cost-performance measures the aryetic risk (probabilizable). The qualimetric approach makes it possible to bridge the two categories of risks that are generally dissociated. Knight's risk holds a hope of gain that can be achieved by optimizing the marginal utility function of risk. The qualimetric approach makes it possible to identify and measure the impact of organizational pathologies and to connect them to economic pathologies. This paper introduces in this respect to a clinic of the activity by the qualimetric approach.
Keywords: aryetic risk; knight risk; qualimetric approach; negation; enantiology; risque aryétique; risque de knight; approche qualimétrique; énantiologie (search for similar items in EconPapers)
Date: 2020-03-18
References: Add references at CitEc
Citations:
Published in Vie et Sciences de l'Entreprise, 2020, N° 208 (2), pp.12-28. ⟨10.3917/vse.208.0012⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03846654
DOI: 10.3917/vse.208.0012
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().