Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1115
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dc.contributor.authorSarkar, Sumit
dc.contributor.authorChakraborty, Soumyakanti
dc.date.accessioned2021-08-26T06:03:27Z-
dc.date.available2021-08-26T06:03:27Z-
dc.date.issued2019
dc.identifier.urihttps://www.igi-global.com/article/stakeholder-fairness-under-an-induced-veil-of-ignorance/219239
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/1115-
dc.descriptionSumit Sarkar, XLRI, Jamshedpur, India; Soumyakanti Chakraborty, Department of Management Information Systems, Indian Institute of Management, Calcutta, India
dc.descriptionDOI - 10.4018/IJSDS.2019010105
dc.description.abstractJohn Rawls introduced the �veil of ignorance' in social contract theory to bring about a common conception of justice, and hypothesized that it will enable rational individuals to choose distributive shares on basis of �maximin' principle. R. E. Freeman conceptualised stakeholder fairness using the Rawlsian �veil of ignorance'. In contrast to Rawls' theory, John Harsanyi postulated that rational individuals behind the �veil of ignorance' will choose allocation to maximise expected utility. This article investigates how subjects choose allocations behind the �veil of ignorance,' in a laboratory experiment, and interprets the findings in light of stakeholder fairness. The �veil of ignorance' was induced on randomly paired and mutually anonymous subjects, who were asked to choose allocations in a simultaneous move discrete choice Nash demand game. Both �maximin' principle and expected utility maximisation was found to be used by the subjects. Choice of allocations where no one is worse off vis-�-vis status quo was salient. This is consistent with Freeman's Principle of Governance
dc.publisherAR-IIMC
dc.publisherInternational Journal of Strategic Decision Sciences (IJSDS)
dc.relation.ispartofseries10(1)
dc.titleStakeholder Fairness under an Induced 'Veil of Ignorance': Findings From a Laboratory Experiment
dc.typeArticle
Appears in Collections:Management Information Systems

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