Decision Making under Compliance Uncertainty

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dc.contributor.authorLee, Taesikko
dc.contributor.authorShin, Kyohongko
dc.contributor.authorSong, Yoorimko
dc.date.accessioned2021-03-18T01:50:23Z-
dc.date.available2021-03-18T01:50:23Z-
dc.date.created2021-03-15-
dc.date.issued2019-10-23-
dc.identifier.citation2019 INFORMS annual meeting-
dc.identifier.urihttp://hdl.handle.net/10203/281668-
dc.description.abstractIn many decision making problems in healthcare, decision makers are different from those who perform them, and compliance with optimal solution is often a concern; optimal policy is not followed and it results in suboptimal outcomes. Based on a conjecture that compliance with optimal decisions is influenced by preferences (or biases) of the decision performer, we formulate a sequential decision making problem that accounts for decision performers’ preferences. A policy solution from this formulation is sub-optimal to the original decision problem, but yields better outcome under less than full compliance environment. Characteristics of the policy solutions are illustrated with examples.-
dc.languageEnglish-
dc.publisherINFORMS-
dc.titleDecision Making under Compliance Uncertainty-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname2019 INFORMS annual meeting-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationWashington State Convention Center & Sheraton Seattle Hotel-
dc.contributor.localauthorLee, Taesik-
dc.contributor.nonIdAuthorSong, Yoorim-
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IE-Conference Papers(학술회의논문)
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