A Bayesian model of design imperfections in online feedback systems and their relative impacts
type: Item
instance of: scholarly article
title: A Bayesian model of design imperfections in online feedback systems and their relative impacts
zbMATH Open document ID: 1217.91083
DOI: 10.1504/IJMOR.2011.040878
author: Menglin Cao
author: Ming Zhou
published in: International Journal of Mathematics in Operational Research
publication date: 2011-07-28T00:00:00Z
review text: Summary: Recent studies have proposed an overwhelming number of solutions to design imperfections of online feedback systems. However, in what sequence the imperfections should be perfected is yet to be operationalised. In this study, we focused upon the relative damages of design imperfections in order to understand the urgency to deal with each imperfection and develop an operational sequence. The effectiveness of online feedback systems was defined using a Bayesian model. The relative damages were then consistently evaluated using the effectiveness criteria. We concluded that identity changing deserved the highest priority on an auction manager's to do list.
Mathematics Subject Classification ID: 91B26
Mathematics Subject Classification ID: 68M11
Mathematics Subject Classification ID: 91A26
zbMATH DE Number: 5933716
zbMATH Keywords: online feedback systems
zbMATH Keywords: Bayesian models
zbMATH Keywords: rank ordering
zbMATH Keywords: feedback imperfections
zbMATH Keywords: feedback system design
zbMATH Keywords: decision making
zbMATH Keywords: design imperfections
zbMATH Keywords: identity changing
zbMATH Keywords: auction management
MaRDI profile type: Publication
full work available at URL: ijmor.2011.040878
OpenAlex ID: W1998195665
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description: scientific article; zbMATH DE number 5933716