A Bayesian model of design imperfections in online feedback systems and their relative impacts. (27th June 2011)

• Record Type: Journal Article
• Authors: Zhou, Ming; Cao, Menglin
• Is Part Of: International journal of mathematics in operational research. Volume 3:Number 4(2011)
• Page Start: 451
• Page End: 471
• Publication Date: 2011-06-27
• Subjects: online feedback system -- Bayesian model -- rank-ordering feedback imperfections -- feedback system design and decision; Operations research -- Mathematical models -- Periodicals; Operations research -- Mathematics -- Periodicals; Decision making -- Mathematical models -- Periodicals; 658.4033
• Languages: English
• ISSNs: 1757-5850

Abstract

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.