A Bayesian model of design imperfections in online feedback systems and their relative impacts

Ming Zhou and Menglin Cao

International Journal of Mathematics in Operational Research, 2011, vol. 3, issue 4, 451-471

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.

Keywords: online feedback systems; Bayesian models; rank ordering; feedback imperfections; feedback system design; decision making; design imperfections; identity changing; auction management. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=40878 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijmore:v:3:y:2011:i:4:p:451-471

Access Statistics for this article

More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().