Improving comparison shopping agents' competence through selective price disclosure

Chen Hajaj, Noam Hazon, David Sarne

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The plethora of comparison shopping agents (CSAs) in today's markets enables buyers to query more than a single CSA when shopping, and an inter-CSAs competition naturally arises. We suggest a new approach, termed "selective price disclosure", which improves the attractiveness of a CSA by removing some of the prices in the outputted list. The underlying idea behind this approach is to affect the buyer's beliefs regarding the chance of obtaining more attractive prices. The paper presents two methods, which are suitable for fully-rational buyers, for deciding which prices among those known to the CSA should be disclosed. The effectiveness and efficiency of the methods are evaluated using real data collected from five CSAs. The methods are also evaluated with human subjects, showing that selective price disclosure can be highly effective in this case as well; however, the disclosed subset of prices should be extracted in a different (simplistic) manner.

Original languageEnglish
Pages (from-to)563-581
Number of pages19
JournalElectronic Commerce Research and Applications
Volume14
Issue number6
DOIs
StatePublished - 1 Oct 2015

Bibliographical note

Funding Information:
This research was partially supported by the Israel Science Foundation (Grant Nos. 1083/13 and 1488/14 ) and the ISF-NSFC joint research program (Grant No. 2240/15 ).

Publisher Copyright:
© 2015 Elsevier B.V. All rights reserved.

Keywords

  • Belief adjustment
  • Comparison shopping agents
  • E-commerce
  • Experimentation
  • Information disclosure

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