A comparison of purchase decision calculus between potential and repeat customers of an online store

Hee Woong Kim, Sumeet Gupta

Research output: Contribution to journalArticle

61 Citations (Scopus)

Abstract

Potential and repeat customers of an online store possess different amount of information and use different criteria for making purchase decisions. Internet vendors should therefore adopt different sales strategies for creating initial sales and generating repeat sales. Yet little is known about the differences in online purchase decision making between the two customer groups. This study examines the differences between potential and repeat customers based on mental accounting theory and information processing theory. We found that value perception (of transactions made with the online vendor) as an overall judgment for decision making is more strongly influenced by the non-monetary (perceived risk) factor than by the monetary factor (perceived price) for potential customers, whereas it is more strongly influenced by the monetary factor than by the non-monetary factor for repeat customers. The findings of our study would help Internet vendors develop customized strategies for creating initial sales and repeat sales.

Original languageEnglish
Pages (from-to)477-487
Number of pages11
JournalDecision Support Systems
Volume47
Issue number4
DOIs
Publication statusPublished - 2009 Nov 1

Fingerprint

Calculi
Sales
Decision making
Internet
Decision Making
Information Theory
Purchase decision
Repeats
Automatic Data Processing
Vendors
Factors
Repeat sales
World Wide Web

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Information Systems
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Information Systems and Management

Cite this

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A comparison of purchase decision calculus between potential and repeat customers of an online store. / Kim, Hee Woong; Gupta, Sumeet.

In: Decision Support Systems, Vol. 47, No. 4, 01.11.2009, p. 477-487.

Research output: Contribution to journalArticle

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