An Experimental Study on User Satisfaction and Comparison Shopping Agents for Product Evaluation

Juan Manuel Gomez Reynoso, Bengisu Tulu, Kamla Al-Busaidi, Terry Ryan

Research output: Contribution to conferencePaperpeer-review


Comparison-shopping agents (CSA) are intelligent agents designed to find product information based on the search criteria specified by customers. This research evaluated the effects of CSA on customers’ purchasing decisions. The determinants of user satisfaction are analyzed by comparing two different technologies, CSA and search engines, in a particular task of finding relevant information for purchasing books. Information quality and system quality were the two dependent variables in the research model. The independent variable was information search technology: a search engine or a CSA. Two experimental groups were used. The first group used a search engine and the second group used comparison-shopping agents during the experiment to purchase books. First group was not allowed to use any comparison-shopping agent. The sample size was 57 and 53 respectively for each group. Sample was randomly selected among students and faculty members of a Mexican university. Data analysis are conducted using t-test.

Original languageEnglish
Number of pages9
Publication statusPublished - 2004
Externally publishedYes
Event10th Americas Conference on Information Systems, AMCIS 2004 - New York, United States
Duration: Aug 6 2004Aug 8 2004


Conference10th Americas Conference on Information Systems, AMCIS 2004
Country/TerritoryUnited States
CityNew York


  • Comparison-shopping agent
  • consumer satisfaction
  • Intelligent Agents
  • online shopping
  • product evaluation

ASJC Scopus subject areas

  • Library and Information Sciences
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications

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