The Impact of Query Suggestion in E-Commerce Websites

نویسندگان

  • Alice Lee
  • Michael Chau
چکیده

In this paper we propose a research agenda for studying the impact of query suggestion features on cognitive load and customer satisfaction during online shopping in e-commerce websites. Despite the popular use of query suggestion features in search engines and large e-commerce websites such as Amazon.com and eBay, there is little research in this area. Based on a review on prior literature in query suggestion and online shopping, a research model and five hypotheses are posed. A lab experiment is proposed to test the hypotheses and potential implications of the research are discussed.

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تاریخ انتشار 2011