An empirical study of user decision making behavior in e-commerce

Dongning Yan*, Li Chen

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

2 Citations (Scopus)

Abstract

The large number of customer reviews and inconsistent writing style make it difficult for users to digest information and make online purchasing decisions. In light of human decision making theory, an in-depth understanding of user decision making behaviors serves as the foundation of effective information displays. In this paper, we conduct a formative study to empirically investigate user decision making behaviors in online hotel booking, in particular, with respect to customer reviews. Through analysis of the results, we identify the information decision makers are inclined to seek and the decision strategies they utilize to process information in three stages of online purchasing.

Original languageEnglish
Title of host publicationHCI in Business - 2nd International Conference, HCIB 2015 Held as Part of HCI International 2015, Proceedings
EditorsFiona Fui-Hoon Nah, Chuan-Hoo Tan
PublisherSpringer Verlag
Pages414-426
Number of pages13
ISBN (Print)9783319208947
DOIs
Publication statusPublished - 2015
Event2nd International Conference on HCI in Business, HCIB 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: 2 Aug 20157 Aug 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9191
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on HCI in Business, HCIB 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
Country/TerritoryUnited States
CityLos Angeles
Period2/08/157/08/15

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • Customer review
  • E-commerce
  • Human decision making
  • User study

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