Effects of the User-Need State for Online Shopping: Analyzing Search Patterns

Hsin Kai Yu, I. Chin Wu

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

With the fast growth of e-commerce and the emerging trend of “New Retail”—that is, online and offline integration—the important research issues are how to know the best ways to collect and analyze users’ search behaviors online for a streamlined shopping process. Accordingly, we proposed a search pattern analytical method to analyze users’ search behavior in the entire shopping process on the target website from the perspective of the users’ need states. We have focused on the recommendation functions (RFs) and the search functions on Taobao.com to evaluate the effectiveness of each RF to support the online shopping process in different user-need states, namely in a goal-oriented or an exploratory-based approach to online shopping. We first adopted zero-order state transition matrices and then used lag sequential analysis (LSA) to derive the significant repeating search patterns. The results show that the goal-oriented shoppers tend to search directly, whereas exploratory shoppers tend to explore the categories of products as their initial RFs. In addition, goal-oriented users have much more simple search paths compared to the exploratory-based users when engaged in online shopping. Furthermore, based on the results of the LSA, there are two typical search patterns for goal-oriented users and no search pattern for the exploratory ones. Interestingly, the results reveal that exploratory-based users are easily stimulated by context even if they have moved to specific stores. The aim of this research is to summarize users’ search paths and patterns with different need states to help the e-store design the website.

原文英語
主出版物標題Information in Contemporary Society - 14th International Conference, iConference 2019, Proceedings
編輯Michelle H. Martin, Bonnie Nardi, Natalie Greene Taylor, Caitlin Christian-Lamb
發行者Springer Verlag
頁面554-561
頁數8
ISBN(列印)9783030157418
DOIs
出版狀態已發佈 - 2019 一月 1
對外發佈Yes
事件14th International Conference on Information in Contemporary Society, iConference 2019 - Washington, 美国
持續時間: 2019 三月 312019 四月 3

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11420 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議14th International Conference on Information in Contemporary Society, iConference 2019
國家美国
城市Washington
期間19/3/3119/4/3

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • 引用此

    Yu, H. K., & Wu, I. C. (2019). Effects of the User-Need State for Online Shopping: Analyzing Search Patterns. 於 M. H. Martin, B. Nardi, N. G. Taylor, & C. Christian-Lamb (編輯), Information in Contemporary Society - 14th International Conference, iConference 2019, Proceedings (頁 554-561). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11420 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-15742-5_53