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现代图书情报技术  2016, Vol. 32 Issue (4): 1-7     https://doi.org/10.11925/infotech.1003-3513.2016.04.01
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
多会话商品信息搜寻行为、情境及影响因素研究*
刘洪莲,张鹏翼(),王军
北京大学信息管理系 北京 100871
Multi-session Product Information Seeking Behaviors, Motivation, and Influencing Factors
Liu Honglian,Zhang Pengyi(),Wang Jun
Department of Information Management, Peking University, Beijing 100871, China
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摘要 

目的】研究电商用户在多会话网购过程中的商品信息搜寻的行为特征、会话时间间隔特征以及购物网站使用特征, 并探究行为背后的情境、原因和动力。【方法】基于某电商网站4 285个用户的1 409 160条访问日志, 利用顺序分析和聚类分析方法挖掘用户信息搜寻行为特征, 结合访谈研究行为背后的情境、原因等影响因素。【结果】多会话网购用户信息需求并不急切, 较之搜索更倾向于查看商品详情; 平均会话时间间隔为3-4天; 继续原来购物任务的动力包括个人偏好、需求状态、支付能力、时间等方面的因素; 用户主要通过搜索、购物车、收藏夹、同店或同款商品浏览、商品个性化推荐等途径回到原来购物任务。【局限】访谈结果受样本数量限制, 不具有普适性。【结论】有助于理解用户的复杂网购行为, 指导购物网站提高服务质量, 改善用户体验。

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刘洪莲
张鹏翼
王军
关键词 多会话网络购物信息搜寻行为购物网站    
Abstract

[Objective] This research aims to examine the information seeking behavior patterns and contextual factors of online shoppers’ multi-sessional activities. [Methods] First, we analyzed 1,409,160 logs of an online shopping Web site (generated by 4,285 users) to discover their information seeking behaviors. Second, we used in-depth interviews to explore the users’ motivations. [Results] We found that multi-session shoppers were more likely to check detailed introduction to the products than simply browsing. The average interval between each session was 3 to 4 days. Personal preferences, needs, financial ability and time might lead the users to restore their previous sessions. Searching, shopping carts, bookmarks, browsing and personalized recommendation services were the major channels for users to restore previous sessions. [Limitations] Because of the limited number of participants, results from the interviews might not be generalizable to the whole population. [Conclusions] This research helps us understand the complex online shopping behaviors as well as improve services and user experience of E-commence Web sites.

Key wordsMulti-session online shopping    Information seeking behavior    E-commerce Web site
收稿日期: 2015-11-12      出版日期: 2016-05-13
基金资助:*本文系国家自然科学基金项目“面向电子商务生态平衡的目录导购机制研究”(项目编号: 71373015)的研究成果之一
引用本文:   
刘洪莲,张鹏翼,王军. 多会话商品信息搜寻行为、情境及影响因素研究*[J]. 现代图书情报技术, 2016, 32(4): 1-7.
Liu Honglian,Zhang Pengyi,Wang Jun. Multi-session Product Information Seeking Behaviors, Motivation, and Influencing Factors. New Technology of Library and Information Service, 2016, 32(4): 1-7.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2016.04.01      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2016/V32/I4/1
[1] 中国互联网络信息中心. 2014年中国网络购物市场研究报告[EB/OL].
[1] (CNNIC. The 2014 Report of China’s Online Shopping Market Research [EB/ OL]. )
[2] Senecal S, Kalczynski P J, Nantel J.Consumers’ Decision- Making Process and Their Online Shopping Behavior: A Clickstream Analysis[J]. Journal of Business Research, 2005, 58(11): 1599-1608.
[3] Moe W W.Buying, Searching, or Browsing: Differentiating Between Online Shoppers Using In-Store Navigational Clickstream[J]. Journal of Consumer Psychology, 2003, 13(1): 29-39.
[4] 袁兴福, 张鹏翼, 刘洪莲, 等. 基于点击流的电商用户会话建模[J]. 图书情报工作, 2015, 59(1): 119-126.
[4] (Yuan Xingfu, Zhang Pengyi, Liu Honglian, et al.Modeling E-commerce User Session Behaviors Based on Click-through Sequences[J]. Library and Information Service, 2015, 59(1): 119-126.)
[5] Lee J, Podlaseck M, Schonberg E, et al.Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising[A]. // Applications of Data Mining to Electronic Commerce[M]. Springer, 2001: 59-84.
[6] 王蕾. 基于信息需求的消费者网络信息搜寻行为研究[J]. 情报理论与实践, 2013, 36(7): 90-93.
[6] (Wang Lei.Information Seeking Behavior Research Based on Information Need of Consumers[J]. Information Studies: Theory & Application, 2013, 36(7): 90-93.)
[7] 张文君, 王军, 徐山川. 电商用户需求状态的聚类分析——以淘宝网女装为例[J]. 现代图书情报技术, 2015(3): 67-74.
[7] (Zhang Wenjun, Wang Jun, Xu Shanchuan.The Probing of E-commerce User Need States by Page Cluster Analysis —— An Empirical Study on Women’s Clothes from Taobao.com[J]. New Technology of Library and Information Service, 2015(3): 67-74.)
[8] Gillenson M L, Sherrell D L.Enticing Online Consumers: An Extended Technology Acceptance Perspective[J]. Information & Management, 2002, 39(8): 705-719.
[9] Engel J F, Blackwell R D, Miniard P W.Consumer Behavior[J]. Journal of Consumer Policy, 1986, 9(4): 481.
[10] Teo T S, Yeong Y D.Assessing the Consumer Decision Process in the Digital Marketplace[J]. Omega, 2003, 31(5): 349-363.
[11] H?ubl G, Trifts V.Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids[J]. Marketing Science, 2000, 19(1): 4-21.
[12] Lin S J, Belkin N J.Modeling Multiple Information Seeking Episodes [C]. In: Proceedings of the 63rd Annual Meeting of ASIS, 2000.
[13] Vakkari P.A Theory of the Task-Based Information Retrieval Process: A Summary and Generalisation of a Longitudinal Study[J]. Journal of Documentation, 2001, 57(1): 44-60.
[14] Spink A.Multiple Search Sessions Model of End‐User Behavior: An Exploratory Study[J]. Journal of the American Society for Information Science, 1996, 47(8): 603-609.
[15] Komlodi A, Soergel D.Attorneys Interacting with Legal Information Systems: Tools for Mental Model Building and Task Integration[J]. Proceedings of the American Society for Information Science and Technology, 2002, 39(1): 152-163.
[16] 刘洪莲, 张鹏翼, 王军. 多会话网络购物商品信息搜寻行为研究[J]. 图书情报工作, 2015, 59(14): 117-125.
[16] (Liu Honglian, Zhang Pengyi, Wang Jun.Product Information Seeking Behavior of Multi-session Online Shopping Tasks[J]. Library and Information Service, 2015, 59(14): 117-125.)
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