图书情报工作

图书情报工作 >

2023 , Vol. 67 >Issue 10: 93 - 106

DOI: https://doi.org/10.13266/j.issn.0252-3116.2023.10.010

情报研究

组态视角下消费者信息搜索策略对搜索效果的影响研究

  • 赵一鸣 ,
  • 潘沛 ,
  • 黄瑶 ,
  • 李倩
展开
  • 1 武汉大学信息资源研究中心 武汉 430072;
    2 武汉大学信息管理学院 武汉 430072;
    3 武汉大学大数据研究院 武汉 430072;
    4 武汉大学图书情报国家级实验教学示范中心 武汉 430072
赵一鸣,教授,博士,博士生导师,E-mail:zhaoyiming@whu.edu.cn;潘沛,硕士研究生;黄瑶,硕士研究生;李倩,硕士研究生

收稿日期: 2022-06-07

  修回日期: 2022-09-26

  网络出版日期: 2023-06-01

基金资助

本文系国家自然科学基金面上项目“探寻式搜索过程中的路径识别与评价研究”（项目编号：71874130）和国家自然科学基金面上项目“‘搜索即学习’视角下的用户学习状态感知与智能响应研究”（项目编号：72274146）研究成果之一。

收起

Research on the Influence of Consumer Information Search Strategies on Search Effect from the Perspective of Configuration

  • Zhao Yiming ,
  • Pan Pei ,
  • Huang Yao ,
  • Li Qian
Expand
  • 1 Center for Studies of Information Resources, Wuhan University, Wuhan 430072;
    2 School of Information Management, Wuhan University, Wuhan 430072;
    3 Big Data Institute, Wuhan University, Wuhan 430072;
    4 National Demonstration Center for Experimental Library and Information Science Education, Wuhan University, Wuhan 430072

Received date: 2022-06-07

  Revised date: 2022-09-26

  Online published: 2023-06-01

Fold

摘要

[目的/意义] 揭示消费者信息搜索行为中带来高信息搜索效果的组态模式。[方法/过程] 采用模糊集定性比较分析的方法，从消费者信息搜索策略层面确定5个变量指标，设计封闭式和开放式两种任务情景，基于用户实验对40名消费者的搜索过程进行分析。[结果/结论] 研究结果表明，两种任务情景下的4种搜索策略模式为高信息搜索效果提供了因果路径解释。这项研究有助于：①对网络信息搜索效果与搜索策略变量之间的关系提供新的见解；②指导消费者在信息搜索过程中更好地与系统交互。

关键词： 搜索效果; 搜索策略; 消费者信息搜索行为; 模糊集定性比较分析

本文引用格式

赵一鸣 , 潘沛 , 黄瑶 , 李倩 . 组态视角下消费者信息搜索策略对搜索效果的影响研究[J]. 图书情报工作, 2023 , 67(10) : 93 -106 . DOI: 10.13266/j.issn.0252-3116.2023.10.010

Abstract

[Purpose/Significance] It reveals the configuration mode that brings high information search effect according to consumers’ information search behavior. [Method/Process] This study used the fuzzy-set qualitative comparative analysis to determine five variable indicators from the level of consumer information search strategy, and designed two task scenarios: closed and open. Based on user experiments, the search process of 40 consumers was analyzed. [Result/Conclusion] The research results show that the four search strategy models under two task scenarios provide causal path explanations for high information search effectiveness. This research is helpful to: 1) provide new insights into the relationship between online information search effectiveness and search strategy variables, and 2) guide consumers to better interact with the system in the information search process.

Key words： search performance; search strategy; consumer information search behavior; fuzzy-set qualitative comparative analysis

参考文献

[1] 中国互联网络信息中心. 第51次中国互联网络发展状况统 计报 告[EB/OL].[2023-03-02]. https://www.cnnic.net.cn/n4/2023/0303/c88-10757.html.
[2] ROSSANTY Y, PUTRA NASUTION M D T. Information search and intentions to purchase:the role of country of origin image, product knowledge, and product involvement[J]. Journal of theoretical & applied information technology, 2018, 96(10):3075-3085.
[3] HAUBL G, TRIFTS V. Consumer decision making in online shopping environments:the effects of interactive decision aids[J]. Marketing science, 2000, 19(1):4-21
[4] 张云秋. 国外探索式搜索行为研究述评[J]. 图书情报工作, 2014, 58(11):6-12, 42.
[5] 易成, 周姗姗. 线上消费者发现"惊喜"的产品搜索行为研究[J]. 中国管理科学, 2016, 24(S1):329-336.
[6] PETERSON R A, MERINO M C. Consumer information search behavior and the internet[J]. Psychology & marketing, 2003, 20(2):99-121.
[7] 池毛毛, 杜运周, 王伟军. 组态视角与定性比较分析方法:图书情报学实证研究的新道路[J]. 情报学报, 2021, 40(4):424- 434.
[8] WILKIE W L. Consumer behavior[M]. 3th ed. New York:Wiley, 1994.
[9] MADICHIE N O. Consumer behavior:buying, having, and being[J]. Management decision, 2009, 47(5):845-848.
[10] 韩正彪, 顾雅楠, 翟冉冉. 国外用户网络信息搜索中的知识变化研究回顾[J]. 情报理论与实践, 2022, 45(2):204-212, 197.
[11] CHEN Y, LIU Y, ZHOU K, et al. Does vertical bring more satisfaction?:predicting search satisfaction in a heterogeneous environment[C]//Association for Computing Machinery. Proceedings of the 24th ACM international on conference on information and knowledge management. Melbourne:ACM, 2015:1581-1590.
[12] WICAKSONO A F, MOFFAT A. Metrics, user models, and satisfaction[C]//Association for Computing Machinery. Proceedings of the 13th international conference on Web search and data mining. New York:ACM, 2020:654-662.
[13] GADIRAJU U, YU R, DIETZE S, et al. Analyzing knowledge gain of users in informational search sessions on the web[C]//Proceedings of the 2018 conference on human information interaction and retrieval. New York:ACM Press, 2018:2-11.
[14] 宋筱璇, 刘畅. 搜索前后用户知识水平的评估及其变化情况分析[J]. 图书情报工作, 2018, 62(2):108-116.
[15] 刘萍, 杨志伟, 苏文婷. 面向探索式搜索的认知结构量化评估[J]. 情报理论与实践, 2019, 42(5):99-105.
[16] VAKKARI P, VOELSKE M, POTTHAST M, et al. Modeling the usefulness of search results as measured by information use[J]. Information processing & management, 2019, 56(3):879-894.
[17] AKALAMKAM K, MITRA J K. Consumer pre-purchase search in online shopping:role of offline and online information sources[J]. Business perspectives and research, 2018, 6(1):42- 60.
[18] 孙玮, 陈洁, 吴蓉. 在线渠道消费者知识和感知对信息搜索效果的影响研究[J]. 南京理工大学学报(社会科学版), 2009, 22(6):32-41, 118.
[19] ZOU J, SUN A, LONG C, et al. Asking clarifying questions:to benefit or to disturb users in web search?[J]. Information processing & management, 2023, 60(2):103176.
[20] LI X, LIANG Z, LIU Y. Information provision and consumer search behavior for products with asymmetric uncertainty[J]. Journal of management science and engineering, 2023, 8(1):49- 82.
[21] BATES M J. Information search tactics[J]. Journal of the American Society for Information Science, 1979, 30(4):205-214.
[22] XIE I, JOO S. Transitions in search tactics during the web-based search process[J]. Journal of the Association for Information Science and Technology, 2010, 61(11):2188-2205.
[23] 袁红. 用户信息搜索策略转换模式研究[J]. 现代情报, 2020, 40(2):44-51.
[24] 赵星, 董晓松, 姜旭平. 风险、知识与记忆对在线搜索进入路径选择的影响研究[J]. 科技管理研究, 2013(5):213-215, 226.
[25] NACHMIAS R, GILAD A. Needle in a hyperstack:searching for information on the world wide web[J]. Journal of research on technology in education, 2002, 34(4):475-486.
[26] HERNER S. Browsing[J]. Encyclopedia of library and information science, 1970, 37(3):408-415.
[27] 袁红. 社会化媒体环境下用户信息浏览策略的效率评价研究[J]. 情报理论与实践, 2017, 40(4):89-94.
[28] KLCKNER K, WIRSCHUM N, JAMESON A. Depth- and breadth-first processing of search result lists[C]//Association for Computing Machinery. Extended abstracts of the conference on human factors in computing systems. Vienna:ACM, 2004:1539.
[29] DUMAIS S T, BUSCHER G, CURTEll E. Individual differences in gaze patterns for web search[C]//Association for Computing Machinery. Proceedings of the third symposium on information interaction in context. New Jersey:ACM, 2010:185-194.
[30] 季璐, 柯青. 基于眼动证据的在线健康社区用户信息浏览行为及影响因素研究[J]. 情报理论与实践, 2021, 44(2):136- 146.
[31] HUNTON J, MCEWEN R. An assessment of the relations between analysts' earnings forecast accuracy, motivational incentives, and cognitive information search strategy[J]. The accounting review, 1997, 72(4):497-515.
[32] TSAI M J, WU A H. Visual search patterns, information selection strategies, and information anxiety for online information problem solving[J]. Computers & education, 2021, 172(11):104236.
[33] FIDEL R. Moves in online searching[J]. Online review, 1985, 9(1):61-74.
[34] 袁红, 施晓玲. 搜索与学习:探索式搜索中的个体学习行为研究[J]. 情报理论与实践, 2019, 42(3):36-42.
[35] 曹高辉, 梁梦丽, 王佳. 任务驱动下社会化问答平台用户信息搜寻行为研究[J]. 情报科学, 2018, 36(1):80-86.
[36] SHAH C, HENDAHEWA C, GONZÁLEZ-IBÁÑEZ R. Rain or shine? Forecasting search process performance in exploratory search tasks[J]. Journal of the Association for Information Science and Technology, 2016, 67(7):1607-1623.
[37] LIAW S S, HUANG H M. Information retrieval from the World Wide Web:a user-focused approach based on individual experience with search engines[J]. Computers in human behavior, 2006, 22(3):501-517.
[38] GEORGE R, ANDREW J R, SHALINI B. Consumers' protection of online privacy and identity[J]. Journal of consumer affairs, 2004, 38(2):217-232.
[39] NAGPAL M, PETERSEN J A. Keyword selection strategies in search engine optimization:how relevant is relevance?[J]. Journal of retailing, 2021, 97(4):746-763.
[40] CHEN Y, ZHAO Y, WANG Z. Understanding online health information consumers' search as a learning process:search platform sequences, query reformulation and conceptual changes[J]. Library hi tech, 2020, 38(4):859-881.
[41] ZHANG P, SOERGEl D. Process patterns and conceptual changes in knowledge representations during information seeking and sensemaking:a qualitative user study[J]. Journal of information science, 2016, 42(1):59-78.
[42] ZHANG G, YANG H, ZHOU G. Vertical search engine:its value analysis and development trend prospect[C]//IEEE International conference on management of e-Commerce and e-Government. Los Alamitos:IEEE, 2014:179-182.
[43] ZHANG Y, SUN Y, KIM Y. The influence of individual differences on consumer's selection of online sources for health information[J]. Computers in human behavior, 2017, 67:303-312.
[44] 赵栋祥, 马费成, 张奇萍. 老年人健康信息搜寻行为的现象学研究[J]. 情报学报, 2019, 38(12):1320-1328.
[45] ZHANG Y. Beyond quality and accessibility:source selection in consumer health information searching[J]. Journal of the Association for Information Science and Technology, 2014, 65(5):911-927.
[46] LOPATOVSKA I. Toward a model of emotions and mood in the online information search process[J]. Journal of the Association for Information Science and Technology, 2014, 65(9):1775- 1793.
[47] 谭海波, 范梓腾, 杜运周. 技术管理能力、注意力分配与地方政府网站建设——一项基于TOE框架的组态分析[J]. 管理世界, 2019, 35(9):81-94.
[48] RAGIN C C. Fuzzy-set social science[M]. Chicago:University of Chicago Press, 2000.
[49] 陈晓宇, 付少雄, 邓胜利. 社会化问答用户信息搜寻的影响因素研究——一种混合方法的视角[J]. 图书情报工作, 2018, 62(20):102-111.
[50] 杜运周, 刘秋辰, 程建青. 什么样的营商环境生态产生城市高创业活跃度?——基于制度组态的分析[J]. 管理世界, 2020, 36(9):141-155.
[51] XIE I. Dimensions of tasks:influences on information-seeking and retrieving process[J]. Journal of documentation, 2009, 65(3):339-366.
[52] MARCHIONINI G. Information seeking strategies of novices using a full-text electronic encyclopedia[J]. Journal of the American Society for Information Science, 1989, 40(1):54-66.
[53] SCHNEIDER C Q, WAGEMANN C. Set-theoretic methods for the social sciences:a guide to qualitative comparative analysis[M]. Cambridge:Cambridge University Press, 2012.
[54] RAGIN C C. Redesigning social inquiry:fuzzy sets and beyond[M]. Chicago:University of Chicago Press, 2008.
[55] MISANGYI V F, GRECKHAMER T, FURNARI S, et al. Embracing causal complexity:the emergence of a neoconfigurational perspective[J]. Journal of management, 2016, 43(1):255-282.
[56] RAGIN C C. The comparative method:moving beyond qualitative and quantitative strategies[J]. Social forces, 1987, 67(3):123-129.
[57] FISS P C. A set-theoretic approach to organizational configurations[J]. The academy of management review, 2007, 32(4):1180-1198.
[58] 张明, 杜运周. 组织与管理研究中QCA方法的应用:定位、策略和方向[J]. 管理学报, 2019(9):1312-1323.
[59] 赵一鸣, 潘沛, 毛进. 基于任务知识融合与文本数据增强的医学信息查询意图强度识别研究[J]. 数据分析与知识发现, 2023, 7(2):38-47.
[60] 袁红, 孙煜栋. 时间关联性信息搜索行为的特点及搜索能力对其影响的研究[J]. 情报理论与实践, 2018, 41(6):87-93.
[61] 赵一鸣. 智能时代的搜索与问答服务创新研究[M]. 北京:科学出版社, 2020.
[62] VAKKARI P. Searching as learning:a systematization based on literature[J]. Journal of information science, 2016, 42(1):7-18.
[63] 刘奕群. 搜索引擎用户满意度评估[J]. 计算机研究与发展, 2017, 54(6):1133-1143.
[64] FAINSHMIDT S, WITT M A, AGUILERA R V, et al. The contributions of qualitative comparative analysis (QCA) to international business research[J]. Journal of international business studies, 2020, 51(4):455-466.
Options
文章导航

/

〈 〉