图书情报工作

图书情报工作 >

2018 , Vol. 62 >Issue 20: 102 - 111

DOI: https://doi.org/10.13266/j.issn.0252-3116.2018.20.012

情报研究

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

  • 陈晓宇 ,
  • 付少雄 ,
  • 邓胜利
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  • 1. 新加坡南洋理工大学黄金辉传播与信息学院 新加坡 637718;
    2. 武汉大学信息管理学院 武汉 430072
陈晓宇(ORCID:0000-0003-1741-0674),博士研究生;邓胜利(ORCID:0000-0001-7489-4439),系主任,教授,博士,博士生导师。

收稿日期: 2018-04-10

  修回日期: 2018-07-03

  网络出版日期: 2018-10-20

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Analyzing the Influencing Factors of Internet Users' Information-seeking Behavior: A Mixed-method Perspective

  • Chen Xiaoyu ,
  • Fu Shaoxiong ,
  • Deng Shengli
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  • 1. Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore 637718;
    2. School of Information Management, Wuhan University, Wuhan 430072

Received date: 2018-04-10

  Revised date: 2018-07-03

  Online published: 2018-10-20

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摘要

[目的/意义]虽然已有学者通过实证分析社会化问答用户信息搜寻的影响因素，但是目前研究还未探究影响因素间的搭配组合对信息搜寻的影响。为解决这一研究局限，从混合方法的视角出发，在回归分析方法的基础上借助定性比较分析法（qualitative comparative analysis，QCA）来深化对用户特征因素和激励因素之间搭配组合产生影响的认识。[方法/过程]通过回顾先前关于网络用户信息搜寻行为影响因素的研究，指出可以采用QCA来尝试解决存在的研究局限，并以社会化问答用户信息搜寻为实例，运用回归分析方法和QCA方法分析社会化问答社区用户信息搜寻行为的影响因素，比较和总结这两种方法得到的结果。[结果/结论]研究表明，回归分析有助于研究者发现哪些因素会对网络用户的信息搜寻行为产生显著影响，而QCA方法有助于研究者发现这些影响因素如何组合搭配来产生影响作用。

关键词： 社会化问答; 用户信息行为; 信息搜寻行为; 混合方法; 定性比较分析; 回归分析

本文引用格式

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 . DOI: 10.13266/j.issn.0252-3116.2018.20.012

Abstract

[Purpose/significance] Although previous studies have examine the influencing factors of users' information-seeking in social Q&A communities, current knowledge about the impact of the configurations of these factors on users' information-seeking is limited.[Method/process] To fill this gap, this study uses a mixed methods combining the regression analysis and qualitative comparative analysis (QCA) to explore the configurations of the factors that exert a profound effect on users' information-seeking in social Q&A communities.[Result/conclusion] This study show that the findings from the analysis by using regression analysis contribute to exploring what factors may affect users' information-seeking; whereas the findings from the analysis by using QCA contribute to understanding the configurations of these influencing factors of users' information-seeking.

Key words： social Q&A; user information behavior; information-seeking behavior; mixed-method qualitative comparative analysis (QCA); regression analysis

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