图书情报知识 ›› 2018, Vol. 0 ›› Issue (3): 103-112.doi: 10.13366/j.dik.2018.03.0103

• 知识、学习与管理 • 上一篇    下一篇

在线问答社区中参与者知识行为研究综述

齐云飞,赵宇翔,朱庆华   

  • 出版日期:2018-05-10 发布日期:2018-05-10

A Review on Participants’ Knowledge Behaviors in Online Q&A Community

  • Online:2018-05-10 Published:2018-05-10

摘要:

作为一种重要的知识交互平台,在线问答社区改变了传统的知识搜索与服务模式,实现了集体智慧的整合与利用。在线问答社区存在着多种参与者,他们彼此关联共同影响着社区的平衡与发展。对此,文章希望从个体、环境和生态系统等多种视角揭示在线问答社区参与者的知识行为和他们之间的关系。文章首先梳理了国内外在线问答社区参与者知识行为的最新研究成果,根据社会认知理论提出了多层次的参与者知识行为影响因素框架;之后,研究依据该框架从提问者、回答者和平台管理者三个视角对参与者涉及的知识行为类型和影响因素进行分析;最后,根据Bronfenbrenner的生态系统理论提出了在线问答社区参与者的生态系统模型。本文提出的生态系统模型从多个层次揭示了参与者知识行为的交互影响关系和动态发展过程,对在线问答社区生态系统的管理与维护具有一定借鉴意义。

关键词: 在线社区, 问答社区, 知识行为, 分享动机, 参与意愿, 生态系统模型

Abstract:

As an important knowledge interactive platform, the online Q&A community has changed the traditional knowledge search and service mode, and collective wisdom is fully integrated and utilized. There are a number of participants in the online Q&A community, which are interactive and affect the balance and development of the community. This paper is intended to reveal the knowledge behaviors of participants in online Q&A community and their interactions from various perspectives such as individuals, environment and ecosystem.This paper firstly reviews the recent achievements on the knowledge behavior of online Q&A community participants, and puts forward the framework of influencing factors of knowledge behavior based on the theory of social cognition; Based on the framework, we analyze the types of knowledge behavior and the influencing factors from the perspectives of questioner, respondents and platform manager; Finally, according to Bronfenbrenner's ecosystem theory, an ecosystem model of online Q&A community participants has been proposed. The ecological system model proposed in this paper reveals the interaction and dynamic development process of the participants' knowledge behavior from multiple levels, which is of great significance to the management and maintenance of online Q&A community ecosystem.

Keywords: Online community, Q&A community; , Knowledge behavior; , Sharing motivation; , Participation intention, Ecosystem model