期刊论文

Knowledge Sharing of Competitive Crowdsourcing Community Based on fsQCA

中文

数据分析与知识发现

2096-3467

2019

3

11

60-69

10.11925/infotech.2096-3467.2019.0339

国家自然科学基金面上项目(71471074)

本校为第一机构

【目的】通过分析众包社区的知识贡献者,获得知识贡献的不同构型,从而引导社区成员进行知识共享。 【方法】采用基于模糊集的定性比较分析方法,以竞赛式众包社区中进行知识贡献的社区成员为研究对象,从社区环境、动机理论、沉没成本效应三个方面划分条件变量,将知识贡献程度设为结果变量,以获得知识贡献的构型。【结果】高程度知识贡献为:(1)有管理员引导的社区,可通过圈币奖励与沉没成本(时间或金钱)引导社区成员进行高程度的知识贡献;(2)已有金钱投入的社区成员,可通过圈币与计入时长引导其进行高程度的知识贡献。低程度知识贡献为:(1)在缺乏管理员引导的社区,社区成员难以获得高程度的知识贡...

[Objective] This paper analyzes the contributions of the crowdsourcing community members,aiming to encourage them to share more knowledge.[Methods] We adopted qualitative comparison method based on fuzzy sets to study these members from a competitive knowledge crowdsourcing community.Then,we chose condition variables from community environment,motivation theory,and sunk cost effect.Finally,we used the degree of knowledge contribution as the result variable.[Results] There are two types of high-level knowledge sharing configurations:(I) Communities with administrators could lead members to a hi...