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Understanding relational virtual community members’ satisfaction from a social learning perspective
Journal of Knowledge Management ( IF 8.689 ) Pub Date : 2020-06-13 , DOI: 10.1108/jkm-12-2019-0683
Shih-Wei Chou

This study develops a belief-value-satisfaction model based on social cognitive theory. This paper aims to explain how relational virtual community (RVC) members’ beliefs on individual features and environments can be transformed into satisfaction through social learning strategies.,The authors followed a longitudinal, quasi-experimental field approach to collect data from two phases, which entailed the key informant approach to get the responses from those who participated in knowledge exchange in VC. The authors used partial least squares to examine the proposed hypotheses.,Satisfaction is measured as two dimensions – outcome and process. Value creation is conceptualized as social self-regulated learning (SRL), and its antecedents include lead userness, learning goal orientation and social influence. The results show that both dimensions of satisfaction are affected by social SRL, which in turn is influenced by learning goal orientation and social influence.,A systematic research for understanding satisfaction from a social learning perspective in relational virtual community settings remains absent. This study explains why and how relational virtual community members’ social SRL serves the role in leveraging resources and reducing uncertainty, from which they gain satisfaction.

中文翻译:

从社交学习角度了解关系虚拟社区成员的满意度

本研究建立了基于社会认知理论的信念-价值满意模型。本文旨在解释如何通过社会学习策略将关系虚拟社区(RVC)成员对个人特征和环境的信念转化为满意度。作者遵循纵向,准实验领域的方法从两个阶段收集数据,需要关键的信息提供者方法,以获取参与VC中知识交流的人们的反馈。作者使用偏最小二乘法来检验所提出的假设。满意度的度量是两个维度:结果和过程。价值创造被概念化为社会自我调节学习(SRL),其先决条件包括潜在用户,学习目标取向和社会影响力。结果表明,满意度的两个维度都受到社会SRL的影响,而社交SRL又受学习目标取向和社会影响力的影响。在相关的虚拟社区环境中,缺乏从社会学习的角度理解满意度的系统研究。这项研究解释了关系虚拟社区成员的社会SRL为什么以及如何在利用资源和减少不确定性中发挥作用,从而使他们获得了满意。
更新日期:2020-06-13
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