Exploring the determinants of knowledge adoption in virtual communities: A social influence perspective
Exploring the determinants of knowledge adoption in virtual communities: A social influence perspective
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DOI：
10.1016/j.ijinfomgt.2015.02.001
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发表时间：
2015-06-01
影响因子：
21
通讯作者：
Tang, Tzung-I
中科院分区：
文献类型：
--
作者：
Chou, Chien-Hsiang;Wang, Yi-Shun;Tang, Tzung-I
本研究旨在探讨网络知识采纳的决定因素，信息和规范的社会影响。现有的在线知识采纳研究主要集中在知识提供者的角度。然而，知识接受者也在知识采纳中发挥着根本性作用。以信息规范社会影响理论为理论基础，考察了信息规范因素对网络知识采纳的影响。在此基础上，本文提出了一个知识采纳的理论模型，其中知识质量和来源可信度是知识采纳的信息决定因素，而知识共识和知识评级是知识采纳的规范决定因素。此外，时间压力被假设为影响知识采纳的双重评价过程的调节因子。从510名受访者收集的数据进行了测试，对研究模型使用偏最小二乘法。研究结果表明，信息性和规范性因素对知识采纳都有正向影响，而时间压力对知识采纳行为的两个评价过程有不同方向的影响。理论和实践的贡献也概述。(c)2015爱思唯尔有限公司版权所有。
This study aims to explore the determinants of online knowledge adoption with respect to informational and normative social influences. Existing studies on online knowledge adoption have primarily focused on the perspective of knowledge provider. Knowledge recipients, however, also play a fundamental role in knowledge adoption. Informational and normative social influence theory is utilized as the theoretical foundation to investigate the influences of informational and normative factors on online knowledge adoption. Based on the theories and previous literature, this study proposes a theoretical model of knowledge adoption, in which knowledge quality and source credibility serve as informational determinants, whereas knowledge consensus and knowledge rating serve as normative determinants. In addition, time pressure is hypothesized to be a moderator that impacts the dual evaluation process toward knowledge adoption. Data collected from 510 respondents was tested against the research model using the partial least squares approach. The findings demonstrate that both informational and normative determinants had positive effects on knowledge adoption, while the moderating test indicates that time pressure exerted influences with different directions on the two evaluation processes of adopting behavior. Theoretical and practical contributions are also outlined. (c) 2015 Elsevier Ltd. All rights reserved.