ABSTRACT

Social networking sites (SNSs) are widely used to support online learning and knowledge exchange (KE) in projects that require the coordination of collaborative team-playing, especially in COVID-19 world pandemic. Paradoxically, while digital infrastructures enable instant communication, SNSs are not always conducive to KE behaviours, as learners are reticent to exchange knowledge with their peers online due to trust issues like personal privacy and Intellectual property rights protection, leads online users to conceal knowledge. Given that online-based KE practices are still in their infancy, one major weakness in current educational and knowledge management research is the lack of a reliable scale to measure knowledge-hiding online. This study develops and validates a novel Online Knowledge-hiding (OKH) scale that keeps into account the distinctive features of SNSs. While building on prior measurements of knowledge-hiding, we identify, test, and validate different indicators of the latent OKH construct. A mixed-method approach to scale development was used to validate this scale. Results show that the proposed scale is effective for organisations to assess whether online knowledge-hiding takes place during KE activities. The usefulness of this scale lies in improving the online collaborative learning environment while setting the foundation to address KE-related deviant behaviours at their incipit.

摘要

社交网站 (SNS) 被广泛用于支持需要协调团队合作的项目中的在线学习和知识交流 (KE)，特别是在 COVID-19 世界大流行期间。矛盾的是，虽然数字基础设施可以实现即时通信，但社交网络并不总是有利于知识获取行为，因为由于个人隐私和知识产权保护等信任问题，学习者不愿与同伴在线交流知识，导致在线用户隐藏知识。鉴于基于在线的知识获取实践仍处于起步阶段，当前教育和知识管理研究的一个主要弱点是缺乏可靠的量表来衡量在线知识隐藏。本研究开发并验证了一种新颖的在线知识隐藏（OKH）量表，该量表考虑了 SNS 的独特特征。在建立知识隐藏的先前测量的基础上，我们识别、测试和验证潜在 OKH 构造的不同指标。使用量表开发的混合方法来验证该量表。结果表明，所提出的量表对于组织评估知识获取活动期间是否发生在线知识隐藏是有效的。该量表的用处在于改善在线协作学习环境，同时为解决与 KE 相关的异常行为奠定基础。使用量表开发的混合方法来验证该量表。结果表明，所提出的量表对于组织评估知识获取活动期间是否发生在线知识隐藏是有效的。该量表的用处在于改善在线协作学习环境，同时为解决与 KE 相关的异常行为奠定基础。使用量表开发的混合方法来验证该量表。结果表明，所提出的量表对于组织评估知识获取活动期间是否发生在线知识隐藏是有效的。该量表的用处在于改善在线协作学习环境，同时为解决与 KE 相关的异常行为奠定基础。