首页> 外文会议>International Conference on Research and Innovation in Information Systems >Information security professional perceptions of knowledge-sharing intention in virtual communities under social cognitive theory
【24h】

Information security professional perceptions of knowledge-sharing intention in virtual communities under social cognitive theory

机译:信息安全专业知识在社会认知理论下虚拟社区中知识共享意图的看法

获取原文

摘要

Knowledge sharing is an important component of knowledge management systems. Security knowledge sharing substantially reduces risk and investment in information security. Despite the importance of information security, little research based on knowledge sharing has focused on the security profession. Therefore, this study analyses key factors, containing attitude, self-efficacy, personal outcome expectation, and facilitating condition, in respect of the information security workers intention to share knowledge. Information security professionals in virtual communities, including the Information Security Professional Association (ISPA), Information Systems Security Association (ISSA), Society of Information Risk Analysts (SIRA), and LinkedIn security groups, were surveyed to test the proposed research model. Confirmatory factor analysis (CFA) and the structural equation modelling (SEM) technique were used to analyse the data and evaluate the research model. The results showed that the research model fit the data well and the structural model suggests a strong relationship between attitude and knowledge sharing intention. Hypotheses regarding the influence of self-efficacy and personal outcome expectation, to knowledge sharing attitude were upheld. Facilitating condition showed significant influences on moderating between attitude and intention.
机译:知识共享是知识管理系统的重要组成部分。安全知识共享大幅降低信息安全的风险和投资。尽管信息安全的重要性,但基于知识共享的小型研究都集中在安全专业。因此,这项研究分析了含有态度,自我效力,个人结果预期和促进条件的关键因素,就信息安全工作者分享了知识的意图。根据信息安全专业协会(ISPA),信息系统安全协会(ISSA),信息风险分析师(SIRA)和LinkedIn安全组织和LinkedIn安全组织,以及Linkedin安全组织,以及LinkedIn安全组织,包括信息安全专业人员,包括信息安全专业人员,包括信息安全专业协会(ISPA),以及LinkedIn安全组织。确认因子分析(CFA)和结构方程建模(SEM)技术用于分析数据并评估研究模型。结果表明,研究模型适合数据良好,结构模型表明态度和知识共享意图之间的牢固关系。对自我效能感和个人结果期望的影响,对知识分担态度的影响得到了维持。促进病情表明对态度和意图之间的调节性的重大影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号