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Applying fuzzy AHP to evaluate the sustainability of knowledge-based virtual communities in healthcare industry

机译:应用模糊层次分析法评估医疗行业知识型虚拟社区的可持续性

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Knowledge sharing is a critical issue in information-rich and knowledge-intensive industry e.g. healthcare industry. The collaborative group of Knowledge-based virtual communities is a way for promote knowledge sharing, which might improve the performance of organizations in competitive environment. However, it is difficult to choose and introduce the appropriate knowledge-based virtual community, owing to characteristics of intrinsic ambiguity and lack of evaluating methods. In this paper, we propose a feasible appraising approach based on fuzzy AHP to decide the sustainability priority of various types of virtual communities in healthcare industry. In order to validate this framework, a case study was conducted to demonstrate the analysis processes and results. Data of pair-wise comparison for fuzzy AHP were collected by questionnaires. The results indicate that community of practice possesses highest priority, the next is e-learning community, and the lowest is ordinary forum. Thus, the managers of healthcare could allocate resource to develop various types of knowledge-based virtual communities according to their priority.
机译:知识分享是信息丰富和知识密集型行业的一个关键问题。医疗保健行业。基于知识的虚拟社区的协同组是促进知识共享的一种方式,这可能会改善组织在竞争环境中的表现。然而,由于内在模糊性和缺乏评估方法,难以选择和介绍适当的基于知识的虚拟社区。在本文中,我们提出了一种基于模糊AHP的可行评价方法,以决定医疗行业各类虚拟社区的可持续性优先级。为了验证此框架,进行了一个案例研究以展示分析过程和结果。由问卷收集模糊AHP的配对比较数据。结果表明,实践群落具有最优先的优先级,下一步是电子学习界,最低的是普通论坛。因此,医疗保健管理人员可以根据其优先级分配资源以开发各种类型的知识虚拟社区。

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