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A network hierarchical feedback system for Taiwanese universities based on the integration of total quality management and innovation

机译:基于全面质量管理与创新相结合的台湾大学网络分层反馈系统

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An increasing number of Taiwanese universities are improving operational performance through innovation and total quality management (TQM). In addition, the National Quality Award (NQA), which is based on TQM, is now used to evaluate quality performance in various industries in Taiwan. Thus, several models for performance measurement have been proposed in recent years. However, these models do not take into account several features germane to performance within the Taiwanese university system, such as characteristics unique to the integration of TQM and innovation, comprehensive focuses in operational performance improvement across different types of universities, and interrelations among the different variables used to measure performance. Thus, precisely measuring and improving operation performance has proven to be a difficult task. The aim of this paper is to construct a network hierarchical feedback system (NHFS) based on the integration of TQM and innovation to overcome these problems. To that end, we adopted a decision-making trial and evaluation laboratory (DEMATEL) method to address the complex, interdependent relationships among the variables and thereby construct a relation structure among the measurement criteria for evaluation purposes. A fuzzy analytic network process (FANP) is employed to overcome the problem of dependence and feedback among each of the TQM measurement criteria. A fuzzy analytic hierarchical process (FAHP) is used to evaluate the measurement criteria for innovation performance. Lastly, a gray relational analysis (GRA) is utilized to find optimal alternatives. The value of this study comes from providing all types of universities in Taiwan the most complete evaluation system of operational performance, as well as opportunities to realize improved competitive advantages and enhanced prospects for survival.
机译:越来越多的台湾大学通过创新和全面质量管理(TQM)来改善运营绩效。此外,基于TQM的国家质量奖(NQA)现在用于评估台湾各个行业的质量绩效。因此,近年来已经提出了几种用于性能测量的模型。但是,这些模型没有考虑与台湾大学体系内的绩效密切相关的几个特征,例如,TQM与创新相结合所独有的特征,全面关注不同类型大学的运营绩效改善以及不同变量之间的相互关系。用于衡量效果。因此,精确测量和改善操作性能已被证明是一项艰巨的任务。本文的目的是构建基于TQM和创新的网络分层反馈系统(NHFS),以克服这些问题。为此,我们采用了决策试验和评估实验室(DEMATEL)方法来解决变量之间复杂,相互依存的关系,从而构建用于评估目的的度量标准之间的关系结构。采用模糊分析网络过程(FANP)来克服每个TQM测量标准之间的依赖性和反馈问题。模糊层次分析法(FAHP)用于评估创新绩效的衡量标准。最后,利用灰色关联分析(GRA)查找最佳替代方案。这项研究的价值在于为台湾所有类型的大学提供最完整的运营绩效评估系统,以及为提高竞争优势和增强生存前景提供机会。

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