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A Framework for Modeling Construction Organizational Competencies and Performance

机译:建筑组织能力和表现的框架

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The variables that characterize construction organizational competencies are both quantitative and qualitative in nature, and thus require measurement methods and modeling techniques that can handle both variable types. Models that are capable of relating organizational competencies to performance provide a critical advantage in the identification of target areas leading to improved performance. This paper proposes a framework to develop a fuzzy hybrid model for mapping organizational competencies to performance. To achieve these objectives, different fuzzy modeling techniques, such as fuzzy rule-based (FRB) systems and fuzzy neural networks (FNNs) are explored. This study highlights research gaps related to organizational competency and performance studies in developing models at the organization level. The proposed framework outlines modeling procedures that enable the integration of fuzzy modeling techniques with other approaches that exhibit learning capabilities. The proposed model captures organizational competencies as input by using various competency evaluation criteria, and provides organizational performance as an output using multiple performance metrics. Finally, the model assists researchers and industry practitioners in evaluating the competencies of construction organizations and in analyzing their impact on organizational performance.
机译:表征施工组织能力的变量是定量和定性的性质,因此需要可以处理两个可变类型的测量方法和建模技术。能够将组织能力与性能相关的模型在识别目标区域的识别方面提供了关键优势,这是导致改善性能的目标区域。本文提出了一种开发模糊混合模型的框架,以便将组织能力映射到性能。为了实现这些目的,探讨了不同的模糊建模技术,例如基于模糊规则(FRB)系统和模糊神经网络(FNNS)。本研究强调了与组织级别开发模型的组织能力和绩效研究相关的研究差距。所提出的框架概述了建模程序,使模糊建模技术能够与表现出学习能力的其他方法集成。该建议的模型通过使用各种能力评估标准将组织能力捕获为输入,并将组织性能作为使用多种性能指标的输出提供。最后,该模型协助研究人员和行业从业人员评估建筑组织的能力,并在分析他们对组织绩效的影响。

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