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A Framework for Modeling Construction Organizational Competencies and Performance

机译:建筑组织能力和绩效建模框架

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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:表征建筑组织能力的变量本质上既是定量的又是定性的,因此需要能够处理这两种变量类型的度量方法和建模技术。能够将组织能力与绩效联系起来的模型在确定目标领域并提高绩效方面提供了关键优势。本文提出了一个框架,用于开发用于将组织能力映射到绩效的模糊混合模型。为了实现这些目标,探索了不同的模糊建模技术,例如基于模糊规则(FRB)的系统和模糊神经网络(FNN)。这项研究突出了与组织能力和绩效研究相关的研究差距,这些差距在组织层面上发展模型中。提议的框架概述了建模过程,该过程使模糊建模技术与其他具有学习能力的方法相集成。所提出的模型通过使用各种能力评估标准来捕获组织能力作为输入,并使用多个绩效指标将组织绩效作为输出提供。最后,该模型可帮助研究人员和行业从业人员评估建筑组织的能力,并分析其对组织绩效的影响。

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