因果模型的性能测量系统,结合定性和定量模型的鲁棒性结果

Sokhna Faye Bessane, M. Camara, Ibrahima Fall, A. Bah
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引用次数: 2

摘要

最近的研究经常提出绩效评估系统的定量或定性因果模型。我们还依赖于一些关于SMP因果模型的研究成果。本研究强调了绩效评估系统因果模型研究的两种方法:定量方法和定性方法。事实上,定性模型缺乏精度,并且定性模型在层次部署中面临数据收集问题。因此,应该注意的是,这两种方法的结合对于smp来说是非常罕见或不存在的。因此,提出一种结合这两种方法的模型的想法,因为这些方法也有一定的局限性。根据我们的研究,我们注意到这两种方法的互补性,因为结合这两种方法可以增强结果的丰富性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Causal model of performance measurement systems by combining qualitative and quantitative models for robust results
Recent research often suggests ideas about quantitative or qualitative causal models of performance measurement systems. We also rely on some works that develop ideas on causal models of SMP. This research has highlighted two approaches in the study of causal models of performance measurement systems: the quantitative and qualitative approach. Indeed, the qualitative models lack precision and the qualitative models are confronted with problems of data collection in hierarchical level deployment. Therefore, it should be noted that the combination of these two methods is very rare or non-existent for the SMPs. Hence the idea of proposing a model that combines the two, because these approach also have certain limits. According to our studies we note a complementarity because to combine these two methods reinforces the richness and the validity of the results.
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