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On measurement of intangible assets: a study of robustness of partial least squares

机译:关于无形资产的计量:偏最小二乘的稳健性研究

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摘要

The customer asset is an important intangible. Its value depends, for example, on the customer satisfaction level. Thus, it is important to monitor that level, and to identify cost-efficient actions to improve it. The European Customer Satisfaction Index (ECSI) system is based on a structural model for suck monitoring, a model that is estimated by partial least squares (PLS). The robustness of PLS applied on an ESCI-like measurement model is studied in the present paper. Monte Carlo simulations show that PLS is reasonably robust against multicollinearity, skew response distributions and various types of model misspecifications. This is true, in particular, when estimating the customer satisfaction index.
机译:客户资产是重要的无形资产。它的价值取决于例如客户满意度。因此,重要的是监视该级别,并确定可提高其成本效益的措施。欧洲客户满意度指数(ECSI)系统基于吸吮监控的结构模型,该模型由偏最小二乘(PLS)估算。本文研究了在类似ESCI的测量模型上应用PLS的鲁棒性。蒙特卡洛模拟显示,PLS在多重共线性,偏斜响应分布以及各种类型的模型错误指定方面具有相当强的鲁棒性。尤其是在估计客户满意度指数时。

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