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This paper proposes a methodology for dynamic enterprise process performance evaluation with metric measurement models based on Activity-Based Costing and Activity-Based Management (ABC/ABM) for six types of process flows within manufacturing enterprises, including activity flow, product information flow, resource flow, cost flow, cash flow, and profit flow.
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The measurement model based upon a confirmatory factor analysis indicated that each of our measures was related to the latent variables with determination coefficients ranging from.92 to.01.
To describe this influence, we establish the Doppler frequency measurement model based on pulsar timing.
For irregular forgings, a measurement model based on line laser scanning is first constructed and then a solution of the optical center motion trail on the basis of the chessboard reference plane is proposed.
This paper presents a trusted measurement model based on dynamic policy and privacy protection in IaaS security domain, called TMMDP.
The first stage involved building a measurement model based on a confirmatory factor analysis (CFA), and examining the descriptive statistics, and assessing the validity and reliability.
In this paper, we proposed a trusted measurement model based on dynamic policy and privacy protection in IaaS security domain that can implement the effective trust measurement and protect the privacy of user's virtual machine.
TMMDP, a trusted measurement model based on dynamic policy and privacy protection in IaaS security domain, is proposed, divided into front-end and back-end measure modules in the model, front-end measurement module to detect virtual machine file security and back-end measurement module to detect network behavior security.
Using 130 capital projects and a longitudinal design, this study develops a performance-measurement model based on changes in project-management performance during the execution phase.
Measurement invariance models based on factor analysis, and their IRT equivalents, are then used to align the results of the current assessment cycle to the reference scale (Yamamoto and Mazzeo 1992; Bauer and Hussong 2009; Mazzeo and von Davier 2008, 2013).
Particularly, several groups including Arnold, Xu, Barman, Dingari and associates, among many others [ 7– 10], have already called the reliability of the transcutaneous glucose measurement calibration models based on NIR absorption spectroscopy or Raman spectroscopy into question.
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