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This paper aims to develop a hybrid causal model based on the inverse probability weighting (IPW) and Bayesian additive regression trees (BART) as an advanced machine learning technique. IPW relies on parametric logistic regression model to estimate the propensity scores, however, the required...
This paper is written for the purpose of demonstrating a new way of applying analytic hierarchy process (AHP) and data envelopment analysis (DEA) in examining the performance of university funded academic research projects. Three stages of multi-criteria analysis were employed in this study...
Initial investment for construction of a power plant is an important issue which technologies and methods are moving forward to minimise the total costs. Therefore, a power plant should be established in a region which will increase the reliability and efficiency with minimum total cost. In this...
The purpose of this research paper is to investigate the impact of doctor's skills on patient's satisfaction, loyalty and behavioural compliance in Syrian healthcare setting. Convenience sampling method was used to select 301 patients from six hospitals, in the Syrian capital Damascus, to...
This paper presents the African sectors' technical efficiencies and the technical change gaps. The non-parametric data envelopment analysis (DEA) is employed using the standard input-oriented BCC model. The technical coefficients of 25 sectors are examined using the IO tables of 2005 and 2013...
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