Search Results for data-envelope-analysis-dea-
Abstract
The research aims to measure and analyze the total effect (direct and indirect) between the administrative ability of the research sample banks (the independent variable) and the lending behavior (the dependent variable) through the employment determinant (the mediator variable). 8 commercial banks were used, or 23% of the total listed banks In the Iraqi Stock Exchange of 35 banks for the period (2006-2020). Administrative capacity has an important role in the allocation and diversification of investments, including loans, which have suffered from a high concentration recently due to the low levels of administrative capabilities of the research sample banks. Management ability was measured and analyzed using Data Envelope Analysis (DEA), and lending behavior was measured by Herfndahl-Hirschman analysis method, and employment was measured by the natural log ratio of the number of employees. The hypotheses of the study were tested using the statistical program (SmartPLS.v.3.) The research reached a set of results, the most important of which is that there is a significant effect of the administrative ability of the research sample banks in the lending behavior through the employment determinant, and this research concluded with a number of recommendations, the most important of which is the need to pay attention The research sample banks raise the levels of their administrative capacity because of their positive effects on directing lending behavior through the employment determinant.
Abstract
Measure the efficiency of decision-making units (DMUs) using quantitative approaches plays important role to help decision maker to enhance the organization efficiency. Also, integrating more than one quantitative approach have received more attention recently. This paper presents an efficient computational approach which consist of integrating two multi-criteria decision making approaches. The first is the data envelopment analysis (DEA) model and it used to measure the efficiency of the DMUs based on their inputs and outputs and the second approach is Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The presented approach has teased using dataset as in [12] of municipal services in Thi Qar Province, focusing on seven municipalities within the region. Using the presented approach, first we identify the relative efficiency using DEA models. Second, we rank all DMUs that reach full efficiency. Using a dataset comprising three inputs and three outputs associated with municipal services. The result of paper shows that this approach is reliable and easy to implement and it is suitable for helping the decision maker to reach the optimal decision for sustainable evaluation.