Analyzing the Performance of Listed Companies with Specific Data, an Application of Data Envelopment Analysis (DEA) with a Network Structure
Subject Areas : International Journal of Data Envelopment AnalysisM Matinfar 1 , Masomeh Taheri 2 *
1 - Science of Mathematics Faculty, Department of Mathematics, University of Mazandaran,P.O.Box 47416-95447, Babolsar, Iran
2 - Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran
Keywords: Data Envelopment Analysis, Efficiency, Network Structure,
Abstract :
This paper explores the efficiency of listed companies using data envelopment analysis (DEA) with network structure. The DEA method, as a non-parametric technique, provides the possibility to evaluate the efficiency of decision-making units (DMU) based on multiple input and output data. In this paper, DEA approach with a network structure presents a more complex model that allows considering the internal structure of production processes and the transmission of variables during different stages. In this regard, specific data related to listed companies for a specific period are collected and used. This data includes various inputs such as total assets, total equity of capital owners, allocable profit, registered capital, total assets, equity to asset ratio and capital to asset ratio. A two-stage network is addressed in this paper. First, a two-stage network according to the production feasibility set is modelled, and then, according to the modified SBM structure, the efficiency of the first and second stages and its total efficiency are obtained. The obtained results contribute to a deeper understanding of the factors affecting the efficiency of companies, their weaknesses and strengths, and strategies to improve efficiency. This research can provide valuable insights to company managers, investors, and other stakeholders to make better decisions.
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