Measuring and improving the efficiency of the Chinese commercial banking system has recently attracted increasing interest. Few studies, however, have adopted the two-stage network DEA to explore this issue in the Chinese context. Because the entire operational process of the banking system could be divided into two sub-processes (deposit producing and profit earning), the evaluation of the sub...

Abstract This paper deals with an inverse data envelopment analysis (DEA) based on the non-radial slacks-based model in presence of uncertainty employing both integer and continuous interval data. To this matter, suitable technology formulation for DEA are proposed using arithmetic partial orders numbers. The is discussed from following question: if output $$DMU_o$$ <mml:math xmlns:mml="http://...

In the linear system Ax = b the points x are sometimes constrained to lie in a given subspace S of column space of A. Drazin inverse for any singular or nonsingular matrix, exist and is unique. In this paper, the singular consistent or inconsistent constrained linear systems are introduced and the effect of Drazin inverse in solving such systems is investigated. Constrained linear system arise ...

This paper presents a new robust two-stage Data Envelopment Analysis (DEA) for efficiency evaluation of the electricity power production and distribution companies. DEA has been widely used for benchmarking the electricity companies. Traditional studies in DEA consider systems as a whole when measuring the efficiency, ignoring the operation of individual processes within a system. To tackle thi...

Data envelopment analysis (DEA) is a non-parametric technique for evaluation of relative efficiency of decision making units described by multiple inputs and outputs. It is based on solving linear programming problems. Since 1978 when basic DEA model was introduced many its modifications were formulated. Among them are two or multi-stage models with serial or parallel structure often called net...

Introduction Collaborative innovation is a trans-disciplinary approach for developing the wholeness synergy to improve the competitiveness of an organization through holistic, competitive and complementary interactions between and among innovation participants in a specific environment (Bommert, 2010; Swink, 2006). The collaborative innovation system essentially consists of three sectors: indus...

A widely publicized series of mergers has characterized the banking industry in recent years. Shareholder returns from these mergers have often been disappointing. This study finds delays in implementing potential operating savings and realizing benefits of scale economies may be one reason bank mergers have disappointing returns. We analyze a 200 branch network formed in a merger of four banks...