... overlapping criteria issue by data envelopment analysis (DEA) methods. The first approach uses all dimensional criteria and “dimensional overlapping criteria” in a single DEA model. The second approach consists of two-stage DEA. The first stage is to find SD dimensional performances, which are used...

... a new data envelopment analysis (DEA) environmental cross-efficiency measure that considers DMUs' alliances. Each DMUs' alliance is formulated by the DMUs who are supervised by the same manager. In cross-efficiency evaluation context, this paper adopts DMUs' alliances rather than individual DMUs...

..., sustainable and stable development of China's banking industry. Design/methodology/approach This paper mainly uses the two-stage data envelope analysis (DEA) model under meta-frontier and group frontier to study the deposit and loan efficiency changes of 16 banks from 2007 to 2014 under ownership...

... allocation of resources between the bank savings system and loan system under the premise of environmental heterogeneity. Design/methodology/approach We use a two-stage meta-frontier Data Envelopment Analysis model to solve the relative efficiency of each city branch and use the multivariate statistical...

... banks and city commercial banks) and different operation stages (deposit producing sub-stage, profit earning sub-stage and overall stage). Design/methodology/approach Assurance region (AR) restrictions are combined with a two-stage data envelopment analysis (DEA) model. The efficiency scores of 26...

.... The purpose of this paper is to investigate causal links between the efficiency of information technology (IT) applications and bank performance using data envelopment analysis. Design/methodology/approach The study adopts the DEA approach to evaluate the bank level cost and IT efficiency. The Vector...

... To achieve the above-mentioned objective, one possible method is to calculate the data envelopment analysis (DEA) efficiency, and the scale efficiency (SE) of targets, and in order to consider the variability across different samples, a bootstrap scheme has been applied. Findings The results showed...

... that influence the effects of carbon abatement on environmental productivity growth. Design/methodology/approach Using data envelopment analysis with directional distance function, this study examines productivity growth associated with carbon abatement under regulated and unregulated production technologies...

...Vahid Shokri Kahi; Saeed Yousefi; Hadi Shabanpour; Reza Farzipoor Saen Purpose The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation...

.... Terjesena et al., 2011). It argues that a firm can achieve competitive advantage by handling an efficient material flow process, careful utilization of assets; and acquisition and dissemination of superior process knowledge (Tan et al., 2007). UK Data envelopment analysis...

... Publishing Limited 2014 Performance measurement Data envelopment analysis Manufacturing industry Turkish SMEs DEA is a linear programming technique that provides dynamic collective comparative results for evaluating the productivity of organizations based on multiple inputs and outputs. DEA...

... is employed using a cross-sectional research design. The operational and financial data of 38 leading airlines companies were collected from annual reports and business reports. Specifically, this study integrated the concepts of balanced scorecard (BSC) and data envelopment analysis (DEA) and incorporated...