Measuring the true managerial efficiency of bank branches in Taiwan: A three-stage DEA analysis

Shyu, Jonchi; Chiang, Terri

doi:10.1016/j.eswa.2012.04.005

Cited by 73 publications

(42 citation statements)

References 16 publications

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“…Thus, multistage models may be considered as special cases of network DEA models (see Färe & Grosskopf, 20 0 0 and Lewis & Sexton, 2004 for a brief review). A large number of previous research models has examined multistage DEA modeling in different areas, including banking, insurance, and healthcare (see for example Chilingerian & Sherman, 2011;Ebrahimnejad, Tavana, Lotfi, Shahverdi, & Yousefpour, 2014;Kao & Hwang, 2008;Matthews, 2013;Seiford & Zhu, 1999;Shyu & Chiang, 2012;Wang, Gopal, & Zionts, 1997 ). Although different variations of network DEA models have been proposed ( Kao, 2014 ), the vast majority of studies considers two-stages.…”

Section: Multistage Evaluation Of National Innovation Systemsmentioning

confidence: 99%

A multilevel and multistage efficiency evaluation of innovation systems: A multiobjective DEA approach

Carayannis

Grigoroudis

Goletsis

2016

Expert Systems with Applications

138

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Section: Multistage Evaluation Of National Innovation Systemsmentioning

confidence: 99%

A multilevel and multistage efficiency evaluation of innovation systems: A multiobjective DEA approach

Carayannis

Grigoroudis

Goletsis

2016

Expert Systems with Applications

138

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“…Currently, many scholars have constantly applied the new type of measurement model to the research into industrial efficiency and obtained some achievements. For example, the banking industry (Ebrahimnejad et al, 2014;Shyu and Chiang, 2012), the transportation industry (Cui and Li, 2014), the R&D industry (Hsu and Hsueh, 2009). The three-stage DEA model is composed of two traditional BCC models and one SFA model.…”

Section: Three-stage Dea Modelmentioning

confidence: 99%

The energy efficiency of China’s regional construction industry based on the three-stage DEA model and the DEA-DA model

et al. 2015

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China's construction industry has constantly been confronted with the problems, such as high resource consumption, serious pollution and low energy efficiency. Thus, improving the energy efficiency of the construction industry and reducing its energy consumption can not only promote the sustainable development of the socio-economy and eco-economy, but also enhance the overall development level of the construction industry. In the context, the objectives are to put forward a set of systematic methodologies for measuring the energy efficiency of the regional construction industry and analyzing its change trends. First, the energy efficiency index system of the construction industry and its influencing factors are constructed through the literature review. Second, two research methods (the three-stage Data Envelopment Analysis (DEA) model and the Data Envelopment Analysis-Discriminant Analysis (DEA-DA) model) are applied to analyze the energy efficiency in 30 provinces of China and the change trends from 2003 to 2011. The results indicate that after eliminating the influence of the environment factors and random errors, the energy efficiency values of the construction industry in most of the provinces were improved. The mean of China's energy efficiency of the construction industry in each year was approximately 0.92. Except Shandong with the lowest values, the mean of the other provinces was over 0.8, which reflected that the energy management and utilization levels in the construction industry were relative mature. However, the energy efficiency in most of provinces fluctuated constantly during these nine years, with the peak in 2004 and a downward trend in the overall efficiency after 2004. From the regional aspect, the energy efficiency of the construction industry in the eastern, central and western regions decreased successively; as the development level of the local economy had less significant effects on the energy efficiency, the gaps among the three regions were not obvious.

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“…In this way, the production approaches and intermediation approaches were evaluated within a unified model. Shyu and Chiang (2012) studied management efficiency of 123 bank branches in Taiwan by a three-stage data envelopment analysis method. Shyu and Chiang (2012) found that the results obtained by three-stage method were significantly different from the results obtained by traditional methods.…”

Section: Application Of Dea Methods In Banking Industriesmentioning

confidence: 99%

“…Shyu and Chiang (2012) studied management efficiency of 123 bank branches in Taiwan by a three-stage data envelopment analysis method. Shyu and Chiang (2012) found that the results obtained by three-stage method were significantly different from the results obtained by traditional methods. Kord et al (2011) conducted a study in order to determine relative efficiency of bank branches and to offer solutions for improving the efficiency of inefficient branches.…”

Section: Application Of Dea Methods In Banking Industriesmentioning

confidence: 99%

A Hybrid Approach Based on Multi-Criteria Satisfaction Analysis (MUSA) and a Network Data Envelopment Analysis (NDEA) to Evaluate Efficiency of Customer Services in Bank Branches

Khalili‐Damghani¹,

Taghavifard²,

Karbaschi³

2015

Industrial Engineering and Management Systems

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A hybrid procedure based on multi-Criteria Satisfaction Analysis (MUSA) and a Network Data Envelopment Analysis (NDEA) is proposed to evaluate the relative efficiency of customer services in bank branches. First, a three-stage process including sub-processes such as customer expectations, customer satisfaction, and customer loyalty, is defined to model the banking customer services. Then, fulfillment of customer expectations, customer loyalty level, and the customer satisfaction degree are measured and quantified through a multi-dimensional questionnaire based on customers' perceptions analysis and MUSA method, respectively. The customer services scores and the other criteria such as mean of employee evaluation score, operation costs, assets, deposits, loans, number of accounts are considered in network three-stage DEA model. The proposed NDEA model is formed based on multipliers perspective, outputoriented, and constant return to scale assumptions. The proposed NDEA model quantifies and assesses the total efficiency of main process and assigns the efficiency to customer expectations, customer satisfactions, and customer loyalties sub-processes in bank branches. The whole procedure is applied on 30 bank branches in IRAN. The proposed approach can be used in other organizations such as airports, airline agencies, urban transportation systems, railway organizations, chain stores, chain restaurants, public libraries, and entertainment centers.

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Measuring the true managerial efficiency of bank branches in Taiwan: A three-stage DEA analysis

Cited by 73 publications

References 16 publications

A multilevel and multistage efficiency evaluation of innovation systems: A multiobjective DEA approach

A multilevel and multistage efficiency evaluation of innovation systems: A multiobjective DEA approach

The energy efficiency of China’s regional construction industry based on the three-stage DEA model and the DEA-DA model

A Hybrid Approach Based on Multi-Criteria Satisfaction Analysis (MUSA) and a Network Data Envelopment Analysis (NDEA) to Evaluate Efficiency of Customer Services in Bank Branches

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