A three-stage Data Envelopment Analysis model with application to banking industry

Ebrahimnejad, Ali; Tavana, Madjid; Lotfı, Farhad Hosseinzadeh; Shahverdi, Reza; Yousefpour, Mohamad

doi:10.1016/j.measurement.2013.11.043

Cited by 91 publications

(62 citation statements)

References 87 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

130

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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

130

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“…The traditional DEA treats DMUs as black boxes and calculates their (Ebrahimnejad et al, 2014). Besides, another method to calculate the efficiency (the SFA model) ignores the random errors have the effects on the efficiency value.…”

Section: Three-stage Dea Modelmentioning

confidence: 99%

“…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 relation to their productive efficiency. Existing applications of DEA include particularly analysing the productive performance of health care services (Deidda et al 2014); assessment of transport systems (Fancello et al 2014;Zhou et al 2014), measuring environmental performance (Nabavi-Pelesaraei et al 2014;Yang et al 2014), performance of financial systems (Ebrahimnejad et al 2014;Gunawan, Shieh 2014;Perek 2014) and indicate significant potential for use of the method in other areas. The Data Envelopment Analysis method occupies an important place in the comparative efficiency studies in the public sector worldwide.…”

Section: Please Scroll Down For Articlementioning

confidence: 99%

Innovative Application of Contemporary Management Methods in a Knowledge-Based Economy – Interdisciplinarity in Science

Ejdys

Ustinovichius

Stankevičienė

2014

Journal of Business Economics and Management

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Interdisciplinarity, which is a part of the research paradigm in all fields of science, constitutes a real challenge in research. It manifests itself particularly in the diversity of the undertaken research topics, in the variety of the adopted research approaches (theoretical, methodological, normative, empirical-descriptive), and in the flexibility and the ability to see both the scientific problems as well as the economic and social needs. The ability to cross the boundaries between the fields of technical and social sciences, to identify problems and to seek solutions at the frontiers of scientific disciplines, the eagerness to work in research teams diverse in terms of competence, age and skills, creating conditions for both the personal development and that of individual team members, breaking the stereotypical ways of thinking in the process of solving problems and anticipating future events are all features of an academic culture nurtured by Professor Joanicjusz Nazarko. The paper highlights the research of Professor Joanicjusz Nazarko, presents a review of his extensive scientific work and lists some of his publications.

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A three-stage Data Envelopment Analysis model with application to banking industry

Cited by 91 publications

References 87 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

Innovative Application of Contemporary Management Methods in a Knowledge-Based Economy – Interdisciplinarity in Science

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