Integrating analytic network process and data envelopment analysis for efficiency measurement of Turkish commercial banks

The purpose of this paper is to provide a two-stage multicriteria approach integrating analytic network process (ANP) and data envelopment analysis (DEA) for financial performance evaluation of banks. In the first stage ANP is used and the weights of the criteria for banks’ financial performance evaluation are derived. In the second stage data for the criteria, which are the outputs of DEA, have been used to calculate the relative efficiency scores of the banks. The weights obtained in the first stage have been used to construct the assurance region (AR) constraints for the output weights. In order to show the applicability and usefulness of this approach it is applied to the financial performance measurement of 21 Turkish commercial banks. The aim of the application is to determine the relative efficiency scores with and without the weight restrictions and compare the ranking of decision making units (DMUs), in this case the commercial banks. The findings showed that ranking of banks differ and the discriminatory power of DEA model increases with the weight restrictions imposed on the output weights. The ANP-DEA integrated approach provides a methodology for decision makers and/or policy makers to incorporate managerial judgments and preferences into the efficiency measurement framework in which a nonparametric commonly used method, DEA, is employed. There is a lack of research in the literature utilizing ANP in the performance measurement of financial institutions and also integrating ANP with DEA in banking. This study allows the decision makers to evaluate the efficiency of banks, which have a great role in the economy of any country, to rank the banks and also include their preferences in the evaluation process.

[1]  E. N. Ozkan-Gunay,et al.  Efficiency Analysis of the Turkish Banking Sector in Precrisis and Crisis Period: A DEA Approach , 2006 .

[2]  T. Saaty Axiomatic foundation of the analytic hierarchy process , 1986 .

[3]  Rozann Whitaker,et al.  Validation examples of the Analytic Hierarchy Process and Analytic Network Process , 2007, Math. Comput. Model..

[4]  M. Hassan,et al.  Efficiency, Ownership and Market Structure, Corporate Control and Governance in the Turkish Banking Industry , 2003 .

[5]  Emmanuel Thanassoulis,et al.  Weights restrictions and value judgements in Data Envelopment Analysis: Evolution, development and future directions , 1997, Ann. Oper. Res..

[6]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[7]  Joseph Sarkis,et al.  A methodology for monitoring system performance , 2002 .

[8]  Russell G. Thompson,et al.  DEA/AR profit ratios and sensitivity of 100 large U.S. banks , 1997 .

[9]  Allen N. Berger,et al.  Efficiency of financial institutions: International survey and directions for future research , 1997 .

[10]  Bo Hsiao,et al.  Using fuzzy super-efficiency slack-based measure data envelopment analysis to evaluate Taiwan's commercial bank efficiency , 2011, Expert Syst. Appl..

[11]  Z Yang,et al.  Assessing the performance of Canadian bank branches using data envelopment analysis , 2009, J. Oper. Res. Soc..

[12]  Minwir Al-Shammari,et al.  Modeling the operating efficiency of banks: a nonparametric methodology , 1998 .

[13]  Ali Emrouznejad,et al.  Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years , 2008 .

[14]  R. Banker,et al.  Performance measurement in the financial services sector: Frontier efficiency methodologies and other innovative techniques. , 2010 .

[15]  Ayhan Gölcükcü,et al.  Data Envelopment Analysis: An Application to Turkish Banking Industry , 2002 .

[16]  Joseph Sarkis,et al.  A comparative analysis of DEA as a discrete alternative multiple criteria decision tool , 2000, Eur. J. Oper. Res..

[17]  Birsen Karpak,et al.  Small medium manufacturing enterprises in Turkey: An analytic network process framework for prioritizing factors affecting success , 2010 .

[18]  Sunil Kumar,et al.  An Examination of Technical, Pure Technical, and Scale Efficiencies in Indian Public Sector Banks using Data Envelopment Analysis , 2008 .

[19]  Luis G. Vargas,et al.  Decision Making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks , 2013 .

[20]  Joseph C. Paradi,et al.  Two-stage evaluation of bank branch efficiency using data envelopment analysis , 2011 .

[21]  Cengiz Kahraman,et al.  Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS , 2009, Expert Syst. Appl..

[22]  P. Andersen,et al.  A procedure for ranking efficient units in data envelopment analysis , 1993 .

[23]  E. Davis,et al.  Output and Productivity in Banking , 1992 .

[24]  James A. Ohlson FINANCIAL RATIOS AND THE PROBABILISTIC PREDICTION OF BANKRUPTCY , 1980 .

[25]  Barton A. Smith,et al.  Comparative Site Evaluations for Locating a High-Energy Physics Lab in Texas , 1986 .

[26]  M. Hassan,et al.  Technical, scale and allocative efficiencies of Turkish banking industry , 2002 .

[27]  Thomas L. Saaty,et al.  The Analytic Hierarchy and Analytic Network Processes for the Measurement of Intangible Criteria and for Decision-Making , 2016 .

[28]  T. Saaty Fundamentals of the analytic network process — Dependence and feedback in decision-making with a single network , 2004 .

[29]  Hung-Tso Lin,et al.  Personnel selection using analytic network process and fuzzy data envelopment analysis approaches , 2010, Comput. Ind. Eng..

[30]  George Halkos,et al.  Efficiency measurement of the Greek commercial banks with the use of financial ratios: a data envelopment analysis approach , 2004 .

[31]  T. Kohers,et al.  Market perception of efficiency in bank holding company mergers: the roles of the DEA and SFA models in capturing merger potential , 2000 .

[32]  M R Khadivi,et al.  Solid waste facilities location using of analytical network process and data envelopment analysis approaches. , 2012, Waste management.

[33]  Mariya A. Sodenkamp,et al.  The Analytic Hierarchy and Analytic Network Measurement Processes: The Measurement of Intangibles Decision Making under Benefits, Opportunities, Costs and Risks , 2010 .

[34]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[35]  Joeseph Sarkis,et al.  A methodological framework for evaluating environmentally conscious manufacturing programs , 1999 .

[36]  William H. Beaver,et al.  Market Prices, Financial Ratios, And Prediction Of Failure , 1968 .

[37]  Ioannis E. Tsolas,et al.  Relative profitability and stock market performance of listed commercial banks on the Athens Exchange: a non-parametric approach , 2011 .

[38]  Cevdet A. Denizer,et al.  Financial liberalization and banking efficiency: evidence from Turkey , 2007 .

[39]  Russell G. Thompson,et al.  DEA/AR efficiency and profitability of Mexican banks a total income model , 1997 .

[40]  Rachita Gulati,et al.  Measuring efficiency, effectiveness and performance of Indian public sector banks , 2009 .

[41]  Tihomir Hunjak,et al.  AHP BASED MODEL FOR BANK PERFORMANCE EVALUATION AND RATING , 2001 .

[42]  R. Sheikhrabori,et al.  Project Portfolio Selection in electrical company based on the Analytic Network Process and Data Envelopment Analysis , 2018 .

[43]  M. H. Eken,et al.  Measuring Bank Branch Performance Using Data Envelopment Analysis (DEA): The Case of Turkish Bank Branches , 2011 .

[44]  Quey-Jen Yeh The Application of Data Envelopment Analysis in Conjunction with Financial Ratios for Bank Performance Evaluation , 1996 .

[45]  Esra Karasakal,et al.  R&D Project Performance Evaluation With Multiple and Interdependent Criteria , 2010, IEEE Transactions on Engineering Management.

[46]  Mehpare Timor,et al.  The analytic hierarchy process and analytic network process: an overview of applications , 2010 .

[47]  William W. Cooper,et al.  Introduction to Data Envelopment Analysis and Its Uses: With Dea-Solver Software and References , 2005 .

[48]  N. Avkiran Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks , 2011 .

[49]  Joseph C. Paradi,et al.  A survey on bank branch efficiency and performance research with data envelopment analysis , 2013 .

[50]  Y. J. Lin,et al.  Supplier selection using analytic network process and data envelopment analysis , 2012 .

[51]  R. J. Kuo,et al.  Integration of artificial neural network and MADA methods for green supplier selection , 2010 .

[52]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[53]  A. Charnes,et al.  Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks , 1990 .

[54]  Shanling Li,et al.  Comparative Performance of Chinese Commercial Banks: Analysis, Findings and Policy Implications , 2001 .

[55]  Arnold Reisman,et al.  The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis , 2003 .

[56]  T. Saaty,et al.  Fundamentals of the analytic network process — Dependence and feedback in decision-making with a single network , 2004 .

[57]  Cumhur Erdem,et al.  Turkish banking efficiency and its relation to stock performance , 2008 .

[58]  Gary D. Ferrier,et al.  Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods , 1998 .

[59]  Carlo A. Favero,et al.  Technical efficiency and scale efficiency in the Italian banking sector: A non-parametric approach , 1995 .

[60]  T. Saaty The Analytic Network Process , 2001 .

[61]  Joseph Sarkis,et al.  A Synergistic Framework for Evaluating Business Process Improvements , 2002 .

[62]  Russell G. Thompson,et al.  The role of multiplier bounds in efficiency analysis with application to Kansas farming , 1990 .

[63]  R. Matousek,et al.  Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model , 2011 .