Abstract
Bank branch performance evaluation is a difficult endeavour. Some of the main reasons for this difficulty are the complexity inherent in the variety of aspects considered in the evaluation, and the multiple and conflicting interests of the different stakeholders involved. In this paper, we show how cognitive mapping and measuring attractiveness by a categorical-based evaluation technique can be used to support the evaluation of bank branches through the development of multidimensional performance evaluation systems, and to deal explicitly with the trade-offs between the different dimensions of performance and interests of different stakeholders. A case study is discussed where these techniques are used in a constructive way, making the learning activity easier and introducing transparency in the decision-making process. The strengths and weaknesses of the integrated use of these two operational research techniques in this context are also discussed.
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Ackermann F and Eden C (2001). SODA—Journey making and mapping in practice. In: Rosenhead J and Mingers J (eds). Rational Analysis for a Problematic World Revisited: Problem Structuring Methods for Complexity, Uncertainty and Conflict. 2nd edn, John Wiley & Sons: Chichester, pp 43–60.
Aleskerov F, Ersel H and Yolalan R (2003). Personnel allocation among bank branches using a two stage multi-criterial approach. Eur J Opl Res 148: 116–125.
Bana e Costa CA and Chagas M (2004). A career choice problem: An example of how to use MACBETH to build a quantitative value model based on qualitative value judgements. Eur J Opl Res 153: 323–331.
Bana e Costa CA and Vansnick JC (1994). MACBETH—An interactive path towards the construction of cardinal value functions. Int T Opl Res 1: 489–500.
Bana e Costa CA and Vansnick JC (1997). Applications of the MACBETH approach in the framework of an additive aggregation model. J Multi-Criteria Decis Anal 6: 107–114.
Bana e Costa CA and Vansnick JC (1999). The MACBETH approach: Basic ideas, software and an application. In: Meskens N and Roubens M (eds). Advances in Decision Analysis. Kluwer Academic Publishers: Dordrecht, Book Series: Mathematical Modelling: Theory and Applications, Vol. 4, pp 131–157.
Bana e Costa CA and Vansnick JC (2008). A critical analysis of the eigenvalue method used to derive priorities in the AHP. Eur J Opl Res 187: 1422–1428.
Bana e Costa CA, Stewart TJ and Vansnick JC (1997). Multicriteria decision analysis: Some thoughts based on the tutorial and discussion sessions of ESIGMA meetings. Eur J Opl Res 99: 28–37.
Bana e Costa CA, Ensslin L, Corrêa EC and Vansnick JC (1999). Decision support systems in action: Integrated application in a multicriteria decision aid process. Eur J Opl Res 113: 315–335.
Bana e Costa CA, De Corte JM and Vansnick JC (2005). On the mathematical foundations of MACBETH. In: Figueira J, Greco S and Ehrgott M (eds). Multiple Criteria Decision Analysis: The State of the Art Surveys. Springer: New York, pp 409–442.
Bana e Costa CA, Fernandes T and Correia P (2006). Prioritisation of public investments in social infrastructures using multicriteria value analysis and decision conferencing: A case study. Int T Opl Res 13: 279–297.
Barros P and Leite A (1996). Competition in Portuguese commercial banking. Economica 20: 7–30.
Belton V and Gear AE (1983). On a shortcoming of Saaty's method of analytic hierarchies. Omega—Int J Mngt S 11: 228–230.
Belton V and Stewart TJ (2002). Multiple Criteria Decision Analysis: An Integrated Approach. Kluwer Academic Publishers: Dordrecht.
Belton V, Ackermann F and Shepherd I (1997). Integrated support from problem structuring through to alternative evaluation using COPE and V·I·S·A. J Multi-Criteria Decisi Anal 6: 115–130.
Brignall S (1992). Performance measurement systems as change agents: A case for further research. Research Paper 72. Warwick Business School, Warwick.
Brown MG (1996). Keeping Score: Using the Right Metrics to Drive World-Class Performance. Quality Resources: New York.
Camanho AS and Dyson R (2005). Cost efficiency measurement with price uncertainty: A DEA application to bank branch assessments. Eur J Opl Res 161: 432–446.
Charnes A, Cooper W and Rhodes E (1978). Measuring the efficiency of decision making units. Eur J Opl Res 2: 429–444.
Cook WD and Hababou M (2001). Sales performance measurement in bank branches. Omega—Int J Mngt S 29: 299–307.
Cook WD, Seiford L and Zhu J (2004). Models for performance benchmarking: Measuring the effect of e-business activities on banking performance. Omega—Int J Mngt S 32: 313–322.
Cyree KB, Wansley J and Boehm T (2000). Determinants of bank growth choice. J Banking Financ 24: 709–734.
Dekker D and Post T (2001). A quasi-concave DEA model with an application for bank branch performance evaluation. Eur J Opl Res 132: 296–311.
Eden C (1988). Cognitive mapping. Eur J Opl Res 36: 1–13.
Eden C (2004). Analyzing cognitive maps to help structure issues or problems. Eur J Opl Res 159: 673–686.
Eden C and Ackermann F (2001a). Group decision and negotiation in strategy making. Group Decis Negot 10: 119–140.
Eden C and Ackermann F (2001b). SODA—The principles. In: Rosenhead J and Mingers J (eds). Rational Analysis for a Problematic World Revisited: Problem Structuring Methods for Complexity, Uncertainty and Conflict. 2nd edn, John Wiley & Sons: Chichester, pp 21–41.
Eden C and Ackermann F (2004). Cognitive mapping expert views for policy analysis in the public sector. Eur J Opl Res 152: 615–630.
Emel AB, Oral M, Reisman A and Yolalan R (2003). A credit scoring approach for the commercial banking sector. Soc Econ Plan Sci 37: 103–123.
Halkos GE and Salamouris D (2004). Efficiency measurement of the Greek commercial banks with the use of financial ratios: A data envelopment analysis approach. Mngt Account Res 15: 201–224.
Hartman T, Storbeck JE and Byrnes P (2001). Allocative efficiency in branch banking. Eur J Opl Res 134: 232–242.
Ioannou G and Mavri M (2007). Performance-net: A decision support system for reconfiguring a bank's branch network. Omega—Int J Mngt S 35: 190–201.
Jahanshahloo GR, Amirteimoori AR and Kordrostami S (2004). Multi-component performance, progress and regress measurement and shared inputs and outputs in DEA for panel data: An application in commercial bank branches. Appl Math Comput 151: 1–16.
Kaplan RS and Norton DP (1992). The balanced scorecard: measures that drive performance. Harvard Bus Rev 70 (1): 71–79.
Kaplan RS and Norton DP (2000). Having trouble with your strategy? Then map it. Harvard Bus Rev 78 (5): 167–176.
Keeney RL (1992). Value-Focused Thinking: A Path to Creative Decisionmaking. Harvard University Press: Harvard.
Lau CM and Sholihin M (2005). Financial and non-financial performance measures: How do they affect job satisfaction? Br Account Rev 37: 389–413.
Lovell CA and Pastor JT (1997). Target setting: An application to a bank branch network. Eur J Opl Res 98: 290–299.
Manandhar R and Tang JC (2002). The evaluation of bank branch performance using data envelopment analysis: A framework. J High Technol Mngt Res 13: 1–17.
Mihelis G, Grigoroudis E, Siskos Y, Politis Y and Malandrakis Y (2001). Customer satisfaction measurement in the private bank sector. Eur J Opl Res 130: 347–360.
Milis K and Mercken R (2004). The use of the balanced scorecard for the evaluation of information and communication technology projects. Int J Proj Mngt 22: 87–97.
Montibeller G, Belton V, Ackermann F and Ensslin L (2008). Reasoning maps for decision aid: An integrated approach for problem-structuring and multi-criteria evaluation. J Opl Res Soc 59: 575–589.
Neely A, Gregory M and Platts K (1995). Performance measurement system design: A literature review and research agenda. Int J Opns Prod Mngt 15: 80–116.
Neely A, Mills J, Platts K, Richards H, Gregory M, Bourne M and Kennerley M (2000). Performance measurement system design: Developing and testing a process-based approach. Int J Opns Prod Mngt 20: 1119–1145.
Otley D (1999). Performance management: A framework for management control system research. Mngt Account Res 10: 363–382.
Paradi JC and Schaffnit C (2004). Commercial branch performance evaluation and results communication in a Canadian bank: A DEA application. Eur J Opl Res 156: 719–735.
Phillips LD and Bana e Costa CA (2007). Transparent prioritisation, budgeting and resource allocation with multi-criteria decision analysis and decision conferencing. Ann Opns Res 154: 51–68.
Portela MC, Thanassoulis E and Simpson G (2004). Negative data in DEA: A directional distance approach applied to bank branches. J Opl Res Soc 55: 1111–1121.
Santos SP, Belton V and Howick S (2002). Adding value to performance measurement by using systems dynamics and multicriteria analysis. Int J Opns Prod Mngt 22: 1246–1272.
Santos SP, Belton V and Howick S (2008). Enhanced performance measuring using OR: A case study. J Opl Res Soc 59: 762–775.
Suwignjo P, Bititci US and Carrie AS (2000). Quantitative models for performance measurement system. Int J Prod Econ 64: 231–241.
Udeshi KJ (2005). Are banks serving the common man? BIS Rev 31: 1–3.
Wu D, Yang Z and Liang L (2006). Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank. Expert Syst Appl 31: 108–115.
Yang Z (2009). Assessing the performance of Canadian bank branches using data envelopment analysis. J Opl Res Soc 60: 771–780.
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Ferreira, F., Santos, S. & Rodrigues, P. Adding value to bank branch performance evaluation using cognitive maps and MCDA: a case study. J Oper Res Soc 62, 1320–1333 (2011). https://doi.org/10.1057/jors.2010.111
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DOI: https://doi.org/10.1057/jors.2010.111