IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v35y2007i2p190-201.html
   My bibliography  Save this article

Performance-Net: A Decision Support System for Reconfiguring a Bank's Branch Network

Author

Listed:
  • Ioannou, George
  • Mavri, Maria

Abstract

This paper presents a Decision Support System (DSS) that enables the management of a retail bank to evaluate and reconfigure its branch network. The DSS uses computational methods and knowledge that arises from information about the bank's operational and fixed costs, as well as demographic characteristics from the geographical area where branches are located. The DSS that we call Performance-Net estimates the performance of a branch network and determines the optimum number of branches and the optimum mix of services that each one should provide in order to maximize the bank's revenue- generating measures. Its computational engine is based on a linear programming optimization model and its implementation is developed using the standard MS Excel program. Performance-Net provides efficient solutions, is particularly user-friendly and can reach excellent answers for a wide variety of "what if" parametric scenarios.

Suggested Citation

  • Ioannou, George & Mavri, Maria, 2007. "Performance-Net: A Decision Support System for Reconfiguring a Bank's Branch Network," Omega, Elsevier, vol. 35(2), pages 190-201, April.
    • Handle: RePEc:eee:jomega:v:35:y:2007:i:2:p:190-201
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305-0483(05)00082-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    2. Frances X. Frei & Ravi Kalakota & Andrew J. Leone & Leslie M. Marx, 1999. "Process Variation as a Determinant of Bank Performance: Evidence from the Retail Banking Study," Management Science, INFORMS, vol. 45(9), pages 1210-1220, September.
    3. Boufounou, Paraskevi V., 1995. "Evaluating bank branch location and performance: A case study," European Journal of Operational Research, Elsevier, vol. 87(2), pages 389-402, December.
    4. Schaffnit, Claire & Rosen, Dan & Paradi, Joseph C., 1997. "Best practice analysis of bank branches: An application of DEA in a large Canadian bank," European Journal of Operational Research, Elsevier, vol. 98(2), pages 269-289, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. F A F Ferreira & S P Santos & P M M Rodrigues, 2011. "Adding value to bank branch performance evaluation using cognitive maps and MCDA: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1320-1333, July.
    2. Ray, Subhash, 2016. "Cost efficiency in an Indian bank branch network: A centralized resource allocation model," Omega, Elsevier, vol. 65(C), pages 69-81.
    3. Das, Abhiman & Ray, Subhash C. & Nag, Ashok, 2009. "Labor-use efficiency in Indian banking: A branch-level analysis," Omega, Elsevier, vol. 37(2), pages 411-425, April.
    4. Wei-Kang Wang & Wen-Min Lu & Yu-Han Wang, 2013. "The relationship between bank performance and intellectual capital in East Asia," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 1041-1062, February.
    5. Tang, Lixin & Wang, Gongshu, 2008. "Decision support system for the batching problems of steelmaking and continuous-casting production," Omega, Elsevier, vol. 36(6), pages 976-991, December.
    6. Lawson, Barry R. & Baker, Kenneth R. & Powell, Stephen G. & Foster-Johnson, Lynn, 2009. "A comparison of spreadsheet users with different levels of experience," Omega, Elsevier, vol. 37(3), pages 579-590, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paradi, Joseph C. & Zhu, Haiyan, 2013. "A survey on bank branch efficiency and performance research with data envelopment analysis," Omega, Elsevier, vol. 41(1), pages 61-79.
    2. Allen Berger & Robert DeYoung, 2001. "The Effects of Geographic Expansion on Bank Efficiency," Journal of Financial Services Research, Springer;Western Finance Association, vol. 19(2), pages 163-184, April.
    3. André Leclerc & Mario Fortin, 2003. "Production et rationalisation des intermédiaires financiers: Leçons à tirer de l’expérience des Caisses Populaires Acadiennes," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 74(3), pages 397-432, September.
    4. Chu, Sing Fat & Lim, Guan Hua, 1998. "Share performance and profit efficiency of banks in an oligopolistic market: evidence from Singapore," Journal of Multinational Financial Management, Elsevier, vol. 8(2-3), pages 155-168, September.
    5. Hsiang-Hsi Liu & Tser-Yieth Chen & Jia-Wen Chen, 2013. "Incorporating the Credit Ranking Measure to Evaluate the Operating Efficiency of Financial Holding Companies in Taiwan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(10), pages 1386-1404, October.
    6. Catarina Figueira & Joseph Nellis & David Parker, 2009. "Banking performance and technological change in non‐core EU countries," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 26(3), pages 155-170, July.
    7. G.S. Donatos & D.I. Giokas, 2008. "Relative Efficiency in the branch network of a Greek bank: A quantitative analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 53-72.
    8. Yi-cheng Liu & Yue-cune Chang, 2013. "The Regional Performances of Agricultural Bank of China Applying GEE Method Multiple Linear Regression," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 3(5), pages 1-3.
    9. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    10. Antreas D. Athanassopoulos & Andreas Soteriou & Stavros Zenios, 1997. "Disentangling Within- and Between-Country Efficiency Differences of Bank Branches," Center for Financial Institutions Working Papers 97-17, Wharton School Center for Financial Institutions, University of Pennsylvania.
    11. Giokas, Dimitris I., 2008. "Assessing the efficiency in operations of a large Greek bank branch network adopting different economic behaviors," Economic Modelling, Elsevier, vol. 25(3), pages 559-574, May.
    12. Aude Hubrecht-Deville & Herve Leleu, 2008. "Impact of trade area environment on bank's comparative advantages," Applied Economics, Taylor & Francis Journals, vol. 40(17), pages 2209-2219.
    13. Pires Gonçalves, Ricardo, 2006. "Management Quality Measurement: Using Data Envelopment Analysis (DEA) Estimation Approach for Banks in Brazil," MPRA Paper 11143, University Library of Munich, Germany.
    14. Paradi, Joseph C. & Schaffnit, Claire, 2004. "Commercial branch performance evaluation and results communication in a Canadian bank--a DEA application," European Journal of Operational Research, Elsevier, vol. 156(3), pages 719-735, August.
    15. Dan Li & Yanfeng Li & Yeming Gong & Jiawei Yang, 2021. "Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma," Journal of Productivity Analysis, Springer, vol. 56(2), pages 151-170, December.
    16. Das, Abhiman & Ray, Subhash C. & Nag, Ashok, 2009. "Labor-use efficiency in Indian banking: A branch-level analysis," Omega, Elsevier, vol. 37(2), pages 411-425, April.
    17. Mette Asmild & Joseph Paradi & Vanita Aggarwall & Claire Schaffnit, 2004. "Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry," Journal of Productivity Analysis, Springer, vol. 21(1), pages 67-89, January.
    18. Ray, Subhash, 2016. "Cost efficiency in an Indian bank branch network: A centralized resource allocation model," Omega, Elsevier, vol. 65(C), pages 69-81.
    19. C. Charles Okeahalam, 2006. "Production Efficiency in the South African Banking Sector: A Stochastic Analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 103-123.
    20. Aude Hubrecht-Deville, 2007. "Branch banking networks assessment using DEA:A benchmarking analysis," Working Papers CREGO 1071103, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jomega:v:35:y:2007:i:2:p:190-201. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.