IDEAS home Printed from https://ideas.repec.org/a/ids/ijbexc/v7y2014i3p371-393.html
   My bibliography  Save this article

Performance evaluation of banks using balanced scorecard

Author

Listed:
  • Elham Keshavarz
  • Masumeh Ftahikenari
  • Abolfazl Rohani
  • Seyed Mohammad Bagheri

Abstract

The performance evaluation of banks has important results for creditors, investors and stakeholders since it determines banks' capabilities to compete in the sector and has critical importance for the development of the sector. The aim of this study is to propose a fuzzy multi-criteria decision model to evaluate the performance of Iranian banks. The three largest commercial banks of the Iranian banking sector are examined and the performance of each is evaluated. Drawing on the four perspectives of a balanced scorecard (BSC), this research first summarised the evaluation indices synthesised from the literature relating to banking performance. Then, to screen these indices, 22 indices were selected for banking performance evaluation. Furthermore, the relative weights of the chosen evaluation indices were calculated by fuzzy analytic hierarchy process (FAHP). As to the prioritisation of BSC's aspects, results indicated that the financial aspect or criterion stands atop the priority list followed by the criteria of customers, learning and growth, and the internal process of the organisation respectively.

Suggested Citation

  • Elham Keshavarz & Masumeh Ftahikenari & Abolfazl Rohani & Seyed Mohammad Bagheri, 2014. "Performance evaluation of banks using balanced scorecard," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 7(3), pages 371-393.
  • Handle: RePEc:ids:ijbexc:v:7:y:2014:i:3:p:371-393
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=60781
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Varmazyar, Mohsen & Dehghanbaghi, Maryam & Afkhami, Mehdi, 2016. "A novel hybrid MCDM model for performance evaluation of research and technology organizations based on BSC approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 125-140.
    2. Jui-Te Chiang & Chei-Chang Chiou & Shuh-Chyi Doong & I-Fang Chang, 2020. "Research on the Construction of Performance Indicators for the Marketing Alliance of Catering Industry and Credit Card Issuing Banks by Using the Balanced Scorecard and Fuzzy AHP," Sustainability, MDPI, vol. 12(21), pages 1-24, October.

    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:ids:ijbexc:v:7:y:2014:i:3:p:371-393. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=291 .

    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.