IDEAS home Printed from https://ideas.repec.org/a/arp/tjssrr/2018p576-582.html
   My bibliography  Save this article

Assessing Banks’ Service Quality and Customer Satisfaction: An Analytical Framework

Author

Listed:
  • Asish Saha*

    (Department of Finance, FLAME School of Business, FLAME University, Pune, India)

  • Goh Yeok Siew

    (School of Economic Finance and Banking, College of Business, Universiti Utara Malaysia, Sintok, Malaysia)

  • Hock Eam Lim

    (School of Economic Finance and Banking, College of Business, Universiti Utara Malaysia, Sintok, Malaysia)

  • Nor Hayati Ahmad

    (Islamic Business School, College of Business, Universiti Utara Malaysia, Sintok, Malaysia)

Abstract

The paper aims to develop and validate an analytical framework to assess the service quality and customer satisfaction and hence customer loyalty in banks. We develop a multivariate probit model for the evaluation of service quality and customer satisfaction and an ordered logit model for the rating of customer service of the most frequently used bank. To validate the models, we conduct a survey of 1107 customers from the branches of eight banks in three major cities of the peninsular Malaysia in 2013. The validation was carried out in two stages. First, we analyze the customers’ satisfaction on the core and relational dimension of service quality using multivariate probit model. In the second stage, we analyze the customers’ overall service rating on their most frequently used bank using ordered logit model. The proposed framework can be used by banks to assess service quality and customer satisfaction and identify customers who are likely to switch. This would prove extremely beneficial to banks in the formulation of segment specific customer retention strategies. The framework would also assist regulators to gauge the level of customer confidence in the individual banking institution and intervene as and when necessary to maintain stability in the banking system.

Suggested Citation

  • Asish Saha* & Goh Yeok Siew & Hock Eam Lim & Nor Hayati Ahmad, 2018. "Assessing Banks’ Service Quality and Customer Satisfaction: An Analytical Framework," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 576-582:6.
  • Handle: RePEc:arp:tjssrr:2018:p:576-582
    as

    Download full text from publisher

    File URL: https://www.arpgweb.com/pdf-files/spi6.9.576.582.pdf
    Download Restriction: no

    File URL: https://www.arpgweb.com/journal/7/special_issue/12-2018/6/4
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jean-Noël Kapferer, 2005. "The post global brand," Post-Print hal-00781536, HAL.
    2. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    3. Mihelis, G. & Grigoroudis, E. & Siskos, Y. & Politis, Y. & Malandrakis, Y., 2001. "Customer satisfaction measurement in the private bank sector," European Journal of Operational Research, Elsevier, vol. 130(2), pages 347-360, April.
    4. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
    Full references (including those not matched with items on IDEAS)

    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. Quach, Sara & Hewege, Chandana & Le, Viet, 2019. "Expression and transformation of loyalty in a contractual service setting: A processual view," Australasian marketing journal, Elsevier, vol. 27(2), pages 66-77.
    2. Risselada, Hans & Verhoef, Peter C. & Bijmolt, Tammo H.A., 2010. "Staying Power of Churn Prediction Models," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 198-208.
    3. Ke Liu & Zhenhong Qi & Li Tan & Caiyan Yang & Canwei Hu, 2023. "Mixed Use of Chemical Pesticides and Biopesticides among Rice–Crayfish Integrated System Farmers in China: A Multivariate Probit Approach," Agriculture, MDPI, vol. 13(8), pages 1-17, August.
    4. Marina Rybalka, 2015. "The innovative input mix. Assessing the importance of R&D and ICT investments for firm performance in manufacturing and services," Discussion Papers 801, Statistics Norway, Research Department.
    5. Fernandez-Cornejo, Jorge & Wechsler, Seth James, 2012. "Fifteen Years Later: Examining the Adoption of Bt Corn Varieties by U.S. Farmers," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124257, Agricultural and Applied Economics Association.
    6. Philipp Afèche & Mojtaba Araghi & Opher Baron, 2017. "Customer Acquisition, Retention, and Service Access Quality: Optimal Advertising, Capacity Level, and Capacity Allocation," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 674-691, October.
    7. Polo, Yolanda & Sese, F. Javier & Verhoef, Peter C., 2011. "The Effect of Pricing and Advertising on Customer Retention in a Liberalizing Market," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 201-214.
    8. Jianglin Lu & Keqiang Wang & Hongmei Liu, 2022. "Residents’ Selection Behavior of Compensation Schemes for Construction Land Reduction: Empirical Evidence from Questionnaires in Shanghai, China," Land, MDPI, vol. 12(1), pages 1-29, December.
    9. Cinzia Di Novi, 2007. "An Economic Evaluation of Life-Style and Air-pollution-related Damages: Results from the BRFSS," JEPS Working Papers 07-001, JEPS.
    10. A Mukherjee & P Nath & M Pal, 2003. "Resource, service quality and performance triad: a framework for measuring efficiency of banking services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(7), pages 723-735, July.
    11. Alejandro García-Pozo & Juan Antonio Campos-Soria & J. Aníbal Núñez-Carrasco, 2021. "Technological innovation and productivity across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 167-187, August.
    12. Luc Aroondel & Frédérique Savignac & Kévin Tracol, 2014. "Wealth and Consumption: French Households in the Crisis," International Journal of Central Banking, International Journal of Central Banking, vol. 10(3), pages 163-204, September.
    13. Simona Iammarino & Francesca Sanna-Randaccio & Maria Savona, 2007. "The perception of obstacles to innovation. Multinational and domestic firms in Italy," Working Papers of BETA 2007-12, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    14. Alberto Bayo-Moriones & Jose E. Galdon-Sanchez & Maia Güell, 2010. "Is seniority-based pay used as a motivational device? Evidence from plant-level data," Research in Labor Economics, in: Jobs, Training, and Worker Well-being, pages 155-187, Emerald Group Publishing Limited.
    15. Raghbendra Jha & Hari K. Nagarajan & Woojin Kang & Kailash C. Pradhan, 2014. "Panchayats and Household Vulnerability in Rural India," ASARC Working Papers 2014-08, The Australian National University, Australia South Asia Research Centre.
    16. Van den Poel, Dirk & Lariviere, Bart, 2004. "Customer attrition analysis for financial services using proportional hazard models," European Journal of Operational Research, Elsevier, vol. 157(1), pages 196-217, August.
    17. Zahler, Andrés & Goya, Daniel & Caamaño, Matías, 2022. "The primacy of demand and financial obstacles in hindering innovation," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    18. repec:gat:wpaper:1509 is not listed on IDEAS
    19. Izabela Jelovac & Philippe Polomé, 2017. "Incentives to patients versus incentives to health care providers: The users' perspective," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 319-331, December.
    20. Michael Peneder & Spyros Arvanitis & Christian Rammer & Tobias Stucki & Martin Wörter, 2022. "Policy instruments and self-reported impacts of the adoption of energy saving technologies in the DACH region," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(2), pages 369-404, May.
    21. Blattberg, Robert C. & Malthouse, Edward C. & Neslin, Scott A., 2009. "Customer Lifetime Value: Empirical Generalizations and Some Conceptual Questions," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 157-168.

    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:arp:tjssrr:2018:p:576-582. 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: Managing Editor (email available below). General contact details of provider: http://arpgweb.com/?ic=journal&journal=7&info=aims .

    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.