IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v7y2020i1p1738200.html
   My bibliography  Save this article

Enhancing customer retention using customer relationship management approach in car loan bussiness

Author

Listed:
  • Megawati Simanjuntak
  • Nadia E. Putri
  • Lilik N. Yuliati
  • Mohamad Fazli Sabri

Abstract

The objective of this study was to analyse the effects of customer-perceived value, corporate image, and service quality on customer satisfaction, as well as to analyse the direct effect of switching barriers on customer retention, and to analyse the direct and indirect effects of customer satisfaction on customer retention. The conceptual research framework was examined by subjecting data pertaining to 310 customer car loans to structural equation modelling (SEM). The study findings indicated that customer-perceived value, corporate image, and service quality have a significant effect on customer satisfaction, while switching barriers have a significant effect on customer retention. Although customer satisfaction does not have a significant effect on customer retention, the indirect relationship that occurs through customer trust shows that the trust in the credit process and the service provided will prompt customers to use the company’s products or services when applying for new credit. The managerial implications of these findings include grouping customers, determining sales targets based on customer groups, offering products that have more advantages over competitors, providing credit packages and special programs to promote low-interest rates, and forming telesales as information channels. This research provides an overview of the loyalty of customers that will reuse the previous car loan company when reapplying for credit.

Suggested Citation

  • Megawati Simanjuntak & Nadia E. Putri & Lilik N. Yuliati & Mohamad Fazli Sabri, 2020. "Enhancing customer retention using customer relationship management approach in car loan bussiness," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1738200-173, January.
  • Handle: RePEc:taf:oabmxx:v:7:y:2020:i:1:p:1738200
    DOI: 10.1080/23311975.2020.1738200
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2020.1738200
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23311975.2020.1738200?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Priyanka Meena & Praveen Sahu, 2021. "Customer Relationship Management Research from 2000 to 2020: An Academic Literature Review and Classification," Vision, , vol. 25(2), pages 136-158, June.
    2. Pankaj Tiwari, 2022. "Bank affection and customer retention: an empirical investigation of customer trust, satisfaction, loyalty," SN Business & Economics, Springer, vol. 2(6), pages 1-27, June.
    3. Abdulmajeed Alqhatani & Muhammad Shoaib Ashraf & Javed Ferzund & Ahmad Shaf & Hamad Ali Abosaq & Saifur Rahman & Muhammad Irfan & Samar M. Alqhtani, 2022. "360° Retail Business Analytics by Adopting Hybrid Machine Learning and a Business Intelligence Approach," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    4. Michael Owusu-Kyei & Yusheng Kong & Michael Owusu Akomeah & Stephen Owusu Afriyie, 2023. "Corporate Governance and Total Quality Management Implementation in The Telecom Sector, Ghana," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(2), pages 141-157, February.

    More about this item

    Statistics

    Access and download statistics

    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:taf:oabmxx:v:7:y:2020:i:1:p:1738200. 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: Chris Longhurst (email available below). General contact details of provider: http://cogentoa.tandfonline.com/OABM20 .

    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.