IDEAS home Printed from https://ideas.repec.org/a/epw/ejbmr0/v8y2023i1id51689.html

Conceptualising Total Quality Management as a Predictor of Performance in Nigerian Microfinance Institutions

Author

Listed:
  • Henry Osahon Osazevbaru

    (Delta State University, Nigeria)

  • Freedom Oyibo

    (Delta State University, Nigeria)

Abstract

This study examined total quality management as determinant of the performance of microfinance organizations. It seeks to empirically investigate the predictive power of total quality management (TQM) dimensions on performance measured by customer satisfaction. A survey research design was adopted and 20 licensed microfinance banks in Delta State were sampled. The total number of employees of the selected banks was 327. Taro Yamane formula was used in determining a sample size of 180 employees. The data were analysed using both descriptive and inferential statistics. The results revealed that all the TQM dimensions were significantly related to performance. Specifically, continuous quality improvement, employee involvement and customer relationship management predict positive performance. The study concluded that TQM practices need to be given adequate attention by microfinance institutions. The study recommended among others that employees in microfinance banks should be updated on best practices in the industry. Also, microfinance banks should train and retrain their employees on innovative and best practices in the industry.

Suggested Citation

  • Henry Osahon Osazevbaru & Freedom Oyibo, 2023. "Conceptualising Total Quality Management as a Predictor of Performance in Nigerian Microfinance Institutions," European Journal of Business and Management Research, European Open Science, vol. 8(1), pages 86-92, January.
  • Handle: RePEc:epw:ejbmr0:v:8:y:2023:i:1:id:51689
    DOI: 10.24018/ejbmr.2023.8.1.1689
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejbmr/article/view/51689
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejbmr/article/download/51689/7671
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejbmr.2023.8.1.1689?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:epw:ejbmr0:v:8:y:2023:i:1:id:51689. 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbmr .

    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.