IDEAS home Printed from https://ideas.repec.org/a/alk/jbms00/v4y2022i2id3185.html

The Effect of Hospital Management Information System Performance on Hospital Financial Reports Quality Moderated by Human Resources Competence: An Empirical Study at DKI Jakarta Province’s X Hospital

Author

Listed:
  • Pramono

    (Universitas Mercu Buana, Jakarta, Indonesia)

  • Adli

    (Universitas Mercu Buana, Jakarta, Indonesia)

Abstract

This research is aimed at, first, observing the impacts of the hospital management information system on the financial reports quality of Hospital X. Second, observing the impacts of hospital management information system performance on the financial report quality at Hospital X as moderated by HR competence. The research applied the quantitative method. Three variables were applied to this study, namely independent variable, namely hospital management information system performance. The moderation variable applied was HR competence and the dependent variable applied to this study was Financial Report quality. Its population includes all accounting and IT unit staff with 82 samples. Structural Equation Modeling (SEM) data analysis technique was applied during the data analysis process, whereas for the data input process, the study used SmartPLS software. The research results show that Hospital Management Information System Performance has an impact on the Financial Report Quality and Hospital Management Information System Performance has no impact on Financial Report Quality as moderated by HR competence.

Suggested Citation

  • Pramono & Adli, 2022. "The Effect of Hospital Management Information System Performance on Hospital Financial Reports Quality Moderated by Human Resources Competence: An Empirical Study at DKI Jakarta Province’s X Hospital," Journal of Business and Management Studies, Al-Kindi Center for Research and Development, vol. 4(2), pages 256-261, March.
    • Handle: RePEc:alk:jbms00:v:4:y:2022:i:2:id:3185
    DOI: 10.32996/jbms.2022.4.2.20
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jbms/article/view/3185
    File Function: Abstract page
    Download Restriction: no
    File URL: https://al-kindipublisher.com/index.php/jbms/article/download/3185/2797
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32996/jbms.2022.4.2.20?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:alk:jbms00:v:4:y:2022:i:2:id:3185. 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: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jbms .

    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.