IDEAS home Printed from https://ideas.repec.org/a/epw/ejbmr0/v7y2022i3id51418.html

The Effect of Job Motivation, Job Satisfaction and Transformational Leadership Style on Employee

Author

Listed:
  • Sandra Dewi

    (Univercity Esa Unggul, Indonesia)

  • Rahmad Yulianto

    (Univercity Esa Unggul, Indonesia)

  • Endang Ruswanti

    (Univercity Esa Unggul, Indonesia)

Abstract

Background: Employee performance in an organization is influenced by several factors such as: work motivation, job satisfaction and transformational leadership style, if all of them are fulfilled properly then the performance of employees will increase. The purpose of this study was to analyze the effect of work motivation, job satisfaction and transformational leadership style on employee performance in Class D Hospital. Research Methods: This research method uses a quantitative approach with a causal design based on cross-sectional time dimensions. The population in this study used 60 employees as a saturated sample. The data collection technique is in the form of a questionnaire with a measurement scale using a Likert scale. Analysis of the data in this study using multiple regression analysis. Result: It is known that the coefficient of determination or R Square is 0.774 or equal to 77.4%. This figure means that the variables of work motivation (X1), job satisfaction (X2) and transformational leadership style (X3) affect the performance of employees in class D Hospital by 77.4%. Implications: Work motivation, job satisfaction and transformational leadership style have a positive effect on employee performance.

Suggested Citation

  • Sandra Dewi & Rahmad Yulianto & Endang Ruswanti, 2022. "The Effect of Job Motivation, Job Satisfaction and Transformational Leadership Style on Employee," European Journal of Business and Management Research, European Open Science, vol. 7(3), pages 107-113, May.
  • Handle: RePEc:epw:ejbmr0:v:7:y:2022:i:3:id:51418
    DOI: 10.24018/ejbmr.2022.7.3.1418
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejbmr/article/view/51418
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejbmr/article/download/51418/7455
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejbmr.2022.7.3.1418?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:7:y:2022:i:3:id:51418. 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.