IDEAS home Printed from https://ideas.repec.org/a/ags/aolpei/348960.html
   My bibliography  Save this article

Digital Transformation of Agricultural Extension in Indonesia: A Comprehensive Analysis

Author

Listed:
  • Suswadi
  • Irawan, Norbertus Citra

Abstract

Digital transformation in the field of agricultural extension is quite essential for agriculture in the future. The problem is that not all extension workers understand the use of cyber extension. The research objective is to explore the relationship between individual motivation (IM), social capital (SC), digital extension adoption (CEA), knowledge sharing (KS), and agricultural extension performance (EP) in Indonesia. The research method used was explanatory, with purposive location selection and a population focused on agricultural extension workers. Sampling was carried out using quota techniques. Data analysis in this study used Structural Equation Modeling with Partial Least Squares (SEM-PLS). More specifically, IM and SC act as construct variables, while CEA and KS not only act as construct variables but also as mediators. Agricultural Extension (EP) performance is measured as a latent variable. The research results reveal that all construct variables, namely IM, SC, CEA, and KS, positively and significantly influence the EP. These findings demonstrate the importance of these factors in supporting digital transformation in agricultural extension in Indonesia and can provide valuable guidance for decision-makers and practitioners in efforts to increase the effectiveness of agricultural extension using digital technology.

Suggested Citation

  • Suswadi & Irawan, Norbertus Citra, 2023. "Digital Transformation of Agricultural Extension in Indonesia: A Comprehensive Analysis," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 15(4), December.
    • Handle: RePEc:ags:aolpei:348960
    DOI: 10.22004/ag.econ.348960
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/348960/files/601_agris-on-line-4-2023-suswadi-iravan.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.348960?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
    ---><---

    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:ags:aolpei:348960. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/fevszcz.html .

    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.