IDEAS home Printed from https://ideas.repec.org/a/igg/jeis00/v16y2020i4p39-57.html
   My bibliography  Save this article

User Acceptance of Agricultural Market Information System With Analytics: Insights From the Philippines

Author

Listed:
  • Teresita R. Tolentino

    (Cavite State University, Philippines)

  • Alexander Arcenio Hernandez

    (Technological Institute of the Philippines, Philippines)

Abstract

An agricultural market information system with analytics is considered valuable in farming activities in developing countries. However, due to several factors, the agricultural market information system with analytics adoption remains limited. The paper aims to understand the factors that may influence users' intention to adopt the agricultural market information system with analytics in the coffee farming sector. The developed framework considered two external variables—computer self-efficacy and system complexity based on the technology acceptance model—through a field survey conducted in coffee farm sites and rural agriculture offices in the Philippines. The results show that the system's perceived usefulness has nothing to do with the computer self-efficacy and system complexity. On the other hand, the perceived ease of use is affected by computer self-efficacy alone and not with system complexity. Also, the perceived ease of use affects both the perceived usefulness and attitude towards using the system. Thus, solving the issues of perceived ease of use by providing training to gain computer skills will ensure the positive implications of perceived usefulness and attitude towards using. This study also discussed some practical and research implications.

Suggested Citation

  • Teresita R. Tolentino & Alexander Arcenio Hernandez, 2020. "User Acceptance of Agricultural Market Information System With Analytics: Insights From the Philippines," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 16(4), pages 39-57, October.
  • Handle: RePEc:igg:jeis00:v:16:y:2020:i:4:p:39-57
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEIS.2020100103
    Download Restriction: no
    ---><---

    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:igg:jeis00:v:16:y:2020:i:4:p:39-57. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.