IDEAS home Printed from https://ideas.repec.org/a/taf/ugitxx/v23y2020i2p138-164.html
   My bibliography  Save this article

Integrated Technology Acceptance Model for the Evaluation of Agricultural Decision Support Systems

Author

Listed:
  • Shabir Ahmad Mir
  • T. Padma

Abstract

The evaluation process of agricultural Decision Support Systems (agDSSs) is mostly based on verification and validation criteria which reflect the viewpoint of one or a few persons, who are mostly involved in the development process. However, usability evaluation is regarded as very important criteria, which measures acceptance of IT-based innovations, involving as many people and reference groups as possible to produce more realistic results related to their adoption. To date, researchers have used many technology acceptance models (TAM) to measure likely adoption chances of innovation or technology. However, the frequency and scope of such studies in agDSSs are predominantly very low, which is attributed to the technical limitations of contemporary TAMs to consider social, organizational and environmental externalities of farmers’ perceptions, behaviors and attitudes beyond “technical aspects” in an explicit manner. Therefore, we are presenting a usability based evaluation framework for the agDSSs considering attitudes, mind-sets, social, organizational, environmental and cultural contexts beyond ‘technical perspective’ to help and support DSS practitioners with the key contributing factors. The proposed framework has been used to investigate the user’s acceptance of agDSS developed for Insect-Pest and Nutrient Management of apple (AIP&NM) in India.

Suggested Citation

  • Shabir Ahmad Mir & T. Padma, 2020. "Integrated Technology Acceptance Model for the Evaluation of Agricultural Decision Support Systems," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 23(2), pages 138-164, April.
  • Handle: RePEc:taf:ugitxx:v:23:y:2020:i:2:p:138-164
    DOI: 10.1080/1097198X.2020.1752083
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1097198X.2020.1752083
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1097198X.2020.1752083?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Osrof, Hazem Yusuf & Tan, Cheng Ling & Angappa, Gunasekaran & Yeo, Sook Fern & Tan, Kim Hua, 2023. "Adoption of smart farming technologies in field operations: A systematic review and future research agenda," Technology in Society, Elsevier, vol. 75(C).
    2. Thomas, Rosemary J. & O'Hare, Gregory & Coyle, David, 2023. "Understanding technology acceptance in smart agriculture: A systematic review of empirical research in crop production," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Melih Erdem & Hasan Burak Ağır, 2024. "Enhancing Dairy Farm Welfare: A Holistic Examination of Technology Adoption and Economic Performance in Kahramanmaraş Province, Turkey," Sustainability, MDPI, vol. 16(7), pages 1-22, April.

    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:taf:ugitxx:v:23:y:2020:i:2:p:138-164. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/ugit .

    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.