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UTAUT Model Insights on the Adoption of Smart Farming Technologies (SFTs) in Malaysia

Author

Listed:
  • Yogavarthiny Ravindran

    (Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Serdang, 43400, Selangor, Malaysia)

  • Nur Bahiah Mohamed Haris

    (Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Serdang, 43400, Selangor, Malaysia Institute for Social Science Studies (IPSAS), Universiti Putra Malaysia (UPM), Serdang, 43400, Selangor, Malaysia)

  • Jasmin Arif Shah

    (Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Serdang, 43400, Selangor, Malaysia Institute for Social Science Studies (IPSAS), Universiti Putra Malaysia (UPM), Serdang, 43400, Selangor, Malaysia)

  • Wan Fazilah Fazlil Ilahi

    (Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Serdang, 43400, Selangor, Malaysia)

Abstract

This study explores the adoption of Smart Farming Technologies (SFTs) through the lens of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. In conjunction with the fact that agriculture is currently facing worldwide issues, SFTs present potential approaches to increase production and sustainability However, the rate at which they are being adopted, especially in developing countries such as Malaysia, is not meeting the anticipated level. This review compiles current literature on the adoption of SFTs utilizing the UTAUT framework by examining important factors such as performance expectancy, effort expectancy, social influence, and facilitating conditions. The analysis demonstrates that these characteristics have a substantial impact on farmers’ intentions to use SFTs, with their relative significance varying depending on different circumstances. Performance expectancy is a significant factor in predicting adoption intentions, whereas social influence has a vital impact on farmers’ decisions, particularly in community-oriented agricultural environments. Facilitating conditions, including access to resources and technical support, are especially important for smallholder farmers. The study also reveals the complex relationship between behavioral intention and actual usage behavior, highlighting the importance for comprehensive initiatives to encourage the adoption of SFTs.

Suggested Citation

  • Yogavarthiny Ravindran & Nur Bahiah Mohamed Haris & Jasmin Arif Shah & Wan Fazilah Fazlil Ilahi, 2024. "UTAUT Model Insights on the Adoption of Smart Farming Technologies (SFTs) in Malaysia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(8), pages 4011-4020, August.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:8:p:4011-4020
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    References listed on IDEAS

    as
    1. Richa Misra & Renuka Mahajan & Nidhi Singh & Sangeeta Khorana & Nripendra P. Rana, 2022. "Factors impacting behavioural intentions to adopt the electronic marketplace: findings from small businesses in India," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1639-1660, September.
    2. Meunier, Elliot & Smith, Pauline & Griessinger, Thibaud & Robert, Corinne, 2024. "Understanding changes in reducing pesticide use by farmers: Contribution of the behavioural sciences," Agricultural Systems, Elsevier, vol. 214(C).
    3. 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).
    Full references (including those not matched with items on IDEAS)

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