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

Yogavarthiny Ravindran, Nur Bahiah Mohamed Haris, Jasmin Arif Shah and Wan Fazilah Fazlil Ilahi
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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

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 8, 4011-4020

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.

Date: 2024
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