Assessing the Readiness of Implementing Internet of Things (IoT) Systems among Malaysian Agricultural Graduates
DOI:
https://doi.org/10.53797/ajvah.v5i2.2.2024Keywords:
Internet of Things (IoT), Theory Acceptance Model (TAM), Agricultural Graduate, Precision Agriculture, Smart FarmingAbstract
The Internet of Things (IoT) has emerged as a transformative technology in agriculture, offering innovative solutions to enhance productivity and sustainability. This study examines the readiness of agricultural graduates from four Malaysian universities to adopt IoT technologies, addressing challenges in the agricultural sector. The research assesses graduates' understanding, attitudes, and perceived usefulness of IoT, identifying factors influencing their preparedness for IoT integration. Data collected from 204 respondents through a structured questionnaire revealed that perceived usefulness is the strongest predictor of IoT readiness, followed by perceived behavioral control and social influences. Attitude, though positively correlated, was not a significant predictor. The study extends the Technology Acceptance Model (TAM) by incorporating perceived behavioral control and social influences, offering theoretical and practical insights. It recommends integrating IoT-related subjects and hands-on training in educational programs to enhance readiness. Future research should explore external factors like IoT infrastructure and government policies to understand barriers and facilitators of IoT adoption in agriculture.
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