Evawaynie Valquis Md. Isa
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Evawaynie Valquis Md. Isa
Official Name
Evawaynie Valquis, Md. Isa
Alternative Name
Md Isa, Evawaynie Valquis
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57223346169

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Demographic disparities in 5G technology adoption among paddy farmers in Kedah: a comprehensive study

2024-03 , Nurul Hazwani Abdul Hamid , Noormaizatul Akmar Ishak , Ahmad Tajudin Baharin , Evawaynie Valquis Md. Isa , Mohd Fisol Osman

This research aims to investigate the adoption of 5G technology within the agricultural sector, specifically among rice farmers in Kedah, Malaysia, and understand the demographic disparities in 5G adoption. It also addresses the challenge of equitable 5G technology adoption and explores how demographic factors such as gender, age, ethnicity, and income levels influence adoption patterns. A mixed-methods approach, comprising surveys, interviews, and field observations, is employed to collect data from a diverse sample of farmers. The study utilizes theoretical frameworks related to automation, productivity, and connectivity to analyze the impact of 5G technology on agricultural practices. Only descriptive analysis of demographic characteristics will be reported after the survey is conducted using a questionnaire through the What'sApp application. The research reveals significant gender imbalances in adoption rates, with implications for equitable access to technological advancements. It also highlights the influence of age and income on adoption patterns. The study underscores the importance of tailored strategies to ensure the adoption of inclusive 5G technology in the agricultural sector

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Publication

Demographic disparities in 5G technology adoption among paddy farmers in Kedah: a comprehensive study

2024-03 , Nurul Hazwani Abdul Hamid , Noormaizatul Akmar Ishak , Ahmad Tajudin Baharin , Evawaynie Valquis Md. Isa , Mohd Fisol Osman

This research aims to investigate the adoption of 5G technology within the agricultural sector, specifically among rice farmers in Kedah, Malaysia, and understand the demographic disparities in 5G adoption. It also addresses the challenge of equitable 5G technology adoption and explores how demographic factors such as gender, age, ethnicity, and income levels influence adoption patterns. A mixed-methods approach, comprising surveys, interviews, and field observations, is employed to collect data from a diverse sample of farmers. The study utilizes theoretical frameworks related to automation, productivity, and connectivity to analyze the impact of 5G technology on agricultural practices. Only descriptive analysis of demographic characteristics will be reported after the survey is conducted using a questionnaire through the What'sApp application. The research reveals significant gender imbalances in adoption rates, with implications for equitable access to technological advancements. It also highlights the influence of age and income on adoption patterns. The study underscores the importance of tailored strategies to ensure the adoption of inclusive 5G technology in the agricultural sector.

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