Skip to content
Research Article Open access CC BY 4.0

Analyzing Rice Farmers’ Intention to Adopt Modern Rice Technologies Using Technology Acceptance Model (TAM)

Ryan Mark A. Ambong, Maybelle A. Paulino

Asian Research Journal of Agriculture · pp. 21–30 · Published 6 Jun 2020

10.9734/arja/2020/v13i130094

Abstract

This paper analyzes rice farmers’ intention to adopt modern rice technologies using the Technology Acceptance Model (TAM). Quantitative data were gathered through a survey among 404 rice farmers selected using three-stage sampling design. The empirical analysis was done using Partial Least Squares Structural Equation Modeling (PLS-SEM) via WARP PLS software version 3.0. The outcome of the hypothesized framework shows that perceived usefulness and relative advantage have a direct and significant influence on farmers’ attitude towards modern rice technologies. This implies that the perceived usefulness and relative advantage of the technology influences the positive or negative attitude of the farmers toward the technology. On the other hand, the model suggests that perceived convenience of the technology does not influence farmers’ attitude. Nevertheless, the hypothesized model demonstrates that farmers’ intention influences their decision to adopt modern rice technologies. The paper suggests that further studies be conducted to incorporate external variables in TAM.

PLS-SEM rice technologies TAM technology adoption technology transfer.

Cited by 9

Analysis of Qr Code Technology Acceptance in Cocoa Production Forecasting Based on Motivation, Farmer Characteristics, and Innovation Nature

Ramdan Ramdan, Iwan Setiawan, Anne Charina · Agrisocionomics: Jurnal Sosial Ekonomi Pertanian · 2025

Smart Farming Adoption – A Scoping Review

Amirul Asyraf Zhahir, Mohd Ilias M Shuhud, Siti Munirah Mohd · KONSTELASI: Konvergensi Teknologi dan Sistem Informasi · 2024

Examining the Relationship Between the use of Mobile Phones and Extension Methods in Adoption of Groundnut Farming Practices in Northwestern Nigeria

Tijjani Abu Rimi, Nur Bahiah Mohamed Haris, Salim Hassan · International Journal of Social Science Research · 2022

Factors influencing internet usage preferences of tribal farmers in Northern Thailand

Parisa Phiaaia, Chaiteera Panpakdee · Telecommunications Policy · 2025

The role of training on smallholder farmers’ adoption of orange-fleshed sweet potato in Ethiopia

Lidya Samuel, Marcia Dutra de Barcellos, Nathaline Onek Aparo · PLOS One · 2026

German farmers’ intention to use autonomous field robots: a PLS-analysis

Friedrich Rübcke von Veltheim, Ludwig Theuvsen, Heinke Heise · Precision Agriculture · 2021

Digital marketing factors and buying behaviour in the fashion industry: Evidence from GEN Z consumers in Africa

Mulikat Abdulraheem, Ebun Imouokhome, Tajudeen Abdulsalam · Ekonomski pogledi · 2025

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

9

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.