| Issue |
E3S Web Conf.
Volume 595, 2024
5th International Conference on Agribusiness and Rural Development (IConARD 2024)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 8 | |
| Section | Agricultural Economic and Business | |
| DOI | https://doi.org/10.1051/e3sconf/202459501001 | |
| Published online | 22 November 2024 | |
Farmers’ Strategic of the Sustainability of Corporate-Based Cassava Farming: A Study of Technology Adoption on Farming Performance
1 Department of Agribusiness, Faculty of Economics and Business, Universitas Muhammadiyah Semarang, Indonesia
2 Department of Management, Faculty of Economics and Business, Universitas Muhammadiyah Semarang, Indonesia
3 Department of Agribusiness, Faculty of Economic, Universitas Muhammadiyah Aceh, Indonesia
* Corresponding author: nurmuttaqien@unimus.ac.id
Technology adoption is crucial for agribusiness growth, enabling farmers to meet competitive market demands. Rural farmers need to adopt technology to improve their businesses and lives. This study aims to identify the most prominent factors that influence the adoption of corporate-based cassava farmer technology on farming performance. Using a quantitative method, the study was conducted in Puntukrejo Village, Karanganyar Regency, Indonesia. In this study, which included 65 respondents, structural equation modelling (SEM-PLS) based on WARP-PLS was used to identify the critical features that yield the best agricultural performance. The results showed that creativity, annual income, education, and land suitability affect technology adoption. The creativity variable had the most significant path coefficient, indicating that farmers’ success will be significantly influenced by their level of creativity. The study suggests that enhancing land suitability, annual income, and education could significantly encourage the community to embrace technology for sustainable cassava farming.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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