Agricultural specialists intention toward precision agriculture technologies: integrating innovation characteristics to technology acceptance model
Summary. Agricultural specialists in Iran show stronger intention to adopt precision agriculture technologies when they can observe results, try the technology first, and find it easy to use. Attitude toward using the technology is the strongest predictor of adoption intention. Perceived usefulness and ease of use influence adoption indirectly through attitude, not directly.
Cite this article
Rezaei‐Moghaddam, K., & Salehi, S.. (2010). Agricultural specialists intention toward precision agriculture technologies: integrating innovation characteristics to technology acceptance model. African Journal of Agricultural Research. https://doi.org/10.5897/ajar09.506
Rezaei‐Moghaddam, Kurosh, and Saeid Salehi. “Agricultural specialists intention toward precision agriculture technologies: integrating innovation characteristics to technology acceptance model.” African Journal of Agricultural Research, 2010. https://doi.org/10.5897/ajar09.506.
Rezaei‐Moghaddam, Kurosh, and Saeid Salehi. 2010. “Agricultural specialists intention toward precision agriculture technologies: integrating innovation characteristics to technology acceptance model.” African Journal of Agricultural Research. https://doi.org/10.5897/ajar09.506.
@article{rezaei-moghaddam-2010-agricultural-specialists-intention-toward-precision,
title = {Agricultural specialists intention toward precision agriculture technologies: integrating innovation characteristics to technology acceptance model},
author = {Kurosh Rezaei‐Moghaddam and Saeid Salehi},
journal = {African Journal of Agricultural Research},
year = {2010},
doi = {10.5897/ajar09.506},
url = {https://academicjournals.org/journal/AJAR/article-abstract/C9D6FC933211}
}
TY - JOUR TI - Agricultural specialists intention toward precision agriculture technologies: integrating innovation characteristics to technology acceptance model AU - Kurosh Rezaei‐Moghaddam AU - Saeid Salehi JO - African Journal of Agricultural Research PY - 2010 DO - 10.5897/ajar09.506 UR - https://academicjournals.org/journal/AJAR/article-abstract/C9D6FC933211 ER -
Details
- DOI
- 10.5897/ajar09.506
- Countries
- Iran
- Categories
- agtech, innovation-theory
- Added
- 2026-04-28