Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory
Summary. This study examines what drives consumer adoption of smartwatches by combining two behavioral theories. Researchers surveyed 291 smartwatch users and found that both psychological factors (like perceived control and curiosity) and technical factors (compatibility and complexity) shape whether people intend to use the technology. Compatibility emerged as the strongest predictor of adoption intent, while curiosity and complexity showed the highest performance impact.
Cite this article
Açikgöz, F., Elwalda, A., & Oliveira, M. J. D.. (2023). Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory. International Journal of Information Management Data Insights. https://doi.org/10.1016/j.jjimei.2022.100152
Açikgöz, Fulya, et al. “Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory.” International Journal of Information Management Data Insights, 2023. https://doi.org/10.1016/j.jjimei.2022.100152.
Açikgöz, Fulya, Abdulaziz Elwalda, and Mauro José de Oliveira. 2023. “Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory.” International Journal of Information Management Data Insights. https://doi.org/10.1016/j.jjimei.2022.100152.
@article{a-ikg-z-2023-curiosity-cutting-edge-technology-via,
title = {Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory},
author = {Fulya Açikgöz and Abdulaziz Elwalda and Mauro José de Oliveira},
journal = {International Journal of Information Management Data Insights},
year = {2023},
doi = {10.1016/j.jjimei.2022.100152},
url = {https://doi.org/10.1016/j.jjimei.2022.100152}
}
TY - JOUR TI - Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory AU - Fulya Açikgöz AU - Abdulaziz Elwalda AU - Mauro José de Oliveira JO - International Journal of Information Management Data Insights PY - 2023 DO - 10.1016/j.jjimei.2022.100152 UR - https://doi.org/10.1016/j.jjimei.2022.100152 ER -
Details
- DOI
- 10.1016/j.jjimei.2022.100152
- Countries
- United Kingdom, Brazil
- Regions
- Europe, South America
- Categories
- innovation-theory, broadband-and-digital, general-innovation
- Added
- 2026-04-28