Modifying UTAUT and innovation diffusion theory to reveal online shopping behavior
Summary. This study combines technology acceptance and innovation diffusion theories to understand online shopping behavior for smartphones. The research finds that website performance and ease of use increase familiarity with the site, while virtual communities and product trials boost product familiarity. Perceived risk reduces purchase intention. Website and product familiarity mediate the relationship between these factors and buying decisions. Managers should build online communities and provide detailed product trial information to increase consumer familiarity and purchase intent.
Cite this article
Chang, H. H., Fu, C., & Jain, H. T.. (2015). Modifying UTAUT and innovation diffusion theory to reveal online shopping behavior. Information Development. https://doi.org/10.1177/0266666915623317
Chang, Hsin Hsin, et al. “Modifying UTAUT and innovation diffusion theory to reveal online shopping behavior.” Information Development, 2015. https://doi.org/10.1177/0266666915623317.
Chang, Hsin Hsin, Chen Fu, and Hsiou Ting Jain. 2015. “Modifying UTAUT and innovation diffusion theory to reveal online shopping behavior.” Information Development. https://doi.org/10.1177/0266666915623317.
@article{chang-2015-modifying-utaut-innovation-diffusion-theory,
title = {Modifying UTAUT and innovation diffusion theory to reveal online shopping behavior},
author = {Hsin Hsin Chang and Chen Fu and Hsiou Ting Jain},
journal = {Information Development},
year = {2015},
doi = {10.1177/0266666915623317},
url = {https://doi.org/10.1177/0266666915623317}
}
TY - JOUR TI - Modifying UTAUT and innovation diffusion theory to reveal online shopping behavior AU - Hsin Hsin Chang AU - Chen Fu AU - Hsiou Ting Jain JO - Information Development PY - 2015 DO - 10.1177/0266666915623317 UR - https://doi.org/10.1177/0266666915623317 ER -
Details
- DOI
- 10.1177/0266666915623317
- Categories
- innovation-theory, broadband-and-digital, general-innovation
- Added
- 2026-04-28