Using innovation diffusion theory to guide collaboration technology evaluation: work in progress
Summary. Researchers developed a survey instrument based on innovation diffusion theory to evaluate collaboration technology adoption. The survey measures five key attributes—relative advantage, compatibility, complexity, trialability, and observability—that influence whether groups adopt new systems. The team tested whether face-to-face versus distributed use affects adoption attitudes and refined the survey's reliability and validity for early-stage technology evaluation.
Cite this article
Sonnenwald, D. H., Maglaughlin, K. L., & Whitton, M. C.. (2002). Using innovation diffusion theory to guide collaboration technology evaluation: work in progress. https://doi.org/10.1109/enabl.2001.953399
Sonnenwald, Diane H., et al. “Using innovation diffusion theory to guide collaboration technology evaluation: work in progress.” 2002. https://doi.org/10.1109/enabl.2001.953399.
Sonnenwald, Diane H., Kelly L. Maglaughlin, and Mary C. Whitton. 2002. “Using innovation diffusion theory to guide collaboration technology evaluation: work in progress.” https://doi.org/10.1109/enabl.2001.953399.
@article{sonnenwald-2002-using-innovation-diffusion-theory-guide,
title = {Using innovation diffusion theory to guide collaboration technology evaluation: work in progress},
author = {Diane H. Sonnenwald and Kelly L. Maglaughlin and Mary C. Whitton},
year = {2002},
doi = {10.1109/enabl.2001.953399},
url = {https://doi.org/10.1109/enabl.2001.953399}
}
TY - JOUR TI - Using innovation diffusion theory to guide collaboration technology evaluation: work in progress AU - Diane H. Sonnenwald AU - Kelly L. Maglaughlin AU - Mary C. Whitton PY - 2002 DO - 10.1109/enabl.2001.953399 UR - https://doi.org/10.1109/enabl.2001.953399 ER -
Details
- DOI
- 10.1109/enabl.2001.953399
- Countries
- United States
- Regions
- North America
- Categories
- innovation-theory, innovation-networks, general-innovation
- Added
- 2026-04-28