Diffusion of Innovations and the Theory of Planned Behavior in Information Systems Research: A Metaanalysis

Fred K. Weigel, Benjamin T. Hazen, Casey G. Cegielski, Dianne J. Hall · 2014 · Communications of the Association for Information Systems

Summary. This meta-analysis examines how well Diffusion of Innovations and Theory of Planned Behavior predict technology adoption in information systems research. Analyzing 58 empirical studies, the authors found that attitude toward behavior, relative advantage, and compatibility are the strongest predictors of adoption, while complexity negatively affects it. These relationships hold consistently across different studies, validating core assumptions in IS innovation research.

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@article{weigel-2014-diffusion-innovations-theory-planned-behavior,
  title   = {Diffusion of Innovations and the Theory of Planned Behavior in Information Systems Research: A Metaanalysis},
  author  = {Fred K. Weigel and Benjamin T. Hazen and Casey G. Cegielski and Dianne J. Hall},
  journal = {Communications of the Association for Information Systems},
  year    = {2014},
  doi     = {10.17705/1cais.03431},
  url     = {https://doi.org/10.17705/1cais.03431}
}

TY  - JOUR
TI  - Diffusion of Innovations and the Theory of Planned Behavior in Information Systems Research: A Metaanalysis
AU  - Fred K. Weigel
AU  - Benjamin T. Hazen
AU  - Casey G. Cegielski
AU  - Dianne J. Hall
JO  - Communications of the Association for Information Systems
PY  - 2014
DO  - 10.17705/1cais.03431
UR  - https://doi.org/10.17705/1cais.03431
ER  - 

Details

DOI

10.17705/1cais.03431

Countries

United States

Regions

North America

Categories

innovation-theory, innovation-networks, general-innovation

Added

2026-04-28