Developing an integrative model for understanding innovation adoption

Abstract

We develop and test a model of organizational innovation adoption designed to incorporate existing predictor variables into a theoretically-based integrative model. Confirmatory factor analyses using responses from 134 organizations showed that the hypothesized second-order model was a better fit to the data than the traditional first-order model of independent factors. Furthermore, although not all elements of the model were significant, the hypothesized model of attitudes, perceived control and subjective norms fit innovation adoption data better than the traditional model. We suggest that the new model provides greater understanding of innovation adoption and enables researchers to not only categorize factors, but also to understand why they are important and to identify future fertile research areas.