Diffusion of Innovations is a theory that seeks to explain how, why, and at what rate new ideas and technology spread through cultures. Everett Rogers, a professor of rural sociology, popularized the theory in his 1962 book Diffusion of Innovations. He said diffusion is the process by which an innovation is communicated through certain channels over time among the members of a social system. The origins of the diffusion of innovations theory are varied and span multiple disciplines. Rogers (1962) espoused the theory that there are four main elements that influence the spread of a new idea: the innovation, communication channels, time, and a social system. This process relies heavily on human capital. The innovation must be widely adopted in order to self-sustain. Within the rate of adoption, there is a point at which an innovation reaches critical mass.The categories of adopters are: innovators, early adopters, early majority, late majority, and laggards (Rogers 1962, p. 150). Diffusion of Innovations manifests itself in different ways in various cultures and fields and is highly subjective to the type of adopters and innovation-decision process.
Link to Complete Bibliography
For a complete bibliography, please visit the CTLT's [ shared folder] on Refworks.
Alias, N. (2005). Innovation for better teaching and learning: adopting the learning management system. Malaysian Online Journal of Instructional Technology, 2(2).
Black, E. W., Beck, D., Dawson, K., Jinks, S.,& DiPietro, M. (2007). The other side of the LMS: Considering implementation and use in the adoption of an LMS in online and blended learning environments.TechTrends, 51(2). Permalink
Bowers, K. ,Ragas, M., Neely, J. (2009). Assessing the value of virtual worlds for post-secondary instructors: A survey of innovators, early adopters and the early majority in Second Life. International Journal of Humanities and Social Sciences, 3(1), 40-50.Permalink
Crescente, M. L., & Lee, D. (2011). Critical issues of m-learning: Design models, adoption processes, and future trends. Journal of the Chinese Institute of Industrial Engineers, 28(2), 111-123.Permalink
Duan, Y., He, Q., Feng, W., Li, D., & Fu, Z. (2010). A study on e-learning take-up intention from an innovation adoption perspective: A case in china. Computers & Education, 55(1), 237-246.
Fresen, J. (2010).factors influencing lecture uptake of e-learning.Teaching English with Technology – Special Issue on LAMS and Learning Design, 11 (1), 81-97. Permalink
Keller, C. (2005). Virtual learning environments: Three implementation perspectives. Learning, Media & Technology, 30(3), 299-311.
Kilmon, C. & Fagan, M. H. (2007). Course management software adoption: A diffusion of innovations perspective. Campus-Wide Information Systems, 24(2), 134-144.
Nanayakkara, C. & Whiddett, D.(2005).A model of user acceptance of e-learning technologies: A case study of a Polytechnic in New Zealand.Proceedings of the Fourth International Conference on Information Systems Technology and its Application. Palmerston North, New Zealand, GI.Permalink
Powell, P., Ed.D. (2008). Diffusion of innovation: A case study of course management system adoption.Dissertation.Permalink
Rivera, R. C. Learning-Communication Interfaces Model: Implications to Virtual Learning.Permalink
Roeper, K. (2011).Identification of the Institutional Factors Within State Systems of Higher Education in the Middle Eastern States Region for the Adoption of Webinars. Doctoral Dissertation, Indiana University of Pennsylvania. Permalink
Romiszowski, A. (2004).How's the e-learning baby? Factors leading to success or failure of an educational technology innovation.Educational technology.Educational technology,44(1).Permalink