Environmental Attitudes and Diffusion of Innovations: The Energy Saving Case

Martín, R., Corraliza, J., & Berenguer, J. (2003). Environmental attitudes and diffusion of innovations: The energy saving case. People, places, and sustainability (pp. 291-301). Ashland, OH US: Hogrefe & Huber Publishers. Retrieved from PsycINFO database.
(from the chapter) Assesses the influence of different environmental attitudes and habits on behavioral intentions affecting sustainability. The sample was made up of 253 Spanish …

Nonlinear Models for the Adoption and Diffusion of Innovations for Industrial Energy Conservation

Jacobsen, J., & Guastello, S. (2007). Nonlinear models for the adoption and diffusion of innovations for industrial energy conservation. Nonlinear Dynamics, Psychology, and Life Sciences, 11(4), 499-520.
Four different theoretical models for explaining the diffusion of innovation were compared for 13 energy-related innovations—the Theory of Planned Behavior, the S-curve for Diffus…

Thought for Fuelling Change: A Review of Three Models for Understanding Environmentally Significant Transitions

Klupfel, E.J., Pfeiffer, W.C., Filson, G.C. (2003). Thought for fuelling change: A review of three models for understanding environmentally significant transitions. Environmentalist, 23(1), 29-38.
For over a century, western economic development has depended upon the use of combustible hydrocarbons for its energy needs. The 20th century saw the prolific exploitation of foss…

A Sociotechnical Mapping of Domestic Biomass Heating Systems in Austria

Rohracher, H. (2002). A sociotechnical mapping of domestic biomass heating systems in Austria. Bulletin of Science, Technology & Society, 22(6), 474-483.
Introducing the perspective of science and technology studies (STS) to the analysis of the design and adoption of environmentally friendly technologies may help develop more effec…

Factors Necessary for the Social Diffusion of Social Energy in New England

Sawyer, S.W. (1982). Leaders in change: Solar energy owners and the implications for future adoption rates. Technological Forecasting and Social Change,21, 201-211.
Diffusion of solar energy is most likely when the first group to adopt the innovation is well respected within the community, is well educated, and is willing to try new ideas. F…

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