Article ID Journal Published Year Pages File Type
1509473 Energy Procedia 2015 7 Pages PDF
Abstract

Eco-innovation will play a major role in contributing to a sustainable future. Understanding the diffusion is critical, since the diffusion rate is slow and the path unclear. We present the conceptual methodology for eco-innovation diffusion. This methodology combines mixed and combined research methodology to improve the validity and reliability of results. A survey is used as a quantitative method; artificial neural networks and system dynamic are applied as qualitative methods. With this article we aim to contribute to the applications of combined and mixed methods research in the field of eco-innovation diffusion. The application of the presented methodology can be extended for other problems.

Related Topics
Physical Sciences and Engineering Energy Energy (General)