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Understanding and Accelerating the Diffusion Process of Energy-Efficient Buildings: Introducing an Action Science Venture
ISBN
978-0-9745329-4-3
Type
conference paper
Date Issued
2006-08-05
Author(s)
Editor(s)
Größler, Andreas
Abstract
This paper describes the innovative research approach of a project that has recently been funded by the Swiss National Science Foundation (SNF). The project aims at analyzing and accelerating managerial and organizational adaptation processes that foster the diffusion of pioneering energy efficient technologies in the building sector. Psychological, managerial, and economic theories as well as results of empirical investigations about antecedents of behavior choices will be synthesized into a simulation model for a middle-sized Swiss city. The model will shed light on dynamic interactions between behavioral factors (e.g., planning, decision making and routines of the relevant actors in the building sector) and contextual factors (e.g., technological innovations, public initiatives, and market conditions), thus explaining the diffusion of energy efficient buildings in a community. The objective of the paper is to discuss the chosen approach, to explore the nature of the topic and present first research heuristics.
Language
English
Keywords
transdisciplinary modeling
hybrid system modeling approaches
cognitive mapping
system dynamics
building behavior
socio-technological change
behavior change in value creation chains
stakeholder management
HSG Classification
contribution to scientific community
Refereed
Yes
Book title
Proceedings of the 24th International Conference of the System Dynamics Society
Publisher
System Dynamics Society
Publisher place
University at Albany, State University of New York, NY, USA
Start page
99
Event Title
24th International Conference of the System Dynamics Society
Event Location
Nijmegen
Event Date
23.-27.07.2006
Subject(s)
Division(s)
Eprints ID
34591
File(s)
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open access
Name
Understanding and accelerating the diffusion process of energy-efficient buildings.pdf
Size
511.69 KB
Format
Adobe PDF
Checksum (MD5)
b9405bc0a4a703c2e9f6608b4632f6ab