Details zur Publikation |
Kategorie | Textpublikation |
Referenztyp | Zeitschriften |
DOI | 10.1016/j.techfore.2008.03.024 |
Titel (primär) | Agent-based modeling of the diffusion of environmental innovations - An empirical approach |
Autor | Schwarz, N.; Ernst, A. |
Quelle | Technological Forecasting and Social Change |
Erscheinungsjahr | 2009 |
Department | CLE |
Band/Volume | 76 |
Heft | 4 |
Seite von | 497 |
Seite bis | 511 |
Sprache | englisch |
Keywords | Agent-based model; Innovation diffusion; Water saving; Survey |
Abstract | This paper presents an agent-based model of the diffusion of water-saving innovations. The empirical foundation of this model is a study, which was carried out for that specific purpose. As an example case, the diffusion of three water-related innovations in Southern Germany was chosen. The model represents a real geographic area and simulates the diffusion of showerheads, toilet flushes, and rain-harvesting systems. Agents are households of certain lifestyles, as represented by the Sinus-Milieus® from commercial marketing. Agents use two different kinds of decision rules to decide upon adoption or rejection of the modeled innovations: A cognitively demanding deliberate decision rule and a very simple decision heuristic. Thus, the model integrates concepts of bounded rationality. The overall framework for decision-making is the Theory of Planned Behavior, which has been elaborated using innovation characteristics from diffusion research. The model was calibrated with empirical data stemming from a questionnaire survey and validated against independent data. Scenarios for the nearer future show that water-saving innovations will diffuse even without further promotion, and different promotion strategies that relate specifically to both innovations and lifestyles can be pointed out. |
dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=596 |
Schwarz, N., Ernst, A. (2009): Agent-based modeling of the diffusion of environmental innovations - An empirical approach Technol. Forecast. Soc. Chang. 76 (4), 497 - 511 10.1016/j.techfore.2008.03.024 |