A review of designing empirically grounded agent-based models of innovation diffusion: Development process, conceptual foundation and research agenda
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- Christian Stummer & Lars Lüpke & Markus Günther, 2021. "Beaming market simulation to the future by combining agent-based modeling with scenario analysis," Journal of Business Economics, Springer, vol. 91(9), pages 1469-1497, November.
- Grace B. Villamor & Andrew Dunningham & Philip Stahlmann-Brown & Peter W. Clinton, 2022. "Improving the Representation of Climate Change Adaptation Behaviour in New Zealand’s Forest Growing Sector," Land, MDPI, vol. 11(3), pages 1-18, March.
- Chappin, Emile J.L. & Schleich, Joachim & Guetlein, Marie-Charlotte & Faure, Corinne & Bouwmans, Ivo, 2022. "Linking of a multi-country discrete choice experiment and an agent-based model to simulate the diffusion of smart thermostats," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
- Ran Sun & James Nolan & Suren Kulshreshtha, 2022. "Agent-based modeling of policy induced agri-environmental technology adoption," SN Business & Economics, Springer, vol. 2(8), pages 1-26, August.
- Dominković, D.F. & Weinand, J.M. & Scheller, F. & D'Andrea, M. & McKenna, R., 2022. "Reviewing two decades of energy system analysis with bibliometrics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
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More about this item
Keywords
Innovation diffusion models; Agent-based models; Empirically grounded models; Data driven models; Literature review;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2019-02-25 (Computational Economics)
- NEP-HME-2019-02-25 (Heterodox Microeconomics)
- NEP-INO-2019-02-25 (Innovation)
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