A Model of Muddling Through
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Cited by:
- Ash, Elliott & Morelli, Massimo & Vannoni, Matia, 2022.
"More Laws, More Growth? Evidence from U.S. States,"
CEPR Discussion Papers
15629, C.E.P.R. Discussion Papers.
- Elliott Ash & Massimo Morelli & Matia Vannoni, 2022. "More Laws, More Growth? Evidence from U.S. States," BAFFI CAREFIN Working Papers 22178, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
- Alberto Asquer & Inna Krachkovskaya, 2021. "Uncertainty, institutions and regulatory responses to emerging technologies: CRISPR Gene editing in the US and the EU (2012–2019)," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1111-1127, October.
- Kollman, Ken & Miller, John H. & Page, Scott E., 1997. "Landscape formation in a spatial voting model," Economics Letters, Elsevier, vol. 55(1), pages 121-130, August.
- Martens, Rudy & Matthyssens, Paul & Vandenbempt, Koen, 2012. "Market strategy renewal as a dynamic incremental process," Journal of Business Research, Elsevier, vol. 65(6), pages 720-728.
- I. A. Antipin & N. Yu. Vlasova, 2020. "Incremental approach to regional strategising: Theory, methodology, practices," Journal of New Economy, Ural State University of Economics, vol. 21(3), pages 73-90, October.
- Sai Yayavaram & Sasanka Sekhar Chanda, 2023. "Decision making under high complexity: a computational model for the science of muddling through," Computational and Mathematical Organization Theory, Springer, vol. 29(2), pages 300-335, June.
- Bettis-Outland, Harriette, 2012. "Decision-making's impact on organizational learning and information overload," Journal of Business Research, Elsevier, vol. 65(6), pages 814-820.
- Wiek, Arnim & Walter, Alexander I., 2009. "A transdisciplinary approach for formalized integrated planning and decision-making in complex systems," European Journal of Operational Research, Elsevier, vol. 197(1), pages 360-370, August.
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