Michael Prietula

Personal Details

First Name:	Michael
Middle Name:
Last Name:	Prietula
Suffix:
RePEc Short-ID:	ppr176
	[This author has chosen not to make the email address public]

Affiliation

(in no particular order)

Goizueta Business School
Emory University

Atlanta, Georgia (United States)
http://goizueta.emory.edu/
RePEc:edi:bsemous (more details at EDIRC)

Department of Economics
Tepper School of Business Administration
Carnegie Mellon University

Pittsburgh, Pennsylvania (United States)
http://www.tepper.cmu.edu/undergraduate-economics/
RePEc:edi:decmuus (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

Sorry, no citations of working papers recorded.

Articles

1. Prietula, Michael J. & Watson, Harry S., 2008. "When behavior matters: Games and computation in A Behavioral Theory of the Firm," Journal of Economic Behavior & Organization, Elsevier, vol. 66(1), pages 74-94, April.

   Cited by:

   1. Michael I.C. Nwogugu, 2019. "Complex Systems, Multi-Sided Incentives and Risk Perception in Companies," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-44704-3, December.

2. Kathleen Carley & Michael J. Prietula & Zhiang (John) Lin, 1998. "Design Versus Cognition: the Interaction of Agent Cognition and Organizational Design on Organizational Performance," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-4.

   Cited by:

   1. Davide Secchi & Nicole L. Gullekson, 2016. "Individual and organizational conditions for the emergence and evolution of bandwagons," Computational and Mathematical Organization Theory, Springer, vol. 22(1), pages 88-133, March.
   2. Gero Schwenk & Torsten Reimer, 2008. "Simple Heuristics in Complex Networks: Models of Social Influence," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-4.
   3. Zhiang (John) Lin & Xia Zhao & Kiran M. Ismail & Kathleen M. Carley, 2006. "Organizational Design and Restructuring in Response to Crises: Lessons from Computational Modeling and Real-World Cases," Organization Science, INFORMS, vol. 17(5), pages 598-618, October.
   4. Kathleen M. Carley, 1999. "On generating hypotheses using computer simulations," Systems Engineering, John Wiley & Sons, vol. 2(2), pages 69-77.
   5. Martin Natter & Andreas Mild & Markus Feurstein & Georg Dorffner & Alfred Taudes, 2001. "The Effect of Incentive Schemes and Organizational Arrangements on the New Product Development Process," Management Science, INFORMS, vol. 47(8), pages 1029-1045, August.
   6. Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2009. "Negotiation of the revenue sharing contract: An agent-based systems approach," International Journal of Production Economics, Elsevier, vol. 122(2), pages 558-566, December.
   7. Zhiang Lin, 2000. "Organizational Performance Under Critical Situations—Exploring the Role of Computer Modeling in Crisis Case Analyses," Computational and Mathematical Organization Theory, Springer, vol. 6(3), pages 277-310, September.

Books

1. Michael Prietula & Kathleen Carley & Les Gasser (ed.), 1998. "Simulating Organizations: Computational Models of Institutions and Groups," MIT Press Books, The MIT Press, edition 1, volume 1, number 026266108x, April.

   Cited by:

   1. Zheng Ma & Mette Jessen Schultz & Kristoffer Christensen & Magnus Værbak & Yves Demazeau & Bo Nørregaard Jørgensen, 2019. "The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review," Energies, MDPI, vol. 12(16), pages 1-31, August.
   2. Lucio Biggiero & Enrico Sevi, 2009. "Opportunism by cheating and its effects on industry profitability. The CIOPS model," Computational and Mathematical Organization Theory, Springer, vol. 15(3), pages 191-236, September.
   3. Richard Freeman & Douglas Kruse & Joseph Blasi, 2008. "Worker Responses To Shirking Under Shared Capitalism," NBER Working Papers 14227, National Bureau of Economic Research, Inc.
      • Richard B. Freeman & Douglas L. Kruse & Joseph R. Blasi, 2010. "Worker Responses to Shirking under Shared Capitalism," NBER Chapters, in: Shared Capitalism at Work: Employee Ownership, Profit and Gain Sharing, and Broad-based Stock Options, pages 77-103, National Bureau of Economic Research, Inc.
   4. Yutaka I. Leon Suematsu & Keiki Takadama & Norberto E. Nawa & Katsunori Shimohara & Osamu Katai, 2003. "Analyzing The Agent-Based Model And Its Implications," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 331-347.
   5. vom Brocke, Jan & Braccini, Alessio Maria & Sonnenberg, Christian & Spagnoletti, Paolo, 2014. "Living IT infrastructures — An ontology-based approach to aligning IT infrastructure capacity and business needs," International Journal of Accounting Information Systems, Elsevier, vol. 15(3), pages 246-274.
   6. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
      • Tesfatsion, Leigh, 2007. "Agent-based computational economics," ISU General Staff Papers 200701010800001423, Iowa State University, Department of Economics.
      • Tesfatsion, Leigh, 2003. "Agent-Based Computational Economics," ISU General Staff Papers 200301010800001248, Iowa State University, Department of Economics.
   7. Kruse, Douglas & Blasi, Joseph & Freeman, Richard B., 2004. "Monitoring colleagues at work: profit-sharing, employee ownership, broad-based stock options and workplace performance in the United States," LSE Research Online Documents on Economics 19943, London School of Economics and Political Science, LSE Library.
      • Joseph Blasi & Richard Freeman & Douglas Kruse, 2004. "Monitoring Colleagues at Work: Profit-Sharing, Employee Ownership, Broad-Based Stock Options and Workplace Performance in the United States," CEP Discussion Papers dp0647, Centre for Economic Performance, LSE.
   8. Emanuele Borgonovo & Marco Pangallo & Jan Rivkin & Leonardo Rizzo & Nicolaj Siggelkow, 2022. "Sensitivity analysis of agent-based models: a new protocol," Computational and Mathematical Organization Theory, Springer, vol. 28(1), pages 52-94, March.
   9. C. Schinckus, 2012. "Methodological comment on Econophysics review I and II: statistical econophysics and agent-based econophysics," Quantitative Finance, Taylor & Francis Journals, vol. 12(8), pages 1189-1192, June.
   10. Riccardo Boero & Marco Castellani & Flaminio Squazzoni, 2008. "Individual behavior and macro social properties. An agent-based model," Computational and Mathematical Organization Theory, Springer, vol. 14(2), pages 156-174, June.
   11. Benjamin Lev, 1999. "Book Reviews," Interfaces, INFORMS, vol. 29(1), pages 135-141, February.
   12. Albino, Vito & Carbonara, Nunzia & Giannoccaro, Ilaria, 2007. "Supply chain cooperation in industrial districts: A simulation analysis," European Journal of Operational Research, Elsevier, vol. 177(1), pages 261-280, February.
   13. Max Boisot & Yan Li, 2006. "Organizational versus Market Knowledge: From Concrete Embodiment to Abstract Representation," Journal of Bioeconomics, Springer, vol. 8(3), pages 219-251, December.
   14. Richard M. Burton, 2003. "Computational Laboratories for Organization Science: Questions, Validity and Docking," Computational and Mathematical Organization Theory, Springer, vol. 9(2), pages 91-108, July.
   15. Nicholas V. Findler & Raphael M. Malyankar, 2000. "An Empirical Approach to a Theory of Coordination. Part I: Design Principles and First Results," Computational and Mathematical Organization Theory, Springer, vol. 6(2), pages 119-144, July.
   16. Yuya Ushida & Kiyohiko Hattori & Keiki Takdama, 2010. "Modeling collective adaptive agent design and its analysis in Barnga game," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 137-154, December.
   17. Michael J. Ashworth & Kathleen M. Carley, 2007. "Can tools help unify organization theory? Perspectives on the state of computational modeling," Computational and Mathematical Organization Theory, Springer, vol. 13(1), pages 89-111, March.
   18. Sheen S. Levine & Michael J. Prietula, 2014. "Open Collaboration for Innovation: Principles and Performance," Organization Science, INFORMS, vol. 25(5), pages 1414-1433, October.
   19. Yuqing Ren & Kathleen M. Carley & Linda Argote, 2006. "The Contingent Effects of Transactive Memory: When Is It More Beneficial to Know What Others Know?," Management Science, INFORMS, vol. 52(5), pages 671-682, May.
   20. David O'Sullivan & Mordechai Haklay, 2000. "Agent-Based Models and Individualism: Is the World Agent-Based?," Environment and Planning A, , vol. 32(8), pages 1409-1425, August.
   21. Colin E. Beech & Rachel A. Dowty & William A. Wallace, 2012. "The dynamics of organisational response: simulating cultural change," International Journal of Complexity in Leadership and Management, Inderscience Enterprises Ltd, vol. 2(1/2), pages 74-103.
   22. Rand, William & Rust, Roland T., 2011. "Agent-based modeling in marketing: Guidelines for rigor," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 181-193.
   23. Brian W. Kulik & Timothy Baker, 2008. "Putting the organization back into computational organization theory: a complex Perrowian model of organizational action," Computational and Mathematical Organization Theory, Springer, vol. 14(2), pages 84-119, June.
   24. Ladley, Daniel & Wilkinson, Ian & Young, Louise, 2015. "The impact of individual versus group rewards on work group performance and cooperation: A computational social science approach," Journal of Business Research, Elsevier, vol. 68(11), pages 2412-2425.
   25. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
   26. Stefano Balbi & Carlo Giupponi, 2009. "Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability," Working Papers 2009_15, Department of Economics, University of Venice "Ca' Foscari".
   27. Frank Beckenbach & Ramón Briegel, 2010. "Multi-agent modeling of economic innovation dynamics and its implications for analyzing emission impacts," International Economics and Economic Policy, Springer, vol. 7(2), pages 317-341, August.
   28. Riccardo Boero & Flaminio Squazzoni, 2005. "Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-6.
   29. Mark G. Orr & Christian Lebiere & Andrea Stocco & Peter Pirolli & Bianica Pires & William G. Kennedy, 2019. "Multi-scale resolution of neural, cognitive and social systems," Computational and Mathematical Organization Theory, Springer, vol. 25(1), pages 4-23, March.
   30. Sheen S. Levine & Robert Kurzban, 2006. "Explaining clustering in social networks: towards an evolutionary theory of cascading benefits," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(2-3), pages 173-187.

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