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Beyond Gaussian Averages: Redirecting Management Research Toward Extreme Events and Power Laws

Author

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  • Pierpaolo Andriani

    (Durham Business School)

  • Bill McKelvey

    (Anderson School of Management, UCLA)

Abstract

Practicing managers live in a world of ‘extremes’ but management research is based on Gaussian statistics that rule out those extremes. On occasion, deviation amplifying mutual causal processes among interdependent data points cause extreme events characterized by power laws. They seem ubiquitous; we list 80 kinds of them – half each among natural and social phenomena. We draw a ‘line in the sand’ between Gaussian (based on independent data points, finite variance and emphasizing averages) and Paretian statistics (based on interdependence, positive feedback, infinite variance, and emphasizing extremes). Quantitative journal publication depends almost entirely on Gaussian statistics. We draw on complexity and earthquake sciences to propose redirecting Management Studies. No statistical findings should be accepted into Management Studies if they gain significance via some assumption-device by which extreme events and infinite variance are ignored. The cost is inaccurate science and irrelevance to practitioners.

Suggested Citation

  • Pierpaolo Andriani & Bill McKelvey, 2006. "Beyond Gaussian Averages: Redirecting Management Research Toward Extreme Events and Power Laws," Working Papers 2006_03, Durham University Business School.
    • Handle: RePEc:dur:durham:2006_03
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    1. David Colander (ed.), 2000. "The Complexity Vision and the Teaching of Economics," Books, Edward Elgar Publishing, number 1955.
    2. John P. Haskell & Mark E. Ritchie & Han Olff, 2002. "Fractal geometry predicts varying body size scaling relationships for mammal and bird home ranges," Nature, Nature, vol. 418(6897), pages 527-530, August.
    3. Levy, Moshe & Solomon, Sorin, 1997. "New evidence for the power-law distribution of wealth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 242(1), pages 90-94.
    4. Axelrod, Robert & Bennett, D. Scott, 1993. "A Landscape Theory of Aggregation," British Journal of Political Science, Cambridge University Press, vol. 23(2), pages 211-233, April.
    5. Abraham Ravid, S., 2004. "Hollywood Economics: How extreme uncertainty shapes the film industry, Arthur De Vany; Routledge, London and New York, 2004, pages xvi + 308, ISBN 0-415-31260-4 (hbk), $135.00, 0-415-31261-2 (pbk), $3," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 895-898, December.
    6. Carley, Kathleen M., 1996. "A comparison of artificial and human organizations," Journal of Economic Behavior & Organization, Elsevier, vol. 31(2), pages 175-191, November.
    7. Bill McKelvey, 2004. "Toward a 0-super-th Law of Thermodynamics: Order-Creation Complexity Dynamics from Physics and Biology to Bioeconomics," Journal of Bioeconomics, Springer, vol. 6(1), pages 65-96.
    8. Cederman, Lars-Erik, 2003. "Modeling the Size of Wars: From Billiard Balls to Sandpiles," American Political Science Review, Cambridge University Press, vol. 97(1), pages 135-150, February.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Forni, Mario & Lippi, Marco, 1997. "Aggregation and the Microfoundations of Dynamic Macroeconomics," OUP Catalogue, Oxford University Press, number 9780198288008, Decembrie.
    11. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    12. S. Battiston & M. Catanzaro, 2004. "Statistical properties of corporate board and director networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 345-352, March.
    13. Poole, Marshall Scott & Van de Ven, Andrew H. & Dooley, Kevin & Holmes, Michael E., 2000. "Organizational Change and Innovation Processes: Theory and Methods for Research," OUP Catalogue, Oxford University Press, number 9780195131987, Decembrie.
    14. Nonaka, Ikujiro & Nishiguchi, Toshihiro, 2001. "Knowledge Emergence: Social, Technical and Evolutionary Dimensions of Knowledge Creation," OUP Catalogue, Oxford University Press, number 9780195130638, Decembrie.
    15. Zanette, Damián H & Manrubia, Susanna C, 2001. "Vertical transmission of culture and the distribution of family names," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(1), pages 1-8.
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    Cited by:

    1. Yang, Jianmei & Wang, Wenjie & Chen, Guanrong, 2009. "A two-level complex network model and its application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2435-2449.

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