1. ¹Durham Business School, Durham, UK
2. ²The UCLA Anderson School of Management, Los Angeles, CA, USA

Correspondence: Bill McKelvey, The UCLA Anderson School of Management, 110 Westwood Plaza, Los Angeles, CA 90095-1481, USA. Tel: +1 310 825 7796; Fax: +1 310 206-2002; E-mail: mckelvey@anderson.ucla.edu

Received 19 July 2006; Revised 4 April 2007; Accepted 2 August 2007; Published online 18 October 2007.

Abstract

Practicing managers live in a world of 'extremes', but international business and management research is based on Gaussian statistics that rule out such extremes. On occasion, positive feedback processes among interactive 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 use imposed tension and Per Bak's 'self-organized criticality' to argue that Pareto-based science and statistics (based on interdependence, positive feedback, scalability, (nearly) infinite variance, and emphasizing extremes) should parallel the traditional dominance of Gaussian statistics (based on independent data points, finite variance and emphasizing averages). We question quantitative journal publications depending on Gaussian statistics. The cost is inaccurate science and irrelevance to practitioners. In conclusion, no statistical findings should be accepted into business studies if they gain significance via some assumption device by which extreme events and (nearly) infinite variance are ignored. Accordingly, we suggest redirecting international business studies, and management research in general.