Although normal distributions and related current quantitative methods are still relevant for some organizational research, the growing ubiquity of power laws signifies that Pareto rank/frequency distributions, fractals, and underlying scale-free theories are increasingly pervasive and valid characterizations of organizational dynamics. When they apply, researchers ignoring power-law effects risk drawing false conclusions and promulgating useless advice to practitioners. This is because what is important to most managers are the extremes they face, not the averages. We show that power laws are pervasive in the organizational world and present 15 scale-free theories that apply to organizations. Next we discuss research implications embedded ...
Pareto’s Law refers to the theory that a small percentage of a total is responsible for a larg...
Abstract. I argue that power law research must move from focusing on observation, interpretation, an...
Power laws, also known as Pareto-like laws or Zipf-like laws, are commonly used to explain a variety...
The “norm of normality” is a myth that organization design scholars should believe only at their per...
Practicing managers live in a world of ‘extremes’ but management research is based on Gaussian stati...
Practicing managers live in a world of 'extremes', but international business and management researc...
The present research aims at verifying the possibility to model one or more aspects of a complex or...
Power law distributions, also known as heavy tail distributions, model distinct real life phenomena...
Power law behavior has been recognized to be a pervasive feature of many phenomena in natural and so...
power law income distribution firm hierarchy economic modelingWhat explains the power-law distributi...
Pareto’s Law refers to the theory that a small percentage of a total is responsible for a large prop...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138264/1/sign1050.pd
A long-held assumption in entrepreneurship research is that normal (i.e., Gaussian) distributions ch...
A long-held assumption in entrepreneurship research is that normal (i.e., Gaussian) distributions ch...
The article focuses on power laws and their growing popularity in science in general and in economi...
Pareto’s Law refers to the theory that a small percentage of a total is responsible for a larg...
Abstract. I argue that power law research must move from focusing on observation, interpretation, an...
Power laws, also known as Pareto-like laws or Zipf-like laws, are commonly used to explain a variety...
The “norm of normality” is a myth that organization design scholars should believe only at their per...
Practicing managers live in a world of ‘extremes’ but management research is based on Gaussian stati...
Practicing managers live in a world of 'extremes', but international business and management researc...
The present research aims at verifying the possibility to model one or more aspects of a complex or...
Power law distributions, also known as heavy tail distributions, model distinct real life phenomena...
Power law behavior has been recognized to be a pervasive feature of many phenomena in natural and so...
power law income distribution firm hierarchy economic modelingWhat explains the power-law distributi...
Pareto’s Law refers to the theory that a small percentage of a total is responsible for a large prop...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138264/1/sign1050.pd
A long-held assumption in entrepreneurship research is that normal (i.e., Gaussian) distributions ch...
A long-held assumption in entrepreneurship research is that normal (i.e., Gaussian) distributions ch...
The article focuses on power laws and their growing popularity in science in general and in economi...
Pareto’s Law refers to the theory that a small percentage of a total is responsible for a larg...
Abstract. I argue that power law research must move from focusing on observation, interpretation, an...
Power laws, also known as Pareto-like laws or Zipf-like laws, are commonly used to explain a variety...