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|a (JST)25614715
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|a DE-627
|b ger
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|e rakwb
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|a eng
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|a Andriani, Pierpaolo
|e verfasserin
|4 aut
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|a From Gaussian to Paretian Thinking: Causes and Implications of Power Laws in Organizations
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|c 2009
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|a Text
|b txt
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|a 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 in Pareto rank/frequency distributions and draw statistical and methodological implications.
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|a Copyright 2009 INFORMS
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|a Pareto
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|a power law
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|a Gaussian statistics
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|a organization
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|a average
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|a extreme events
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|a scale-free theory
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Power laws
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|a Mathematics
|x Mathematical objects
|x Fractals
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Statistical variance
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|a Applied sciences
|x Systems science
|x Systems theory
|x Chaos theory
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Distribution functions
|x Probability distributions
|x Gaussian distributions
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|a Applied sciences
|x Engineering
|x Systems engineering
|x Systems design
|x Scalability
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Outliers
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|a Linguistics
|x Language
|x Lexicology
|x Words
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|a Linguistics
|x Language
|x Orthographies
|x Allography
|x Handwriting
|x Signatures
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|a Applied sciences
|x Engineering
|x Electrical engineering
|x Signal processing
|x Signal noise
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Power laws
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|
4 |
|a Mathematics
|x Mathematical objects
|x Fractals
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650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Statistical variance
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650 |
|
4 |
|a Applied sciences
|x Systems science
|x Systems theory
|x Chaos theory
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650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Distribution functions
|x Probability distributions
|x Gaussian distributions
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650 |
|
4 |
|a Applied sciences
|x Engineering
|x Systems engineering
|x Systems design
|x Scalability
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650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Outliers
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650 |
|
4 |
|a Linguistics
|x Language
|x Lexicology
|x Words
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650 |
|
4 |
|a Linguistics
|x Language
|x Orthographies
|x Allography
|x Handwriting
|x Signatures
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4 |
|a Applied sciences
|x Engineering
|x Electrical engineering
|x Signal processing
|x Signal noise
|x Perspective
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|a research-article
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|a McKelvey, Bill
|e verfasserin
|4 aut
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|i Enthalten in
|t Organization Science
|d Institute for Operations Research and the Management Sciences
|g 20(2009), 6, Seite 1053-1071
|w (DE-627)320635775
|w (DE-600)2024496-4
|x 15265455
|7 nnns
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|g volume:20
|g year:2009
|g number:6
|g pages:1053-1071
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|u https://www.jstor.org/stable/25614715
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|d 20
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