1989
DOI: 10.1108/eb054274
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Discovering the patterns of chaos

Abstract: Chaos theory—the science that discovers order in nature's seeming randomness—may have utility as a corporate analysis technique. While it's too soon to predict whether chaos theory mathematics will become a new tool for decision makers, these researchers have made some provocative discoveries by analyzing 20 years of data for 19 publicly traded companies.

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Cited by 14 publications
(2 citation statements)
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“…Lemoine 2014b) may make decision contexts seem chaotic and bleak, there are patterns that may be found (Amigó, Kocarev, & Szczepanski 2006;Chatrath, Adrangi, & Dhanda 2002;Davis, Eisenhardt, & Bingham 2009;Priesmeyer & Baik 1989). We suggest building awareness of each of the major decision points, the errors that occur at each and how these may interact.…”
Section: While Volatility Uncertainty Complexity and Ambiguity (Bementioning
confidence: 86%
“…Lemoine 2014b) may make decision contexts seem chaotic and bleak, there are patterns that may be found (Amigó, Kocarev, & Szczepanski 2006;Chatrath, Adrangi, & Dhanda 2002;Davis, Eisenhardt, & Bingham 2009;Priesmeyer & Baik 1989). We suggest building awareness of each of the major decision points, the errors that occur at each and how these may interact.…”
Section: While Volatility Uncertainty Complexity and Ambiguity (Bementioning
confidence: 86%
“…They indicated "Company data tend to adhere to an attractor as they collect their quarterly sales and drive their quarterly profits. One can almost hear the organizational heartbeat pounding out 'Quarter 1, Quarter 2, Quarter 3, Quarter 4'" [5]. Furthermore, Ito and Sakamoto shed light on the nature of the relationship between economic development and the velocity history of the typical companies in Japan [6].…”
Section: Measurement and Data Collectionmentioning
confidence: 99%