Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/260893 
Year of Publication: 
2019
Citation: 
[Journal:] Journal of Innovation & Knowledge (JIK) [ISSN:] 2444-569X [Volume:] 4 [Issue:] 2 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2019 [Pages:] 88-96
Publisher: 
Elsevier, Amsterdam
Abstract: 
Purpose Using general systems theory, we present a series of simulations that shed light on the viability of business strategies in stable and turbulent business environments. Special attention is given to the impact of efficiency versus flexibility on firm performance, and on what the simulations reveal concerning successful strategies in each environment and firm type. Design/methodology/approach Large-scale Monte Carlo simulations based on Ashby's Requisite Variety principle. Findings Efficiency and flexibility do not, in general, determine performance. However, certain strategies appear to be superior, and in turbulent business environments, efficiency and flexibility appear well correlated with firm performance. Research limitations/implications Implications and limitations of the Law of Requisite Variety for strategic analysis are set forth. Limitations stem from the simplifications needed for quantitative analysis, and lack of explicit consideration of competitors' actions. Practical implications The simulations' realism offers insights to strategists regarding the roles of efficiency and flexibility in firm performance. The quantitative approach provides unambiguous definitions for some terms used in strategy, sharpening concepts put forth by Ashby and by Ansoff. Originality/value A back-to-basics, systems approach to the simulations, using the venerable and general requisite variety principle as its basis, ensures sound analysis and appeal to readers who may come to it from diverse traditions of strategy theory. The quantitative simulation tool is made available for other researchers to test and extend.
Subjects: 
Corporate slack
Efficiency
Nimble firm
Requisite variety
Simulation
Strategy
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article

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