Innovation Search Scope, Technological Complexity, and Environmental Turbulence: A N-K Simulation

Fei Li, Jin Chen and Ying Ying
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Fei Li: College of Public Administration, Zhejiang University, Hangzhou 310058, China
Jin Chen: School of Economics and Management, Tsinghua University, Beijing 100084, China
Ying Ying: School of Business Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China

Sustainability, 2019, vol. 11, issue 16, 1-12

Abstract: This paper discusses the effects of different innovation search scopes on the performance of the N-K fitness landscape model with a focus on its contextual factors of technology complexity and environmental turbulence. Results show that the medium-level search scope has a significantly better outcome than the low-level search scope, especially when the technological complexity is high, while the high-level search scope would not provide a statistically significant advantage. After introducing the turbulent range and rapidity into the N-K model, we extend the model into a dynamic one to simulate better the real turbulent business world. The results of the simulation in dynamic landscapes show that the higher degree of environmental turbulence causes a higher search scope to become more valuable.

Keywords: N-K simulation; innovation search scope; complexity; environmental turbulence (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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