Simulating the Evolution Mechanism of Inner Innovation in Large-Scale Construction Enterprise with an Improved NK Model

Tao Chen, Guangqiu Huang and Ayokunle Olubunmi Olanipekun
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Tao Chen: School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China
Guangqiu Huang: School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China
Ayokunle Olubunmi Olanipekun: Quantity Surveying Department, Federal University of Technology, Akure PMB 704, Nigeria

Sustainability, 2018, vol. 10, issue 11, 1-22

Abstract: The aim of this study is to simulate the self-organized evolution mechanism of inner innovation of large-scale construction enterprises (LSCE) under different contexts. Based on NK stochastic combinatorial optimization model with two parameters (N, K), this study proposes three modules—ambidexterity, punctuated equilibrium, and automation—to simulate the change behaviors of the inner innovation system. Furthermore, this study analyses the influence of factor correlation on inner innovation performance under discusses nine different combination situations. The research results show that (a) regardless of how the relationship strength changes, fitness increases with an increasing K value; and (b) the comparison of optimization modes show that the punctuated equilibrium mode can guarantee the long- and short-term inner innovation performance LSCE. This study therefore reveals the mutual effects of the factors in the inner innovation system in LSCE and provides an effective model for internal systems analyses in the construction industry and in other sectors.

Keywords: enterprise management; inner innovation optimization; simulation; NK model; construction enterprises (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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