The Intertemporal Evolution Model of Enterprise R&D Cooperative Network

Cooperation plays an irreplaceable role in knowledge creation and innovation. Innovation cooperation among enterprises forms a complex network of enterprise R&D. Given the intertemporal R&D network evolution and the complex influence between stock knowledge, this study constructs a discrete...

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Main Authors: Rongguo Qiu, Yutong Wang, Tingqiang Chen
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2019/9241817
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author Rongguo Qiu
Yutong Wang
Tingqiang Chen
author_facet Rongguo Qiu
Yutong Wang
Tingqiang Chen
author_sort Rongguo Qiu
collection DOAJ
description Cooperation plays an irreplaceable role in knowledge creation and innovation. Innovation cooperation among enterprises forms a complex network of enterprise R&D. Given the intertemporal R&D network evolution and the complex influence between stock knowledge, this study constructs a discrete indefinitely intertemporal evolution model of an enterprise R&D cooperation network. The model consists of two main parts, that is, first is how technological innovation depends on the structure of enterprise R&D cooperation network and the second is how the enterprise R&D cooperation network evolves according to the level of technological innovation. This work uses calculation experiment and simulation method to study the evolution characteristics of enterprise R&D network in different initial R&D network topology structures, such as Erdos–Renyi random graph, WS small-world network, and BA scale-free network, and determine how previous history, attractiveness, and reputation for enterprise influence the steady-state characteristics of R&D network evolution. Results show that (1) when the R&D network evolution reaches a stable state, the joint distribution of stock knowledge and the number of cooperative enterprises do not affect the initial R&D network topology. However, the evolution path of the enterprise R&D network is complicated by the initial R&D network topology. (2) Among the three factors through which enterprises make decisions, if the enterprise values previous history highly, then the stock knowledge in a steady state will dissipate; if the enterprise values reputation highly, then the stock knowledge in a steady state will decrease but always above a threshold; if the enterprise values attractiveness highly, then the stock knowledge in a steady state can rise to a high level. These conclusions have important theoretical values and practical significance for the promotion of enterprise scientific and technological innovation and cooperative research.
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spelling doaj-art-2e70042827f5437b9aba9c10bcc278652025-02-03T01:10:25ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2019-01-01201910.1155/2019/92418179241817The Intertemporal Evolution Model of Enterprise R&D Cooperative NetworkRongguo Qiu0Yutong Wang1Tingqiang Chen2School of Public Administration, Yancheng Teachers University, Yancheng 224007, ChinaSchool of Economic and Management, Nanjing Tech University, Nanjing 211816, ChinaSchool of Economic and Management, Nanjing Tech University, Nanjing 211816, ChinaCooperation plays an irreplaceable role in knowledge creation and innovation. Innovation cooperation among enterprises forms a complex network of enterprise R&D. Given the intertemporal R&D network evolution and the complex influence between stock knowledge, this study constructs a discrete indefinitely intertemporal evolution model of an enterprise R&D cooperation network. The model consists of two main parts, that is, first is how technological innovation depends on the structure of enterprise R&D cooperation network and the second is how the enterprise R&D cooperation network evolves according to the level of technological innovation. This work uses calculation experiment and simulation method to study the evolution characteristics of enterprise R&D network in different initial R&D network topology structures, such as Erdos–Renyi random graph, WS small-world network, and BA scale-free network, and determine how previous history, attractiveness, and reputation for enterprise influence the steady-state characteristics of R&D network evolution. Results show that (1) when the R&D network evolution reaches a stable state, the joint distribution of stock knowledge and the number of cooperative enterprises do not affect the initial R&D network topology. However, the evolution path of the enterprise R&D network is complicated by the initial R&D network topology. (2) Among the three factors through which enterprises make decisions, if the enterprise values previous history highly, then the stock knowledge in a steady state will dissipate; if the enterprise values reputation highly, then the stock knowledge in a steady state will decrease but always above a threshold; if the enterprise values attractiveness highly, then the stock knowledge in a steady state can rise to a high level. These conclusions have important theoretical values and practical significance for the promotion of enterprise scientific and technological innovation and cooperative research.http://dx.doi.org/10.1155/2019/9241817
spellingShingle Rongguo Qiu
Yutong Wang
Tingqiang Chen
The Intertemporal Evolution Model of Enterprise R&D Cooperative Network
Discrete Dynamics in Nature and Society
title The Intertemporal Evolution Model of Enterprise R&D Cooperative Network
title_full The Intertemporal Evolution Model of Enterprise R&D Cooperative Network
title_fullStr The Intertemporal Evolution Model of Enterprise R&D Cooperative Network
title_full_unstemmed The Intertemporal Evolution Model of Enterprise R&D Cooperative Network
title_short The Intertemporal Evolution Model of Enterprise R&D Cooperative Network
title_sort intertemporal evolution model of enterprise r d cooperative network
url http://dx.doi.org/10.1155/2019/9241817
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