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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Wiley
2019-01-01
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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. |
format | Article |
id | doaj-art-2e70042827f5437b9aba9c10bcc27865 |
institution | Kabale University |
issn | 1026-0226 1607-887X |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
record_format | Article |
series | Discrete Dynamics in Nature and Society |
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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