The Relationship Between Collaborative Innovation Risk and Performance of Industrial Parks

Wang, Xiaofei; Sun, Yougang; Li, Guoqiang

doi:10.4018/jgim.298673

Cited by 3 publications

(1 citation statement)

References 30 publications

(13 reference statements)

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“…Zhang et al [21] used a three-party differential dynamic game model to find that government subsidies contribute to the spread of enterprise digitalization, and that the level of industrial digitalization reaches Pareto optimality under the tripartite collaboration of the government, technology companies, and traditional enterprises. Wang et al [22] took collaborative innovation risk as the starting point for their research. A method for analyzing the risk using DL was proposed, introducing synergetic effect and dynamic capability as intermediary variables and regulatory variables.…”

Section: Related Researchmentioning

confidence: 99%

Innovative Technology Method Based on Evolutionary Game Model of Enterprise Sustainable Development and CNN–GRU

Zhang

2023

Sustainability

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Realizing the sustainable innovation growth of enterprises is one of the important research directions of management science. Traditional enterprise growth innovation methods cannot effectively estimate the emotional tendency of online public opinion (PO), and they cannot guide the effective growth of enterprises. For this reason, This paper proposes an enterprise growth innovation technology based on the evolutionary game (EG) model of sustainable development and deep learning (DL). Firstly, by obtaining the game payment matrix between network users and enterprises, combined with the deep neural network model, the PO evolution model of the enterprise growth network was constructed and solved. Then, a convolutional neural network (CNN) model was used to extract sequence features from global information, and a gated recurrent unit (GRU) was used to consider the context. A DL network model based on CNN–GRU was proposed. Finally, by introducing the EG model, a stable strategy was generated through the dynamic adjustment of the whole system, which improved the accuracy of online PO judgment. Through simulation experiments, the enterprise growth innovation method proposed in this paper was compared with the other three methods. The results show that the accuracy, precision, recall, and f1 value of this method are 92.21%, 89.33%, 91.86%, and 91.64%, respectively, which are better than the other three methods. This method is of great significance for promoting enterprise innovation technology and sustainable development of enterprises.

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Section: Related Researchmentioning

confidence: 99%

Innovative Technology Method Based on Evolutionary Game Model of Enterprise Sustainable Development and CNN–GRU

Zhang

2023

Sustainability

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Exploring the influence of risk management on the performance of industry–university collaborative projects: the moderating role of knowledge management capabilities

Daradkeh

2023

JOEPP

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PurposeEffective management of risk and knowledge is critical to ensure the success of industry–university collaboration (IUC) projects. However, the intricate dynamics through which these factors influence the performance of IUC projects have yet to be fully investigated. The purpose of this study is to explore the interplay between risk management and knowledge management capabilities and their impact on IUC project performance.Design/methodology/approachA model was constructed and evaluated through the examination of a sample of 188 collaborative innovation projects located in the United Arab Emirates (UAE), utilizing structural equation models (SEM) and hierarchical regression analysis.FindingsThe findings indicate that social system risk, technical system risk and project management risk have a negative impact on the performance of university–industry collaboration (UIC) projects, while cultural, technical and structural knowledge management capabilities can mitigate the negative impact of these risks on the performance of IUC projects.Practical implicationsThe study concludes with three recommendations aimed at improving the management of UIC projects, including the establishment of a distinct and precise management strategy, the deployment of a comprehensive and systematized management methodology and the adoption of a balanced management framework.Originality/valueThe originality and value of this study lie in its exploration of the interplay between risk management and knowledge management capabilities in IUC projects. While previous studies have examined either risk management or knowledge management in IUC projects separately, this study provides a comprehensive analysis of both factors and their combined impact on project performance. The study also contributes to the literature by highlighting the specific risks and knowledge management capabilities that are most relevant to the context of IUC projects in the UAE. The practical recommendations offered by the study can help project managers and stakeholders to improve the success of collaborative innovation projects.

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How Railways Technological Innovation Cooperation? A Green Development Perspective in China

Guo

Wang

2023

Preprint

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The Relationship Between Collaborative Innovation Risk and Performance of Industrial Parks

Cited by 3 publications

References 30 publications

Innovative Technology Method Based on Evolutionary Game Model of Enterprise Sustainable Development and CNN–GRU

Innovative Technology Method Based on Evolutionary Game Model of Enterprise Sustainable Development and CNN–GRU

Exploring the influence of risk management on the performance of industry–university collaborative projects: the moderating role of knowledge management capabilities

How Railways Technological Innovation Cooperation? A Green Development Perspective in China

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