Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System

Yi, Su; Jiang, Xuesong; Lin, Zhouzhou

doi:10.1177/09717218211020476

Cited by 32 publications

(15 citation statements)

References 51 publications

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“…Both formal and informal interactions promote mutual learning and strengthen the ties between partners [46], facilitating latecomers to identify the linkages between shared periphery knowledge and core knowledge factors. In-depth interactions may weaken and break organizational boundaries, forming cross-organizational teams [47]; when the relationship between organizations reaches a certain strength, the knowledge flow between organizations becomes fast [48]. Core knowledge factors embedded in the cross-organizational teams will inevitably flow to the latecomers through the linkages with periphery knowledge.…”

Section: Phase Ii: Identification Of the Linkages Between Periphery K...mentioning

confidence: 99%

Knowledge Innovation Mechanism Based on Linkages between Core Knowledge and Periphery Knowledge: The Case of R&D Cooperation between Latecomers and Forerunners

Wei

2022

Complexity

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With rapid changes in technology, knowledge innovation has become more and more complex. Complex partners facilitate knowledge creation and innovation in complex problem-solving. Relying on R&D cooperation with forerunners, latecomers can acquire new knowledge factors and new ideas and use them to create new knowledge. This study demonstrated the knowledge innovation mechanism based on linkages between periphery knowledge and core knowledge with knowledge map theory and set methodology. A case of R&D cooperation between latecomers and forerunners was introduced to verify this mechanism. The results show that latecomers could share forerunners’ periphery knowledge in R&D cooperation through formal and informal interaction and acquire the core knowledge factors in periphery knowledge based on the linkages between them. With these core knowledge factors, latecomers integrate them into their internal knowledge system and create new knowledge. By analyzing the linkages between periphery and core knowledge factors, this study creatively demonstrates the knowledge innovation mechanism in knowledge linkage perspective. It deepens the understanding of R&D cooperation between latecomers and forerunners and expands the focus of knowledge innovation theory. This study provides a new insight into latecomers effectively activating internal and external knowledge resources through R&D cooperation.

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Section: Phase Ii: Identification Of the Linkages Between Periphery K...mentioning

confidence: 99%

Knowledge Innovation Mechanism Based on Linkages between Core Knowledge and Periphery Knowledge: The Case of R&D Cooperation between Latecomers and Forerunners

Wei

2022

Complexity

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“…Many scholars have evaluated the affecting factors of GI. From the perspective of enterprises, green R&D expenditure [31,32], top management [33][34][35][36][37], organizational culture and employee [37][38][39], corporate profitability [40], and knowledge sharing [41][42][43] are main factors which affect the GI. From the perspective of market, market demands [36,44], the demand of customers and the stakeholders [36,40,45], and market competition [32,36,46] are main factors affecting GI.…”

Section: The Affecting Factors Of Gimentioning

confidence: 99%

How to Restrain Regulatory Capture and Promote Green Innovation in China. An Analysis Based on Evolutionary Game Theory

Yuan

2021

Sustainability

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In response to severe environmental challenges, green innovation (GI) has been thoroughly considered by various governments. Although China has promulgated many environmental policies to promote environmental governance, regulatory capture and the lack of independent external supervisors lead to a challenging future. This study employs an evolutionary game method to explore how the policy burden and media affect decision-making between local governments and manufacturing enterprises. On this basis, the simulation method is used to examine critical factors that affect regulatory capture and GI. The results show that the policy burden is the main factor that causes regulatory capture. When the policy burden exceeds a certain threshold, it will cause regulatory capture and hinder GI. Moreover, media, as an external supervisor, can restrain regulatory capture and promote GI significantly. Specifically, when the capacity of media supervision is high enough, due to the positive role of the media, it will inhibit the negative effects of policy burdens. Finally, combined with the different development stages of China’s green industry, the corresponding policy recommendations are given. These results extend the research of regulatory capture and provide a reference for governments to promote environmental governance in practice.

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“…SME (small and medium-sized enterprises) showed a higher tendency to innovate. In addition, different network structures among innovation subjects have impact on the efficiency of knowledge transfer in the EIE [55,56]. All in all, scholars and business managers need to expand the innovation subject in the EIE to a broader range.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Increment of Heterogeneous Knowledge in Enterprise Innovation Ecosystem: An Agent‐Based Simulation Framework

Wang

Shi

2021

Complexity

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How can enterprises acquire knowledge resources quickly to maintain a competitive advantage in the market has become the focus of attention among academic circles and enterprises in the era of the knowledge economy. Based on the ecology theory, this paper analyzed the characteristics of the innovation subject and the rules of the heterogeneous knowledge interaction between innovation subjects. Then, this paper proposed a multiagent-based model of EIE (enterprise innovation ecosystem) heterogeneous knowledge increment to simulate the interactions between innovation subjects. By combining the biotic factors (government and service institutions) and abiotic factors (economical, social, and cultural), this paper designs eight different innovation environment scenarios to explore the dynamic impacts of these factors on EIE heterogeneous knowledge increment. The research findings were as follows: (1) In the introduction stage of innovation collaboration between innovation subjects, the same investment of the innovation elements in academic institutes is more beneficial to increasing system heterogeneous knowledge than investment in enterprises. (2) The cultivation of innovative biotic factors in service institutions is conducive to the rapid interaction of heterogeneous knowledge among the innovation subjects. Still, it is not suitable for areas with higher homogeneous knowledge because high homogeneous environment can easily lead to intensified market competition. (3) The cultivation of the abiotic innovation environment is conducive to maintain stable high-speed growth of EIE heterogeneous knowledge increment over a long period. (4) Without considering the cost of environmental cultivation, cultivating biotic and abiotic environments at the same time is the most beneficial choice to EIE heterogeneous knowledge increment.

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Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System

Cited by 32 publications

References 51 publications

Knowledge Innovation Mechanism Based on Linkages between Core Knowledge and Periphery Knowledge: The Case of R&D Cooperation between Latecomers and Forerunners

Knowledge Innovation Mechanism Based on Linkages between Core Knowledge and Periphery Knowledge: The Case of R&D Cooperation between Latecomers and Forerunners

How to Restrain Regulatory Capture and Promote Green Innovation in China. An Analysis Based on Evolutionary Game Theory

Increment of Heterogeneous Knowledge in Enterprise Innovation Ecosystem: An Agent‐Based Simulation Framework

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