Networked innovation and coalition formation: the effect of group-based social preferences

Dedeurwaerdere, Tom; Melindi‐Ghidi, Paolo; Sas, Willem

doi:10.1080/10438599.2017.1378163

Cited by 2 publications

(2 citation statements)

References 58 publications

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“…Firstly, scholars mainly focused on the group preferences [52], knowledge diffusion mechanism [53], internal independent mechanism [54], and other micro-level innovation network theories. Few pieces of literature discuss innovation network formation from a macro perspective.…”

Section: Theoretical Insightsmentioning

confidence: 99%

Research on the Governance Mechanism of Independent Innovation Network in the Core Area of Silk Road Economic Belt

et al. 2022

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The increasing competition in global scientific and technological innovation and the continuous promotion of the “Belt and Road initiatives” have created new opportunities for the improvement in innovation capabilities in the core area of the Silk Road Economic Belt but have also brought new challenges. This paper first starts from the market and government perspective and sorts out the formation mechanism of an innovation network. Subsequently, based on the development practice of the innovation network in the core area of the Silk Road Economic Belt, we applied the grounded theory to reveal the development constraints of the innovation network in the core area and explore the corresponding network governance mechanism. Subsequently, we applied a survey study to test our conceptual model. We empirically found the innovation network structure governance and innovation relation governance impacting mechanism in a market-led and government guidance context. The study found that: first, the market-led environment and government guidance jointly impact the formation of an innovation network. Second, the network structure governance and network relation governance of the innovation network can address the development constraints faced by the current innovation network to a certain extent, thereby improving the firm’s innovation performance. Finally, it is found that both the market-led environment and government guidance play a positive role in regulating the impact of network structure governance and network relation governance on the firm’s innovation performance. The above conclusions expand the application scenarios of innovation network governance theory in underdeveloped areas and, at the same time, provide new theoretical knowledge increments for the formation mechanism of innovation networks and also provide corresponding theoretical guidance for the improvement of the firm’s innovation performance in the core area.

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Section: Theoretical Insightsmentioning

confidence: 99%

Research on the Governance Mechanism of Independent Innovation Network in the Core Area of Silk Road Economic Belt

et al. 2022

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“…In the era of the knowledge economy, the key factor for enterprises to gain competitive advantage is their ability to apply knowledge [4], and the essence of enterprise innovation is the acquisition, utilization and integration of knowledge [5,6]. The knowledge possessed by the enterprise includes the knowledge acquired from a network generated by voluntarily cooperating innovators [7], as well as the knowledge created by the enterprise itself, and knowledge management capabilities can influence a firm's performance and industry-university-research cooperation [8][9][10]. From the perspective of a knowledge foundation, an enterprise is a collection of knowledge elements.…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Knowledge-Based Network Structure Hole on Enterprise Innovation Performance: The Threshold Effect of R&D Investment Intensity

Hao

Yuan

et al. 2020

Sustainability

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The purpose of innovation is to consume fewer natural resources in order to create sustainable performance; therefore, innovation can ease the pressure of the ecological load and promote the sustainable development of the economy. Taking the 269 enterprises listed on the main board of the electronic information industry from 2010 to 2019 as samples, using the threshold panel data model, the nonlinear relationship between the knowledge-based network structure hole and the short-term and long-term innovation performance of the enterprises were studied, and the threshold effect of R&D investment intensity was discussed. When the R&D investment intensity is from 1.96% to 15.96%, the knowledge-based network structure hole has a significant positive impact on short-term innovation performance. When the R&D investment intensity is from 5.72% to 10.64%, the knowledge-based network structure hole has a significant positive effect on long-term innovation performance. Lower R&D investment intensity can make the knowledge-based network structure hole promote the increase of short term innovation performance, but to make the knowledge-based network structure hole have a positive impact on long term innovation performance, the R&D investment intensity should be increased by more than 5.72%. When R&D investment intensity is not higher than 15.96%, the knowledge-based network structure hole has a significant positive impact on short term innovation performance, but to make the knowledge-based network structure hole maintain the positive effect on long term innovation performance, R&D investment intensity should not exceed 10.64%. Therefore, enterprises should be guided to optimize the knowledge-based network structure according to the R&D investment intensity in order to improve the short term and long-term innovation performance of an enterprise. These research results can help enterprises to save resources and promote the sustainable development of the economy.

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Networked innovation and coalition formation: the effect of group-based social preferences

Cited by 2 publications

References 58 publications

Research on the Governance Mechanism of Independent Innovation Network in the Core Area of Silk Road Economic Belt

Research on the Governance Mechanism of Independent Innovation Network in the Core Area of Silk Road Economic Belt

The Influence of the Knowledge-Based Network Structure Hole on Enterprise Innovation Performance: The Threshold Effect of R&D Investment Intensity

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