How collaborative innovation networks affect new product performance: Product innovation capability, process innovation capability, and absorptive capacity

Najafi-Tavani, Saeed; Najafi-Tavani, Zhaleh; Naudé, Peter; Oghazi, Pejvak; Zeynaloo, Elham

doi:10.1016/j.indmarman.2018.02.009

Cited by 385 publications

(346 citation statements)

References 112 publications

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“…Enterprises need to possess a certain absorptive capacity in order to internalize external knowledge into the resources needed for innovation activities. Hence, the absorptive capacity of enterprises can significantly affect their innovation performance [29,[48][49][50][51][52][53][54]. Chaudhary and Batra [55] put forward that absorptive capacity helps the firms form proper knowledge strategies to enhance innovation performance.…”

Section: Absorptive Capacity and Innovation Performancementioning

confidence: 99%

How Can a Firm Innovate When Embedded in a Cluster?—Evidence from the Automobile Industrial Cluster in China

Han

2019

Sustainability

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In the era of the knowledge economy, knowledge management is increasingly important. Knowledge management ability is one of the core factors influencing enterprise competitiveness, affecting innovation performance and sustainable development. To test the impact mechanism of the knowledge management of enterprises on innovation performance, a multilevel structural equation model was established using data from the automobile industry in China, with “knowledge management” (KM) as the independent variable, the three dimensions of absorptive capacity as the mediating variables, and “innovation performance” (IP) as the dependent variable at the firm level. At the cluster level, the innovation milieu of the cluster was introduced into the model. The results show that the three dimensions of absorptive capacity all significantly mediate the relationship between knowledge management and innovation performance. The innovation milieu of the cluster had a direct cross-level effect on the innovation performance of enterprises and a positive cross-level moderated effect on the relationship between explorative learning and innovation performance. These results support the promotion of enterprise innovation ability and the creation of an innovation milieu in the automobile industry in China.

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Section: Absorptive Capacity and Innovation Performancementioning

confidence: 99%

How Can a Firm Innovate When Embedded in a Cluster?—Evidence from the Automobile Industrial Cluster in China

Han

2019

Sustainability

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“…Research of innovation systems also has shown that corporative innovation processes are strongly interrelated with innovation activities in other organizations and firms [12]. This research [16] suggests that the collaboration level with different partners enhances innovation capabilities when the firm's managers have strong capacity of scanning and acquiring of external knowledge. Analysis, given in [5], shows that different types of innovations were positively affected by cooperation.…”

Section: Introductionmentioning

confidence: 75%

Innovation networks effects simulation models

Prokopenko¹,

Omelyanenko²,

Ponomarenko³

et al. 2019

PEN

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In current conditions it becomes necessary to develop guidelines for development of the national innovation systems and assessing their role in sustainable national socioeconomic development. In the conditions innovation development strategies should be focused on ensuring the competitiveness of economic entities, which can be done through innovation networks. The study enhances academic understanding of the factors of innovation transformation based on innovation networks, designed to ensure the involvement of large number of agents to contribute to the implementation of structural changes. In this paper authors analyze the main indicators of innovation networks impact and investigate the main aspects of innovation networks effects simulation. The hypothesis of the study deals with the assumption that the innovation development of the economic system at the present stage, in addition to stimulating the innovative activity of existing entities, deals with the formation of network structures. This research addresses the indicators for networks modeling by developing and testing a series of points indicating how networks affect economic growth. The foregoing discussion has attempted to innovation networks innovation potential assessing methodology based on indicators of the quantitative composition and dynamics of innovation potential to substantiate the viability of this organizational form in developing sectoral policies and technological priorities has been developed. The developed economic and mathematical model of innovation management network leads us to the conclusion that allows predict changes and form a targeted impact on factors when creating new intersectoral structures in order to increase the volume of innovation products.

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“…regarded innovation capabilities of product and process as two mechanisms and studied how the two mechanisms affect the performance of new products through collaborative innovation networks [17]. Xie et al studied the relationship between collaborative network and knowledge transfer performance [18].…”

Section: Complexitymentioning

confidence: 99%

“…If condition (18) is met, then it could be inferred that the trivial solution of equations (15)- (17) are moment exponentially stable. at is to say, all the players will take cooperation strategy (governments provide high subsidy, enterprises and research institutions take the strategy of substantial innovation) in the long term even though suffering from disturbance.…”

Section: Existence and Stability Of Trivial Solution For Equations (5)-mentioning

confidence: 99%

Substantive Innovation or Strategic Innovation? Research on Multiplayer Stochastic Evolutionary Game Model and Simulation

Ren

Zhang

et al. 2020

Complexity

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Innovation subsidy is of great significance to promoting enterprise innovation development. However, in recent years, the frequent occurrence of R&D subsidy deception in China has greatly reduced effectiveness of innovation. From the perspective of the strategic choice motivation of the innovation subject (including the enterprises, research institutions, and local governments), this paper constructs a multiplayer stochastic evolutionary game model. The influence of each variable on the subject strategy adoption is analyzed by simulation. There are two important findings in this paper. First, the paper confirms that there is an optimal boundary for the high subsidies received by enterprises and academic institutions, and the “subsidy boundary” is solved through the model. Second, this paper analyzes the effectiveness of the regulation of each variable through simulation and provides management and policy implications.

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How collaborative innovation networks affect new product performance: Product innovation capability, process innovation capability, and absorptive capacity

Cited by 385 publications

References 112 publications

How Can a Firm Innovate When Embedded in a Cluster?—Evidence from the Automobile Industrial Cluster in China

How Can a Firm Innovate When Embedded in a Cluster?—Evidence from the Automobile Industrial Cluster in China

Innovation networks effects simulation models

Substantive Innovation or Strategic Innovation? Research on Multiplayer Stochastic Evolutionary Game Model and Simulation

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