The distinct signaling effects of R&amp;D subsidy and non-R&amp;D subsidy on IPO performance of IT entrepreneurial firms in China

Chen, Jin; Heng, Cheng Suang; Tan, Bernard C. Y.; Lin, Zhijie

doi:10.1016/j.respol.2017.10.004

Cited by 144 publications

(104 citation statements)

References 75 publications

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“…Third, although the impacts of non‐R&D innovation, R&D intensity, and network embeddedness on firms’ product performance has been studied (e.g. Chen et al, ), there has been little research investigating the relationship between non‐R&D innovation and new product performance through the combination of R&D intensity and network embeddedness. We addressed this research gap by empirically examining the joint effects of R&D intensity and network embeddedness on promoting efficient non‐R&D activities, which positively impact new product performance, thus allowing for greater insights into innovation management.…”

Section: Discussionmentioning

confidence: 99%

“…Non‐R&D innovation is defined as routine innovation activities that occur outside of R&D (Lee and Walsh, ). Non‐R&D innovation can generally be divided into two broad categories: technological non‐R&D innovation, and non‐technological non‐R&D innovation (Hervas‐Oliver et al, ; Lopez‐Rodriguez and Martinez‐Lopez, ; Chen et al, ). Technological non‐R&D innovation is mainly based on incremental problem‐solving and experimentation (Hervas‐Oliver et al, ), involving minor modifications to products, processes, or technologies; imitation or reverse engineering; or technology adoption (Arundel et al, ; Guo et al, ).…”

Section: Theories and Hypothesesmentioning

confidence: 99%

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Non‐R&D innovation and firms’ new product performance: the joint moderating effect of R&D intensity and network embeddedness

Xie¹,

Wang²,

Jiao

2019

R & D Management

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Non-R&D innovation increasingly plays a critical role in explaining firms' new product performance. Yet, there has been little research on the consequences and contingent mechanisms of non-R&D innovation for firms embedded in collaborative network environments. To address this research gap, we investigated a conceptual framework of non-R&D innovation using data drawn from Chinese manufacturing firms. First, we found that non-R&D innovation positively affects firms' new product performance. Second, we discovered that high R&D intensity positively strengthens the impact of firms' non-R&D innovation on new product performance. Third, we provided critical analysis of the role of non-R&D innovation in promoting new product performance, accomplished by enhancing R&D investment while simultaneously improving the degree of network embeddedness. Our findings extend both the non-R&D innovation literature and open innovation literature while providing managers with several key recommendations.

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Section: Discussionmentioning

confidence: 99%

Section: Theories and Hypothesesmentioning

confidence: 99%

Non‐R&D innovation and firms’ new product performance: the joint moderating effect of R&D intensity and network embeddedness

Xie¹,

Wang²,

Jiao

2019

R & D Management

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“…However, the costs and risks associated with R&D make companies reluctant to invest their own funds in these projects (Chen et al 2018; Bustinza et al 2019). Despite public funding and cost and risk sharing between companies and universities, the entrepreneurs interviewed feel that time remains a problem to be resolved.…”

Section: Discussionmentioning

confidence: 99%

One for All and All for One: Collaboration and Cooperation in Triple Helix Knowledge Cocreation

Mascarenhas

Marques

Ferreira

2019

International Regional Science Review

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If innovation is the engine of economies, the partnerships in the Triple Helix model of innovation are the fuel that makes this engine work. Although each member of this model has its defined role, the present study sought to gain a new perspective on these partnerships, including the role of governments. Based on interviews with representatives of universities, companies, and governments in two countries (i.e., Portugal and Spain), this research focused on how innovation partnerships are formed as well as what obstacles to cooperation can arise. The results show that governments can play the role not only of a financier and legislator but also of a direct participant in innovation by entering into partnerships with the other Triple Helix actors. In addition, this study revealed that, irrespective of which partners and needs are in question, these networks operate mostly with public funds.

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“…ey held that consumer subsidies can promote popularization and technological breakthrough of electric vehicles more greatly than manufacturer subsidies. Chen et al studied the relationship between R&D subsidies and IPO performance and discussed the influence of state ownership and patent intensity on the relationship between them [32]. Dai and Shen argued that there was a complementary relationship between optimal IPR protection and government subsidies [33].…”

Section: Innovation Subsidymentioning

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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The distinct signaling effects of R&D subsidy and non-R&D subsidy on IPO performance of IT entrepreneurial firms in China

Cited by 144 publications

References 75 publications

Non‐R&D innovation and firms’ new product performance: the joint moderating effect of R&D intensity and network embeddedness

Non‐R&D innovation and firms’ new product performance: the joint moderating effect of R&D intensity and network embeddedness

One for All and All for One: Collaboration and Cooperation in Triple Helix Knowledge Cocreation

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

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