The best spatial scale of firm innovation networks: Evidence from Shanghai high‐tech firms

Cao, Xianzhong; Zeng, Gang; Teng, Tao; Si, Yuefang

doi:10.1111/grow.12252

Cited by 7 publications

(6 citation statements)

References 33 publications

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“…Our finding is consistent with recent studies that innovation activities are closely related to knowledge linkages and internal R&D intensity (OECD, 2002;Ringle, Sarstedt, & Straub, 2012;Cao, Zeng, Teng, & Si, 2018). Compared to high-tech firms, the effect of KMP among low-tech firms is found insignificant (Cheung, 2010).…”

Section: Contributionssupporting

confidence: 92%

The Impacts of Knowledge Management Practices on Innovation Activities in High- and Low-Tech Firms

Law

Lau

2021

Journal of Global Information Management

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This paper presents an empirical study on how knowledge management practices and innovation sources affect product innovation performance, among the 152 manufacturers in the low- and high- tech industries in China. The results indicate that external innovation sources are positively correlated with innovation activities and new product performance. Intellectual Property (IP) and knowledge management practices (KMP) are positively correlated with innovation activities, and KMP is positively correlated with innovation sources. The dual effect of KMP shows its indispensable effect on the new product development for both high-tech and low-tech firms, but for low-tech firms, such effect is relatively weak. This empirical study shows that IP management is critical to high-tech but not low-tech firms. We also found that, for innovation activities, low-tech depends on the external sources of innovation whilst high-tech firms do not.

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Section: Contributionssupporting

confidence: 92%

The Impacts of Knowledge Management Practices on Innovation Activities in High- and Low-Tech Firms

Law

Lau

2021

Journal of Global Information Management

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“…On the contrary, firms can engage in extra-regional or international collaborations, seeking for technologically matching partners to source knowledge (Cao, Zeng, Teng, & Si, 2018). This process is often referred to as building "global pipelines" for innovation collaborations (Bathelt, Malmberg, & Maskell, 2004).…”

Section: Spatial Proximitymentioning

confidence: 99%

Implications of China's innovation policy shift: Does “indigenous” mean closed?

Losacker

Liefner

2020

Growth and Change

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China's government aims to become an innovation nation and promotes the development of so‐called indigenous innovation. Under this paradigm of state‐encouraged innovation, however, it is unclear how domestic firms organize their innovation processes. We distinguish between two strategies in that respect: closed versus open innovation. Our findings suggest that firms with closed innovation processes collaborate in close geographic distance, rely on DUI‐modes of learning, and collaborations are based on guanxi. In contrast, firms with open innovation processes collaborate over large distances and rely on STI‐modes of learning that are not necessarily guanxi‐based. The findings help to understand the heterogeneous nature of indigenous innovation in China.

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“…Although multilevel innovation distribution and the multilevel mechanism has been of concern [9,10], the empirical studies of multilevel mechanism of innovation distribution and its cross-level effect are still limited. For this reason, we put forward three theoretical questions, "what are the multilevel geographical results caused by central government intervention?…”

Section: Introductionmentioning

confidence: 99%

Distribution Patterns and Multilevel Factors of the Innovation Activities of China’s New Energy Vehicle Industry

Zhang

Qian

Feng

2021

IJGI

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To better understand the multilevel mechanism of innovation and reveal the distribution and geographical formation of China’s NEV industry innovation, we collect patent data in China’s NEV industry from SIPO and use ArcGIS and HLM to map and analyze its geoinformation from 2009 to 2014. The results show that innovation activities are agglomerated at different scales, but the distribution of individual innovation and collaborative innovation are not similar, especially Pearl River Delta, which shows a great shortage of collaborative innovation. The multilevel effects are complicated. Institutional environment, resources, the regional institutional environment, and infrastructure have positive effects at the local level. Institutional environment is the only positive factor at the regional level. In general, regional factors enhance the positive effects of local factors. However, multilevel mechanism of collaborative innovation is different from the individual innovation, as it is less depended on policies stimulation and local knowledge institutions play a more important role in it. Furthermore, we put forward multilevel policies suggestions that central government should pay more attention on NEV products regulations, institutional environment should be improved at regional and local government should develop knowledge facilities in post-subsidy era. Our study highlights that locals that have advantages would benefit more from multilevel systems.

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The best spatial scale of firm innovation networks: Evidence from Shanghai high‐tech firms

Cited by 7 publications

References 33 publications

The Impacts of Knowledge Management Practices on Innovation Activities in High- and Low-Tech Firms

The Impacts of Knowledge Management Practices on Innovation Activities in High- and Low-Tech Firms

Implications of China's innovation policy shift: Does “indigenous” mean closed?

Distribution Patterns and Multilevel Factors of the Innovation Activities of China’s New Energy Vehicle Industry

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