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Author:

Liu, Tingli (Liu, Tingli.) (Scholars:刘亭立) | Wang, Qianying (Wang, Qianying.) | Yang, Songling (Yang, Songling.) | Shi, Qianqian (Shi, Qianqian.)

Indexed by:

SSCI Scopus

Abstract:

We adopt a multilayer networks approach to assess how network structural embeddedness affects corporate technological innovation. Our findings indicate an annual increase in both single-layer and multilayer networks, although adoption of the latter by Chinese listed companies is comparatively low. We found that structural embeddedness of multilayer networks positively impacts corporate technological innovation. By reducing uncertainty within the internal environment, these networks bolster technological innovation. Moreover, such embeddedness notably spurs innovation in non-state-owned companies and those with greater internal transparency and robust external oversight. Our analysis reveals an intermediate effect where structural embeddedness in multilayer networks influences innovation. Our work provides new insights into enhancing innovation capacity via network embeddedness and supplies empirical data on utilizing network resources for innovation. We also offer actionable guidance and policy advice for managers, investors, and policymakers, especially relevant amidst economic transformation and pursuit of technological self-reliance of China.

Keyword:

technological innovation shareholder network embeddedness director network multilayer networks

Author Community:

  • [ 1 ] [Liu, Tingli]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Qianying]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Yang, Songling]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 4 ] [Shi, Qianqian]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Wang, Qianying]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China

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Source :

SYSTEMS

Year: 2024

Issue: 2

Volume: 12

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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