The effects of external knowledge source heterogeneity on enterprise process and product innovation performance.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 09 03 2020
accepted: 29 05 2020
entrez: 13 6 2020
pubmed: 13 6 2020
medline: 28 8 2020
Statut: epublish

Résumé

As a global manufacturing centre, China is transitioning from a 'Made in China' to 'Create in China' perspective. An ever-increasing number of companies are developing new competitive advantages and improving their innovation levels by acquiring external knowledge. Yet, studies rarely discuss the influence of various sources of knowledge on process and product innovation performance in China's manufacturing enterprises. Based on the Pavitt industry classification, we use a bivariate Probit model to investigate the influence of external knowledge sources on innovation performance, and test it by using Enterprise Survey data for China, published by the World Bank in 2013. Our empirical analysis indicates that external sources of knowledge, with the exception of suppliers, have a significantly positive influence on process and product innovation performance. Specifically, in the process of technological innovation, peers have a positive effect on enterprise process improvement, especially in the science-based sector. In product innovation, close technical cooperation with users accelerates the commercial manifestation of products, especially in the specialized supplier sector.

Identifiants

pubmed: 32530928
doi: 10.1371/journal.pone.0234649
pii: PONE-D-20-06835
pmc: PMC7292382
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0234649

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Yuefang Si (Y)

The Center for Modern Chinese City Studies, East China Normal University, Shanghai, China.
School of Urban & Regional Science, East China Normal University, Shanghai, China.

Wanxin Liu (W)

The Center for Modern Chinese City Studies, East China Normal University, Shanghai, China.
School of Urban & Regional Science, East China Normal University, Shanghai, China.

Xianzhong Cao (X)

The Center for Modern Chinese City Studies, East China Normal University, Shanghai, China.

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Classifications MeSH