Dual-network embeddedness, absorptive capacity, and enterprise innovation performance: Evidence from the Chinese hi-tech manufacturing industry

被引：2

作者：

Sun Q. ^{[1
]}

Hou R. ^{[1
]}

Hailekiros G.S. ^{[1
]}

机构：

[1] School of Management, Wuhan University of Technology, Wuhan, Hubei

来源：

International Journal of Manufacturing Technology and Management | 2021年 / 35卷 / 01期

关键词：

Absorptive capacity; Enterprise innovation performance; Hi-tech manufacturing industry; Knowledge chain; Network embeddedness; Value chain;

D O I：

10.1504/IJMTM.2021.114701

中图分类号：

学科分类号：

摘要：

Embedded innovation represents a new innovation mode. However, the relationships among network embeddedness, absorptive capacity and enterprise innovation performance remain unclear. This paper develops a conceptual framework of value chain and knowledge chain embeddedness, absorptive capacity and enterprise innovation performance to reveal the mechanism of dual-network embeddedness in enterprise innovation performance from an absorptive capacity perspective. Structural equation modelling and survey data from the hi-tech manufacturing industry in China are used. The results reveal that: 1) both value chain embeddedness and knowledge chain embeddedness enhance enterprise innovation performance, but; 2) they promote enterprise innovation performance in different ways. Knowledge chain embeddedness promotes enterprise innovation performance through assimilation capacity, while value chain embeddedness promotes enterprise innovation performance through search and acquisition capacity. Suggestions are presented on how to enhance enterprise innovation performance from the network embeddedness and absorptive capacity perspectives. Copyright © 2021 Inderscience Enterprises Ltd.

引用

页码：69 / 88

页数：19

共 50 条

[1]

Autio E., Sapienza H.J., Almeida J.G., Effects of age at entry, knowledge intensity, and imitability on international growth, Academy of Management Journal, 43, 5, pp. 909-924, (2000)

[2]

Baptista R., Clusters, Innovation and Growth: A Survey of the Literature, (2007)

[3]

Baptista R., Swann P., Do firms in clusters innovate more?, Research Policy, 27, 5, pp. 525-540, (1998)

[4]

Barney J., Firm resources and sustained competitive advantage, Journal of Management, 17, 1, pp. 99-120, (1991)

[5]

Becker W., Dietz J., R&D cooperation and innovation activities of firms - evidence for the German manufacturing industry, Research Policy, 33, 2, pp. 209-223, (2004)

[6]

Bresnahan T., Gambardella A., Saxenian A., Old economy' inputs for 'new economy' outcomes: cluster formation in the new Silicon Valleys, Industrial and Corporate Change, 10, 4, pp. 835-860, (2001)

[7]

Camison C., Fores B., Knowledge absorptive capacity: new insights for its conceptualization and measurement, Journal of Business Research, 63, 10, pp. 707-715, (2010)

[8]

Capello R., Spatial transfer of knowledge in high technology milieux: learning versus collective learning processes, Regional Studies, 33, 4, pp. 353-365, (1999)

[9]

Chen X.G., Yu H., R&D team overseas embedded characteristics and knowledge search - empirical study based on Zhejiang high-tech enterprises, Studies in Science of Science, 28, 1, pp. 151-160, (2010)

[10]

Cohen W.M., Levinthal D.A., Innovation and learning: the two faces of R&D, The Economic Journal, 99, 397, pp. 569-596, (1989)

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