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Frontiers in Educational Research, 2019, 2(4); doi: 10.25236/FER.034012.

Research on Impact of Boundry-Spanning Search on Manufactures’ New Product Innovation Performance Improvement

Author(s)

Yuzhou Huang, Xudong Pei

Corresponding Author:
Yuzhou Huang
Affiliation(s)

The research center of economics and management of oil-gas resources, Xi'an Shiyou University, Xi'an 710065, China 

Abstract

This paper examines the relationship between boundry-spanning search and manufactures’ new product innovation performance, putting forward a conceptual model which include boundry-spanning search, technological learning, knowledge integration mechanism, new product innovation performance, and then the hypotheses have been empirically tested by using 260 survey data from China's manufacturing enterprises.Results indicate that boundry-spanning search has not directly influence on new product innovation performance improvement, technological learning and knowledge integration mechanism plays an fully mediating role between boundry-spanning search and new product innovation performance.

Keywords

Boundry-Spanning Search; technological learning; knowledge integration mechanism; new product innovation performance

Cite This Paper

Yuzhou Huang, Xudong Pei. Research on Impact of Boundry-Spanning Search on Manufactures’ New Product Innovation Performance Improvement. Frontiers in Educational Research (2019) Vol. 2 Issue 4: 11-19. https://doi.org/10.25236/FER.034012.

References

[1] Inemek A., Matthyssens P( 2013). The impact of buyer–supplier relationships on supplier innovativeness: An empirical study in cross-border supply networks. Industrial Marketing Management, vol.42, no.4, pp. 580-594.
[2] Sofka W., Grimpe C(2010). Specialized search and innovation performance– evidence across Europe. R&D Management, vol.40, no.3, pp.310-323.
[3] Bertrand O, Capron L(2015). Productivity Enhancement at Home via Cross-border Acquisitions: The Roles of Learning and Contem-poraneous Domestic Investments.Strategic Management Journal, vol.36, no.5, pp. 640-658.
[4] Vrontis D, Thrassou A, Santoro G, et al(2017). Ambidexterity, external knowledge and performance in knowledge-intensive firms. Journal of Technology Transfer,vol.42, no.2, pp.1-15.
[5] Rosenzweig S., Mazursky D(2014). Constraints of Internally and Externally Derived Knowledge and the Innovativeness of Technological Output: The Case of the United States. Journal of Product Innovation Management, vol.31, no.2, pp. 231-246.
[6] Vagnani G(2015). Exploration and Long-run Organizational Performance: The Moderating Role of Technological Interdependence. Journal of Management, vol.41, no.6, pp.1651 -1676.
[7] Shen Hao, Li Yuan(2010). A research on the effect of alliance relationship and environmental dynamics on innovation performan.Science Research Management,  vol. 31, no.1, pp.77-85.
[8] Gilsing V., Nooteboom B., Vanhaverbeke W., et al(2008). Network embeddedness and the exploration of novel technologies: technological distance, betweenness centrality and density. Research Policy, vol. 37, no.10,pp. 1717-1731.
[9] Tsai K.-H., Hsu T.T(2014). Cross-Functional collaboration, competitive intensity, knowledge integration mechanisms, and new product performance: A mediated moderation model. Industrial Marketing Management, vol.43, no.2, pp. 293-303.
[10]Baron R.M., Kenny D.A(1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, vol. 51, no.6, pp.1173-1182.