How does alliance network embedding affect firm innovation? Evidence from the Chinese manufacturing industry
By:
References
- Ahuja, G., (2000). Collaboration networks, structural holes, and innovation: A longitudinal study. Administrative Science Quarterly, 45(3), 425–455.
- Alcácer, J., & Gittelman, M., (2006). Patent citations as a measure of knowledge flows: The influence of examiner citations. Review of Economics and Statistics, 88(4), 774-779.
- Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120.
- Bellamy, M. A., Ghosh, S., & Hora, M. (2014). The influence of supply network structure on firm innovation. Journal of Operations Management, 32(6), 357-373.
- Broekel, T., Brenner, T., & Buerger, M. (2015). An investigation of the relation between cooperation intensity and the innovative success of German regions. Spatial Economic Analysis, 10(1), 52-78.
- Burt, R. S. (1992). Structural holes: The social structure of competition. Harvard University Press.
- Cammarano, A., Michelino, F., & Lamberti, E. (2017). Accumulated stock of knowledge and current search practices: The impact on patent quality. Technological Forecasting and Social Change, 120, 204-222.
- Casanueva, C., Castro, I., & Galan, J. L. (2013). Informational networks and innovation in mature industrial clusters. Journal of Business Research, 66(5), 603-613.
- Chakravarty, A., Zhou, C., & Sharma, A. (2020). Effect of Alliance Network Asymmetry on Firm Performance and Risk. Journal of Marketing, 84(6), 74-94.
- Cheng, H., Xu, X. J., Li, Z. Z., & Zhang, Z. Y. (2022). The synergy of inventor cooperative network dual embeddedness and firm innovation: The mediating role of ambidextrous learning. Technology Analysis & Strategic Management, 36(1), 89-104.
- Chuluun, T., Prevost, A., & Upadhyay, A. (2017). Firm network structure and innovation. Journal of Corporate Finance, 44, 193-214.
- Coleman, J. (1988). Social capital in the creation of human capital. The American Journal of Sociology, 94, 95-120.
- Cong, H. B., Zou, D. L., & Wu, F. X. (2017). Influence mechanism of multi-network embeddedness to enterprises innovation performance based on knowledge management perspective. Cluster Computing-the Journal of Networks Software Tools and Applications, 20(1), 93-108.
- de Leeuw, T., Lokshin, B., & Duysters, G. (2014). Returns to alliance portfolio diversity: The relative effects of partner diversity on firm’s innovative performance and productivity. Journal of Business Research, 67(9), 1839-1849.
- Dong, J. Q., McCarthy, K. J., & Schoenmakers, W. (2017). How central is too central? Organizing interorganizational collaboration networks for breakthrough innovation. Journal of Product Innovation Management, 34(4), 526542.
- Freeman, L. C., (1979). Centrality in social networks: Conceptual clarification. Social Network, 1(3), 215-239.
- Gargiulo, M., & Benassi, M. (2000). Trapped in your own net? Network cohesion, structural holes, and the adaptations of social capital. Organization Science, 11(2), 183-196.
- Granovetter, M. (1985). Economic action and social structure: The problem of embeddedness. American Journal of Sociology, 91(3), 481-510.
- Grimaldi, M., & Cricelli, L. (2020). Indexes of patent value: A systematic literature review and classification. Knowledge Management Research & Practice, 18(2), 214-233.
- Guan, J. C., Zhang, J. J., & Yan, Y. (2015). The impact of multilevel networks on innovation. Research Policy, 44(3), 545-559.
- Han, S. J., Lyu, Y. B., Ji, R. N., Zhu, Y. Q., Su, J. Q., & Bao, L. N. (2020). Open innovation, network embeddedness and incremental innovation capability. Management Decision, 58(12), 2655-2680.
- Huang, H. S., Zhang, J. P., Yan, J., Gong, Y., & Wang, L. K. (2022). Supply chain network structure and firm’s R&D investments: Empirical evidence from Chinese manufacturing firms. European Journal of Innovation Management, 27(2), 551-571.
- Huggins, R., & Thompson, P. (2017). Entrepreneurial networks and open innovation: The role of strategic and embedded ties. Industry and Innovation, 24(4), 403-435.
- Jacob, J., & Duysters, G. (2017). Alliance network configurations and the co-evolution of firms’ technology profiles: An analysis of the biopharmaceutical industry. Technological Forecasting and Social Change, 120, 90-102.
- Jiang, H., Xia, J., Cannella, A. A., & Xiao, T. (2018). Do ongoing networks block out new friends? Reconciling the embeddedness constraint dilemma on new alliance partner addition. Strategic Management Journal, 39(1): 217-241.
- Jin, Y., & Shao, Y. F. (2022). Power-leveraging paradox and firm innovation: The influence of network power, knowledge integration and breakthrough innovation. Industrial Marketing Management, 102, 205-215.
- Kohtamaki, M., Heimonen, J., Sjodin, D., & Heikkila, V. (2020). Strategic agility in innovation: Unpacking the interaction between entrepreneurial orientation and absorptive capacity by using practice theory. Journal of Business Research, 118, 12-25.
- Lavie, D. (2006). The competitive advantage of interconnected firms: An extension of the resource-based view. Academy of Management Review, 31(3), 638-658.
- Li, Y., Wang, X., Chen, C., Jing, C., & Wu, T. (2020). Exploring firms’ innovation capabilities through learning systems. Neurocomputing, 409, 27-34. https://doi.Org/10.1016/j.neucom.2020.03.100
- Morandi, V. (2013). The management of industry-university joint research projects: How do partners coordinate and control R&D activities? Journal of Technology Transfer, 38(2), 69-92.
- Owen-Smith, J., & Powell, W. W. (2004). Knowledge networks as channels and conduits: The effects of spillovers in the Boston biotechnology community. Organization Science, 15(1), 5-21.
- Park, B. J., Srivastava, M. K., & Gnyawali, D. R. (2014). Walking the tight rope of coopetition: Impact of competition and cooperation intensities and balance on firm innovation performance. Industrial Marketing Management, 43(2), 210-221.
- Protogerou, A., Caloghirou, Y., & Siokas, E. (2013). Twenty-five years of science-industry collaboration: The emergence and evolution of policy-driven research networks across Europe. Journal of Technology Transfer, 38(6), 873-895.
- Reck, F., & Fliaster, A. (2024). Far-reaching or closely knit, innovative or complementary? Network configurations and firm-level innovation in the German energy sector. Strategic Organization, 22(4), 668-698.
- Reck, F., Fliaster, A., & Kolloch, M. (2022). How to build a network that facilitates firm-level innovation: An integration of structural and managerial perspectives. Journal of Management Studies, 59(4), 998-1031.
- Schilling, M.A., & Phelps, C.C. (2007). Interfirm collaboration networks: The impact of large-scale network structure on firm innovation. Management Science, 53(7), 1113-1126.
- Teece, D. J. (1986). Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy. Research Policy, 15(6), 285-305.
- Thomaz, F., & Swaminathan, V. (2015). What Goes Around Comes Around: The Impact of Marketing Alliances on Firm Risk and the Moderating Role of Network Density. Journal of Marketing 79(5), 63-79.
- Tian, M. Y., Su, Y. W., & Yang, Z. (2022). University-industry collaboration and firm innovation: An empirical study of the biopharmaceutical industry. Journal of Technology Transfer, 47(5), 1488-1505.
- Uzzi, B. (1997). Social structure and competition in interfirm networks: The paradox of embeddedness. Administrative Science Quarterly, 42(1), 35-67.
- Wang, M. C., Chen, P. C., & Fang, S. C. (2018). A critical view of knowledge networks and innovation performance: The mediation role of firms’ knowledge integration capability. Journal of Business Research, 88, 222-233.
- Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press.
- Xie, X. M., Fang, L. X., & Zeng, S. X. (2016). Collaborative innovation network and knowledge transfer performance: A fsQCA approach. Journal of Business Research, 69(11), 5210-5215.
- Yan, Y., Zhang, J. J., & Guan, J. C. (2020). Network embeddedness and innovation: Evidence from the alternative energy field. Ieee Transactions on Engineering Management, 67(3), 769-782.
- Yao, Y. H., Gao, H., & Sun, F. Q. (2020). The impact of dual network structure on firm performance: The moderating effect of innovation strategy. Technology Analysis & Strategic Management, 32(9), 1020-1034.
- Zhang, J. M., Jiang, H., Wu, R., & Li, J. Z. (2019). Reconciling the dilemma of knowledge sharing: A network pluralism framework of firms’ R&D alliance network and innovation performance. Journal of Management, 45(7), 2635-2665.
- Zhang, Y., Qian, Y., & Huang, Y. (2017). An entropy-based indicator system for measuring the potential of patents in technological innovation: Rejecting moderation. Scientometrics, 111(3), 1925-1946.
- Zhang, Z. W., & Zhou, W. H. (2024). How does network intermediary affect collaborative innovation? Evidence from Chinese listed companies. Journal of Data and Information Science, 9(4), 49-70.
- Zhao, J. Y., Wei, J., Xi, X., & Wang, S. S. (2020). Firms’ heterogeneity, relationship embeddedness, and innovation development in competitive alliances. Industrial Marketing Management, 91, 114-128.
- Zhou, W. H., & Li, H. L. (2023). A study on the multidimensional driving mechanism of cross-regional scientific collaboration network in China. Technology Analysis & Strategic Management, 36(11), 3667-3681.
- Zhou, W. H. & Li, H. L. (2024). R&D team network configurations, knowledge diversity and breakthrough innovation: A combined effect framework. European Journal of Innovation Management. Advance online publication. https://doi.org/10.1108/EJIM-11-2023-1004
Language: English
Page range: 80 - 105
Submitted on: Jun 22, 2024
Accepted on: Nov 28, 2024
Published on: May 6, 2025
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Related subjects:
© 2025 Zhiwei Zhang, Wenhao Zhou, Hailin Li, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.