Knowledge networks and ambidextrous learning: What is the impact on innovation performance?

Main Article Content

Xiaoli Li
https://orcid.org/0000-0002-4220-1746
Kun Li

Abstract

Knowledge networks have become a critical factor in the development of innovation. However, most studies focus on the innovation benefits derived from network embedding, and there are fewer studies on firms’ knowledge networks from the perspective of feature attributes. This study analyzes the direct and interactive effects of knowledge diversity and the combination of knowledge potential on innovation performance. The research also explores how the complementarity of ambidextrous learning affects the relationship between knowledge networks and innovation performance. The empirical analysis is based on panel data from 116 firms in China’s automotive manufacturing industry from 2010-2018. The results processed by the fixed effects negative binomial regression model indicate that the combinatorial potential of knowledge has an inverted U-shaped relationship with firm innovation performance, and knowledge diversity has a positive effect on firm innovation performance. There is an interactive effect between knowledge combination potential and knowledge diversity, and their mutual coordination improves firm innovation performance. The complementarity of ambidextrous learning significantly and positively moderates the positive relationship between the combination potential of knowledge and firm innovation performance.

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How to Cite
LI, X.; LI, K. Knowledge networks and ambidextrous learning: What is the impact on innovation performance?. RAE - Revista de Administracao de Empresas , [S. l.], v. 63, n. 6, p. e2022–0105, 2023. DOI: 10.1590/S0034-759020230602. Disponível em: https://periodicos.fgv.br/rae/article/view/89860. Acesso em: 14 jun. 2024.
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References

Ahuja, G., & Katila, R. (2001). Technological acquisitions and the innovation performance of acquiring firms: A longitudinal study. Strategic Management Journal, 22(3), 197-220. http://dx.doi.org/10.1002/smj.157

Brennecke, J., & Rank, O. (2017). The firm’s knowledge network and the transfer of advice among corporate inventors: A multilevel network study. Research Policy, 46(4), 768-783. http://dx.doi.org/10.1016/j.respol.2017.02.002

Cao, Q., Gedajlovic, E., & Zhang, H. (2009). Unpacking organizational ambidexterity: Dimensions, contingencies, and synergistic effects. Organization Science, 20(4), 781-796. http://dx.doi.org/10.1287/orsc.1090.0426

Carnabuci, G., & Bruggeman, J. (2009). Knowledge specialization, knowledge brokerage and the uneven growth of technology domains. Social Forces, 88(2), 607-641. http://dx.doi.org/10.1353/sof.0.0257

Carnabuci, G., & Operti, E. (2013). Where do firms’ recombinant capabilities come from? Intraorganizational networks, knowledge, and firms’ ability to innovate through technological recombination. Strategic Management Journal, 34(13), 1591-1613. http://dx.doi.org/10.1002/smj.2084

Cheng, H., Xu, X., Li, Z., & Zhang, Z. (2022). The synergy of inventor cooperative network dual embeddedness and firm innovation: The mediating role of ambidextrous learning. Technology Analysis & Strategic Management, 1-16. http://dx.doi.org/10.1080/09537325.2021.2021175

Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 128-152. http://dx.doi.org/10.2307/2393553

Colombo, M. G., Doganova, L., Piva, E., D’Adda, D., & Mustar, P. (2015). Hybrid alliances and radical innovation: The performance implications of integrating exploration and exploitation. The Journal of Technology Transfer, 40(4), 696-722. http://dx.doi.org/10.1007/s10961-014-9363-x

Dai, H., Zeng, D., Qualls, W. J., & Li, J. (2018). Do social ties matter for the emergence of dominant design? The moderating roles of technological turbulence and IRP enforcement. Journal of Engineering and Technology Management, 47, 96-109. http://dx.doi.org/10.1016/j.jengtecman.2018.01.002

Dong, J. Q., & Yang, C. H. (2016). Being central is a double-edged sword: Knowledge network centrality and new product development in US pharmaceutical industry. Technological Forecasting and Social Change, 113(1), 379-385. http://dx.doi.org/10.1016/j.techfore.2016.07.011

Enkel, E., Heil, S., Hengstler, M., & Wirth, H. (2017). Exploratory and exploitative innovation: To what extent do the dimensions of individual level absorptive capacity contribute? Technovation, 60, 29-38. http://dx.doi.org/10.1016/j.technovation.2016.08.002

Ensign, P. C., Lin, C. D., Chreim, S., & Persaud, A. (2014). Proximity, knowledge transfer, and innovation in technology-based mergers and acquisitions. International Journal of Technology Management, 66(1), 1-31. http://dx.doi.org/10.1109/HICSS.2013.457

Fang, S. C., Wang, M. C., & Chen, P. C. (2017). The influence of knowledge networks on a firm’s innovative performance. Journal of Management & Organization, 23(1), 22-45. http://dx.doi.org/10.1017/jmo.2016.32

Fleming, L. (2001). Recombinant uncertainty in technological search. Management Science, 47(1), 117-132. http://dx.doi.org/10.1287/mnsc.47.1.117.10671

Fleming, L., Mingo, S., & Chen, D. (2007). Collaborative brokerage, generative creativity, and creative success. Administrative Science Quarterly, 52(3), 443-475. http://dx.doi.org/10.2189/asqu.52.3.443

Granstrand, O. (1998). Towards a theory of the technology-based firm. Research Policy, 27(5), 465-489. http://dx.doi.org/10.1016/S0048-7333(98)00067-5

Guan, J., Zhang, J., & Yan, Y. (2017). A dynamic perspective on diversities and network change: Partner entry, exit and persistence. International Journal of Technology Management, 74(1-4), 221-242. http://dx.doi.org/10.1504/IJTM.2017.083613

Gupta, A. K., Smith, K. G., & Shalley, C. E. (2006). The interplay between exploration and exploitation. Academy of Management Journal, 49(4), 693-706. http://dx.doi.org/10.5465/amj.2006.22083026

Hu, Q., Li, X., & Tang, W. (2019). Research on the influence mechanism of cognitive distance and social distance between supply chain enterprises on cooperative innovation performance. Economic Survey, 36(3), 110-117. http://dx.doi.org/10.15931/j.cnki.1006-1096.20190416.008

Jiao, J., Xu, Y., Li, J., & Yang, R. (2021). The evolution of a collaboration network and its impact on innovation performance under the background of government-funded support: An empirical study in the Chinese wind power sector. Environmental Science and Pollution Research, 28(1), 915-935. http://dx.doi.org/10.1007/s11356-020-10528-2

Jin, X., Wang, J., Chen, S., & Wang, T. (2015). A study of the relationship between the knowledge base and the innovation performance under the organizational slack regulating. Management Decision, 53(10), 2202-2225. http://dx.doi.org/10.1108/MD-05-2014-0253

Jung, S., Kim, K., & Lee, C. (2021). The nature of ICT in technology convergence: A knowledge-based network analysis. Plos One, 16(7), e0254424. http://dx.doi.org/10.1371/journal.pone.0254424

Kash, D. E., & Rycoft, R. W. (2000). Patterns of innovating complex technologies: A framework for adaptive network strategies. Research Policy, 29(7-8), 819-831. http://dx.doi.org/10.1016/S0048-7333(00)00107-4

Katila, R., & Ahuja, G. (2002). Something old, something new: A longitudinal study of search behavior and new product introduction. Academy of Management Journal, 45(6), 1183-1194. http://dx.doi.org/10.5465/3069433

Li, N., Lin, R., & Xie, Z. (2020). Research on impact mechanism of exploratory innovation under multiple embedded in knowledge network and cooperation network. Studies in Science of Science, 38(1), 169-179. http://dx.doi.org/10.16192/j.cnki.1003-2053.2020.01.019

Li, P., & Jian, L. (2022). Network structure, knowledge base and enterprise innovation performance. Complex Systems and Complexity Science, 19(02), 31-38. http://dx.doi.org/10.13306/j.1672-3813.2022.02.004

Li, X., Li, K., & Zhou, H. (2022). Impact of inventor’s cooperation network on ambidextrous innovation in Chinese AI enterprises. Sustainability, 14(16), 9996. http://dx.doi.org/10.3390/su14169996

Mancusi, M. L. (2008). International spillovers and absorptive capacity: A cross-country cross-sector analysis based on patents and citations. Journal of International Economics, 76(2), 155-165. http://dx.doi.org/10.1016/j.jinteco.2008.06.007

March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71-87. http://dx.doi.org/10.1287/orsc.2.1.71

Marín-Idárraga, D. A., & Cuartas-Marin, J. C. (2019). Relationship between innovation and performance: Impact of competitive intensity and organizational slack. RAE-Revista de Administração de Empresas, 59, 95-107. http://dx.doi.org/10.1590/S0034-759020190203

Marín‐Idárraga, D. A., Gonzalez, J. M. H., & Medina, C. C. (2016). The antecedents of Exploitation‐Exploration and their relationship with innovation: A study of managers’ cognitive maps. Creativity and Innovation Management, 25(1), 18-37. http://dx.doi.org/10.1111/caim.12139

Marrocu, E., Paci, R., & Usai, S. (2013). Proximity, networking and knowledge production in Europe: What lessons for innovation policy? Technological Forecasting and Social Change, 80(8), 1484-1498. http://dx.doi.org/10.1016/j.techfore.2013.03.004

Ning, L., & Guo, R. (2022). Technological diversification to green domains: Technological relatedness, invention impact and knowledge integration capabilities. Research Policy, 51(1), 104406. http://dx.doi.org/10.1016/j.respol.2021.104406

Phelps, C. C. (2010). A longitudinal study of the influence of alliance network structure and composition on firm exploratory innovation. Academy of Management Journal, 53(4), 890-913. http://dx.doi.org/10.5465/amj.2010.52814627

Quintana-García, C., & Benavides-Velasco, C. A. (2008). Innovative competence, exploration and exploitation: The influence of technological diversification. Research Policy, 37(3), 492-507. http://dx.doi.org/10.1016/j.respol.2007.12.002

Rojas, M. G. A., Solis, E. R. R., & Zhu, J. J. (2018). Innovation and network multiplexity: R&D and the concurrent effects of two collaboration networks in an emerging economy. Research Policy, 47(6), 1111-1124. http://dx.doi.org/10.1016/j.respol.2018.03.018

Sampson, R. C. (2007). R&D alliances and firm performance: The impact of technological diversity and alliance organization on innovation. Academy of Management Journal, 50(2), 364-386. http://dx.doi.org/10.5465/amj.2007.24634443

Shi, X., Zhang, Q., & Zheng, Z. (2019). The double-edged sword of external search in collaboration networks: Embeddedness in knowledge networks as moderators. Journal of Knowledge Management, 23(10), 2135-2160. http://dx.doi.org/10.1108/JKM-04-2018-0226

Sun, Y., & Gong, X. (2020). Superior position equal to greater influence? The moderating role of technological complexity. Journal of Manufacturing Technology Management, 31(7), 1457-1480. http://dx.doi.org/10.1108/JMTM-07-2019-0269

Venkatraman, N. (1989). The concept of fit in strategy research: Toward verbal and statistical correspondence. Academy of Management Review, 14(3), 423-444. http://dx.doi.org/10.5465/amr.1989.4279078

Wang, C., Rodan, S., Fruin, M., & Xu, X. (2014). Knowledge networks, collaboration networks, and exploratory innovation. Academy of Management Journal, 57(2), 484-514. http://dx.doi.org/10.5465/amj.2011.0917

Wang, J., Yang, N., & Guo, M. (2021). How social capital influences innovation outputs: An empirical study of the smartphone field. Innovation, 23(4), 449-469. http://dx.doi.org/10.1080/14479338.2020.1810580

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. http://dx.doi.org/10.1016/j.jbusres.2018.03.034

Wang, P., & Wang, Y. (2018). The characteristics of knowledge components and its effect on inventors’ knowledge combination behavior: From the knowledge network perspective. Business and Management Journal, 40(05), 92-107. http://dx.doi.org/10.19616/j.cnki.bmj.2018.05.006

Wanzenböck, I., & Piribauer, P. (2018). R&D networks and regional knowledge production in Europe: Evidence from a space‐time model. Papers in Regional Science, 97, S1-S24. http://dx.doi.org/10.1111/pirs.12236

Wei, Z., Yi, Y., & Guo, H. (2014). Organizational learning ambidexterity, strategic flexibility, and new product development. Journal of Product Innovation Management, 31(4), 832-847. http://dx.doi.org/10.1111/jpim.12126

Wu, T., Chen, B., Shao, Y., & Lu, H. (2021). Enable digital transformation: Entrepreneurial leadership, ambidextrous learning and organisational performance. Technology Analysis & Strategic Management, 33(12), 1389-1403. http://dx.doi.org/10.1080/09537325.2021.1876220

Xie, X., Wu, Y., & Devece, C. (2022). Is collaborative innovation a double-edged sword for firms? The contingent role of ambidextrous learning and TMT shared vision. Technological Forecasting and Social Change, 175, 121340. http://dx.doi.org/10.1016/j.techfore.2021.121340

Xu, L., Li, J., & Zeng, D. (2017). How does knowledge network affect a firm’s explorative innovation? The contingent role of R&D collaborations. Technology Analysis & Strategic Management, 29(9), 973-987. http://dx.doi.org/10.1080/09537325.2016.1260105

Xu, L., Li, J., & Zhou, X. (2019). Exploring new knowledge through research collaboration: The moderation of the global and local cohesion of knowledge networks. The Journal of Technology Transfer, 44(3), 822-849. http://dx.doi.org/10.1007/s10961-017-9614-8

Xu, L., & Zeng, D. (2021). When does the diverse partnership of R&D alliances promote new product development? The contingent effect of the knowledge base. Technology in Society, 65, 101590. https://doi.org/10.1016/j.techsoc.2021.101590

Yao, L., Li, J., & Li, J. (2020). Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system. Technological Forecasting and Social Change, 160, 120185. http://dx.doi.org/10.1016/j.techfore.2020.120185

Yao, Y., Gao, H., & Sun, F. (2020). The impact of dual network structure on firm performance: The moderating effect of innovation strategy. Technology Analysis & Strategic Management, 32(9), 1020-1034. http://dx.doi.org/10.1080/09537325.2020.1739263

Yayavaram, S., & Ahuja, G. (2008). Decomposability in knowledge structures and its impact on the usefulness of inventions and knowledge-base malleability. Administrative Science Quarterly, 53(2), 333-362. http://dx.doi.org/10.2189/asqu.53.2.333

Yayavaram, S., & Chen, W. R. (2015). Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity. Strategic Management Journal, 36(3), 377-396. http://dx.doi.org/10.1002/smj.2218

Zahra, S. A., Ireland, R. D., & Hitt, M. A. (2000). International expansion by new venture firms: International diversity, mode of market entry, technological learning, and performance. Academy of Management Journal, 43(5), 925-950. http://dx.doi.org/10.5465/1556420

Zhao, X., Shao, F., & Wu, C. (2019). Do stakeholder relationships matter? An empirical study of exploration, exploitation and firm performance. Management Decision, 59(4), 764-786. http://dx.doi.org/10.1108/MD-01-2019-0058

Zhang, S., Zhang, N., Zhu, S., & Liu, F. (2020). A foot in two camps or your undivided attention? The impact of intra-and inter-community collaboration on firm innovation performance. Technology Analysis & Strategic Management, 32(7), 753-768. http://dx.doi.org/10.1080/09537325.2019.1709636

Zhang, Z., & Luo, T. (2020). Knowledge structure, network structure, exploitative and exploratory innovations. Technology Analysis & Strategic Management, 32(6), 666-682. http://dx.doi.org/10.1080/09537325.2019.1693534

Zhu, J., Ning, H., & You, J. (2022). The influence of the structural features of patent cooperation network on enterprise exploratory innovation: A case study of the aviation equipment manufacturing enterprises. Science and Technology Management Research, 42(9), 128-135. http://dx.doi.org/10.3969/j.issn.1000-7695.2022.9.017