The Effect of Network Embedding on Innovation Performance: Based on the Moderating Effect of Knowledge Distance

Authors

  • Yubing Han

DOI:

https://doi.org/10.54097/fbem.v3i2.271

Keywords:

Network embedding, Knowledge distance, Innovation performance

Abstract

Based on the network embedding theory and innovation performance, and taking knowledge distance as a moderating variable, case and empirical research methods are adopted to explore the relationship between network embedding and innovation performance, and to reveal the role of knowledge distance in the relationship between network embedding and innovation performance. The research results have important theoretical and practical value for further improving the structural characteristic system of innovation network and the knowledge flow mechanism of knowledge distance inside and outside enterprises, and further enrich and expand the theory of enterprise innovation performance.

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References

Lyu Y B, He B Y, Zhu Y Q, et al. Network embeddedness and inbound open innovation practice: The moderating role of technology cluster[J]. Technological Forecasting and Social Change, 2019, 144: 12-24. DOI: https://doi.org/10.1016/j.techfore.2019.03.018

Mazzola E, Perrone G, Kamuriwo D S. Network embeddedness and new product development in the biopharmaceutical industry: The moderating role of open innovation flow[J]. International Journal of Production Economics, 2015, 160:106-119. DOI: https://doi.org/10.1016/j.ijpe.2014.10.002

Teece D J. Business models and dynamic capabilities[J]. Long Range Planning, 2018, 51(1):40-49. DOI: https://doi.org/10.1016/j.lrp.2017.06.007

Wei Z L, Shen H, Zhou K Z, et al. How does environmental corporate social responsibility matter in a dysfunctional institutional environment? Evidence from China[J]. Journal of Business Ethics, 2017, 140(2):209-223. DOI: https://doi.org/10.1007/s10551-015-2704-3

Zheng Q Q, Luo Y D, Maksimov V. Achieving legitimacy through corporate social responsibility: The case of emerging economy firms[J]. Journal of World Business, 2015, 50(3):389-403. DOI: https://doi.org/10.1016/j.jwb.2014.05.001

Uzzi B. Social structure and competition in interfirm networks: The paradox of embeddedness [J]. Administrative Science Quarterly, 1997, 42(1):35-67. DOI: https://doi.org/10.2307/2393808

He Y, Lai K K, Sun H, et al. The impact of supplier integration on customer integration and new product performance: the mediating role of manufacturing flexibility under trust theory [J]. International Journal of Production Economics, 2014, 147:260-270. DOI: https://doi.org/10.1016/j.ijpe.2013.04.044

Caniëls M C, Romijn H A. Actor networks in strategic niche management: insights from social network theory [J]. Futures, 2008, 40(7):613-629. DOI: https://doi.org/10.1016/j.futures.2007.12.005

Meuleman M, Lockett A, Manigart S, et al. Partner Selection Decisions in Interfirm Collaborations: The Paradox of Relational Embeddedness[J]. Journal of Management Studies, 2010, 47(6):995- 1019. DOI: https://doi.org/10.1111/j.1467-6486.2009.00897.x

Liu X, Vahtera P, Wang C, et al. The delicate balance: Managing technology adoption and creation in multinational affiliates in an emerging economy[J]. International Business Review, 2016, 26(3):515-526. DOI: https://doi.org/10.1016/j.ibusrev.2016.11.002

Yamin M, Otto J. Patterns of knowledge flows and MNE innovative performance[J]. Journal of International Management, 2004, 10(2):239-258. DOI: https://doi.org/10.1016/j.intman.2004.02.001

Jörn H B, Joachim H, Tim G S, et al. Commercializing user innovations by vertical diversification: The user–manufacturer innovator[J]. Research Policy, 2016, 45(1):244-259. DOI: https://doi.org/10.1016/j.respol.2015.09.007

Miguélez E, Moreno R. Knowledge flows and the absorptive capacity of regions[J]. Research Policy, 2015, 44(4):833-848. DOI: https://doi.org/10.1016/j.respol.2015.01.016

Qian G, Li L. Profitability of Small- and Medium-Sized Enterprises in High-Tech Industries: The Case of the Biotechnology Industry[J]. Strategic Management Journal, 2003, 24(9):881-887. DOI: https://doi.org/10.1002/smj.344

Lee Y N. Evaluating and extending innovation indicators for innovation policy[J]. Research Evaluation, 2015, 24(4):471-488. DOI: https://doi.org/10.1093/reseval/rvv017

Kim D Y. Understanding supplier structural embeddedness: A social network perspective[J]. Journal of Operations Management, 2014, 32(5):219-231. DOI: https://doi.org/10.1016/j.jom.2014.03.005

Cummings J L, Teng B S. Transferring R&D Knowledge: The Key Factors Affecting Knowledge Transfer Success[J]. Journal of Engineering and Technology Management, 2003, 20(1):39-68. DOI: https://doi.org/10.1016/S0923-4748(03)00004-3

Martina Battisti, Joanna Scott-Kennel, David Deakins. A network perspective on foreign entry modes of small knowledge-intensive services firms[J]. European Journal of Marketing, 2021, 55(7): 1979-2011 DOI: https://doi.org/10.1108/EJM-10-2018-0732

Reagans Ray, McEvily Bill. Network Structure and Knowledge Transfer: The Effects of Cohesion and Range[J]. Administrative Science Quarterly, 2003, 48(2):240-267. DOI: https://doi.org/10.2307/3556658

Lowik Sandor, Rossum Daan Van, Kraaijenbrink Jreoen, et al. Strong Ties as Sources of New Knowledge: How Small Firms Innovate through Bridging Capabilities[J]. Journal of Small Business Management, 2012, 50(2):54-68. DOI: https://doi.org/10.1111/j.1540-627X.2012.00352.x

Albis Nadia, Álvarez Isabel, García Aura. The impact of external, internal, and dual relational embeddedness on the innovation performance of foreign subsidiaries: Evidence from a developing country[J]. Journal of International Management, 2021, 27(4):1155-1168.. DOI: https://doi.org/10.1016/j.intman.2021.100854

Zhao Yue, Parente Ronaldo, Fainshmidt Stav, et al. MNE host-country alliance network position and post-entry establishment mode choice[J]. Journal of International Business Studies, 2021, 52:1350–1364. DOI: https://doi.org/10.1057/s41267-021-00414-5

Xuefeng Liu, Jing Cai, Alison U. Smart. Does the way in which a firm interacts with its network partners influence its formulation of product innovation strategies?[J]. International Journal of Technology Management, 2020, 83(4):181-204. DOI: https://doi.org/10.1504/IJTM.2020.10032303

Liang Liu, Min Zhao, Lixin Fu, et al. Unraveling local relationship patterns in project networks: A network motif approach[J]. International Journal of Project Management, 2021, 39(5):437-448. DOI: https://doi.org/10.1016/j.ijproman.2021.02.004

Clegg C,Unsworth K,Epitropaki O,et al.Implicating trust in the innovation process[J]. Journal of Occupational and Organizational Psychology, 2002, 75(4):58-65. DOI: https://doi.org/10.1348/096317902321119574

Mu J, Peng G, Love E. Interfirm networks, social capital, and knowledge flow[J]. Journal of Knowledge Management, 2008, 12(4):86-100. DOI: https://doi.org/10.1108/13673270810884273

Coleman J S.Social Capital in the Creation of Human Capital[J]. American Journal of Sociology, 1988, 23(1):17-41. DOI: https://doi.org/10.1016/B978-0-7506-7222-1.50005-2

McFadyen M.A.,Cannella A A.Social Capital and Knowledge Creation: Diminishing Returns of the Number and Strength of Exchange[J]. The Academy of Management Journal, 2004, 47(5):735-746. DOI: https://doi.org/10.5465/20159615

Weisbuch G,Battiston S.From production networks to geographical economics[J]. Journal of Economic Behavior & Organization, 2007, 64(4):448-469. DOI: https://doi.org/10.1016/j.jebo.2006.06.018

Granovetter M.Economic Action and Social Structure: The Problem of Embeddedness[J]. American Journal of Sociology, 1985, 91(3):481-510. DOI: https://doi.org/10.1086/228311

Uzzi B. The Sources and Consequences of Embeddedness for the Economic Performance of Organizations: The Network Effect[J]. American Sociological Review, 1996, 61(4):65-98. DOI: https://doi.org/10.2307/2096399

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Published

24-03-2022

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How to Cite

Han, Y. (2022). The Effect of Network Embedding on Innovation Performance: Based on the Moderating Effect of Knowledge Distance. Frontiers in Business, Economics and Management, 3(2), 64-68. https://doi.org/10.54097/fbem.v3i2.271