How innovation alliances promote technological innovation—Evidence from China’s new research & development institutes
Abstract
Applied research institutes are crucial to technological progress. New Research & Development Institutes (NRDIs) are such a type of organization with Chinese styles. NRDIs participate in innovation alliances to promote technological innovation. Extant literature rarely explores innovation alliances’ influence on NRDIs. Based on social network theories, this research explains how innovation alliances affect NRDIs’ innovation performance. The analysis based on the panel data of 138 NRDIs in China’s Guangdong Province during 2017–2022 finds that innovation alliances’ number and diversity positively affect applied research institutes’ innovation performance. Also, internal financial resources negatively moderate the relationship between innovation alliances’ diversity and alliance members’ innovation performance.
References
1. Zhou E, Liu G. An Empirical Study on the Factors Affecting Innovational Performance of the New R&D Institutions in China—Taking Guangdong as an Example (Chinese). Science & Technology Progress and Policy. 2018; 35(9): 42–47.
2. Wang P, Qin Y, Ding H. Research on the Development Countermeasure of Industry Technology Innovation Strategic Alliance Based on the Content Analysis of Alliance Work Summary (Chinese). Science and Technology Management Research. 2016; 36(3): 84–88.
3. Zhou J, Chen W, Yu L, et al. Different Types of New R&D Institutions and Development Analysis (Chinese). Forum on Science and Technology in China. 2021; 7: 29–36.
4. Zhang Y, Li R, Liu Y, et al. Research on the Status of New R&D Institutions in Guangdong Province (Chinese). Science and Technology Management Research. 2018; 38(13): 124–132.
5. Kang B. Innovation Processes in Public Research Institutes: AIST, Fraunhofer and ITRI Case Studies. Science, Technology and Society. 2021; 26(3): 433-458. doi: 10.1177/0971721821995588
6. Póvoa LMC, Rapini MS. Technology transfer from universities and public research institutes to firms in Brazil: what is transferred and how the transfer is carried out. Science and Public Policy. 2010; 37(2): 147-159. doi: 10.3152/030234210x496619
7. Rao Y, Liu H, Zhang Y. Intellectual property management of new R&D institutions from the perspective of institutional theory (Chinese). Studies in Science of Science. 2022; 40(6): 1075–1084.
8. Ye N, Sun H, Zhu Y, et al. Research on Policies for Transforming Traditional Local Research Institutes into New R&D Institutions (Chinese). Scientific Management Research. 2023; 41(2): 45–50.
9. Zhao J, Dai Q. Study on Construction of New Innovation System Based on Data Analysis of New Research and Development Institutions in Guangdong (Chinese). Science and Technology Management Research. 2017; 37(20): 82–87.
10. Chen X, Long Y. The Development Experiences and Suggestion about Promoting the Transformation of Scientific and Technological Achievements from Innovative Research and Development Institute (Chinese). Science and Technology Management Research. 2017; 37(4): 101–105.
11. Conlé M, Zhao W, ten Brink T. Technology transfer models for knowledge-based regional development: New R&D institutes in Guangdong, China. Science and Public Policy. 2020; 48(1): 132-144. doi: 10.1093/scipol/scaa063
12. Hui Q, Gou S, Yang H. The Research on the Multi-factor and Multi-configuration Development Model of New R&D Institutions Jointly Established by Universities and Local Governments (Chinese). Science and Technology Management Research. 2021; 41(1): 94–99.
13. Ma W, Fan M, Zhang G, et al. Multi-Case Study on the Operation Mechanism of New Research and Development Institutions Based on the Perspective of Dual Innovation Theory (Chinese). Forum on Science and Technology in China. 2021; 4: 64–74.
14. Yu G, Hu B, Wang H. Research on the Function Realization Mechanism of the Innovative R&D Institutions—Taking Beijing as an Example (Chinese). Studies in Science of Science. 2023; 2: 1–15.
15. Zhang F, Yuan C, Guo J. Deep integration of industry, university and research in new R&D institutions: The password of institutional mechanism innovation (Chinese). Science Research Management. 2021; 42(11): 43–53.
16. Wei Q, Zhang C, Li T. Digital Collaborative Management of New R&D Institutions (Chinese). Science and Technology Management Research. 2021; 41(20): 60–65.
17. Wu F, Xu W. Evolution of the Market-oriented Transformation of Government-led New R&D Institutions Jointly Constructed by Local Government and University: The Perspective of Resource Dependence Theory (Chinese). Science & Technology Progress and Policy. 2022; 12: 1–12.
18. Borsi B. The Balanced State of Application-oriented Public Research and Technology Organisations. Science and Public Policy. 2021; 48(5): 612-629. doi: 10.1093/scipol/scaa071
19. Zhi L, Wang Y, Mi Y. Research on Talent Cultivation Paths of New R&D Institutions in Colleges and Universities from the Perspective of Niche Theory (Chinese). Science and Technology Management Research. 2021; 41(11): 102–107.
20. Deng M, Wang M, Lai T, Chen C. Construction and Application of Performance Appraisal Index System of the Classified New R&D Institutions: Based on Fiscal Expenditure Performance Targets (Chinese). Science and Technology Management Research. 2023; 43(9): 43–48.
21. Yang B, Tu P. A research on the evaluation index system of new research institutions in Beijing (Chinese). Science Research Management. 2018; 39(S1): 81–86.
22. Zhang G, Liu S, Liu Y, Ma W. Evaluation of the Core Competence of New R&D Institutions: The Perspective of Ecological Niche. Science & Technology Progress and Policy (Chinese). 2021; 38(8): 136–144.
23. Llanos-Paredes P. The effect of applied research institutes on invention: Evidence from the Fraunhofer centres in Europe. Research Evaluation. 2023; 32(3): 566-576. doi: 10.1093/reseval/rvad028
24. Pfister C, Koomen M, Harhoff D, et al. Regional innovation effects of applied research institutions. Research Policy. 2021; 50(4): 104197. doi: 10.1016/j.respol.2021.104197
25. Jiang C, Gao Y, Li S, et al. Characteristics and factors for the innovation performance of New R&D Institutes at start‐up stages: an exploratory study from China. R&D Management. 2023; 53(3): 408-433. doi: 10.1111/radm.12579
26. Mao Y, Cao J, Fang Y. An analysis of the influencing factors of new R&D institutions based on ISM (Chinese). Science Research Management. 2022; 43(8): 55–62.
27. Zhang Y, Zhang G, Ma W, Huang S. What kind of new R&D institutions have higher innovation performance?—Configuration analysis based on TOE framework (Chinese). Studies in Science of Science. 2022; 40(4): 758–768.
28. Zhou J, Wang M, Hu B. Research on value creation of new R&D institutions in platform ecosystem (Chinese). Studies in Science of Science. 2023; 41(8): 1442–1453.
29. Lahiri N, Narayanan S. Vertical integration, innovation, and alliance portfolio size: Implications for firm performance. Strategic Management Journal. 2013; 34(9): 1042-1064. doi: 10.1002/smj.2045
30. Satta G, Parola F, Penco L, et al. Insights to technological alliances and financial resources as antecedents of high‐tech firms’ innovative performance. R&D Management. 2015; 46(S1): 127-144. doi: 10.1111/radm.12117
31. Zhang J, Jiang H, Wu R, et al. Reconciling the Dilemma of Knowledge Sharing: A Network Pluralism Framework of Firms’ R&D Alliance Network and Innovation Performance. Journal of Management. 2018; 45(7): 2635-2665. doi: 10.1177/0149206318761575
32. Zhang S, Yuan C, Han C. Industry-university-research alliance portfolio size and firm performance: the contingent role of political connections. The Journal of Technology Transfer. 2020; 45(5): 1505-1534. doi: 10.1007/s10961-020-09778-6
33. Shin K, Kim SJ, Park G. How does the partner type in R&D alliances impact technological innovation performance? A study on the Korean biotechnology industry. Asia Pacific Journal of Management. 2015; 33(1): 141-164. doi: 10.1007/s10490-015-9439-7
34. Wang Y, Yuan C, Zhang S, et al. Moderation in all things: Industry-university-research alliance portfolio configuration and SMEs’ innovation performance in China. Journal of Small Business Management. 2021; 60(6): 1516-1544. doi: 10.1080/00472778.2020.1867735
35. Ardito L, Petruzzelli AM, Albino V. The Influence of Alliance Ambidexterity on Innovation Performance and the Moderating Role of Firm Age. IEEE Transactions on Engineering Management. 2021; 68(2): 370-377. doi: 10.1109/tem.2019.2902069
36. Filiou D, Massini S. Industry cognitive distance in alliances and firm innovation performance. R&D Management. 2017; 48(4): 422-437. doi: 10.1111/radm.12283
37. Duysters G, Lokshin B. Determinants of Alliance Portfolio Complexity and Its Effect on Innovative Performance of Companies*. Journal of Product Innovation Management. 2011; 28(4): 570-585. doi: 10.1111/j.1540-5885.2011.00824.x
38. van Beers C, Zand F. R&D Cooperation, Partner Diversity, and Innovation Performance: An Empirical Analysis. Journal of Product Innovation Management. 2013; 31(2): 292-312. doi: 10.1111/jpim.12096
39. Lucena A, Roper S. Absorptive Capacity and Ambidexterity in R&D: Linking Technology Alliance Diversity and Firm Innovation. European Management Review. 2016; 13(3): 159-178. doi: 10.1111/emre.12074
40. Elia S, Messeni Petruzzelli A, Piscitello L. The impact of cultural diversity on innovation performance of MNC subsidiaries in strategic alliances. Journal of Business Research. 2019; 98: 204-213. doi: 10.1016/j.jbusres.2019.01.062
41. Wang CH, Quan XI. The Effect of R&D Alliance Diversity and Network Position on Firm Innovation Performance: Evidence from the Emerging Biotechnology Industry. Science, Technology and Society. 2017; 22(3): 407-424. doi: 10.1177/0971721817723374
42. Silva Queiroz GL, de Oliveira Paula F, da Silva JF. The role of alliance portfolio diversity on firm innovation and performance: the case of Colombia. Technology Analysis & Strategic Management. 2021; 35(4): 365-379. doi: 10.1080/09537325.2021.1975036
43. Jiang W, Shu C, Zhou KZ, et al. When more is better: a contingent view of alliance partner multiplicity and a focal firm’s product innovation performance in China. Innovation. 2021; 23(4): 507-533. doi: 10.1080/14479338.2021.1873788
44. Ferrigno G, Dagnino GB, Di Paola N. R&D alliance partner attributes and innovation performance: a fuzzy set qualitative comparative analysis. Journal of Business & Industrial Marketing. 2021; 36(13): 54-65. doi: 10.1108/jbim-07-2020-0314
45. Hagedoorn J, Lokshin B, Malo S. Alliances and the innovation performance of corporate and public research spin-off firms. Small Business Economics. 2017; 50(4): 763-781. doi: 10.1007/s11187-017-9894-2
46. Vlaisavljevic V, Cabello‐Medina C, Pérez‐Luño A. Coping with Diversity in Alliances for Innovation: The Role of Relational Social Capital and Knowledge Codifiability. British Journal of Management. 2015; 27(2): 304-322. doi: 10.1111/1467-8551.12155
47. Uzzi B. Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness. Administrative Science Quarterly. 1997; 42(1): 35. doi: 10.2307/2393808
48. Yang Z, Wang Q. The power of structure: A study of the impact of strategic alliance network on firm’s technological innovation (Chinese). Science Research Management. 2022; 43(7), 154–162.
49. Cai Y, Fu L, Liang J. Evolution of Alliance Relationship, Network Structure Hole and Firm’s Cooperative Innovation Performance (Chinese). Forum on Science and Technology in China. 2021; 10: 94–103.
50. Wang P. The Blue Book on the Development of Integrated Circuits Industry in China (2017-2018)(Chinese). People’s Publishing House; 2018.
51. Ou C, Liu Y, Zhang G, Yang S. A Research on the Background and Opportunity of New R&D Institutions Oriented to the Stage of Scientific and Technological Innovation (Chinese). Journal of Guangdong University of Technology. 2019; 36(5): 102–110.
52. Collins J, Riley J. Alliance Portfolio Diversity and Firm Performance: Examining Moderators. J of Business and Management. 2013; 19(2): 35-50. doi: 10.1504/jbm.2013.141209
53. Jiang RJ, Tao QT, Santoro MD. Alliance portfolio diversity and firm performance. Strategic Management Journal. 2010; 31(10): 1136-1144. doi: 10.1002/smj.869
54. Vanino E, Roper S, Becker B. Knowledge to money: Assessing the business performance effects of publicly-funded R&D grants. Research Policy. 2019; 48(7): 1714-1737. doi: 10.1016/j.respol.2019.04.001
55. Soopat. Guide to Patent Classification. SooPat; 2023.
56. World Intellectual Property Organization. Guide to the International Patent Classification. World Intellectual Property Organization; 2023.
57. Robinson C, Schumacker RE. Interaction effects: centering, variance inflation factor, and interpretation issues. Multiple Linear Regression Viewpoints. 2009; 35(1): 6–11.
58. SATI. Shenzhen Advanced Technology Institute Annual Report 2017–2022 (Chinese). Shenzhen Advanced Technology Institute; 2023.
59. Peng H. Dataset of Chinese NRDIs 2017–2022. Available online: https://www.scidb.cn/en/detail?dataSetId=10b3476a17424be1ab303bccc54f42f7 (accessed on 1 June 2025).
60. GEIC. Guangdong Electronics Industry Corporation Annual Report 2017–2022 (Chinese). Guangdong Electronics Industry Corporation; 2023.
61. GATRI. Guangzhou Advanced Technology Research Institute Annual Report 2017–2022 (Chinese). Guangzhou Advanced Technology Research Institute; 2023.
62. Chen Q, Lin S, Zhang X. The Effect of China’s Incentive Policies for Technological Innovation: Incentivizing Quantity or Quality (Chinese). China Industrial Economics. 2020; 4: 79–96.
63. The Fraunhofer Society. The Fraunhofer Society Annual Report 2017–2022. The Fraunhofer Society; 2023.
64. Yun JJ, Jeong E, Lee Y, et al. The Effect of Open Innovation on Technology Value and Technology Transfer: A Comparative Analysis of the Automotive, Robotics, and Aviation Industries of Korea. Sustainability. 2018; 10(7): 2459. doi: 10.3390/su10072459
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