合作视角的自动驾驶企业技术布局策略

孙玉涛, 王祺, 张晨

科研管理 ›› 2024, Vol. 45 ›› Issue (1) : 162-171.

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科研管理 ›› 2024, Vol. 45 ›› Issue (1) : 162-171. DOI: 10.19571/j.cnki.1000-2995.2024.01.016

合作视角的自动驾驶企业技术布局策略

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Strategies of autonomous driving firms for their technological layout from the perspective of R&D collaborations

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摘要

新兴技术企业如何利用研发合作进行技术布局是重要的研究议题。本文将企业技术布局从多元化或专业化的二元视角拓展到两者兼有的“T”型策略,并从企业与合作伙伴的熟悉程度和竞争程度两个维度探究合作对多元化、专业化和“T”型技术布局策略的影响。以2011—2020年中美自动驾驶企业为样本使用Probit模型进行实证分析,研究结果显示:企业与新伙伴、非竞争性伙伴合作均有利于突破路径依赖、横向拓宽技术领域,形成多元化技术布局;企业与原有伙伴、竞争性伙伴合作对纵向深耕核心技术领域,形成专业化技术布局的影响不显著;企业与新的竞争性伙伴合作有利于形成“T”型技术布局。异质性分析结果表明:中美两国自动驾驶企业多元化和“T”型技术布局的影响机制存在显著差异,中国企业与非竞争性伙伴合作更易形成多元化布局,与新的竞争性伙伴合作更易形成“T”型布局;而美国企业与新伙伴合作、与新的竞争性伙伴合作对多元化和“T”型技术布局没有显著影响。研究结论为我国自动驾驶企业技术布局提供了决策依据与实践启示。

Abstract

Diversification or specialization is a common choice of firms for their technological layout strategies. Extant studies focus either on diversification or on specialization, which are seemed incompatible strategies for firms. However, diversification and specialization are not two ends of the same dimension. A high degree of diversification does not mean a low degree of specialization, and vice versa. Thus, this paper combined diversification with specialization and extended the technological layout strategy of firms to the “T” shaped strategy. The “T” shaped strategy means that a firm not only focuses on deeply cultivating its core technological fields, but also broadening to other related or unrelated technological fields when choosing a technological layout strategy.

Moreover, the prior literatures suggested that collaborations have impacts on the technological layout of firms, but scholars only paid attention to the influence of characteristics of collaboration, such as the alliance type, the degree of internationalization and technological distance, etc. The degree of familiarity and competition between the focal firm and its collaboration partners are ignored, and how these characteristics of R&D collaborations influence the technology layout strategy of firms is less studied until now. In reality, more and more firms form the “T” shaped strategy relying on R&D collaborations, especially for autonomous driving firms which facing on high uncertainty and technological complexity. In the field of autonomous driving, inter-firms both compete and cooperate. How the conflicts of interest between competitors affect the knowledge acquisition in the process of R&D collaborations? Whether repeated collaboration can improve mutual trust? These queries will pose new challenges for the question how R&D collaboration affects the technological layout of autonomous driving firms.

Therefore, from the perspective of new/old partners and competitive/non-competitive partners, this paper investigated how R&D partner selection influences the formation of diversification, specialization and the “T” shaped strategies of autonomous driving firms. Using a sample of Chinese and American autonomous driving firms,and collecting the panel data from 2011 to 2020 for an empirical analysis,this study reached the following new findings: first, R&D collaborations with new partners and non-competitive partners can both help firms broaden technological fields and then form the diversification strategy. Second, R&D collaborations withboth former partners and competitive partners have no significant impacts on the specialization strategy of firms. Third, R&D collaborations with newly competitive partners are conducive to the focal firm forming the “T” shaped strategy. Finally, there are significant differences between Chinese and American autonomous driving firms considering the effects of R&D collaborations on technology layout strategies. Specifically, Chinese autonomous driving firms collaborate with new R&D partners have more significant effects on the diversification strategy than American firms. Besides, Chinese autonomous driving firms collaborate with newly competitive partners have more significant effects on the “T” shaped strategy than American firms.

These findings will make contributions to the literature on R&D collaborations and technological layout strategy of firms. First, the present study extended the technological layout strategies of firms from diversification or specialization to the “T” shaped strategy. Second, this paper explored how R&D collaborations have impacts on the diversification, specialization and the “T” shaped strategies of firms, which enriches the relationships between R&D collaborations and technological layout strategies of firms.

关键词

研发合作 / 技术布局 / 多元化 / 专业化 / “T”型策略 / 自动驾驶

Key words

R&D collaboration / technological layout / diversification / specialization / “T” shaped strategy / autonomous driving

引用本文

导出引用
孙玉涛, 王祺, 张晨. 合作视角的自动驾驶企业技术布局策略[J]. 科研管理. 2024, 45(1): 162-171 https://doi.org/10.19571/j.cnki.1000-2995.2024.01.016
Sun Yutao, Wang Qi, Zhang Chen. Strategies of autonomous driving firms for their technological layout from the perspective of R&D collaborations[J]. Science Research Management. 2024, 45(1): 162-171 https://doi.org/10.19571/j.cnki.1000-2995.2024.01.016
中图分类号: F273.1   

参考文献

[1]
刘凤朝, 罗蕾, 张淑慧. 知识属性、知识关系与研发合作企业创新绩效[J]. 科研管理, 2021, 42(11): 155-163.
LIU Fengchao, LUO Lei, ZHANG Shuhui. Knowledge attributes, knowledge relations and firm's innovation performance in the R&D cooperation[J]. Science Research Management, 2021, 42(11): 155-163.
[2]
KODAMA F. Technology diversification of Japanese industry[J]. Science, 1986(233):291-296.
[3]
李玉刚, 叶凯月, 吴朋. 研发投入、市场化程度与企业专业化经营[J]. 科研管理, 2022, 43(4): 158-164.
LI Yugang, YE Kaiyue, WU Peng. R&D investment, marketization degree and specialized operation of enterprises[J]. Science Research Management, 2022, 43(4): 158-164.
[4]
贾军, 张卓. 企业技术范围选择:技术多元化还是技术专业化[J]. 科学学与科学技术管理, 2012, 33(11): 124-133.
JIA Jun, ZHANG Zhuo. Enterprise technological scope choice: Technological diversification or technological specialization[J]. Science of Science and Management of S.& T., 2012, 33(11): 124-133.
[5]
徐欣, 刘梦冉. 产学研联盟与企业技术多元化:基于发明专利IPC信息的研究[J]. 科学学研究, 2020, 38(10): 1858-1867.
摘要
产学研联盟一直是中国政府促进技术创新的一项重要国策。产学研联盟如何影响我国企业的创新,现有文献尚未给出一致的答案。不同于以往研究,本文基于发明专利IPC分类信息,研究了产学研联盟影响创业板公司技术创新的作用机理,以此来检验产学研联盟的政策效果。在使用“匹配法和双重差分模型”之后,本文研究发现,产学研联盟对于企业技术多元化具有显著的积极影响。在使用动态分析模型后,进一步发现这一积极作用具有明显的滞后效应。本文为我们深入认识产学研联盟政策的实际效果提供了理论基础和经验证据,并为政府和企业完善产学研联盟和进一步深化自主创新提供了决策依据和政策建议。
XU Xin, LIU Mengran. Industry-university research alliances and corporate technological diversification: A study based on IPC information of inventions[J]. Studies in Science of Science, 2020, 38(10): 1858-1867.
Industry-university research alliances (IURA) are an important national policy for Chinese government to accelerate technological innovation. However, it is still not clear that how IURA impact corporate innovation. Unlike prior studies, we analyzed the impact of IURA and its mechanism on corporate innovation to examine their policy effects based on IPC information of inventions, taking the companies of the ChiNext market as the research object. Our results show that IURA have a positive impact on technological diversification after using propensity score matching method and difference-in-differences regressions. Moreover, we further find that the impact has a significant lagged effect after using dynamic analysis model. This paper provides theory and empirical evidence for our insight into real effects of Chinese IURA policy. In addition, it also provides meaningful policy implications for China’s government and firms to perfect IURA policy and enhance innovation capability.
[6]
LEE S U, KANG J. Technological diversification through corporate venture capital investments: Creating various options to strengthen dynamic capabilities[J]. Industry and Innovation, 2015, 22(5): 349-374.
[7]
CANTWELL J, SANTANGELO G D. The boundaries of firms in the new economy: M&As as a strategic tool toward corporate technological diversification[J]. Structural Change and Economic Dynamics, 2006, 17(2): 174-199.
[8]
BASIC M, VLAJCIC D. Connecting international R&D cooperation and technology specialization in OECD countries[J]. Economy and Market Communication Review, 2021, 11(1): 35-46.
[9]
何瑞芳. 研发联盟技术异质性及冗余资源对企业技术多元化影响研究[D]. 长沙: 湖南大学, 2015.
HE Ruifang. Research on the influence of R&D alliances technology heterogeneity and slack resources on enterprises' technology diversification[D]. Changsha: Hunan University, 2015.
[10]
LAI H C, WENG C S. Do technology alliances benefit technological diversification? The effects of technological knowledge distance, network centrality and complementary assets[J]. Asia Journal of Technology Innovation, 2013, 21(1): 136-152.
[11]
NOSELEIT F, DE FARIA P. Complementarities of internal R&D and alliances with different partner types[J]. Journal of Business Research, 2013, 66(10): 2000-2006.
[12]
张红娟, 申宇, 赵晓阳, 等. 企业外部研发合作、内部知识网络与创新绩效[J]. 科学学研究, 2022, 40(4): 704-712.
摘要
外部研发合作有利于丰富企业的知识元素和组合范式进而影响其创新绩效,企业内部知识网络会影响其外部研发合作的效能。基于知识组合的视角探究不同类型企业外部研发合作,与大学/研究机构的合作(学研合作)以及与企业的合作(企业合作),对企业创新绩效的差异化影响,并进一步揭示企业内部知识网络特征(知识组合能力和知识协调成本)对上述影响的调节作用。通过对2012年—2017年中国计算机通信及电子设备制造业和医药制造业323家上市公司的数据分析,发现学研合作对企业创新绩效的促进作用大于企业合作;企业知识组合能力会抑制学研合作对企业创新绩效的积极影响,促进企业合作对企业创新绩效的积极影响;企业知识协调成本会减弱企业合作与企业创新绩效的正向关系,对学研合作与企业创新绩效关系的影响不显著。
ZHANG Hongjuan, SHEN Yu, ZHAO Xiaoyang, et al. External collaboration heterogeneity, internal knowledge network, and firm innovation performance[J]. Studies in Science of Science, 2022, 40(4): 704-712.
External collaboration is important for incumbent firms to enlarge necessary new knowledge elements and recombination paradigm for innovation, while internal knowledge networks can affect its effectiveness. We distinguish two types of external collaborations, academic collaboration, and industry collaboration, and analyze how their effectiveness on innovation was affected by the structure of internal knowledge networks. Employing a dataset of 323 listed companies in the communication industry and pharmaceutical industry in China, from 2012 to 2017, we found that firms with external collaborations, particularly firms with more academic collaborations—have a higher innovation performance than their non-connected counterparts. Firm’s internal knowledge recombination potential, measured by the weighted clustering coefficient and average path length of the firm’s internal knowledge network, will weaken the impact of academic collaboration, but contribute to the impact of industry collaboration. A firm’s internal knowledge coordination cost, measured by average ties per inventor in the firm, can weaken the positive relationship between industry collaboration and firm innovation.
[13]
梁杰, 谢恩, 赵龙峰. 企业与多类型伙伴间的重复合作对研发创新绩效的影响研究[J]. 科学学与科学技术管理, 2020, 41(7): 38-49.
LIANG Jie, XIE En, ZHAO Longfeng. The influence of repeated ties between firm and multi-type partners on R&D innovation performance[J]. Science of Science and Management of S.& T., 2020, 41(7): 38-49.
[14]
WERNERFELT B. A resource-based view of the firm[J]. Strategic Management Journal, 1984, 5(2): 171-180.
[15]
TSAI W P. Knowledge transfer in intraorganizational networks: Effects of network position and absorptive capacity on business unit innovation and performance[J]. The Academy of Management Journal, 2001, 44(5): 996-1004.
[16]
李姝影, 方曙. 专利技术一体化组合分析方法及实证研究[J]. 情报学报, 2016, 35(5):451-462.
LI Shuying, FANG Shu. An empirical research of patent portfolio analysis method on the patent technology portfolio level[J]. Journal of the China Society for Scientific and Technical Information, 2016, 35(5): 451-462.
[17]
ARRANZ N, DE ARROYABE J C F. The choice of partners in R&D cooperation: An empirical analysis of Spanish firms[J]. Technovation, 2008, 28(1-2): 88-100.
[18]
BECERRA M, LUNNAN R, HUEMER L. Trustworthiness, risk, and the transfer of tacit and explicit knowledge between alliance partners[J]. Journal of Management Studies, 2008, 45(4): 691-713.
[19]
PANGARKAR N. Do firms learn from alliance terminations? An empirical examination[J]. Journal of Management Studies, 2009, 46(6): 982-1004.
[20]
WU H L, LEE C Y, LIN J C. When to commit more to a technological entry: Evidence of the follow-up patenting action of bearings manufacturers[J]. Journal of Engineering and Technology Management, 2014, 31:1-20.
[21]
苏中锋. 合作研发的控制机制与机会主义行为[J]. 科学学研究, 2019, 37(1): 112-120+164.
摘要
避免合作研发中出现的机会主义行为是实现合作研发目标的重要保证。本文关注合作研发的控制机制与机会主义行为的关系,及合作研发伙伴间的技术差异和管理差异对该关系的调节作用。研究发现:契约控制和信任控制都可以减少合作研发中的机会主义行为。同时,契约控制对机会主义行为的抑制作用在技术差异和管理差异大时会被削弱,而信任控制的抑制作用在技术差异和管理差异大时会更加重要。本文识别出可以抑制合作研发中机会主义行为的要素,并丰富了对控制机制的价值和有效性的认识。同时,本文还可以指导企业针对合作研发伙伴间差异这一情境,设计控制机制来减少合作研发中的机会主义行为,进而促进合作研发目标的实现。
SU Zhongfeng. Control mechanisms and opportunistic behaviors in R&D cooperation[J]. Studies in Science of Science, 2019, 37(1): 112-120+164.
[22]
郝晨, 张卫国, 李梦雅. 风险投资、国际化战略与企业创新绩效:基于中国创业板上市公司的研究[J]. 科研管理, 2022, 43(4): 185-191.
HAO Chen, ZHANG Weiguo, LI Mengya. Vertical capital, internationalization strategy and enterprise innovation performance:Based on the research of China's GEM listed companies[J]. Science Research Management, 2022, 43(4): 185-191.
[23]
张娜. 双层次合作网络构建对企业探索性创新绩效的影响研究[D]. 大连: 大连理工大学, 2019.
ZHANG Na. The impact of two-level collaboration network construction on enterprises' exploratory innovation performance[D]. Dalian: Dalian University of Technology, 2019.
[24]
肖延高, 刘鑫, 童文锋, 等. 研发强度、专利行为与企业绩效[J]. 科学学研究, 2019, 37(7): 1153-1163.
摘要
在外部政策和内部资源双重约束下,中国企业专利行为是否存在背离技术创新和市场竞争的“异化”现象?专利创造、运用和保护能力在多大程度上有助于企业竞争力的提升?这是近十年来学界、政府和企业共同关注的问题。本文选取深圳市219家知识产权优势/示范企业作为全样本,对企业研发强度与专利申请动机、专利能力与企业绩效之间的关系进行实证分析。研究结果表明:样本企业的研发强度显著正向影响与技术创新强相关的专利申请动机,但与技术创新弱相关的专利申请动机无显著相关关系;总体而言,专利能力与企业绩效呈显著正相关关系,但专利创造能力、运用能力和保护能力对企业绩效的作用存在显著差异。上述研究结果对现行专利政策的调整和完善具有启发意义。
XIAO Yangao, LIU Xin, TONG Wenfeng, et al. R&D intensity, patent behavior and enterprise performance[J]. Studies in Science of Science, 2019, 37(7): 1153-1163.
[25]
郑登攀, 周青, 杨伟. 技术创新能力与“一带一路”出口贸易:市场拓展能力和企业年龄的影响[J]. 管理评论, 2022, 34(2): 154-165.
ZHENG Pandeng, ZHOU Qing, YANG Wei. Technological innovation capability and export trade along the “Belt and Road”: Influence of market development capability and enterprise age[J]. Management Review, 2022, 34(2): 154-165.

基金

国家社会科学基金重大项目:“新形势下我国科技创新治理体系现代化研究”(20&ZD074,2020—2025)
科技创新2030—“新一代人工智能”重大项目(2019AAA0105303,2020—2023)

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