企业创新活动的系统耦合效应研究

摘要/Abstract

摘要： 企业不同创新活动之间能够有效互动而形成新的、高一级的结构功能体，具有系统性创新提升作用，可称之为企业创新活动的系统耦合效应。然而，现有研究尚未对此进行深入分析探讨，缺少对作用机制的整体揭示与实证检验。本文从整体性结构出发，在理论阐释创新活动系统耦合的基础上，构建了包括中介的多重调节效应模型，并以中国新能源汽车企业样本进行实证分析。研究发现：企业创新活动的系统耦合存在整体结构性作用，既能直接提高创新效率，也能通过动态能力间接促进创新效率提高，且高环境不确定性会全面放大创新活动系统耦合效应。本研究深入了对企业创新活动协同关系的分析，增补了相关作用机制实证研究，研究结论对于我国企业提高创新效率亦具有启发意义。

关键词: 系统耦合效应, 企业创新系统, 动态能力, 环境不确定性

Abstract: Innovation performance is influenced by a variety of innovation activities. Scientific arrangement of innovation activities makes it effective to produce system effects, which becomes the key to improve the efficiency of innovation. However, existing research shows that the important role of collaboration with the validation of innovation activities is more based on the independence of different innovation activities and their linear structural relationship, and does not reveal the synergy of "1+1>2" very well. This paper puts forward the coupling effect of enterprise innovation system, starting from the integral structure of the close connection between the management innovation system and the technological innovation system, and carrying out theoretical revealing and empirical research on the synergy of enterprise innovation activities.
First of all, the theory from the perspective of system coupling explains the synergy of enterprise innovation activities, and describes it as the systematic innovation management process of management innovation system and technological innovation system through the interaction form of complementary advantages, interdependence, free operation and mutual integration, so as to improve the innovation efficiency of enterprises. Then, the mechanism of system coupling effect of enterprise innovation activities is deduced, and five theoretical hypotheses containing direct effect, indirect effect and regulation effect are put forward. Thus, the theoretical model is constructed, which takes the coupling degree of the innovation system as the explanatory variable, the innovation efficiency as the interpreted variable, the dynamic ability as the mediator, and the environmental uncertainty as the moderator. Finally, using the research data of 236 Chinese new energy automobile enterprises, the empirical test is carried out by using the Partial Least Squares -Structural equation modeling (PLM-SEM).
Through the above research work, the following conclusions are obtained: (1) innovation system coupling has a significant direct effect on innovation efficiency, so that it′s the key measure of enterprise efficient innovation; (2) innovation system coupling can indirectly promote innovation efficiency through dynamic capability, and in this process, the three dimensions of dynamic ability - perception, integration and reconstruction ability, almost play an equally important role, indicating that innovation system coupling is an important path for enterprises to make systematic response to changes in the external environment and balance to promote high-order capability; (3) Environmental uncertainty plays a regulatory role in the relationship between innovation system coupling and dynamic capability, that is, the higher the degree of environmental uncertainty, the more significant the impact of enterprise system innovation coupling on dynamic capabilities.
This study deepens the analysis of the synergy relationship of enterprise innovation activities, and uses the system coupling perspective to advance it from "combination effect" to "system effect" research. At the same time, the empirical research on the synergy of enterprise innovation activities is supplemented, which enriches the relevant role path and mechanism.
This study is also of practical significance for enterprises to improve innovation efficiency. The following revelations are mainly formed. Firstly, enterprises need to pay attention to the coupling between management innovation and technological innovation, in order to systematically think about the layout of innovative activities. Secondly, enterprises need to play a synergistic role in innovation activities, to actively cultivate dynamic capabilities. Thirdly, enterprises need to pay attention to the impact of environmental uncertainty, adjust and optimize innovation strategies in a timely manner, and choose innovative system coupling models to meet the needs of enterprise development.

Key words: system coupling effect, enterprise innovation system, dynamic ability, environmental uncertainty

石秀侯光明景睿王俊鹏. 企业创新活动的系统耦合效应研究[J]. 科研管理, 2021, 42(9): 52-60.

Shi Xiu, Hou Guangming, Jing Rui, Wang Junpeng. A study of the system coupling effect of enterprise innovation activities[J]. Science Research Management, 2021, 42(9): 52-60.

参考文献

[1] 张颖,顾远东,高杰.服务化与产品创新:环境不确定性的调节效应[J].科研管理, 2020, 41(4): 143-153.

ZHANG Ying，GU Yuandong，GAO Jie. Servitization and product innovation: The moderating role of environmental uncertainty[J].Science Research Management, 2020, 41(4): 143-153.

[2] CHOI S, JANG H, HYUN J. Correlation between innovation and performance of construction firms[J]. Canadian Journal of Civil Engineering, 2009, 36(11): 1722-1731.

[3] ROSENBUSCH N, BRINCKMAN J, Bausch A. Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs[J]. Journal of Business Venturing, 2011(26): 441-457.

[4] 侯建,陈恒,李丽,李奉书.高技术产业研发创新与非研发创新的异质门槛效应研究[J].管理学报, 2018, 15(03):392-398.

HOU Jian, CHEN Heng, LI Li, LI Fengshu. Research on the heterogeneity threshold effect of R&D innovation and non-R&D innovation in high-tech industry[J]. Chinese Journal of Management, 2018, 15(03):392-398.

[5] DAMANPOUR F,SZABAT K A, EVAN W M. The relationship between types of innovation and organization performance [J]. Journal of Management Studies, 2010, 26(6):587-602.

[6] CAMISÓN A, VILLAR-LÓPEZ C. Organizational innovation as an enabler of technological innovation capabilities and firm performance[J].Journal of Business Research, 2014, 67(1):2891-2902.

[7] LIAO S , LIU Z , ZHANG S . Technology innovation ambidexterity, business model ambidexterity, and firm performance in Chinese high-tech firms[J]. Asian Journal of Technology Innovation, 2018, 26(3): 325-345.

[8] 王喜刚. 组织创新、技术创新能力对企业绩效的影响研究[J]. 科研管理, 2016, 37(2):107-115.

WANG Xigang. The impact of organizational innovation and technological innovation capacity on firm performance[J].Science Research Management, 2016, 37(2):107-115.

[9] 张美丽,冯志山,樊养俭.转型背景下企业EBMI与ETI的匹配模式研究[J].科研管理, 2020, 41(8): 277-288.

ZHANG Meili, FENG Zhishan, FAN Yangjian. A research on the fit mode of EBMI and ETI under the background of transformation[J]. Science Research Management, 2020, 41(8): 277-288.

[10] TSAI K H. The impact of technological capability on firm performance in Taiwan’s electronics industry[J]. Journal of High Technology Management Research, 2004, 15(2):183-195.

[11] DAFT R L. A dual-core model of organizational innovation[J]. Academy of Management Journal, 1978, 21(2): 193-210.

[12] DRUCKER P F . The discipline of innovation[J]. Harvard Business Review,1998(9):13-15.

[13] 许庆瑞, 郑刚, 喻子达,等. 全面创新管理(TIM):企业创新管理的新趋势--基于海尔集团的案例研究[J]. 科研管理, 2003, 24(5):01-07.

XU Qingrui, ZHENG gang, YU Zida, et al. Towards total innovation management(TIM):The emerging new trend of innovation management--A case study of Haier Group [J]. Science Research Management, 2003, 24(5):01-07.

[14] 柳卸林.技术创新经济学.第2版[M].北京：清华大学出版社,2014:1-5.

LIU Yulin. Economics of technological innovation. 2nd Edition[M].Beijing:Tsinghua University Press, 2014:1-5.

[15] OECD. Oslo Manual-The measurement of scientific and technological activities: Proposed guidelines for collecting and interpreting technological innovation data[M]. Paris: Statistical Office of the European Communities Press, 2005:40-41.

[16] BIRKINSHAW J, HAMEL G,MOL M J. Management innovation[J].Academy of Management Review, 2008, 33(4): 825-845.

[17] DAMANPOUR F. Footnotes to research on management innovation[J].Organization Studies, 2014, 35(9): 1265-1285.

[18] OLBERDA H W V, BOSCH F A J V D, MIHALACHE O R. Advancing management innovation: Synthesizing processes, levels of analysis, and change agents[J].Organization Studies, 2014, 35(9): 1245-1264.

[19]曲冠楠、陈劲、梅亮. 有意义的创新:基于复杂系统视角的交互耦合框架[J]. 科学学研究, 2020, 38 (11): 141-150.

QU Guannan, CHEN Jin, MEI Liang. Meaningful innovation: A coupling framework based on the complex systems perspective[J]. Studies in Science of Science, 2020, 38 (11): 141-150.

[20] SCHLEGELMILCH B B, DIAMANTOPOULOS A, KREUZ P. Strategic innovation: The construct, its drivers and its strategic outcomes[J]. Journal of Strategic Marketing, 2003, 11: 117-132.

[21] JIANG H, ZHAO S, LI Z, et al. Interaction between technology standardization and technology development: A coupling effect study[J]. Information Technology and Management, 2016, 17(3): 229-243.

[22] BALLOT G, FAKHFAKH F, GALIA F, et al. The fateful triangle: Complementarities in performance between product, process and organizational innovation in France and the UK[J]. Research Policy, 2015, 44(1): 217-232.

[23]侯光明.面向中国创新发展实践的组织管理系统学构建思考[J].中国软科学,2018(7): 105-116.

HOU Guangming. Discussion on the construction of organizational management systematics based on China’s practice in innovational development[J]. China Soft Science Magazine,2018(7): 105-116.

[24] LIN Y, WU L Y. Exploring the role of dynamic capabilities in firm performance under the resource-based view framework[J]. Journal of Business Research, 2014, 67(3):407-413.

[25] ROBERTS P W, AMIT R. The dynamics of innovative activity and competitive advantage: The case of Australian retail banking, 1981 to 1995[J]. Organization Science, 2003, 14(2):107-122.

[26] 朱晓红, 陈寒松, 张腾. 知识经济背景下平台型企业构建过程中的迭代创新模式——基于动态能力视角的双案例研究[J]. 管理世界, 2019, (3):142-156.

ZHU Xiaohong,CHEN Hansong,ZHANG Teng. Iterative innovation in the construction of platform-based enterprises in the era of knowledge economy:A comparative case study from the dynamic capabilities perspective [J]. Management World, 2019, (3):142-156.

[27] MILLER D, FRIESEN P H. Innovation in conservative and entrepreneurial firms: Two models of strategic momentum[J]. Strategic Management Journal, 1982, 3(1):1-25.

[28] TEECE D J.Dynamic capabilities: Routines versus entrepreneurial action[J].Journal of Management Studies, 2012, 49(8):1395-1401.

[29] WANG C L, AHMED P K. Dynamic capabilities: A review and research agenda[J]. International Journal of Management Reviews, 2010, 9(1):31-51.

[30] 简兆权,王晨,陈键宏.战略导向、动态能力与技术创新:环境不确定性的调节作用[J].研究与发展管理, 2015, 27(2):65-76.

JIAN Zhaoquan, WANG Chen, CHEN Jianhong. Strategic orientation,dynamic capability and technological innovation: Moderating role of environmental uncertainty[J]. R＆D Management, 2015, 27(2):65-76.

[31] DRNEVIH P L, KRIAUCIUNAS A P. Clarifying the conditions and limits of the contributions of ordinary and dynamic capabilities to relative firm performance[J]. Strategic Management Journal, 2011, 32(3): 254-279.

[32]GUNDAY G, ULUSOY G, LILIC K, et al. Effects of innovation types on firm performance[J]. International Journal of Production Economics, 2011, 133(2):662-676.

[33] 陈元志,陈劲,吉超.中国不同类型企业技术创新效率的趋势与比较[J].科研管理,2018, 39(5): 01-10.

CHEN Yuanzhi, CHEN Jin, JI Chao. A comparison of the technical innovation efficiency of different types of enterprises in China[J]. Science Research Management,2018, 39(5): 01-10.

[34]陈春花,宋一晓,朱丽. 不确定性环境下组织转型的4个关键环节——基于新希望六和股份有限公司的案例分析[J].管理学报, 2018, 15(1):01-10.

CHEN Chunhua, SONG Yixiao, ZHU Li. Four key points of organizational transformation in uncertain environment: Based on case study of New Hope Liuhe's transformation [J]. Chinese Journal of Management, 2018, 15(1):01-10.

[35] LOWRY P B, GASKIN J. Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it[J]. IEEE Transactions on Professional Communication, 2014, 57(2):123-146.

[36] HAIR J F, RINGLE C M, SARSTEDT M. PLS-SEM: Indeed a silver bullet[J]. Journal of Marketing Theory & Practice, 2011, 19(2):139-152.

[37] PODSAKOFF P M, MACKENZIE S B,PODSAKOFF N P, et al. The mismeasure of management and its implications for leadership research[J]. Leadership Quarterly, 2003, 14(6):615-656.

[38] FALK R F，MILLER N B．A primer for soft modeling[J]. University of Akron Press, 1992:104-121.

[39] EFRON B, TIBSHIRANI R. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy: comment[J]. Statistical Science, 1986,1(1):54-75.

[40] HENSELER J, RINGLE C M, SINKOVICS R R. The use of partial least squares path modeling in international marketing[J]. Social Science Electronic Publishing, 2009, 20(4):277-319.

[41] 卢启程,梁琳琳,贾非.战略学习如何影响组织创新——基于动态能力的视角[J].管理世界, 2018, 34(09): 109-129.

LU Qicheng, LIANG Linlin, JIA Fei. Strategy learns how to influence organizational innovation——A dynamic capability-based perspective [J]. Journal of Management world, 2018, 34(09): 109-129.