This study starts from the perspective of organizational culture and combines the characteristics of the policy environment based on the background of China’s institutional transition. First, it integrates the external policy factors for enterprises with the internal innovation culture factors to build an integrated analysis framework to understand the differences in enterprise innovation performance. Second, 42 enterprises in Chongqing City and Jiangsu Province are analyzed by using configuration thinking and fuzzy-set qualitative comparative analysis, while the multiple concurrent factors and causal complex mechanisms affecting enterprise innovation are discussed. The results are as follows: (1) Single policy environment factor or organizational innovation culture factor cannot effectively stimulate enterprise innovation, so it is necessary to jointly influence innovation performance in interactive matching. (2) The innovation model with the interaction between the policy environment and the organizational innovation culture is the best choice for enterprises to achieve innovation incentives, and there are two types of innovation models that produce high innovation performance, namely the value-oriented model and the internal and external collaborative model. Among them, the internal and external collaborative model plays a more important role in the improvement of enterprise innovation performance than the other. (3) There is one type of model that produces non-high innovative performance, and it is not in opposition to the two types of innovation models that produce highly innovative performance. In other words, the non-high innovative performance model cannot be used to derive the reasons for high innovation performance in a reverse way. This study contributes to the extant literature in three aspects: First of all, the conclusion expands the innovation perspective of the policy environment and organizational culture matching, opens the “black box” of the process of policy incentive transmission to the organization, helps to solve the dilemma of failure of innovation policy incentive from the micro-level, and also enriches the discovery of organizational culture theory at the environmental level. Secondly, from the perspective of configuration, various modes to improve innovation performance are found, as well as the interdependence among various antecedent conditions. Finally, the asymmetry between configuration and condition enhances the explanatory power of innovation phenomenon, and makes up for the defect of the extant literature that cannot be applied to the explanation of innovation failure. Generally speaking, while revealing the linkage and matching relationships between policy conditions and organizational innovation culture on the circumstance of China’s economical transitions, it not only helps researchers to fully understand the interdependence and causal complexity of enterprise innovation, but also provides ideas and solutions for managers to effectively use internal and external resources to stimulate innovation.
/ Journals / Foreign Economics & Management
Foreign Economics & Management
LiZengquan, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
YinHuifang HeXiaogang LiuJianguo, Vice Editor-in-Chief
Impact of Political and Cultural Configuration on Enterprises’ Innovation: A Study Based on fsQCA Approach
Foreign Economics & Management Vol. 42, Issue 12, pp. 89 - 103 (2020) DOI:10.16538/j.cnki.fem.20200821.401
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References
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[1] Bai Xuyun, Wang Yanyu, Su Xin. R&D subsidies or tax incentives: An empirical analysis of government intervention on enterprise innovation performance and innovation quality [J]. Science Research Management, 2019, (6): 9-18.
[2] Rihoux B, Ragin C C. Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related Techniques [M]. Translated by Du yunzhou, Li yongfa, et al. China Machine Press, 2017.
[3] Chen Chunhua, Le Guolin, Lin Jiefang, et al. Corporate Culture [M]. Beijing: China Machine Press,2018.
[4] Chen Hong, Zhang Yu, Liu Dongxia. Government Subsidies, Tax Breaks and Enterprise`s In- novation Performance: An Empirical Study on Different Life Cycle Stages [J]. Nankai Business Review, 2019, (3): 187-200.
[5] Chen Qiangyuan, Lin Sitong, Zhang Xing. The Effect of China’s Incentive Policies for Technological Innovation:Incentivizing Quantity or Quality [J]. China Industrial Economics, 2020, (4): 79-96.
[6] Chen Xiangdong, Hu Ping. Empirical study on innovation policy performance in China [J]. Studies in Science of Science, 2004,(1):108-112.
[7] Du Yunzhou,Jia Liangding. Configruation perspective and qualitative compative analysis: A new way to management study [J]. Management World,2017,(6):155-167.
[8] Gu Yuandong, Zhou Wenli , Peng Jisheng . Study on Influencing Mechanism of Perceived Organizational Support on R&D Staffs' Innovative Behaviors [J]. Chinese Journal of Management,2014,(4):548-554.
[9] Guo Jie, Qi Yangzong. Empirical study of the public policy and technology innovation performance in China western national regions [J]. Science Research Management,2017,(S1):550-557.
[10] Hu Wanli. Research on measuring tools of knowledge employees' willingness to innovate: development, refinement and test of the scale [J]. Science & Technology Progress and Policy,2013,(1):140-145.
[11] Li Chenguang, Zhang Yong'an. Study on Cluster Innovation and Technology Policy with Utility-Response Mechanism [J]. Forum on Science and Technology in China,2012,(10):24-30.
[12] Li Chenguang, Zhang Yong'an, Wang Yanni. The Influence of Policy Perception and Decision-Making Preferences on Intention of Innovation Policy Response [J]. Science of Science and Management of S.& T.,2018,(5):3-15.
[13] Li Ying , Zhao Wenhong , Zhou Mi. The Impact of Government Support and Entrepreneurial Orientation on Innovation Performance of Entrepreneurial Firms [J]. Chinese Journal of Management,2018,(6):847-855.
[14] Su Jingqin, Geng Yan. Study on the Transformation Mechanism of Innovation Intention into Innovation Behavior Under the Effect of Policy [J]. Science of Science and Management of S.& T.,2014,(5):27-34.
[15] Wang Chenggang, Shi Chunsheng. A research on the effect mechanism of organizational culture on organizational innovation ,2018,(7):78-84.
[16] Wang Jinfeng, Wu Ruiqiang, Feng Lijie , et al. Mechanism Study on Innovative Climate,Staff Innovation Willingness and Innovative Performance —Empirical Analysis of High-tech Enterprises[J]. Research on Economics and Management,2017,(9):127-136.
[17] Wei Jiang, Wang Shixiang, Yang Yang . Which Environment to Be Isomorphism With? Responses of Sino-MNCs' Foreign Subsidiaries to Institutional Duality[J]. Management World,2016,(10):134-149.
[18] Xu Guangping, Zhang Jinshan, Du Yunzhou. The Impact of Environmental and Organizational Configuration on Corporate Entrepreneurship: A Fuzzy-Set Qualitative Comparative Analysis [J]. Foreign Economics & Management,2020,(1):3-16.
[19] Yang Baiyin, Lian Xin, MA Yueting. Development of an Instrument Measuring Innovative Climate in Chinese Organizations [J]. Science of Science and Management of S.& T.,2013,(8):43-55.
[20] Yang Fu, Zhang Lihua. The Impact of Cognitive Style on Innovative Behavior: The Moderating Role of Team Psychological Safety and Work Unit Structure [J]. Nankai Business Review,2012,(5):13-25.
[21] Zeng Ping, Wu Qihong, Lan Hailin. Whether the Government Innovation Support Policies Work? Evidence from Enterprises in Pearl River Delta [J]. Science of Science and Management of S.& T.,2014,(4):10-20.
[22] Zhang Yong'an, Geng Zhe, Wang Yanni. China's Regional Science and Technology Innovation Policy: A Mechanism Based on Multiple Agent of Complex Adaptive Systems Theory [J]. Science of Science and Management of S.& T.,2015,(10):32-40.
[23] Zheng Ye, Wu Jiannan. How Does Government Supportive Behavior Promote SMEs Innovation Performance? A Multiple-Case Study on the Grounded Theory [J]. Science of Science and Management of S.& T.,2017,38(10):41-54.
[24] Zhou Haitao , Zhang Zhengang. The Effects of Different Ways of Government R&D Investment on Enterprise Innovation Investment and Performance [J]. Chinese Journal of Management,2015,(12):1797-1804.
[25] Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior[M]. Englewood Cliffs, NJ: Prentice-Hall, 1980.
[26] Berson Y, Oreg S, Dvir T. CEO values, organizational culture and firm outcomes[J]. Journal of Organizational Behavior,2008, 29(5): 615-633.
[27] Bowman E H, Hurry D. Strategy through the option lens: An integrated view of resource investments and the incremental-choice process[J]. Academy of Management Review,1993, 18(4): 760-782.
[28] Brettel M, Cleven N J. Innovation culture, collaboration with external partners and NPD performance[J]. Creativity and Innovation Management,2011, 20(4): 253-272.
[29] Fiss P C. A set-theoretic approach to organizational configurations[J]. Academy of Management Review,2007, 32(4): 1180-1198.
[30] Gregory B T, Harris S G, Armenakis A A, et al. Organizational culture and effectiveness: A study of values, attitudes, and organizational outcomes[J]. Journal of Business Research,2009, 62(7): 673-679.
[31] Hogan S J, Coote L V. Organizational culture, innovation, and performance: A test of Schein’s model[J]. Journal of Business Research,2014, 67(8): 1609-1621.
[32] Homburg C, Pflesser C. A multiple-layer model of market-oriented organizational culture: Measurement issues and performance outcomes[J]. Journal of Marketing Research,2000, 37(4): 449-462.
[33] Li H Y, Atuahene-Gima K. Product innovation strategy and the performance of new technology ventures in China[J]. Academy of Management Journal,2001, 44(6): 1123-1134.
[34] Linton G, Kask J. Configurations of entrepreneurial orientation and competitive strategy for high performance[J]. Journal of Business Research,2017, 70: 168-176.
[35] Martín-de Castro G, Delgado-Verde M, Navas-López J E, et al. The moderating role of innovation culture in the relationship between knowledge assets and product innovation[J]. Technological Forecasting and Social Change,2013, 80(2): 351-363.
[36] O’Reilly C. Corporations, culture, and commitment: Motivation and social control in organizations[J]. California Management Review,1989, 31(4): 9-25.
[37] O’Reilly III C A, Chatman J, Caldwell D F. People and organizational culture: A profile comparison approach to assessing person-organization fit[J]. Academy of Management Journal,1991, 34(3): 487-516.
[38] Pfeffer J, Salancik G R. The external control of organizations. A resource dependence perspective[M]. New York: Harper & Row, 1979: 23.
[39] Ragin C C. Redesigning social inquiry: fuzzy sets and beyond[M]. Chicago: University of Chicago Press, 2008.
[40] Schein E H. Organizational culture and leadership[M]. 2nd ed. San Francisco: Jossey-Bass, 1992.
[41] Schneider C Q, Wagemann C. Set-theoretic methods for the social sciences: A guide to qualitative comparative analysis[M]. Cambridge: Cambridge University Press, 2012.
[42] Thornberry D M. Fostering a culture of innovation[J]. Proceedings of the United States Naval Institute,2003, 129(4): 44-48.
Zhang Y, Li H Y. Innovation search of new ventures in a technology cluster: The role of ties with service intermediaries[J]. Strategic Management Journal,2010, 31(1): 88-109.
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Shi Shengping, He Xinyue, Yang Gang, et al. Impact of Political and Cultural Configuration on Enterprises’ Innovation: A Study Based on fsQCA Approach[J]. Foreign Economics & Management, 2020, 42(12): 89-103.
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