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| Multiple Paths to Improve the Creational and Original Capacity Improvement of Intelligent and Connected Vehicle Industry:Configuration Analysis Based on Tentative Governance Framework |
| Sun Daming1,Hu Sumin1,Dong Kun2 |
| (1. School of Business, Suzhou University of Science and Technology, Suzhou 215009, China;2.School of Economics and Management, Dalian University of Technology, Dalian 116024, China) |
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Abstract In the digital economy, intelligent connected vehicles (ICV) are a typical representative of the deep integration of the new generation of information technology and the automotive industry. Improving creational and original capacity (COC) is of key significance for exploring the digital transformation of emerging industries and coping with the impact of industrial technological change in the era of the digital economy . However, characterized by cutting-edge technology development and a high level of digitization in the COC enhancing process, the ICV industry is prone to multiple risks. As such, it is urgent to find new suitable policy means to guide the industry's development and respond to potential risks.#br#The rise of tentative governance has provided a new channel for enhancing the innovation strategy capability of the ICV industry. Tentative governance is a cutting-edge theory in the field of technological governance with the aim to address emerging technological fields and overcoming governance challenges through dynamic adjustment and continuous exploration. In view of this, the paper uses tentative governance theory to explore the combination effect and linkage mechanism of diversified governance niches on the improvement of innovation strategy capability in the ICV industry from a holistic perspective.#br#This paper takes the ICV industry in the Yangtze River Delta urban agglomeration as a research sample, and within the framework of exploratory governance theory, it selects four governance niches, including resource allocation, legitimacy, knowledge development, and market formation, to explore their intoxicating effect on improving the innovation strategy capacity of the intelligent connected industry. Specifically, the entropy weight TOPSIS method is used to measure innovation source capacity, text qualitative analysis is used to obtain governance niches, and fuzzy set qualitative comparative analysis (fsQCA) is used to identify the linkage effects and multiple paths to improve innovation source capacity.#br#The results show that, first, the COC of the ICV industry in the Yangtze River Delta urban agglomeration is on the rise, and the growth trend has been significant since 2015. To be specific, the growth trend of new scientific discoveries and new industrial directions is higher than the overall level of strategic capacity, with solid basic research and a clear development direction. Second, there are five key paths for a higher COC in the ICV industry, which can be summarized into three adaptation modes: strategic legitimacy, digital drive, and full dimensional collaboration. Among them, government digital technology support plays a universal role in high innovation policy source capabilities, and all sample cities adopt this policy tool. Third, there are significant differences in the improvement paths of resource planning capabilities at different levels. In areas with leading technologies, governmental support for digital technology and related research and development activities is a necessary condition, and the improvement of industrial ecology and innovation resource support can effectively drive the development of the intelligent connected vehicle industry. In areas with advanced technologies, support for innovative resources and R&D activity is an important factor driving the development of the intelligent connected vehicle industry, forming a resource-driven and knowledge-driven model. In underdeveloped areas, there is only one configuration path, i.e., a resource-driven path.#br#The marginal contribution of this paper lies in four aspects. At first, it effectively identifies the connotation and dimensional characteristics of COC, and thus expands the research content and adaptation scope of industrial innovation theory; second,the innovative introduction of exploratory governance theory provides a new explanatory framework for enhancing COC,breaks through the narrow governance perspective of only focusing on a single policy behavior, and helps to promote the stable development of emerging technology industries; in terms of experience, the use of fsQCA method effectively solves the problem of linkage matching and path selection of diverse government governance niches, and promotes the comprehensive realization of modernization of government governance. Meanwhile, due to data limitations, this paper only focuses on governance niches presented in the form of policy tools. In the future, attempts will be made to expand the selection of antecedents and conditions so as to more accurately and comprehensively reveal the multiple paths for improving the innovation policy capacity of the intelligent connected vehicle industry.#br#
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Received: 26 October 2022
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