At present, digital monopoly has become a focus topic in the world, which is directly related to the monopoly of digital giants represented by Amazon, Google and Apple. In order to achieve and consolidate their monopoly position, digital giants reaping monopoly profits through the control of economic capital on science, the infiltration of political power on science, the abuse of pure scientific capital, and the elaborate shaped advantage of cultural capital. This paper tries to use Bourdieu's "field" theory to uncover the "veil" of digital monopoly in the United States, and puts forward some ideas to solve the problem of digital monopoly.
Metaphor plays an important role in the narrative of synthetic biology. On one hand, metaphor helps people understand the complex disciplinary connotations involved in synthetic biology with figurative language and schema. On the other hand, due to the characteristics of metaphor, it is easy to cause misunderstandings, which in turn affects the public's value judgement on synthetic biology. Based on the interpretations on metaphor theory, this paper analyzes the positive and negative effects of metaphor on the public perception and value judgement on synthetic biology, and points out that it is the gap between the use and interpretation of metaphor that leads to the biased value judgement. It helps people to use metaphor prudently in the propagation of science and technology by noticing the dual roles of metaphor in the narrative of synthetic biology.
Employment is the biggest livelihood in China. It is China's established strategic policy to achieve fuller and higher quality employment. Based on the balanced panel data of China Family Panel Studies from 2016 to 2018, using the binary logit regression model, this study investigates the impact of the application of information technology on the high-quality employment of labor force, and carries out robustness test and heterogeneity analysis. Combined with China's retirement policy and the current social situation, the research object is limited to the labor force group aged 16 - 59. Excluding invalid samples such as 15 years old and below, 60 years old and above, extreme values and missing values, there are 2358 valid samples of CFPS balanced panel data from 2016 to 2018, with a total of 4716 observations. The research shows that the application of information technology promotes the transfer of labor force to high-end service industry, inhibits the employment of manufacturing industry, and is conducive to the realization of high-quality employment. The application of information technology has no significant impact on the labor force engaged in the primary industry. Morever, the application of information technology improves the possibility of labor force engaging in information and financial industry, and has no significant impact on whether labor force is engaged in leasing, business and science and technology service industry. Besides, individual heterogeneity analysis shows that information technology application has a stronger effect on unmarried, city registered residence and highly educated female labor force in high-end service industry than male. The application of information technology promotes the young labor force to engage in high-end service industry. The effect intensity of the application of information technology on different skilled labor forces engaged in high-end service industry is high skilled labor force, medium skilled labor force and low skilled labor force. In order to promote higher quality employment of the labor force, steadily develop cutting-edge information technologies such as 5G, cloud computing, blockchain, big data technology, industrial Internet of things and artificial intelligence, adhere to the new development concept of "innovation, coordination, green, openness and sharing", promote high-quality economic development, and provide technical support and economic guarantee for high-quality employment. Vigorously develop education, appropriately expand the scale of vocational education, and improve the education level of the labor force. We will strengthen vocational skills training for the labor force, build a team of craftsmen in the new era, and enhance the application ability of information technology. We will improve employment service policies and carry out personalized employment assistance according to the endowment differences of labor forces of different genders, ages and skills, so as to be targeted and improve the efficiency of the use of assistance funds. We will actively cultivate emerging industries, continue to increase the proportion of employment in the service industry, actively guide the transfer of surplus labor to emerging service industries, and further optimize the employment structure. For the individual labor force, it is particularly important to strive to improve the comprehensive quality, improve the level of human capital, give full play to the advantages of age, and enter the high-end service industry as soon as possible.
What role smart city construction has played, especially what impact it has on micro enterprises, is an issue that must be paid attention to in the practice and development of smart city, which needs empirical test. Based on the data of A-share listed companies, this paper uses the Time-varying Difference-In-Difference method to test the role of smart city construction on the development of enterprises characterized by total factor productivity. It is found that: (1) the growth of total factor productivity of enterprises in pilot cities is significantly higher than that in non-pilot cities, which confirms the role of smart city construction in promoting total factor productivity of enterprises and denies the "Solow paradox"; (2) The effect of smart city construction on the improvement of total factor productivity of enterprises has been increasing over time, and the promotion effect on enterprises in the eastern region is stronger. The stimulation effect on private enterprises is better than that of state-owned enterprises, and can narrow the gap of initial efficiency among enterprises; (3) Smart city construction promotes the improvement of enterprise total factor productivity by enhancing enterprise technological innovation and improving resource allocation efficiency. Further research from the perspective of technological innovation shows that the impact effect is heterogeneous at different stages of the industrial life cycle. This study provides an empirical test for the impact of smart city construction on micro enterprises, and explains the role of smart city development in promoting enterprise total factor productivity.
As an important driving force for the transformation and upgrading of manufacturing industry, producer services have become an important engine to promote the high-quality development of China's economy. This paper selects the panel data of 278 cities in China from 2005 to 2018 to empirically test the specific path of producer services agglomeration to improve the efficiency of urban green economy. It is found that: (1) producer services agglomeration can significantly promote the efficiency of urban green economy, and there is a spatial spillover effect. Producer services agglomeration is not only conducive to the improvement of green economic efficiency of the city itself, but also has a positive effect on adjacent cities through spatial spillover, but the spatial effect is less than the direct effect. However, the continuous agglomeration of producer services in cities may siphon off neighboring cities, resulting in negative spatial spillover effect, which is not conducive to the improvement of green economic efficiency. (2) Producer services agglomeration can affect the efficiency of urban green economy through three paths: industrial productivity, knowledge stock and market environment, but there is heterogeneity. Producer service agglomeration has significant direct effect and spatial spillover effect on the improvement of industrial productivity, that is, producer service agglomeration will not only improve the industrial productivity of the city itself, but also drive the industrial productivity of adjacent cities through spatial spillover. Producer services agglomeration can also play a positive role in urban green economic efficiency by affecting industrial productivity, that is, industrial productivity plays a positive intermediary effect. Producer services agglomeration is conducive to the increase of urban knowledge stock and the improvement of market environment, and there is a positive spatial spillover effect. That is, producer services agglomeration is conducive to the increase of knowledge stock and the improvement of market environment in adjacent cities. However, considering the intermediary effect, these two channels do not play a promoting role. The reason may be that the role of these two channels in the process of producer service agglomeration affecting urban green economic efficiency may have nonlinear characteristics. (3) There is a double threshold between the two intermediary effects of knowledge stock and market environment, and they show the ladder characteristics of “from inhibition to promotion, from weak to enhancement” in regulating the agglomeration of producer services and the efficiency of green economy. Only when the knowledge stock and market environment cross a certain threshold, the positive promotion effect of the two action paths will appear. The reason is that only when the urban human capital level is high and the market environment is relatively perfect, it is more conducive to the positive externalities brought by the agglomeration of producer services, which will eventually have a positive impact on the efficiency of urban green economy by accelerating R&D innovation and improving market competition. This study not only examines the specific impact path of producer service agglomeration on urban green economic efficiency, but also confirms the existence of threshold effect and spatial effect, which provides a theoretical basis and policy enlightenment for cities to formulate differentiated producer service agglomeration policies and promote the improvement of green economic efficiency.
The causal inference of transformable patent characteristics is the key to the cultivation, pre-evaluation and identification of high-value patents. The number of patents granted in China is increasing, but the number of transformable patents is small and the problem of low conversion rate still remains serious. This paper constructs a TOE framework that affects patent transferability from three dimensions, including technology(T), organization(O), and environment(E). Then we use LASSO and entropy method to screen and integrate multi-dimensional characteristics. Based on the TOE framework, the 16 features were synthesized according to the secondary dimensions of patent value, text features, organizational cooperation, organizational strength, and supply environment. Five comprehensive conditions for causal inference of transformable patent features were obtained. We combine NCA and fsQCA to explore the necessary conditions and key configurations of patent transferability, and reveal the driving modes and internal mechanism of the formation of transformable patents. fsQCA makes reasonable explanations for the complex reasons leading to specific results by dealing with the complex interaction between multiple antecedents. However, fsQCA can only identify whether a certain condition is a necessary condition for patent transformation. It cannot reflect the necessary degree of the condition for the result. NCA method can make up to its shortcomings. It can identify the necessary conditions while analyzing the necessary degree of their impact on the results. Meanwhile, NCA can be performed on each condition separately, so that the effect size of the necessary conditions is not affected by other conditions in the model. Therefore, we combine fsQCA and NCA to conduct causal inference research.
Based on the empirical research on data in the field of fuel cells, we found that: (1) Patent value and organizational strength are necessary conditions for patent transformation, but the influence of necessity is small. It indicates that the formation of transformable patents is the result of complex interaction among multiple characteristic conditions, rather than a single characteristic condition. (2) The formation of transformable patents can be summarized into three driving modes: patent value and organizational strength hybrid driving mode, patent value and organizational cooperation hybrid driving mode, and organizational strength driving mode. The causal relationship between patent multi-dimensional characteristics and transferability has the characteristics of multiple concurrency and multiple solutions equivalent. (3) Based on the results of configuration analysis, we construct a CDEF mechanism model for the formation of transformable patents, that is: satisfying various technical requirements is the fundamental reason for achieving high patent transferability. The complex interaction of the three core conditions of high patent value, strong organizational strength, and multi-organizational cross-border cooperation, as well as the two auxiliary conditions of text characteristics and supply environment, constitutes diverse paths for the formation of transformable patents.
On the one hand, this study reveals the internal mechanism and driving modes of the formation of transformable patents, which provides support for exploring the cultivation strategies of transformable patents. On the other hand, it expands the application of TOE framework in explaining "causal complexity", and provides an explanatory theoretical basis for the identification of transformable patents based on machine learning.
China's high-end product manufacturing and technological innovation are facing a prominent "neck" dilemma. Major scientific and technological projects under the background of the new national system are an important organization and implementation mechanism for breaking through the "neck" technology with Chinese characteristics and comparative advantages. Aiming at the research problem of "how to break through the technical dilemma of 'stuck neck' through major scientific and technological projects", this paper takes Beidou system, a major scientific and technological project, as the research object, and takes three "stuck neck" technologies of Beidou-1 system, on-board atomic clock and GNSS satellite navigation chip as embedded cases. The study found that major scientific and technological projects have strong situational inclusiveness in breaking through the "bottleneck". As an organization and implementation mode of a new national system, in the process of breaking through the "bottleneck", such as technology identification, innovation strategy selection, R & D investment, technology catch-up opportunity creation and technology industrialization, Through the effective organization and allocation of technological innovation resources and the innovation management system and operation mechanism, we can play a role in targeted technological innovation management.
The rapid popularization of digital technology has brought great changes to the internal and external environment of enterprises. At this stage, enterprises urgently need to build dynamic capabilities to cope with the dynamic changes of the internal and external environment. As late-developing enterprises with backward technology, management and market, how to build dynamic capabilities through the co-evolution of technology, management and market capabilities has become the key for late-developing enterprises to deal with digital challenges at the present stage. Based on this, this study adopts the method of case study, taking Huawei Company of China as the research object, by tracking the technological learning, managerial learning and market expansion in the process of catch-up of Huawei, to explore the co-evolution mechanism of its management capability, technical capability and marketing capability. It is found that, first of all, the co-evolution of “management-technology-market” capability promotes late-developing enterprises to form dynamic capabilities to cope with environmental shocks, in which management capabilities provide management basis for the accumulation of technology and marketing capability, then, technology provides a product basis for the accumulation of marketing capabilities, and marketing capabilities have a resource-feeding effect on the technology and management capabilities of late-developing enterprises. Secondly, technological learning, managerial learning and market expansion are important channels for late-developing enterprises to acquire and improve their technology, management and marketing capabilities. Finally, at different catch-up stages, the capability accumulation of late-developing enterprises depends on differentiated technological learning, managerial learning and market expansion strategies. The catch-up process of the case enterprise shows that the case enterprise realizes the co-evolution of three-dimensional capability and sustained catch-up through technological learning, managerial learning and market expansion. Specifically, the stage evolution characteristics of its technological learning action are as follows: technological learning caused by product imitation, technological learning caused by product improvement, technological learning caused by technology application and promotion, and technological learning caused by global innovation network. The stage evolution characteristics of its managerial learning action are as follows: product quality improvement-oriented managerial learning, organizational (institutional) construction-oriented managerial learning, process improvement-oriented managerial learning, and process integration-oriented managerial learning. The stage evolution characteristics of its market experience accumulation are as follows: the experience accumulation from the low-end market, the experience accumulation from the middle-and high-end market, the experience accumulation from the international mid-and low-end market, and the experience accumulation from the international high-end market. For the late-developing enterprises to formulate the catch-up strategy at the present stage, the main management implications of this study are as follows: first, in response to the dynamic environment under the digital environment, late-developing enterprises should pay attention to promoting the co-evolution of multi-dimensional capabilities; secondly, for different catch-up stages, late-developing enterprises should formulate corresponding strategies to improve their management, technology and marketing capabilities according to the characteristics of their stages. Finally, late-developing countries should provide domestic enterprises with supporting policies that contribute to the co-evolution of their multi-dimensional capabilities, and promote late-developing enterprises to achieve the co-evolution of management, technology and marketing capabilities, so as to comprehensively promote late-developing enterprises to achieve sustained catch-up.
In recent years, frequent incidents of data safety such as big data acquaintance and privacy leaks have ed the industry and academia to reflect on how corporate uses data rationally and use data to do good things. Corporate data for good has become a new field with great research potential and research value. This research first clarifies the concept of corporate data for good, divides it into two dimensions: responsible use of data and data philanthropy, and reviews basic theories such as corporate social responsibility, resource-based view, responsible research and innovation, public goods. On this basis, this research develops corporate data for good scale, and finally put forward five major topics for future research on corporate data for good. This research greatly enriches and expands the theoretical research of corporate data for good, and also holds the torch for future research on corporate data for good. It has inspiring significance for the academic community to pay attention to the topic of corporate data for good, and has enlightening significance for the industry to implement data for good for the benefit of society.
The emergence of academic entrepreneurship is the inevitable result of the expansion of university basic research to the field of industrial technology. It has become an important path for developed countries to build core competitiveness. However, the existing research generally regards the technological learning at the academic entrepreneurship laboratory as the whole of technological learning system, and fails to understand the internal mechanism and general outline of academic entrepreneurship technological learning. By analyzing the technological learning process of academic entrepreneurship, this paper finds that the technological learning system of academic entrepreneurship is composed of the "learning by doing" learning subsystem at the laboratory end and the "learning by using" learning subsystem at the user end. The two subsystems are different, complementary and irreplaceable, and together constitute the innovation and iteration mechanism of circular feedback. Moreover, the academic entrepreneurship team's leading and controlling the "learning by using" subsystem will effectively improve the innovation iteration efficiency, and the government provide new technological scenarios in a targeted and organized way, which will effectively promote the academic entrepreneurship team to achieve independent innovation and development.
Enterprises are faced with many challenges to achieve sustainable development through entrepreneurial opportunity iteration. How to use user experience to promote benign iteration of entrepreneurial opportunity is crucial to enhance enterprise competitiveness. However, the existing literature lacks in-depth exploration on the mechanism of user experience on entrepreneurial opportunity iteration. This paper takes Xiaomi Technology Co., LTD as the research object, and uses the single case study method of grounded theory coding to explore the relationship between user experience, stakeholder consensus and entrepreneurial opportunity iteration. It is found that entrepreneurial opportunity iteration is a continuous process composed of iterative motivation, iterative implementation and iterative results. User experience is the core element throughout the whole process of entrepreneurial opportunity iteration. Stakeholder consensus is the moderating factor of the effect of user experience on entrepreneurial opportunity iteration. The research results enrich the theoretical connotation of user experience, stakeholder consensus and entrepreneurial opportunity iteration, and provide theoretical basis and practical inspiration for incumbent enterprises and start-ups to conduct entrepreneurial opportunity iteration.
With the rapid development of cloud computing, Internet of Things, big data, block chain and artificial intelligence, digital platforms employ various incentives to attract a large number of entrepreneurs and customers, forming a digital platform ecosystem. There are a variety of small enterprises in the digital platform ecosystem, also known as platform-dependent entrepreneurs, which utilizes digital Platform resources to provide customers with a wide variety of products or services. The network effect and winner-takes-all effect of platform leaders cause platform-dependent entrepreneurs to constantly face role conflicts in the process of platform evolution, and the role conflicts of entrepreneurs are bound to affect the performance of platform-dependent new ventures. Platform-dependent new ventures need knowledge-based key capabilities to do more with less resources to mitigate the negative impact of digital platform evolution. However, few literatures have explored the moderating effect of platform-dependent new ventures' unique knowledge-based capabilities on the relationship between entrepreneur role conflict and the performance of platform-dependent new ventures. Therefore, on the basis of the theory of knowledge management, value creation-possession and network effects, this paper based on absorptive capacity, appropriation capability, and managerial capability to explore the regulation role of knowledge ability between role conflict of the entrepreneurs on the performance of platform-dependent new ventures, in order to provide theoretical guidance for platform peers start-up companies to grow. Based on 308 questionnaires and using SPSS25.0 and Mplus8.0 software, this study explores the impact of entrepreneur role conflict on the performance of platform-dependent new ventures, and explores the moderating effect of knowledge-based key capabilities. It is found that there is a negative correlation between entrepreneur role conflict and new venture performance. Absorptive capacity positively moderates the negative correlation between entrepreneur role conflict and the performance of platform-dependent new ventures. Appropriation capability positively moderates the negative correlation between entrepreneur role conflict and the performance of platform-dependent new ventures. Managerial capability positively moderates the negative correlation between entrepreneur role conflict and the performance of platform-dependent new ventures. The age of platform-dependent start-ups has a positive impact on the performance of platform-dependent new ventures. The conclusion of this study provides theoretical guidance for the healthy growth of platform-dependent new ventures. Firstly, there is asymmetric power and information between the platform owner and the many entrepreneurs on the platform. The growth risks of entrepreneurs stem from the lock-in effect of platform owners. Typically, the controlled degree is continually increasing as the platform becomes more dominant in the market. Secondly, the three kinds of knowledge-based key capabilities enhance the knowledge resource base of platform-dependent new ventures. The three kinds of knowledge-based key capabilities also improve the ability of entrepreneurs to balance between role conflict and the performance of platform-dependent new ventures. The three kinds of knowledge-based key capabilities could gain market competitive advantage by overcoming organizational inertia and destroying institutional inertia. Thirdly, Entrepreneurs of new ventures need to adopt various forms such as cross-department meetings and special meetings to cultivate their knowledge-based capabilities, in order to enhance their strategic flexibility, promote their business model innovation, and achieve the perfect combination of capabilities and innovation.
Based on the data of 271 cities at prefecture level and above in China from 2013 to 2018, this paper constructs the city-level digital economy development index of China, and empirically tests the fact and mechanism of digital economy driving innovation development. It is found that digital economy can significantly promote regional innovation development, and this conclusion still holds after a series of robustness tests. The driving effect of digital economy on practical and exterior innovation is significantly stronger than that on invention innovation, and the innovation effect of digital economy has significant structural characteristics. Knowledge flow plays a significant mediating role in regional innovation development driven by digital economy, and the mediating effect of different types of innovation is different to some extent. The innovation effect of digital economy has significant regional differences. The innovation effect of digital economy in developed cities is significantly higher than that in backward cities. The mediating effect of knowledge flow in same-level cities is significantly higher than that in cross-level cities, and the mediating effect of knowledge flow in economically backward cities is significantly higher than that in economically developed cities. Digital economy can help "strong cooperation" and balanced development of urban innovation and development through the intermediary role of knowledge flow, and provide important policy basis for China to effectively implement innovation-driven development strategy and digital construction.
Technological innovation is the primary driving force for development, and implementing an innovation-driven development strategy is conducive to accelerating the transformation of new and old kinetic energy. But at this stage, China's technological innovation capability still has a lot of room for improvement. Studies have shown that the regional spatial structure has a significant impact on economic development, income levels and ecological environment. However, the existing literature seldom deals with the influence of regional spatial structure on regional innovation capability, and the internal influence mechanism of the two has not been deeply explored. Correctly identifying the impact of different types of spatial structures on scientific and technological innovation is an important way to promote the rational layout of regional spatial structures, and enhance the strength of regional scientific and technological innovation. Therefore, on the basis of theoretical analysis, this paper uses the panel data of 26 provinces and autonomous regions in the country from 2001 to 2018 to construct the regional spatial structure index, innovation efficiency index and innovation difference index. We examine the impact of regional spatial structure on innovation efficiency and innovation gap and its underlying mechanisms. On this basis, this paper further discusses the heterogeneity of the impact of regional spatial structure on technological innovation. The research results show that: (1) the single-center spatial structure is beneficial to the improvement of innovation efficiency, and it mainly functions through two mechanisms: agglomeration effect and scale effect; (2) The multi-center spatial structure is conducive to narrowing the innovation gap, and it mainly plays its role through three influencing mechanisms: the scale mutual loan effect, the industrial structure effect and the factor flow effect; (3) The single-center spatial structure is more suitable for provinces and cities in the efficiency-driven stage. For provinces and cities in the innovation-driven stage, the multi-center spatial structure is more conducive to innovation and high-quality development. The findings of this paper have several implications for the adjustment of China's provincial spatial structure and the development of scientific and technological innovation: First, clarify the important role of regional spatial structure in the development of scientific and technological innovation. The adjustment of regional spatial structure is one of the important means to promote the development of scientific and technological innovation. The Chinese government needs to clarify the functional positioning and interrelationships of cities within the province, rationally arrange the spatial structure within the province, and build a regional innovation chain with close cooperation. Second, promote the diversified development of regional spatial structure layout according to local conditions. Each province in China should adopt a reasonable spatial structure according to the actual situation of its own technological innovation and development. For example, while appropriately controlling the development scale of central cities, the eastern provinces should create a certain number of sub-central cities to promote the formation of a multi-center and multi-level spatial structure. For the central and western provinces, the improvement of innovation and development efficiency is the primary task. Therefore, the construction of central cities should be reasonably promoted to avoid blindly "spreading the pie" of development, resulting in waste of resources and low-level balanced development. Third, the development of scientific and technological innovation should not only focus on efficiency but also reflect fairness. China's existing science and technology innovation policies mainly focus on improving the overall efficiency of the innovation chain, but the large gap in science and technology innovation has gradually become one of the important problems that cannot be ignored. Therefore, while improving the efficiency of scientific and technological innovation resource allocation, the fairness of scientific and technological innovation should also be fully considered.
A new round of industrial revolution with intelligent manufacturing as the core is sweeping across the world. As the starting point and primary goal of industry 4.0, intelligent manufacturing is the main direction of "made in China 2025", and disruptive innovation is an important way for Chinese manufacturing enterprises to gain core competence under the background of intelligent manufacturing. Therefore it is very crucial to study the relationship between intelligent development and disruptive innovation from the enterprise level. In order to comprehensively explore the relationship between intelligent development and disruptive innovation, this paper analyzes the impact mechanism of intelligent development on disruptive innovation of manufacturing enterprises, which is based on three dimensions of direct transmission mechanism, indirect transmission mechanism and heterogeneous transmission mechanism, so as to provide reference for intelligent development of enterprises and make up for the shortcomings of existing research. Taking China's A-share listed manufacturing companies from 2000 to 2017 as samples, this paper uses text mining method to construct indicators that are difficult to quantify, studies whether intelligent development promotes China’s A-share manufacturing listed companies’ disruptive innovation and discusses the internal mechanism between intelligent development and disruptive innovation. At the same time, disruptive innovation is divided into disruptive business model innovation and disruptive technological innovation, the purpose is to deeply understand the internal meaning of disruptive innovation. In further analysis, the econometric model is used to empirically test the intermediary effect of disruptive business model innovation and disruptive technological innovation between intelligent development and enterprise operating performance, getting through the transformation path of "intelligent development-disruptive innovation-enterprise high-quality development", and deeply understand the transformation mode of manufacturing enterprises in line with the background of intelligent manufacturing. It is found that intelligent development significantly improves disruptive business model innovation and disruptive technological innovation of manufacturing enterprises, which is the main way for enterprises to realize disruptive innovation in the new era. Intelligent development can indirectly promote enterprise disruptive business model innovation and disruptive technological innovation, and this mechanism is realized by increasing enterprise fixed asset investment and improving the level of human capital. Manufacturing enterprises can create good development conditions for enterprise disruptive innovation by increasing investment in intelligent infrastructure and introducing high-quality talents; When considering the characteristics of enterprise heterogeneity, the samples of listed companies are divided into two groups according to the characteristics of ownership and factor intensity, it is found that the intelligent development of state-owned enterprises, capital-intensive enterprises and technology-intensive enterprises has a more significant impact on disruptive innovation, while intelligent development of non-state-owned enterprises and labor-intensive enterprises have less influence on disruptive business model innovation and disruptive technological innovation. It can be seen that state-owned enterprises, capital-intensive enterprises and technology-intensive enterprises have obvious advantages in promoting disruptive innovation in the era of intelligent manufacturing; Finally, the development of enterprise intelligence can improve enterprise performance and boost the high-quality development of enterprises through disruptive business model innovation and disruptive technological innovation. The research conclusion enriches the theoretical framework of the relationship between intelligent development and enterprise disruptive innovation, and provides a feasible path for promoting enterprise intelligent development and realizing disruptive innovation.
The technological and economic decoupling between China and the United States further highlights the urgency of China's key technological innovation breakthroughs. This paper constructs the key technology classification system from the two dimensions of the key technologies: characteristic of technical law and the development level of this technology in China. Furthermore, from the perspective of innovation ecosystem, the organization modes and R&D modes suitable for different types of key technologies are further summarized. We find that the national system mode with strong government intervention is suitable for the aggregate technologies; The industry-university-research cooperation mode with more autonomy is suitable for the bottleneck technologies; the core enterprise leadership mode driven by entrepreneurship is suitable for the open technologies; the flexible and open nonprofit-led mode is suitable for the exploratory technologies. The conclusion of this study provides theoretical reference for the organization mode design of key technologies and government policy making in China.
