Artificial intelligence social experiments have the distinctive feature of context-driven innovation, and the “responsibility gap”, which is the most disturbing problem in the application of artificial intelligence in the former, is generated and solved in specific contexts.By analyzing the technical logic of AI-enabled context-driven innovation and the intrinsic requirements of context innovation for AI ethics, we can know that there is a common problem of “responsibility gap” between the “ethics of AI social experiments” and the “ethics of AI”.Therefore, it is a new urgent task to eliminate the problem of “responsibility gap” in AI social experiments, which will directly contribute to the formulation of AI ethical principles and regulations. According to the different experimental contexts, the imputation types of experimental ethical challenges can be subdivided according to the differences in nature and boundaries, namely, the culpability, moral accountability, public accountability, and active responsibility.By introducing “meaningful human control”, the most promising guiding idea and practical framework in the field of AI global governance, we can provide a new way of thinking to comprehensively address the disconnect between the cognitive, embodied, and moral forms of control and their multiple forms of responsibility in AI social experimentation contexts.
In the process of scientific practice, the body never leaves the field. By analyzing the development process of microfluidic transfer technology, we can see that whether it is in the past relying on tacit skills for manual experiments, or in the present with precision instruments to assist operations, or in the future when automated equipment is popularized in practice, the body will always be play an important role. Embodied analysis from the perspective of phenomenology will reveal the mystery of the phenomenological body hidden in scientific practice. This helps us to better understand body schemas and tacit skills, intentional arcs and automatic adjustment of the body, and body perception that condenses vitality. In order to better stimulate the practical power of the silent body, and achieve mutual development with increasingly intelligent equipment.
The fragmentation of resources and information, technological uncertainty, as well as multiple values and conflicts of interest make the issues facing the governance of emerging technologies more complex, and it is in urgent need of cooperation among relevant bodies. In this context, it is of great practical significance to explore the operation mechanism of collaborative governance of emerging technologies. Based on investigating the connotation of collaborative governance of emerging technologies and combining the understanding model of collaborative governance, the paper constructs an analytical framework of the operational process of collaborative governance of emerging technologies. At the same time, through a long-term analysis of the management practices of autonomous vehicles in the United States, the process and mechanism of how all parties collaborate and achieve governance goals is explored. It is found that the key to achieving collaborative governance of emerging technologies lies in the coordinated and orderly cooperative actions of all parties to the common governance goal, and the realization of this process depends on the interaction of three mechanisms. Specifically, it includes the coordination mechanism led by government departments, the incentive mechanism oriented to technology innovation, and the multi-channel and institutionalized consultation mechanism. In practice, they play a role in coordinating the direction of cooperation and specific actions, supporting the effective operation of cooperation, and improving the governance ability of the collaborative subjects. This paper is helpful to open the "black box" in the implementation process of collaborative governance of emerging technologies and identify its internal operating mechanism, which is beneficial to the enrichment and practice of collaborative governance theory of emerging technologies.
Moral bio-enhancement, which uses non-traditional biomedical means to intervene in a subject's moral emotions, is essentially a philosophical approach to moral naturalism. However, some scholars are keen to attribute this approach to a strong reductionist viewpoint and to critique the reductionist limits of moral naturalism scientifically and philosophically, thereby denying the legitimacy of moral bio-enhancement. This argument ignores the fact that reductionism has different shapes in the ontological and methodological sense when discussed in the context of moral bio-enhancement. Moral bio-enhancement asserts the necessity and importance of reductionism for the study of human moral phenomena at the methodological level, while attempting to construct a non-reductionist image at the ontological level in which science and the humanities are integrated and developed. In this way, moral bio-enhancement is fundamentally a weak reductionist version of naturalistic morality.
As a weak reductionist version of moral naturalism, moral bio-enhancement gives its own answer by distinguishing between different forms of reductionism. On the one hand, it acknowledges the validity of the naturalistic reductionist approach and provides a naturalistic reduction and explanation of moral properties, which offers a factual basis and objective foundation for bridging the explanatory gap between natural and moral phenomena; on the other hand, the irreducibility of morality exposes the limits of reductionist beliefs and thus defends the specificity and independence of moral phenomena as uniquely human phenomena. Moral bioaugmentation not only brings morality into the laboratory of scientists, but also reveals the significance of the independent existence of moral properties beyond natural properties. On this basis, moral bioaugmentation, limited to a weak reductionist position, establishes its existential space and theoretical legitimacy by confronting the realities of human ethical life.
As an important member of the global supply chain, China has made extraordinary outstanding contributions and has great significance to the economy and trade of the whole world. As an important trading ally as well as a strong competitor, the United States has gradually increased its economic and trade restrictions on China in recent years. Especially by adopting the export restriction policy of "Entity List", United States has directly suppressed the high-end manufacturing industry in China, and the policy also caused the supply chain interruption in world wide. The impacts of these entity list events and effective response measures towards this kind of export restriction policy and supply chain interruption are especially worth exploring. In this paper, we use the event study method to examine the impacts of multiple entity list events in the context of the US-China trade friction. Aiming to compare and analyze the impact and changes of the influence of the entity list event and further to explore the causes, we focus on seven different entity list events involved more than 96 enterprises in the Chinese high-end manufacturing industry from 2018 to 2021. The results of the study show that initially the entity list event has a significant negative impact on firm performance, while the degree of negative impact diminishes over time and some of the events even show positive feedback in recent years. At the same time, impacts of entity list events exist an significant industry diffusion effect, with the impacts spreading to other enterprises in the four related specific high-end manufacturing industry. Further analysis reveals that the better the operations, the higher the concentration of supply chains and the more stable the innovation capacity, the better the response to the risk of supply chain disruption caused by the export restriction policy such as the entity list. Therefore, the government, high-end manufacturing industry and enterprises should be fully aware of the impacts of the entity list events and be well prepared to cope with them. The government should especially pay more attention to leading the collaboration of all these multiple parties to develop related capacities and improve the future situation. Enterprises should improve on independent innovation and reasonably increase investment in research and development. In addition, all these multiple parties should jointly promote the development of China's high-end manufacturing industry and develop the risk coping ability towards uncertain external environment.
The Fifth Plenary Session of the Nineteenth Central Committee of the CPC and the "Outline" of the National "Fourteenth Five-Year Plan" proposed to promote urbanization construction with counties as an important carrier, marking that county areas have gradually become the focus of China's new urbanization development. Since the development of county-level leading industries determines the level of urban and rural economic development and the life quality of residents to a certain extent, meanwhile, improving the level of regional economic development and the life quality of residents is also an inherent requirement for the development of new urbanization, the development of county-level leading industries has become one of the important ways to promote the development of county-level new urbanization. Judging from the development of the 120 demonstration counties of county-level new urbanization selected by the National Development and Reform Commission, the county areas that play a demonstration role in the development of new urbanization have not yet solved the problem of whether there are leading industries. In the areas where the leading industries have been identified at the present stage, the leading industries have a certain driving role in new urbanization, but it is not obvious. To give full play to the role of county-level leading industries in driving new urbanization, county areas can, according to their actual conditions, promote the development of relevant industries through the three stages of agglomeration and large-scale development, improvement and extension of industrial chains, and high-quality development of leading industries in the development of leading industries, connect the key points of new urbanization development, and drive the development of county-level new urbanization. To realize the development of new urbanization driven by county-level leading industries, county areas should pay attention to the role of the leading industries in the development of new urbanization, scientifically determine county-level leading industries, and further put the development of leading industries and new urbanization into one blueprint to conduct unified planning of "multi-plans into one", so as to promote the integrated development of industries and counties. Meanwhile, county areas should not stick to fixed industry and urbanization development models, but should promote the development of industries and urbanization in an innovation-driven direction according to local conditions, and promote the development of county-level new urbanization as a whole.
How to improve the leveraging effect of unit R&D subsidies on enterprise R&D investment is a difficult problem in public R&D policy governance. Due to the existence of information asymmetry, the "incentive effect" and "catering effect" coexist in the process of implementing R&D subsidy policy Reviewing the literature, some researches have made some useful explorations on this problem from the perspective of enterprise internal governance and external supervision. However, the existing research has not discussed this issue from the perspective of financial institutions playing the role of supervision and governance. As an important external body supervising corporate behaviors, financial institutions have stronger analytical ability than ordinary investors. In the context of fintech, the information collection and processing ability of financial institutions has been greatly improved. Based on this background, we use the panel data model to test whether fintech can improve the implementation performance of public R&D subsidy policies through public governance mechanisms. It is found that fintech can significantly promote the leveraging effect of R&D subsidies on R&D investment by enhancing corporate information transparency, curbing the tendency of R&D manipulation, and regulating the use of subsidy funds. Through the research on the effects of fintech and R&D subsidy policy, this paper confirms that the development of fintech can help to amplify the effect of fiscal policy implementation, and provides a new idea for the use of fintech to help to improve the allocation efficiency of public resources such as R&D subsidies.
According to the research results, we propose that, first, in the future, financial institutions such as banks should be vigorously promoted to develop fintech. By strengthening the information collection and processing ability of financial institutions, the supervisory and governance role of financial institutions on real enterprises should be enhanced, the market operation order should be standardized, and the promoting effect of financial system on the development of real economy should be strengthened. Second, we should vigorously promote the application of digital information technology in the fiscal and financial fields, build an information sharing platform between financial institutions and fiscal departments, and use the power of financial institutions to enable fiscal departments to more accurately understand the situation of enterprises, so as to formulate industrial policies such as R&D subsidies and improve the effectiveness of policies.
Driven by the information revolution, the coupled development paradigm of "integration but independence, mutual promotion but mutual restriction" between finance and technology has gradually become a consensus, and finance technicalization and technology financialization have become the normality and characteristic of economic development. Although the coupling of finance and technology is deepening the integration of finance industry and technology industry, it also increases the concealment and complexity of systemic risk. Research on the vulnerability of the coupling of finance and technology is a "genetic" exploration of systemic risk, which is of great value and significance. Based on the background of high-quality economic development, the process of economic transformation to high-quality development is divided into the turning period, the entering period and the development period, and the coupled network model of finance and technology is constructed by using complex network theory, which deeply reveals the basic topological properties and structural characteristics of the coupled network, and the vulnerability of the coupled system is also investigated in the three periods. Empirical research shows that: first of all, the industry coupling degree between finance industry and technology industry is on the rise with the economic transformation to high-quality development. High-quality technology innovation has become the key to promote the development of technology industry and the benign coupling of finance and technology. Secondly, small and medium-sized enterprises play an important role in improving the efficiency of coupled network. The tight coupling between small and medium-sized enterprises is an important structural feature of the coupled system. Thirdly, the vulnerability of the coupling of finance and technology is declining, and the influence of extremely important enterprises on the risk of the coupling system is gradually weakening. In addition, it is also found that the size of an enterprise is still the key to determine its vulnerability impact force (the impact force formed when vulnerability is stimulated). Industrial and Commercial Bank of China, China Construction Bank and other large state-owned commercial banks have the strongest vulnerability impact force, but their risk spillover is weak. The enlightenments and policy suggestions are as follows: firstly, the convergence and driving role of medium-sized enterprises should be stimulated, and the stepped mutual promotion mode can be tried to solve the investment and financing problems of small and medium-sized enterprises. Secondly, the regulatory strategy of "too big to fail" is more suitable for the risk management of China's coupling system of finance and technology than the management concept of "too connected to fail". Despite their outstanding performance in improving network efficiency, the vulnerability impact of small and medium-sized enterprises is still much weaker than large enterprises. It indicates that "too related" enterprises will not have a big risk impact on the system, but "too big" enterprises still have the potential to have the greatest risk impact ability in the current coupling system of finance and technology in China. Thirdly, enhancing the ability of high-quality innovation and continuous innovation, activating and improving the efficiency of the coupling system with high-quality innovation supply, and promoting the coordinated and stable development of the subsystem with continuous innovation are the keys to reduce the coupling vulnerability of finance and technology.
Data envelopment analysis (DEA) is an effective tool to evaluate the relative efficiency of the homogenous decision-making units, which is widely used in energy, education, supply chain management and other fields. The inverse DEA method is based on the efficiency evaluation results of the DEA method, providing subsequent sensitivity analysis and resource allocation plans. The paper takes some scientific research institutes under the Chinese Academy of Sciences as the evaluation object, selects the indicator system, and uses DEA model to conduct comprehensive evaluation of scientific research performance from two aspects of scientific research achievements and personnel training. Furthermore, based on the obtained evaluation results, the inverse DEA model is used for sensitivity analysis and prediction of input-output indicators, providing auxiliary and quantiative decision-making support for the allocation of different types of scientific and technological resources in research institutes.
In recent years, digital economy which views data as the key factor of production and digital technology as the core driving force, has become a new engine to promote the high-quality development of China’s economy. Under the wave of digital economy, more and more enterprises embark on their digital transformation journey by collecting and analyzing internal operations and external user data. However, in practice, only a few enterprises utilize big data to enable their business innovation and achieve performance growth. Most enterprises still face the dilemma of having data without performance. How to release the value of data to better improve the performance of enterprise digital transformation has become an important issue for both academia and practitioners.
Existing studies have acknowledged the importance of data development and utilization to the digital transformation of enterprises, but it lacks in-depth analysis of its internal mechanism. As a process of organizational change, digital transformation is influenced by both organizational cognition and behavior. It requires managers to interpret data strategy from the cognitive level. Meanwhile, it also requires managers to implement data strategy from the behavior level. In this sense, from the cognitive perspective, along with the logic of “cognition-behavior-performance”, this study investigates the impact of data strategic cognition on the performance of enterprise digital transformation.
This study uses questionnaire data to carry out empirical analysis. The results show that: (1) Data strategic cognition has a significant positive impact on the performance of enterprise digital transformation. Managers’ clear description and interpretation of data strategy helps to improve the performance of enterprise digital transformation. (2) The implementation of data strategy plays a partial intermediary role in the relationship between data strategic cognition and the performance of enterprise digital transformation. Managers’ clear understanding of data strategy helps to effectively decompose and implement of data strategic tasks in various functional departments, and improves the performance of enterprise digital transformation. (3) The diversity of data application scenarios strengthens the positive impact of data strategy implementation on the performance of digital transformation. Diverse data application scenarios can expand the sources of enterprise data and enrich the carrier of enterprise digital communication. This contributes to data sharing and process collaboration, and then promotes the performance of enterprise digital transformation. (4) The diversity of data application scenarios strengthens the intermediary effect of data strategy implementation. Diverse data application scenarios can help managers deepen their understanding of operational situation, and promote data strategy in the enterprise departments effectively as well as improve the efficiency of collaborative innovation among different business departments.
This study contributes to developing a deeper understanding of the source of digital transformation performance, and provides theoretical guidance and practical inspiration for enterprises to improve their digital transformation performance by strengthening the strategic data management. During the process of digital transformation, enterprises should pay attention to strengthening managers’ cognitive training of data strategy to enhance their understanding of the value of data strategy and accelerate the cohesion of data strategic consensus. In addition, enterprises should strengthen the process management of data strategy implementation and promote the coordinated implementation of data strategy among various departments through the establishment of system norms and unified standards of data collection, storage and analysis. Moreover, to better release of data value and improve the performance of digital transformation of enterprises, the development of digital application scenarios should be promoted from single point breakthrough to the entire enterprise.
The "import dependence" of domestic advanced medical equipment is seriously concerned by the Government. President Xi highlights that advanced medical devices should be self-controllable, efforts supposed to be concentrated on breaking through core and key technologies. As an important means for enterprises to acquire heterogeneous knowledge, cross-border merger and acquisition is an internationalization accelerator for latecomer countries to quickly realize technology catch-up and reduce import dependence, and' also a direction for advanced medical device enterprises to realize domestic substitution of core and key technologies. However, due to the differences between countries in political system, cultures, as well as the fact that the medical equipment industry mainly consist of small startups, those enterprises may face the disadvantage as outsiders and newcomers in the process of cross-border mergers and acquisitions (M&A). Therefore, how to help advanced medical device enterprises break through the dilemma and acquire and absorb core knowledge in cross-border mergers and acquisitions is an important way to alleviate the stranglehold problem of core and key technologies of advanced medical equipment Venture capital can affect the knowledge absorption and management ability of enterprises through investment and post-investment management. If the knowledge transfer mechanism of VC can operate effectively, by strengthening the process of knowledge transfer, absorption and application of core technologies in cross-border mergers and acquisitions, advanced medical equipment enterprises are expected to build the innovation capability of core and key technologies. However, there are few literatures to discuss whether the knowledge transfer mechanism of VC institutions plays a role in the relationship between cross-border M&A and core and key technology innovation. For this reason, based on the logic of domestic substitution, this paper accurately identifies the core and key technology breakthroughs in Chinese advanced medical equipment industry, this paper takes Chinese advanced medical equipment enterprises from 2015 to 2021 as samples to investigate the influence of VC participation on the relationship between advanced medical device enterprises' transnational merger and acquisition strategy and core and key technology breakthroughs. Furthermore, the paper examines the influence of VC participation on knowledge acquisition and knowledge absorption of enterprises in cross-border M&A, to explore the operation of VC knowledge transfer mechanism in the situation of cross-border M&A strategy affecting advanced medical device enterprises' core and key technology breakthrough. The results show that VC participation can strengthen the positive impact of cross-border M&A on the breakthrough of key core technologies, and the potential mechanism is to strengthen the knowledge acquisition and absorption of cross-border M&A. The contributions of this paper listed as follows: Firstly, this paper finds that VC can help enterprises break through key core technologies by strengthening the heterogeneous knowledge acquisition and absorption and utilization effect of cross-border M&A, which expand the application scenarios of VC knowledge transfer function. Secondly, the existing literature on core and key technology breakthrough is limited to qualitative research. This paper provides micro-level empirical evidence for the breakthrough factors of core and key technology by constructing the core and key technology breakthrough data set of advanced medical equipment enterprises. Finally, the research conclusions of this paper can provide some theoretical guidance for policy makers to clarify the breakthrough method of key core technologies of advanced medical device enterprises and alleviate the stranglehold problem.
Under the background of comprehensive implementation of green manufacturing, green product, as one of the key contents of green manufacturing system, strengthen its development level and improve its effective supply have become the key point of green manufacturing system. However, most of Chinese manufacturing enterprises are relatively short of experience in green product development, and the accumulation of core technical knowledge is limited, which restrict the progress of green product development. Matching between boundary-spanning green technology search and technology integration capability (MATCH) can promote the effective identification and utilization of scattered and disordered green technology knowledge obtained by search, minimize the redundancy level of enterprise technical knowledge resources and capabilities, improve the resource utilization efficiency of enterprises, strength the technical knowledge base of enterprises, and promote the green product development performance effectively. However, the existing research has rarely mentioned about it. Based on the matching theory, knowledge-based theory and cognitive style theory, and the questionnaires from 311 Chinese manufacturing enterprise managers, we construct a moderated mediating effect model from the perspective of "knowledge - capability - cognition" to deeply analyze the influence of MATCH on green product development performance. We use the coupling coordination degree model to measure the degree of MATCH, introduce green technology innovation capability as the mediating variable, and organizational cognition as the moderating variable. The results are as following: (1) MATCH positively affects the green product development performance; (2) Green technology innovation capability plays a partial mediating role between MATCH and green product development performance; (3) The result of organizational analytical cognition is opposite with the hypothesis. Both organizational analytical cognition and organizational creative cognition positively moderate the relationship between MATCH and green technology innovation capability. (4) Both organizational analytical cognition and organizational creative cognition enhance the positive promoting effect of MATCH on green product development performance through green technology innovation capability. Our findings contribute to the theory in several ways. First, we focus on the field of green technology based on the boundary-spanning search, which expands and fills up the research gap in the field of boundary-spanning search for green technology. Second, we apply the matching theory to the study of green product development and find MATCH as an important factor affecting the performance of green product development. Which broadens the application scope of the matching theory and provides a new perspective for the study of green product development. Third, green technology innovation capability is introduced as the mediating variable to reveal the evolutionary path and mechanism of MATCH on green product development performance, which is conducive to enrich the research related to green technology innovation and more comprehensively understand the antecedents of green product development performance under the background of green manufacturing. Last, we discuss the role of organizational analytical cognition and organizational creative cognition in the process of enterprise green product development, which expands the application of cognitive style theory at the organizational level. Overall, the conclusions of this article have certain theoretical guidance and decision-making significance for deepening the research of green technology innovation and improving the performance of Chinese manufacturing enterprises’ green product development.
The interdisciplinary entrepreneurial team is the key carrier for universities to carry out academic entrepreneurship. Strengthening the internal governance of the interdisciplinary entrepreneurial team in universities is an important measure to enhance the transformation of scientific and technological achievements in universities and boost the construction of the national innovation system. The interdisciplinary entrepreneurial team in universities is the source of the improvement of academic entrepreneurial performance, there is still a lack of systematic and comprehensive theoretical and empirical research on its internal governance. This paper takes interdisciplinary entrepreneurial teams in universities as the study object, analyzes the internal governance mechanism and laws of interdisciplinary entrepreneurial teams in universities theoretically and empirically, and finds that: Transformational leadership has positive impacts on interdisciplinary collaboration and academic entrepreneurial performance in interdisciplinary entrepreneurial teams in universities; Interdisciplinary collaboration plays a partial mediating effect in the relationship between transformational leadership and academic entrepreneurial performance; The relationship conflict in conflict plays both a negative and a positive moderating effect in the relationship between transformational leadership and the different dimensions of interdisciplinary collaboration. The task conflict in conflict has an insignificant negative moderating effect in the relationship between transformational leadership and the quality of collaboration in interdisciplinary collaboration. The findings of this paper emphasize the matching law of the materialization process of the productivity of interdisciplinary entrepreneurial teams in universities, and also provide evidence for the coupling of core elements in the internal governance process of interdisciplinary entrepreneurial teams in universities.
The theoretical contribution of this paper are as follows: firstly, there has been controversy over the dimensions of transformational leadership in previous studies. This paper confirms that transformational leadership is a univariate variable and cannot be divided into different dimensions, indicating that there may be important situational elements in the dimension division of transformational leadership. Secondly, based on the interdisciplinary characteristics of interdisciplinary entrepreneurial teams in universities, this paper explores the integration of transformational leadership and interdisciplinary cooperation, two key governance elements that affect the growth and development of interdisciplinary entrepreneurial teams in universities, into the common research model. This not only expands the analytical framework for the performance of transformational leadership in academic entrepreneurial teams, but also systematically depicts and describes the internal governance mechanisms of interdisciplinary entrepreneurial teams in universities, this goes beyond the existing study framework on the separation of transformational leadership and interdisciplinary cooperation, it is an important supplement to both transformational leadership theory and interdisciplinary cooperation theory. Thirdly, this study finds that there are significant differences in the moderating effects of different dimensions of conflict in the relationship between transformational leadership and interdisciplinary cooperation, which breaks through the stereotype that relationship conflict always has a negative impact in previous studies, and is an important supplement to the conflict theory and the theory of competition and cooperation. The practical inspiration of this paper lies in: the paper focuses on the most important internal governance variable of the team-the key role of transformational leadership in the academic entrepreneurial performance of interdisciplinary entrepreneurial teams in universities. At the same time, this paper emphasizes that interdisciplinary cooperation is an important path to improve the internal governance performance of interdisciplinary entrepreneurial teams in universities. Moreover, the paper identifies the different roles that conflict plays in the process of transformational leadership leading interdisciplinary entrepreneurial team members in universities to engage in interdisciplinary cooperation.
Regional knowledge network is an important way to explain how innovation takes place in regions. There has been a large body of literature addressing the properties of scientific or technological collaboration networks in different regions. However, most of the studies treat science and technology separately and focus less on their interaction. A well-established stream of literature has demonstrated that science is a critical source of knowledge in the development of technology. Promoting the knowledge flow from science to technology helps gain competitive advantage in emerging industries. However, little evidence shows how science is transferred to technology through actors in regions. Therefore, this paper aims to identify the role of different local actors in regional knowledge network from the perspective of science-technology linkage. In this way, policy makers can optimize the layouts of entities and develop science and technology hubs in city clusters so that science and technology can be more deeply interacted, which contributes to high-quality regional development. Patent-to-paper citations are commonly interpretated as the knowledge diffusion from science to technology. Therefore, we collect patent-to-paper citations from 2001 to 2020, which involves the organizations located in the Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta regions respectively to establish the inter-organizational knowledge networks in the regions. The characteristics of local actors in the knowledge networks of three city clusters are compared at the level of the entire network and ego-network with the help of social network and correlation analysis. The results are: (1) Universities play a significant role as the knowledge producer, absorber and brokers. Research Institutions play a similar but less important role. Large and medium-sized enterprises and small and micro-enterprises focus more on knowledge absorption, with only a small portion as both the knowledge producer and broker. The ability of small and micro-enterprises in knowledge production, absorption and brokerage is weakest among all types of actors. (2) In the knowledge networks of the Beijing-Tianjin-Hebei region and the Yangtze River Delta, universities’ ability in knowledge output, is in line with their capability in knowledge production, and brokerage. For large and medium-sized enterprises and small and micro-enterprises, the ability shows little correlation. In the Pearl River Delta knowledge network, universities mostly focus on either knowledge absorption or output, while the ability of enterprises in knowledge output, input, and brokerage is highly correlated. (3) In the Beijing-Tianjin-Hebei region and the Yangtze River Delta networks, universities have the closest communication with external entities, while in the Pearl River Delta network, large and medium-sized enterprises have the highest level of direct communication with external entities. This paper contributes to the theoretical literature in two ways. First, we add the understanding of the role of different actors in regional knowledge networks. Specifically, our results reveal the heterogeneous characteristics of actors in their involvement in transferring knowledge from science to technology. Second, we provide a novel approach of assessment for the actors in regional innovation system based on social network analysis with patent-to-paper citations. Our findings have policy implications for improving regional innovation systems with various actors.
The chip has emerged as a cornerstone of industrial development in the digital economy era, and its associated technological innovation is crucial for promoting high-quality economic growth and ensuring national strategic security. However, research on the role of government in guiding regional chip technology innovation remains scarce. Based on attention theory, this study empirically examines the impact of government attention allocation intensity on regional chip technology innovation output, using a sample of 281 prefecture-level cities across China from 2013-2021. The results indicate that government attention allocation intensity can significantly enhance regional chip technology innovation. The positive impact of government attention allocation intensity on chip innovation is further strengthened in regions with good market-oriented environments. Additionally, local fiscal transparency positively moderates the effect of government attention allocation intensity on regional chip innovation output. These findings are robust to various tests, including replacing the dependent variable, PSM test, and two-stage least squares regression. The study’s conclusions offer important policy implications for local governments seeking to allocate resources effectively and promote high-quality regional chip innovation in a context where attention is limited.
Digital innovation based on digital technology is an critical challenge for the
transformation of traditional enterprises. How to invest in digital innovation under the
premise of ensuring business stability is crucial for enterprises to maintain sustainable
competitiveness. Based on the research gap in the existing literature, this study takes
Bosch (China) as a case study, and uses grounded theory and single case study
method to explore the path for enterprises to cross the discontinuity gap in digital
innovation. The results show that digital innovation is discontinuous, forming a gap
between two continuous innovations, and the original behavior pattern and mindset
are the main hidden obstacles to digital innovation. Disruptive innovation and digital
innovation have isomorphism and correlation, and the RPV model (resources, processes, values) of building value network in discontinuous innovation can provide
theoretical support for bridging the gap. In the process of RPV reconstruction, there
are dual cycle of resource integration, dual track of process reshaping and dual drive
of value cultivation, which echo with the connection of product, business and ecology. This study constructs a path model for enterprises to simultaneously empower old
business and develop new business through digital innovation, and provides
theoretical basis and practical inspiration for the transformation of traditional
enterprises.
