Based on the perspective of value co-creation and element aggregation, this paper selects the A-share traditional manufacturing listed enterprises from 2011 to 2019 as empirical samples to verify whether intelligent transformation improves the performance of traditional manufacturing enterprises, and also discuss the moderating effect of cost stickiness through using the text mining methods. The empirical results show that, intelligent transformation has a significant positive impact on the performance of traditional manufacturing enterprises. That is, intelligent transformation of traditional manufacturing enterprises can achieve "intelligence" to win, and intelligent transformation can improve enterprise performance by reducing cost stickiness. Also, considering the heterogeneous characteristics of enterprises, compared with non-state-owned enterprises, intelligent transformation of State Owned Enterprises（SOEs）has a more obvious impact on reducing cost stickiness and improving enterprise performance; compared with capital-intensive manufacturing enterprises, intelligent transformation of labor-intensive manufacturing enterprises is also easier to reduce cost stickiness and achieve the improvement of enterprise performance. This paper provides the useful reference for promoting intelligent transformation of traditional manufacturing enterprises and improving enterprise cost management.

Nowadays, green technology with the characteristics of high efficiency, low carbon and recycling is not only the inevitable choice for the development of human society, but also the key to the high-quality development of resource-based enterprises. However, it needs the support of corresponding innovation environment and factor supply, and the digital environment gradually formed by relying on technologies such as big data provides it with an unprecedented opportunity. Digitization is becoming the leading force driving innovation and transformation. With the acceleration of the construction of Digital China, can digitalization effectively promote the green technology innovation of traditional resource-based enterprises, break through the dual constraints of resources and environment and embark on the road of high-quality development? Accelerating digital development has become a general trend. How Chinese resource-based enterprises take advantage of the trend to catch the fast train of digital development and quickly integrate into the new environment of digital development is directly related to their own high-quality development level. From the perspective of technology integration capability. Based on the sample of A-share resource-based listed companies in Shanghai and Shenzhen from 2016 to 2019, this paper empirically tests the impact and internal mechanism of digital comprehensive level and its five sub indicators on green technology innovation of resource-based enterprises. The five sub indicators are: Digital foundation, digital input, digital literacy, digital economy and digital application. This paper constructs the digital level measurement index system by using the coefficient of variation method. And comprehensively measure the digital level of 30 provinces in China. And the empirical results are obtained by using stata15.1 software. It is found that the comprehensive level of regional digitization has a significant "∩" impact on the green technology innovation of resource-based enterprises. Among the five first level indicators of digital level, four sub indicators such as digital foundation, digital input, digital economy and digital application have a significant "∩" impact on the green technology innovation of resource-based enterprises in the jurisdiction. However, digital literacy has no significant impact on the "∩" of green technology innovation of resource-based enterprises in the jurisdiction. That is, there is an appropriate level of digitization in the above different dimensions, and excessive investment is not conducive to promoting green technology innovation of resource-based enterprises. Technology integration ability positively regulates the impact of regional digital comprehensive level on green technology innovation of resource-based enterprises. Technology integration ability positively regulates the impact of digital foundation, digital input, digital literacy, digital economy and digital application on green technology innovation of resource-based enterprises in the jurisdiction. The results show that in resource-based enterprises, the regional digital level only provides the basis of technical resources for enterprises. Only through the internal technology integration can we give full play to the value of different technology combinations, which is helpful for enterprises to carry out green technology innovation. In short, accelerating the improvement of regional digital level and enhancing the ability of enterprise technology integration are of great significance to promote green technology innovation of resource-based enterprises, so as to realize high-quality development guided by ecological priority and green development.

Breaking through key part of core technology is a major practical problem and theoretical research topic in China. Proposals for formulating the 14th Five-Year Plan (2021-2025) for National Economic and Social Development and the Long-Range Objectives Through the Year 2035 explicitly states that "Sci-tech self-reliance and self-strengthening as the strategic support for national development, the new system concentrating nationwide effort and resources on key national sci-tech undertakings should be improved in the context of the socialist market economy, and key part of core technology should be strived to make major breakthroughs". However, the academic research on breaking through key part of core technology is still in its infancy, and there are not many researches abroad. The limited literature and reports in China mainly focus on a few topics such as leadership speeches, government role, identification methods, innovation barriers, breakthrough paths, institutional mechanisms and case description. Scholars has made a preliminary study on the concept, characteristics and influencing factors of key part of core technology, but it is far from reaching a consensus. In view of this, we especially explores some basic theoretical issues in this field: concept, connotation, characteristics and breakthrough factors of key part of core technology. Firstly, key part of core technology can be understood from two perspectives: the concept of “or” relationship between “key technology” and “core technology”; “key” represents the degree of importance, “core technology” is the body. Comprehensively reviewing the concepts of key part of core technology in existing literature, we find that some define it through the first perspective and quote the concepts like “core technology” from previous studies, which enlarges or reduces the connotation and extension of key part of core technology and blurs the boundary characters between them; Others make definition from their own interest, but perspectives vary from one to another. Based on this, we believe that key part of core technology is a necessary and insufficient condition of core technology. Combining the related theories of technology gap, the view of sustainable development and holistic approach to national security, we define the concept and explain the connotation of key part of core technology. Then, from the perspective of process, the main characters of key part of core technology are described from four aspects: technical status, research process, breakthrough mechanism and innovation achievements. Finally, the contradiction between a dilemma that one country’s high-end sci-tech development being blocked by other developed countries and that country's domestic security and market demand has triggered a theoretical discussion on breaking through key part of core technology and realizing sci-tech self-reliance and self-strengthening. Taking Industry-University-Research as the body, we analyze seven main breakthrough factors of the key part of core technology from the two dimensions of "breakthrough path" and "assistance channel": Technology suppression cognition and demand orientation, International science technology cooperation and open innovation, Deep integration of Industry-University-Research, Long-term sufficient R&D investment, Leading talents and their teams, Technology chain and industry chain, Government policies and institutional mechanisms. The conclusion can provide a basis of reference for the further research and practice.

Digital economy has become a new driving force for the steady and long-term development of China's manufacturing. This paper adds digital economy to the global value chain (GVC) analysis framework, depicts GVC upgrade features from the dimension of breadth and height, explain the theory mechanism that digital economy affects the upgrading of GVC, establishes econometric models to empirically test the overall impact of digital economy on the GVC upgrading of China's manufacturing, the impact of industry heterogeneity and the threshold effect of technology and capital. The research findings are as follows :(1) Digital economy fundamentally changes the spatial layout and value distribution of all links of GVC, and influences the breadth and height of GVC of a country and its specific sectors by giving play to network connection effect, cost saving effect and value creation effect;(2) During the sample investigation period, the digital economy on the whole promotes the breadth and height of GVC in China's manufacturing. Labor-intensive industries show the same influence characteristics as the total sample, but the GVC upgrade effect of capital and technology-intensive industries in digital economy is not obvious. By further test, We find that the digital economy has a "U-shaped" single threshold effect on the GVC upgrade of capital and technology-intensive industries, which is firstly inhibited and then promoted. Therefore, mastering the key technologies of digital economy, strengthening the construction of digital infrastructure and guiding the digital transformation of enterprises are still urgent needs. This study is conducive to a deep understanding of the economic effects of digital economy, and to provide reference for the formulation of countermeasures for the GVC upgrade of manufacturing.

With the blowout development of artificial intelligence, the ethical risks involved in it have also come into reality from science fiction works, and have become a hot topic for many subjects. Based on the technology acceptance model and risk perception theory, based on trust as a mediation, this paper constructs a research framework for the public's perception of artificial intelligence ethical risks and their willingness to participate in risk governance, and empirically tested the relevant hypotheses. The results show that AI ethical risk perception has a significant negative impact on public participation intentions. Among them, the public’s trust in scientific research institutions and the government plays a part of the mediating role between AI ethical risk perception and public participation. This conclusion provides a scientific basis for the construction of a new governance pattern of "government-led, expert-led, public participation, and social supervision", and has important practical significance for emerging technologies to achieve the “Tech for Social Good”.

Big data as a new factor of production has become the "oil" in the era of digitalization. Innovation and entrepreneurship driven by data elements is becoming a new engine to achieve high-quality development in the new era. Yet there are relatively few researches on the value realization process and value creation process of data elements. This study aims at the problem of valuing data elements under the new development pattern and the mechanism of realizing the value of big data. It first discusses the "5I"(Integration, Interconnection, Insight, Improvement, Iteration) social attribute of data elements, followed by proposing a "factor-mechanism-performance" dynamic holistic model with a core part of data bank. Data bank is based on the full storage, comprehensive aggregation, standard right confirmation and efficient governance of massive data. Based on the social attributes of data elements, the mode and concept of banks, it makes data as a new kind of economic resource and further a tradeable asset, and finally realizes the transaction and application value-added of data. Data bank is a new business form and value-added service under the market-oriented allocation of data elements in the era of data economy. Then it systematically discusses the five-stage dynamic process mechanism of multi-dimensional value creation of data elements through data bank, that is, low cost convergence, standardized right confirmation, highly efficient governance, asset trading and full scenario application. Furthermore, it discusses the challenges, pointing out that the core technology is not yet mature and the value efficiency is low, the orientation of organization is unclear and the system and law need to be perfected. Finally, it proposes future research topics related big data value creation and policy suggestions for the implementation of this dynamic holistic mechanism, with a call for constructing a value creating ecosystem of data elements with Chinese characteristics so as to enable China’s new development pattern and sustainable development. This study provides theoretical and practical enlightenment for opening the "black box" of data elements value creation process, accelerating the value creation of data elements, enabling digital industrialization and industry digitalization, and then realizing high-quality sustainable development led by digital innovation in the new development stage.

The emergence of controversial emerging technologies, such as nanotechnology, genetic engineering, and artificial intelligence, has led to the discussion on the governance of emerging technology in both research and practice. As a new perspective of scientific and technological innovation, responsible innovation provides a theoretical paradigm basis for the discussion on governance challenges caused by negative externalities and risks of emerging technologies. The research focuses on the issue of governance of emerging technologies, and makes a systematic review based on the perspective of responsible innovation, so as to provide systematic implications for the theoretical research and policy practice of emerging technology governance. The research shows that: the existing literature on the governance of emerging technologies involves three research streams, namely the process perspective, the action perspective, and the governance system’s structure perspective. Moreover, based on the responsible innovation paradigm, the governance of emerging technology has emerged five major literature streams, involving the goal-setting perspective, the actor participation perspective, the value criterion coordination perspective, the process response perspective, and the institution construction perspective.

From the perspective of labor market demand and supply, this paper puts forward the theoretical mechanism that Digital Finance affects labor misallocation through labor pool effect and human capital effect. Furthermore, by matching the Digital Financial Inclusion Index compiled by Peking University with the data of 279 prefecture level cities in China from 2011 to 2016, this paper empirically tests the impact of Digital Finance on labor misallocation by using panel regression model with instrumental variables. The results show that: Digital Finance can significantly improve labor misallocation, and the three sub indicators of coverage breadth, usage depth and digitization level also significantly improve labor misallocation. Heterogeneity analysis shows that the improvement effect of Digital Finance on labor misallocation is stronger in cities with lower urbanization level and lower financial development level, and more significant in central and western regions, which also confirms the inclusive function of digital finance.

Along with the rapid growth of Chinese economy, the problem of environmental deterioration has been increasingly serious. As the primary environmental polluters, enterprises should have borne the responsibility of environmental governance and strengthened the green technology innovation. However, due to the externalities of environment protection, enterprises are often reluctant to participate in green innovation. The Green Credit Guidelines (GCG) promulgated in 2012 is a significant institutional arrangement for the environment protection in China, which highlights bank credit as an important tool of environment protection. Specifically, the GCG requires financial institutions to pay more attention to the environmental risk and social risk of enterprises. As an important measure to adjust the credit resources, the fundamental purposes of the GCG are to improve the quality of the environment and promote the green transformation of the industry. Therefore, it is significant to analyze the impact of the GCG on enterprise green innovation. However, most studies on the GCG mainly focuses on theoretical discussion and effect evaluation, and there is little evidence about whether and how the GCG influences enterprise green innovation. Using the promulgation of the GCG as a quasi-natural experiment, this paper investigates the impact of the green credit policy on the green innovation of heavily polluting enterprises with the help of difference in difference method. Compared with other study on the relationship between environmental regulation and green innovation of enterprise, this paper avoids endogenous problem among variables. In addition, this paper enriches the enterprise green innovation factors and the GCG environmental consequences of the relevant literature, which also helps to the following promotion of the green credit policy and the construction of green finance. The conclusions of this paper are as follows: First, the GCG has a significant negative impact on the green innovation of heavily polluting enterprises, and this relationship is robust to different specifications and alternative measures. Second, the reduction of credit scale and the increase of credit cost are possible channel. Third, the heterogeneity analysis shows that the negative net effect of the GCG on enterprise green innovation is more pronounced in the green invention patents and enterprises that are not state owned or do not have large scale. Based on the above conclusions, this paper suggests the government should pay attention to the policy distortion, establish the incentive mechanism for green credit and promote the environmental information resource sharing.

Since their establishment, the National Science Foundation of the United States (NSF) and the National Natural Science Foundation of China (NSFC) have played an important role in the development of science and technology and the reform of science and technology system in the two countries. NSF and NSFC were established under the market system and the planning system respectively. A comparative study of their founding processes shows that, on the one hand, both NSF and NSFC were created in the key stage of the scientific research system transformation of the two countries, which were the institutional exploration of government support for science. On the other hand, there are differences in the subject of policy proposals, the problems to be solved, and the alliance and debate in consensus shaping, which reflects the deep social structure of the two countries. In general, the establishment of NSF and NSFC shows the characteristics of "idea first" and "practice first" respectively, and constructs a new way of national support for science under the market system and the planning system, which profoundly changes the relationship between the government and science. "How the government supports science" is not only the core issue in the establishment process of NSF and NSFC, but also an important issue facing the development of all countries, which show the new connotation and characteristic. In the face of the endless frontier of science, to strengthen the national strategic scientific and technological strength, China needs all sectors of society to jointly explore the answer to this question in both theory and practice.

The metaverse, which represents the comprehensive integration trend of the most advanced information technology, has three main characteristics: the fusion of the virtual and the real, the autonomy and the sociality. The emergence of the metaverse will trigger a linkage change in social production structure, operating mechanism, and relationship status. During the transformation, it will also lead to social risks such as the leakage of user's data privacy, the abuse of power of the metaverse platform, the manipulation of individual consciousness, the increased risk of discrimination, and the ideological Safety cannot be guaranteed . Governance schemes of the social risks should follow the principle of systematization and the concept of multi-governance. In the ethical plans, we should adhere to people-oriented, establish an ethical review organization within the metaverse community, and carry out value sensitive design and value circuit breaker design; In terms of the rule of law plans, legislation should be made timely to clarify legal disputes, and the power of metaverse platform should be regulated by means of public power supervision and protection of user's rights; in terms of technical plans, we could optimize the embeddedness and feasibility of risk responses by means of regulating code by code and govern technology by technology.

Through a longitudinal case study of Ding Talk, this paper analyzes the evolution process of digital enabling mechanism of the service-based digital platform for traditional organizations’ digital transformation. The study found that the formation of enabling mechanisms of the service-oriented digital platform follows the logic of “demand determination-business layout-enabling realization”. Meanwhile, the digital enabling mechanisms present an evolution of “collaborative enabling---ecological enabling---scenario enabling” through the development process. Based on the existing literature that the digital platform is capable of function-level enabling, this article reveals that the service-oriented digital platform can provide a full range of enabling to organizations through the digital enabling infrastructure at the organization-level, industry-level, as well as scene-levels. Our work contributes to digital enabling literature.

Social governance needs the empowerment of technological innovation, but the "time lag effect" of technological innovation risk is the object of social governance, which leads to the inherent synergy and reflexivity between modern technological innovation and technological governance in logic and practice, that is, the innovative development of emerging technologies cannot be separated from the synchronous construction of adaptive governance system. Therefore, the governance dilemma brought by the extension of scientific experiment to real world experience requires the collective participation of the public and experts, and faces the uncertainty through experimental practice, which leads to the collaborative innovation-governance model of "collective experiment". From the perspective of STS and co-construction, the emergence of collective experiment phenomenon can be systematically expounded and then conceptualized, and the practice path of collective experiment, which is a new governance model, can be standardized, in order to expand the emerging STS theme of "technology development as a real-world experiment".

At present, the domestic and international situation is undergoing profound and complex changes. On the one hand, the world situation is intricate and changing rapidly, and unstable and uncertain factors have increased significantly; on the other hand, due to the impact of the epidemic, the downward pressure on the domestic economy has increased significantly. Labor employment presents serious challenges. In view of this, we urgently need to find a realistic path for the stability and high-quality employment of the Chinese labor force, which is of great significance to the current economic development and social prosperity. In the era of digital economy, the impact of digital transformation on labor employment of manufacturing companies has received increasing attention. Based on the data of listed Chinese A-share manufacturing companies, this paper finds that digital transformation has significantly promoted labor employment and has become a strong driving force for expanding labor demand and stimulating employment in the digital economy era. In terms of impact mechanism, digital transformation can promote labor employment through three channels: market scale effect, business scope effect and productivity effect. Research based on heterogeneity found that for high-tech companies, technology-intensive companies, and companies in the central and western regions, the employment promotion effect of digital transformation is more obvious. Finally, this article also finds that digital transformation can increase the proportion of highly educated and highly skilled personnel, thus optimizing the labor structure of enterprises. Compared with the previous literature, this paper makes expansions in the following three aspects: First, this paper not only studies the overall impact of digital transformation on employment scale, but also sorts out three mechanisms of market size effect, business scope effect and productivity effect, and conducts empirical tests on this basis. The research enriches the theory and empirical evidence of the micro-effects of digital transformation, thus making up for the deficiencies of existing research. Second, this paper further examines the impact of digital transformation on the employment structure, and finds out that digital transformation will increase the proportion of highly educated personnel and highly skilled personnel, improve the human capital structure of enterprises, and form a useful supplement to the microscopic research on human capital. Third, this paper introduces factors such as industry attributes, location, and factor density into empirical analysis to explore whether digital transformation has a heterogeneous impact on the human capital of manufacturing enterprises. The research of this paper reveals the internal mechanism of the impact of digital transformation on the employment scale and structure of enterprises to a certain extent, and has important implications for all parties in the labor market. For individual workers, it is necessary to have a deep understanding of the structural changes in the labor market, pay close attention to new technologies, new formats, new products, and new business models emerging in the process of digital transformation, so as to achieve high-quality matching with the labor market. For colleges and universities, it is necessary to strengthen the quality of personnel training to ensure that graduates have the corresponding job skills. From the government's point of view, the level of public employment services should be further improved to help workers and enterprises better cope with structural unemployment.

With the rapid development of robotics technology in China, it is particularly important to study the impact of robots on China's job market. We use LASSO regression and random forest to calculate the probabilities of 435 occupations being replaced by robots on O*NET (corresponding to more than a thousand sub-occupations in China's occupational classification code). The results show that about 33% of China's labor force is at high risk of being replaced, and gender, age, education level and salary are all correlated with the probabilities. Finally, this paper explores the impact of robots on future employment in China. If China can maintain the average GDP growth rate to 5.5% in the next 30 years under the background of industrial restructuring, the replacement effect of robots on labor will not have a big impact on China's overall employment situation, but when China's average GDP growth rate cannot be maintained at such a growth rate, or the industrial structure is not fully adjusted, the substitution effect of robots on labor will cause unemployment.

The emergence of knowledge broker makes it possible to cross the "Caplan Gap" between academia and politics, which hinders the translation of knowledge into policy. Then, what is knowledge broker? How does it facilitate the transformation of knowledge into policy? The paper first explores the origins, connotations and types of knowledge broker, and then explores the knowledge management function, bridging function, two-way capacity building function, coherence seeking function and knowledge navigation function of knowledge broker in the alignment network linking academia and politics from the perspective of "structural hole" theory. However, knowledge broker also faces three highly challenging and controversial issues, namely, vulnerability, double marginality, and moral hazard. Theoretically clarifying the issue of knowledge broker has important implications for bridging the "last mile" from academic research to public policy in China.

In recent years, a large number of digital platform enterprises with ecological strategies have flourished and many valuable research works have emerged. However, different research fields use their own terms, theories and methods, resulting in theoretical differences on many important issues, which will not only cause ambiguity in practice, but also hinder the further development and integration of digital platform ecosystem researches. Therefore, this study attempts to systematize the researches related to digital platform ecosystem by sorting out the core views of different research schools. On this basis, this study further expounds the possible research directions of digital platform ecosystem in the future, contributes knowledge to the development of platform ecosystem in the face of the digital economy. Some existing studies have confused the concepts of "platform", "platform ecosystem" and "digital platform ecosystem" to a certain extent. This study firstly clarifies the definitions of platform, platform ecosystem and digital platform ecosystem to avoid the ambiguity and confusion of similar concepts. At the same time, this study selects 368 papers that are highly relevant to digital platform ecosystem based on the differences in the concepts and research content of platform, platform ecosystem and digital platform ecosystem, and conducts a statistical analysis of the literature. Secondly, this study compares the research focus of the economic perspective, technical perspective, organizational perspective and strategic perspective by reviewing the literature related to digital platform ecosystem. The economics perspective views platforms primarily as two-sided markets, focuses on the network effects, platform competition and interdependence of different aspects of the market. Technical perspective emphasizes platform as system, focusing on technical architecture design and architecture evaluation of digital platform ecosystem. The organizational perspective explicitly conceptualizes the platform and complementors as a unique form of organization: the meta-organization. The strategic perspective views platforms as a way to find strategic coherence, focuses on the organizational and governance characteristics specific to platform to extend existing strategy theory and examine how complementors use different strategies to influence their value creation activities. Finally, this study proposes directions for more in-depth exploration of future research themes, research content and research design from the perspectives of economics, technology, organization and strategy, integrates the views of various research schools and proposes a theoretical framework, in order to promote the development and integration of future research. This study attempts to break through the isolation between research schools through a systematic literature review to achieve the sorting and integration of cross-disciplinary research. It contributes to the future study of digital platform ecosystem that closely links platform phenomena with classical theories, realize dynamic, richer research scenarios and diverse research methods. The main contributions of this study are as follows. Firstly, drawing on previous researches, we provide definitions and conceptualizations of platform, platform ecosystem and digital platform ecosystem to avoid confusion between these three concepts. Secondly, this study summarizes the core issues of existing research from economic perspective, technical perspective, organizational perspective and strategic perspective, and helps to generate more dialogue across different research schools. Thirdly, we propose possible future research directions for the digital platform ecosystem and hope to make more rapid progress in future research and practice, thus contributing to the study of the digital platform ecosystem.