As an experimental field for deepening China's scientific and technological system reform, the organizational innovation and institutional reform of new-style R&D institutions are closely related. From the theoretical perspective of institutional entrepreneurship, the organizational innovation of new-style R&D institutions has been redefined, and a grounded theory method has been used to construct an organizational innovation process model. Research has found that new-style R&D institutions integrate and drive stakeholders externally, establish the identity of "innovation hubs", create new institutional templates internally, and construct and interpret the new identity of "innovation complexes". The two processes dynamically collaborate to jointly shape the new institutional logic that binds technology and economy. A traceable and holistic theoretical explanation for the institutional advantages of new-style R&D institutions has been presented, providing reference and inspiration for establishing and improving modern scientific research institution system and promoting the modernization of the scientific and technological innovation governance system.

Deeply cultivating the fertile ground of data elements marketization to release the value of data elements and help banks' digital transformation, which is a key initiative to make a great article of digital finance and to fully exert the financial blood supply function. Based on the panel data of 284 prefecture-level cities from 2010 to 2021, the impact of data element marketization on the banks' digital transformation was deeply explored. The results show that data elements marketization helps to promote banks' digital transformation, while this impact exhibits significant heterogeneous characteristics in terms of city capacity, financial resilience and business credit environment. Mechanism analysis reveals that resource allocation efficiency is the channel through which data elements marketization promotes banks' digital transformation, and fintech and banking competition play a positive moderating effect in the process of data elements marketization empowering banks' digital transformation. The economic consequence test finds that the facilitating effect of data elements marketization on banks' digital transformation can further act on the development of the real economy. Theoretical and practical references are provided for the implementation path of banks' digital transformation.

The rapid development of digital technology has eased the pressure on manufacturing. In order to prove that industrial intelligence can solve the problem of excess capacity of enterprises, the data of manufacturing enterprises listed on Shanghai and Shenzhen A-shares from 2011 to 2019 were used to study the impact of industrial intelligence on capacity utilization. The research results show that industrial intelligence can significantly improve the capacity utilization rate of enterprises, and the impact of industrial intelligence on capacity utilization of enterprises is still confirmed by using the "WinGo similar word database" to improve the measurement range of industrial intelligence indicators. Industrial intelligence can promote the improvement of the capacity utilization rate of enterprises by improving the efficiency of resource allocation, increasing the input of human capital elements and increasing the export demand of enterprises, and has a greater impact on non-state-owned enterprises, western regions, non-high-tech enterprises and technology-intensive enterprises.

As an important force driving the high-quality development of the manufacturing industry, "SRDI" (Specialized, Refinement, Differential and Innovation) small and medium-sized enterprises (SMEs) play an important role in improving the quality and safety of the manufacturing industry. "SRDI" SMEs can enhance the quality of the manufacturing industry by strengthening the innovation power of the manufacturing industry, improving the brand value, and promoting transformation and upgrading. By promoting the integrity of the manufacturing industry chain, enhancing industrial advantages and promoting the smooth flow of the industry chain, they will improve the industrial safety of the manufacturing industry. At the same time, a technology-led industrial safety guarantee mode, a market-driven industrial safety guarantee mode, a technology-led efficiency enhancement mode and a market-driven efficiency optimization mode have been formed. Based on such consideration, efforts should be made to develop "SRDI" SMEs in key niche areas, enhance their capacity, and promote their integration and development with large enterprises. For the government and relevant departments, they should strategically plan the development of "SRDI" SMEs, improve the precision of policy support, strengthen the supply of basic research technology, and improve the business environment.

Government data openness will have a significant impact on promoting green economic innovation activities. Investigating the mechanism of how government data openness affects urban green innovation efficiency is of crucial significance for accurately understanding their relationship, promoting efficiency in facilitating green economic development. Using panel data from 286 prefecture-level cities from 2011 to 2021, a multi-period double-difference model was employed to explore the impact of government data openness on urban green innovation efficiency. Government data openness effectively enhances urban green innovation efficiency. The results show that open government data can effectively enhance the efficiency of urban green innovation, and the impact is mainly realized through three paths: promoting talent concentration, stimulating innovation and entrepreneurship, and optimizing the regulatory environment. Heterogeneity analysis shows that the effect of open government data on urban green innovation efficiency is stronger in cities in central and western China, with high public concern for environmental protection and high levels of network infrastructure. Extended research finds that open government data can realize the "quantitative and qualitative increase" of green innovation, and that improving the quality of open government data platforms can strengthen its green innovation effect. In addition, this effect is also verified at the micro-firm level. The article provides useful insights for promoting high-quality open government data and green innovation in cities, and provides empirical references for exploring policy design that meets the development requirements of new quality productivity.

By selecting the panel data of China's manufacturing industry from 2005 to 2020, the two-way fixed effect model was used to examine the impact of digital transformation on innovation, and the intermediary effect model was used to examine its impact mechanism based on market, technology and product dimensions. The research results show that digital transformation has a significant innovation effect, and shows the dual heterogeneity of industry and investment. On the one hand, digital transformation inhibits innovation in labor resource intensive industries, but has a positive impact on innovation in capital technology intensive industries. On the other hand, hardware digital transformation has a stronger innovation effect than software digital transformation. Market scale effect, technology transformation effect and product innovation effect are the three major channels for digital transformation to promote manufacturing innovation. Among them, hardware digital transformation can lead to technology transformation and upgrading and product innovation and development to promote innovation, while software digital transformation can drive innovation through local market scale expansion and product innovation and development.

Due to the increasingly volatile, uncertain, complex, and ambiguous environment, the development and implementation of discontinuous innovation is becoming more critical for firms' survival and development. However, previous studies on discontinuous innovation have mainly focused on theoretical research, and little is known about how to systematically cultivate and implement discontinuous innovation. Based on upper echelons theory and social cognitive theory, it has been probed that CEO advice seeking may be an important driver of discontinuous innovation, with relational learning playing a mediating role, and corporate entrepreneurial orientation playing a moderating role. Data collected from 289 CEOs have shown that both external and internal advice seeking are important determinants of a firm's discontinuous innovation; relational learning has played a partial mediating role in these relationships. Additionally, corporate entrepreneurial orientation has been found to positively moderate the mediating role of relational learning in the relationship between CEO internal advice seeking and discontinuous innovation. Surprisingly, the interaction of CEO external advice seeking and corporate entrepreneurial orientation on subsequent discontinuous innovation is indistinctive. The findings of this study have important theoretical and practical implications for cultivating discontinuous innovation, utilizing CEO advice seeking, optimizing relational learning capability, and promoting corporate entrepreneurial orientation.

The way companies create value is shifting, with more companies achieving value co-creation through participation in the innovation ecosystem. Based on the open innovation theory, 332 high-tech firms participating in the innovation ecosystem were taken as samples, the impact of coupled knowledge flows on value co-creation of innovation ecosystem and the moderating role of knowledge stocks and innovation ecosystem normativity were explored by using hierarchical regression analysis method. The results of the empirical study show that coupled knowledge flows has a significant positive impact on value co-creation of innovation ecosystem. Both knowledge breadth and knowledge depth have a significant positive moderating role on the relationship between coupled knowledge flows and value co-creation. Innovation ecosystem normativity has a significant positive moderating role on the relationship between coupled knowledge flows and value co-creation. It analyzes the value co-creation influence mechanism from the perspectives of external environments and internal environments of firms, which not only enriches the theoretical research related to knowledge flows, but also provides certain reference for innovation ecosystem to realize value co-creation.

China's steel industry has a huge demand for imported iron ore and does not have the pricing power for imported iron ore, so there is a high risk in the supply of iron ore. Since there are many factors affecting the price of imported iron ore and they are interrelated, there is still a lack of authoritative research results on the causes of fluctuations in the spot price of imported iron ore. Based on the existing research on the price of imported iron ore, factors such as iron ore supply and demand, transportation costs, pricing models, finance, and economic development were selected as factors affecting the price of iron ore, and determines the relevant representative indicators of each factor. By constructing a Lasso regression model, the main influencing factors of the spot price of imported iron ore and the complex interactive relationship between these factors are clarified, and the influence of each influencing factor is identified by the variance decomposition method. The results show that the Platts iron ore price index, shipping index, US dollar index, and domestic iron ore production are the main factors affecting the spot price of imported iron ore, among which the Platts iron ore price index is the most critical factor. Based on the model results, it puts forward corresponding policy recommendations from the perspectives of strengthening iron ore market supervision and optimizing iron ore transportation costs.

In the context of the digital economy, the full-link digital transformation, which encompasses the entire field, frequently encounters a broader range of historical constraints. It often results traditional enterprises being significantly constrained by historical inertia. Overcoming organizational inertia has become a primary objective for traditional enterprises digital transformation. This exploratory case study examines Feihe Dairy's digital transformation practice process to analyze the organizational inertia and its overcoming mechanisms within traditional enterprises undergoing full-link digital transformation. The results demonstrate that during the process of full-link digital transformation. The manifestation scope of organizational inertia has been expanded, and enterprises are confronted with the resistance to change of cross-functional cognitive inertia and cross-functional structural inertia. Traditional enterprises overcome cross-functional organizational inertia by orchestrating resources from the outside-in, and there is heterogeneity in the mechanisms by which different cross-functional inertia is overcome. To overcome cross-functional cognitive inertia, enterprises adopt a resource orchestration strategy of "exogenous structuring-inherited capability-replacement leverage". To overcome cross-functional structural inertia, enterprises adopt a resource orchestration strategy of "exogenous structuring-pioneering capabilities-combinational leverage". It not only extends the theory of organizational inertia in the context of digital transformation, but also provides practical guidelines for traditional enterprises to successfully promote digital transformation.