As a digital technology platform with empowerment, industrial internet platform could empower the digital and intellectual transformation of SMEs, which is becoming an important engine for the cultivation of new quality productivity. Based on the theoretical analysis and case interpretation, the connotation, characteristics and elements of industrial Internet platform empowerment are clarified, its internal mechanism was revealed. The findings are as follows. Industrial internet platform empowerment is an interpretation that multi-actor apply digital and intelligent technology to co-create value based on the interactive of opportunities and resources. It has characteristics of digital and intelligent technology integrative, generative and multi-actor, including digital and intelligent industrial technology, digital and intelligent industrial opportunities, digital and intelligent industrial resources multi-actor elements. Industrial internet platform empowerment includes structural, field, psychological and resource empowerment, following the value logic of "value proposition, value creation and transmission, value capture". The IPO research framework for the internal mechanism of industrial internet platform empowerment was built, technological, organizational and environmental factors could affect the empowerment process of industrial internet platform and then produce positive and negative effects. It enriches and refines the research on industrial internet platform empowerment from new themes, new perspectives and new mechanisms, provide decision-making basis for activating the empowerment effect of industrial internet platforms, and provide practical guidance for cultivating new quality productivity based on industrial internet platforms to promote high-quality development of platforms.

Based on fixed effects panel model and panel data from Chinese listed companies spanning between 2017 and 2021, the influence of environmental information regulation on the reduction of corporate carbon emissions was examined. It is found that environmental information regulations exert a notably positive effect on the mitigation of corporate carbon emissions. Carbon emissions of designated polluting enterprises are observed to markedly decrease in the second year after being regulated. In addition, the efficiency of environmental regulatory policies in reducing carbon emissions extends beyond the directly regulated entities, manifesting in a geographical spillover that leads to a reduction in carbon emissions among non-regulated enterprises within a 20km radius. Heterogeneity analysis reveals that the regulation has a more significant effect on non-state-owned companies, those located in the eastern regions, and those possess lower levels of technology. Furthermore, the environmental information regulation affect the carbon emissions reduction of enterprises continuously. The empirical findings provide new theoretical insights for government agencies, supporting the use of environmental information regulation as a tool to promote corporate green 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.

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.

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.

Under the background of the digital economy, it is worth exploring whether digital technology can deeply empower the business transformation of commercial banks to break enterprises' financing dilemmas. Based on the loan data of Chinese listed enterprises from 2011 to 2021, the impact of commercial banks' digital transformation on enterprise loan capital allocation was theoretically analyzed and empirically examined. The results show that the digital transformation of commercial banks can significantly optimize the formulation of enterprise loan agreements, manifesting in the increase of loan size, the extension of maturity, the reduction of interest margin, and the upgrading of credit. The mechanism analysis shows that the digital transformation of commercial banks mainly optimizes the formulation of enterprise loan agreements by reducing risk-bearing and alleviating information asymmetry. Further analysis shows that commercial banks' digital transformation can improve credit resource allocation efficiency. The heterogeneity analysis shows that the optimization effect of commercial banks' digital transformation is more obvious in private enterprises and high-tech enterprises. Therefore, digital transformation not only enriches the microeconomic benefits of commercial banks but also provides a valuable reference for alleviating enterprises' financing difficulties and promoting the high-quality development of the real economy.

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.

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.

Technological innovation is characterized by large-scale investment, high conversion cost, long investment cycle, etc., which will profoundly affect corporate cost habits. Based on this, in order to empirically test the impact of corporate innovation on cost stickiness and its mechanism of action, the cost stickiness existence test model and its extension model were constructed. The above models used relevant data of A-share listed companies in Shanghai and Shenzhen from 2009 to 2021 under the premise of considering the truncation bias of patent data. It has been found that corporate innovation can significantly improve cost stickiness. The mechanism tests show that corporate innovation increases cost stickiness mainly through three paths: reducing the efficiency of supply chain resource operation, increasing the optimistic expectation of management, and aggravating the agency problem. Heterogeneity analyses show that the promotion effect of corporate innovation on cost stickiness is more significant in small and medium-sized private firms and firms in regions with a higher degree of industry competition. The findings have important implications for enhancing corporate resource allocation efficiency and realizing high-quality development.

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.