With the intensification of global competition in S&T，there are a lot of breakpoints，blocking points and pain points in China's industrial chain，and the problem of low domestic substitution rate of key links is becoming increasingly prominent. It has become a topic of common concern in both academia and practice how to promote the SRDI enterprises with "unique skills" in the segmentation field to embed quickly into the industrial chain and realize their high-quality growth while empowering the industrial chain. Based on the theories of resource orchestration and enterprise growth，and from the perspective of two-way empowerment of the industry chain，this paper made a dual case study of two SRDI enterprises，and used the grounded theory and Nvivo software to encode the case data，aiming at exploring the internal mechanism of spiral high-quality growth of the SRDI enterprises. The research showed that the process of high-quality growth of SRDI enterprises includes three stages： precise positioning，high coupling and related expansion. In each stage，the complementing chain mechanism and strengthening chain mechanism co-evolve from the perspective of industrial chain empowerment，forming a spiral high-quality growth path that rises both horizontally and vertically，and they are interlocking link by link and progressing step by step. In order to achieve high-quality growth in terms of both "quality" and "quantity"，enterprises need to deploy all dimensions of resource orchestration at each stage. Generally speaking，the importance of resource structuring is very high at all stages，and the importance of turning resources into capability and resource leveraging is gradually improved with the evolution of stages. This paper has not only deepened theoretically the research on the high-quality growth of enterprises in the context of China，but also considered the relationship between complementing chain mechanism and strengthening chain mechanism，and expanded the applicable context and boundary of industrial chain empowerment in the new situation. The research conclusion will have certain reference value for the SRDI enterprises to play a key role in the industrial chain.

The black-box problem of artificial intelligence （AI） is troubling users to accept AI for knowledge creation. The explainable AI is one of the important solutions to solve the problem. However，existing literature has rarely explored how the explainability of AI affects users' acceptance of AI for knowledge creation. Therefore，this study focused on exploring the question，including the path mechanism of explainability affecting users' acceptance of AI for knowledge creation，and the moderating effect of user characteristics on the path. This paper proposed some theoretical hypotheses and conducted the structural equation modeling and hierarchical regression analysis on 425 questionnaire data to test the hypotheses. The results showed that the three dimensions of explainability，i.e.，completeness，format，and currency，have an influence on users' acceptance of AI for knowledge creation；the influence of explainability on users' acceptance of AI for knowledge creation is indirect，with perceived usefulness and perceived ease of use playing a mediating role. The results also showed that the influence of explainability on users' acceptance of AI for knowledge creation is moderated by user characteristics such as education level，usage experience，and position. This study will not only contribute to the theories of AI knowledge creation and AI explainability theory by providing a user acceptance model based on the explainability，but also provide insights for enterprises to correctly play the role of AI explainability and promote AI knowledge creation.

The entry of technology enterprises serves as the innovation engine for achieving high-quality economic development. Utilizing a dataset that matches the registration information of industrial and commercial enterprises with 283 prefecture-level cities from 2004 to 2018，this paper adopted the establishment of the Yangtze River Delta Urban Economic Coordination Committee as a quasi-natural experiment，and used the machine learning method to identify the impact of unified market construction on the entry of technology enterprises. The results showed that the construction of a unified market significantly stimulates the increase in the number of technology enterprises and the enhancement of their scale，and the above promotion effect is particularly pronounced in samples characterized by smaller city size，higher financial constraints and weaker government innovation support. The mechanism analysis revealed that the construction of a unified market facilitates the entry of technology enterprises through the effects of talent agglomeration，technology agglomeration，and venture capital agglomeration. Further research uncovered that，in comparison with core cities，the construction of a unified market has a stronger effect on the number and scale of technology enterprises entering peripheral cities，thereby contributing to regional balanced development. The above findings have not only provided a novel perspective for understanding the economic effects of unified national market construction，but also provided insights for the in-depth promotion of unified national market construction and the formulation of policies aimed at regional balanced development.

The study of the impact of environmental regulations on green patent output has become a hot topic in academic research. The dual externalities in this impact process need to be addressed through the joint efforts of environmental regulations and intellectual property protection. Integrating environmental regulations，green patents，and intellectual property protection into a unified analytical framework is significant for exploring the effective solutions to environmental problems. This paper used the data from 11 provincial-level regions in the Yangtze River Economic Belt from 2010 to 2021 to examine the impact of environmental regulations on green patent output，and further analysed the moderating effect of intellectual property protection. The research found that： （1） there is a U-shaped relationship between environmental regulations and the quantity of green patent output；（2） Environmental regulations exhibit complex nonlinear characteristics on the quality of green patent output，and after crossing the inflection point of the U-shaped relationship，they can effectively improve the quality of green patent output；and （3） Intellectual property protection plays a significant positive regulatory role in the environmental regulation process affecting the quantity and quality of green patent output. This study has filled the gap in theoretical research on the impact of environmental regulations on green patent output，and will provide practical insights for balancing environmental protection and economic development in the Yangtze River Economic Belt.

Environmental supervision is an important part of government environmental governance and a key driving factor of green innovation. Based on the panel data of A-share listed companies in 120 major cities in China from 2008 to 2018，this paper examined the relationship between environmental supervision and corporate green innovation from the perspective of promotion pressure by using the fixed effect and moderating effect models. The study found that： （1） Environmental supervision only significantly promotes the quantity of corporate green innovation，rather than the quality，which induces the "bubble" phenomenon of green innovation；（2） The promotion pressure positively regulates the relationship between environmental supervision and the quantity of green innovation and enhances the "bubble" effect of environmental supervision；（3） The "bubble" phenomenon of green innovation caused by environmental supervision is concentrated in heavily polluting industries and eastern regions. It has a significant role in promoting the quality and quantity of green innovation in highly urbanized regions. However，the regulatory effect of promotion pressure is not effective；（4） Environmental supervision affects green innovation through industrial transfer，and causes neighboring areas to become "pollution havens". The central vertical supervision weakens the "bubble" phenomenon of green innovation. This paper has deepened the research scope and boundary conditions of macro-policy and micro-corporate innovation，which brings a new perspective and theoretical framework for existing research. It will also provide beneficial enlightenment and empirical evidence for optimizing environmental supervision policies and promoting corporate green transformation.

As the capital market is gradually opening up，foreign institutional investors will impose higher requirements for the ESG performance of firms based on the international ESG standards and shareholding preferences. However，it is still not clear whether it can be a beneficial complementary mechanism for non-rigid ESG institutional environment in China. Therefore，this paper selected Chinese A-share listed firms of Shanghai and Shenzhen Stock Exchange from 2009 to 2022 as the sample and examined the influence mechanism of foreign institutional investors' shareholding on the ESG performance of firms with the panel OLS regression with fixed-effects. The paper comprised four conclusions. Firstly，foreign institutional investors' shareholding improves the ESG performance of firms. This conclusion remains robust after the endogeneity and robustness tests. Secondly，foreign institutional investors' shareholding improves the ESG performance through reducing managerial myopia，alleviating financing constraints，and enhancing risk-taking. Thirdly，analyst following，media supervision，and government constraint further enhance the positive effect of foreign institutional investors' shareholding on the ESG performance of firms. Finally，foreign institutional investors' shareholding further promotes exploratory innovation through improving the ESG performance of firms. Considering China's non-rigid ESG institutional environment，the departments concerned should improve the mechanism of China capital market opening and fully play the collaborative promotion effect of external stakeholders including analysts，media，and government，in order to increase the positive governance effect of foreign institutional investors' shareholding on the ESG performance of firms.

This study aims to promote the diffusion of green technological innovation，and mitigate the dual pressures of energy shortages and environmental degradation on socio-economic development. We categorized the diffusion of green technological innovation into two stages： diffusion among cluster enterprises and diffusion of green innovation products among market consumers，based on the interactive relationship between innovation subjects and demand subjects. Given the heterogeneity of the diffusion network，a three-stage game model for diffusion of green technological innovation under heterogeneous supply-demand network environments was constructed，consisting of game players，evolutionary rules，and network structures. A representative case study was chosen for numerical simulation analysis. The research showed that government incentives for dissemination of green technological innovation among cluster enterprises and adoption of green products by consumers are notably affected by the cluster's organizational structure and the number of green innovative enterprises，respectively. Furthermore，the impact of these incentives diminishes as their scale increases，reflecting the principle of diminishing marginal returns. Compared to peripheral enterprises，core enterprises are more heavily influenced by the cluster's green innovation organizational structure when deciding to adopt green technology，and they demonstrate greater sensitivity to government subsidies and the maturity of green technology. Market demand for green products follows the principle of price competition，meaning that lowering prices can stimulate their adoption. Furthermore，technological maturity and environmental benefits of green products are key factors influencing their adoption. The stability of the green technology dissemination process is affected by the network structure of the dissemination group. Lowering research and development costs or product prices can effectively enhance this stability. The research findings have identified stable conditions favorable to the diffusion of green technological innovation and defined optimal government subsidy boundaries under specific conditions，and they will provide theoretical and practical guidance for enhancing diffusion efficiency.

Enhancing the global influence of Chinese enterprises in technology standards is crucial for achieving high-level S&T self-reliance. This study applied the network orchestration theory to explore how CRRC Zhuzhou Locomotive Co.，Ltd. has contributed to integrating standards along the Belt and Road Initiative. The study found that： （1） The evolution of the technology standards innovation ecosystem in the joint development of the Belt and Road Initiative shows clear stage-based characteristics. During the iterative process of "incubation-expansion-stable development，" the dependency on network relationships and the level of technological complementarity gradually increase. The ecosystem follows a trajectory that evolves from localized pilot projects to global coordination. （2） The network orchestration practices of core enterprises play a critical role in the implementation of governance mechanisms within the ecosystem. These practices consist of three key components： legal coupling exploration，innovation leverage management，and network ecosystem expansion. The study identified a shift in governance from a single-firm-dominant to co-governance. （3） The governance logic of the jointly developed Belt and Road technology standard innovation ecosystem shows a transition from legitimization logic to integration logic. This study has developed a theoretical framework that extends application of the network orchestration theory in a multi-national context. It has also explored how Chinese enterprises navigate technological breakthroughs and standard-setting under the pressures of Sino-US technological decoupling.

Open-source projects，particularly those in the domain of artificial intelligence，have become vital carriers for firms to achieve digital technological breakthroughs. Yet，how to choose an appropriate license that can ensure the sustainable development of open-source projects remains an unsettled question. Based on a sample of 2，536，526 open-source projects from GitHub，this study constructed a theoretical model of the differential impacts of open-source license on the sustainability of open-source projects in the context of technological complexity and empirically tested it by using the negative binomial regression method. The results showed that： （1） the adoption of open-source license has a significant positive effect on the sustainable development of open-source projects，manifested as increases in user interest and development activeness；（2） compared to restrictive license，permissive license can promote the sustainable development of open-source projects to a larger extent；（3） the license with patent grant clause has a stronger promoting effect on the sustainable development of projects than that without such a clause；and （4） technological complexity positively moderates the relationship between open-source license and the sustainability of open-source projects. This study has revealed the boundary conditions under which open-source license affects the sustainable development of open-source projects，thus helping firms improve governance mechanisms of open-source projects oriented towards complex digital technologies and offering insights for building a sustainable and prosperous open-source ecosystem.

The patent pledge financing policy is an important path to help enterprises to alleviate difficulties，which is of far-reaching significance for enterprises to optimize their asset structure and achieve high-quality development. However，there is a lack of research on the impact of patent pledge financing policies on the dynamic adjustment of corporate capital structure. This paper used a multi-period DID method to test the impact of patent pledge pilot policy on the dynamic adjustment of corporate capital structure based on the sample of China's A-share listed companies from 2001 to 2022. This paper found that the pilot policy of patent pledge can reduce the deviation of corporate capital structure. The mechanism analysis showed that the role of patent pledge pilot policy in reducing capital structure deviation is mainly achieved by alleviating financing constraints. The heterogeneity analysis showed that the reduction effect of patent pledge pilot policy on the deviation of corporate capital structure is more obvious in enterprises with non-state-owned nature，smaller scale and higher level of industry competition. From the perspective of adjustment speed，the patent pledge pilot policy can improve the speed of corporate capital structure adjustment；and after distinguishing the adjustment direction，it was found that the patent pledge pilot policy can not only improve the upward adjustment speed of corporate capital structure，but also improve the downward adjustment speed of corporate capital structure. From the perspective of adjustment methods，the patent pledge pilot policy mainly improves the speed of corporate capital structure adjustment through debt financing. This study will not only enrich the related research on the influencing factors of dynamic adjustment of enterprise capital structure and the economic effect of patent pledge policy，but also provide decision-making reference for further execution of the pilot work of patent pledge and optimization of the financing structure of enterprises.