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.

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.

In the era of digital economy，digital transformation has become an inevitable trajectory of enterprise development. From a supply chain perspective，the costumer digital transformation can exert substantial influences on supplier through supply chain channels. However，does the digital transformation of costumer affect the digital technological innovation of supplier? To address this question，this paper established an econometric model by matching the data among listed company on China' Shanghai and Shenzhen A-share market from 2011 to 2022. It empirically examined the spillover effects of costumer' digital transformation on supplier' digital technological innovation and its underlying mechanisms. The results indicated： （1） The digital transformation of costumer exerts a positive spillover effect on the digital technological innovation of supplier，a series of robustness tests and endogeneity discussions confirm the reliability of this conclusion；（2） The impact of customer companies' digital transformation on supplier companies' digital technological innovation is stronger when： the supplier and customer companies operate in the same industry，or the supplier companies' industry exhibits a high level of digital transformation；（3） the customer companies' digital transformation promotes supplier companies' digital technology innovation through two channels： information spillovers and supply-demand alignment. The intensity of cooperation and industry competition strength positively moderate these relationships. This study revealed the underlying mechanism of customer companies' digital transformation influencing supplier companies' digital technology innovation from a supply chain perspective，enriching the economic consequences of corporate digital transformation and providing theoretical support and decision-making references for advancing corporate digital technology innovation practices；（2） this effect is more pronounced when supplier and customer operate within the same industry or when supplier is located in highly digitized sectors；and （3） the customer digital transformation enhances supplier innovation through information spillovers and improved supply-demand alignment，with cooperative intensity and industry competition positively moderating these mechanisms. Overall，this study has elucidated the mechanisms through which customer digital transformation influences supplier digital technological innovation from a supply chain perspective. It has extended the literature on the economic consequences of enterprise digital transformation and will provide theoretical insights and policy implications for fostering digital technological innovation.

The effective response to the paradoxical and unified contradictions in enterprise digital innovation is not only the premise for comprehensive realization of digital innovation but also an important issue for the development of new quality productive forces driven by digital innovation. However，the academic community currently lacks a systematic review of this knowledge framework. This paper adopted a bibliometric and systematic review method，by screening 108 relevant papers from high-level domestic and international journals to organize the enterprise digital innovation paradox. It constructed a research framework of "concept classification-causes-performance-response mechanisms". The main conclusions are as follows： first，the concept of enterprise digital innovation paradox is defined，forming a three-dimensional classification system of digital technology innovation paradox，digital market innovation paradox，and digital organizational innovation paradox；second，the causes and manifestations of enterprise digital innovation paradox are summarized in the technical，market，and organizational levels；and third，19 mechanisms for coping with digital innovation paradoxes are summarized from seven theoretical perspectives： dynamic capabilities，modularity，optimal differentiation，institutional logic，data ethics，paradoxical leadership，and organizational ambidexterity. Finally，the paper has further proposed potential paradoxical issues that may arise in the future，aiming to provide a detailed theoretical basis and analytical tools for subsequent research.

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.

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 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.

In the era of digital intelligence，building the ecological dominance of leading-chain enterprises is the key driver in the security and high-quality development of a chain industry. Drawing on the resource concerto theory，this paper conducted a longitudinal case study of Sany Group to explore the evolutionary mechanisms involving digital intelligence empowerment，resource orchestration，and ecological dominance of leading-chain enterprises. The findings revealed that digital intelligence exerts a three-dimensional empowering effect on enhancing the ecological dominance of leading-chain enterprises，manifested through organizational breakdown，cross-border integration，and dynamic adjustment. The leading-chain enterprises cultivate their ecological dominance by adopting a heterogeneous approach in different stages. By framing resource concerto as a proactive capability for resource management，leading-chain enterprises achieve a positive feedback loop in the industrial chain ecology through a combination of "whole machine entry and high flexibility"，"strategic cooperation and vertical integration"，and "perfect ecology and three-dimensional co-evolution". Furthermore，the leading-chain enterprises have undergone an evolutionary process evolving from point-based initiatives to network-centric integration to establishment of ecological dominance. Specifically，the leading-chain enterprises form a driving force of technological innovation，product market guidance，and resource integration in the industrial chain ecosystem through three modes，namely，point breakthrough，chain collaboration，and ecological integration. This research has revealed the resource concerto mechanism of the leading-chain enterprises during the process of the evolution of the ecological dominance empowered by digital intelligence，and it will provide theoretical guidance and practical implications for the digital transformation of industrial chains，dynamic resource management，and cultivation of the ecological dominance of leading-chain enterprises.

Under the guidance of consolidating and improving the integrated national strategic system and capabilities，the dilemma of how to build organizational identity has become the focus of academic attention. This study selected a certain heavy truck enterprise as the research object，and deconstructed its organizational identity change process based on the meaning construction theory and cognitive schema theory. The results showed that： （1） Organizational identity follows the meaning construction process of "goal setting-perceived problem-identity response" and meaning construction has two functions： scanning environmental resources inside and outside the organization and guiding the transformation from imagination to cognition；（2） Organizational identity follows the meaning construction process of "goal setting-perceived problem-identity response"；（3） Identity cognitive schema is the logical starting point of organizational identity change. With the evolution of the richness and relevance of identity cognitive schema，it provides enterprises with a new organizational identity more clearly and specifically. （4） The identity change of integrated organization shows a path transition from "single-point integrated organization identity" to "full-chain integrated organization identity" and then to "multi-dimensional integrated organization identity". The above conclusions will provide a basis for the construction of the mechanism model of enterprise organizational identity change in the process of integration，enrich the theoretical explanation of meaning construction theory and organizational identity change theory to military-civilian integration，and help to understand and deepen the internal law of building an integrated national strategic system and capacity development.

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.