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.

Promoting the deep integration of S&T innovation and industrial innovation through an enterprise-led innovation consortium is the key to make breakthroughs in key core technologies and accelerate the development of new quality productive forces. Based on the evolutionary game theory，this paper used the Matlab software to simulate and analyze the strategy selection of innovation subjects under changes in different parameters，revealing the dynamic evolution law according to which the S&T leading enterprises lead innovation consortium to make continuous breakthroughs in key core technologies. The research found that： （1） The government's willingness of participation is a critical factor influencing the cooperation among the innovation consortium members，with a particularly significant impact on S&T leading enterprises；Enhancing the participation willingness of S&T leading enterprises can influence the enthusiasm of member units to some extent，while conversely，increasing the participation willingness of member units has a minimal effect on the strategic choices of the government and S&T leading enterprises；（2） Compared with the incentive mechanism，a reasonable punishment mechanism can more effectively promote the continued participation and enthusiasm of each member of the innovation consortium in key core technology research；（3） The income from the transformation of S&T achievements significantly impacts the enthusiasm of the innovation consortium members to continue participating in key core technology research，with a particularly pronounced effect on S&T leading enterprises；（4） When all the subjects of the innovation consortium adopt a positive strategy，the willingness of S&T leading enterprises to participate increases with the increase of the success probability of the key core technology breakthroughs. However，if only one party is actively innovating，the other party are unlikely to choose active innovation，and the government will not choose a strategy that is highly involved in support. Finally，this paper proposed the following countermeasures and suggestions： strengthening a well-functioning government，improving an efficient market，cultivating powerful subjects，and building a tolerant society within an integrated four-in-one collaborative system. These measures will empower the innovation consortium led by S&T leading enterprises，stimulate the innovation vitality of multiple subjects，achieve continuous breakthroughs in key core technologies，and cultivate new quality productive forces and new kinetic energy.

Promoting the deep integration of advanced manufacturing and modern service industries （"integration of two industries"） is a crucial pathway to enhance the core competitiveness of the manufacturing sector，accelerate the formation of new quality productive forces，and achieve Chinese-style modernization. Data openness provides a new opportunity for this endeavor. Based on the data from Chinese cities spanning 2006 to 2020，this paper constructed a quasi-natural experiment using the launch of local government public data platforms，and employed the multi-period difference-in-differences models and mediation effect models to empirically test the impact and mechanisms of data openness on the "integration of two industries". The study found that： （1） Data openness significantly promotes the "integration of two industries"；（2） The heterogeneity analysis indicated that the promoting effect of data openness on the "integration of two industries" is more pronounced in cities located southeast of the Hu Huanyong Line，cities with lower administrative levels，and cities with favorable business environments；and （3） The mechanism analysis revealed that data openness helps reduce transaction costs，enhance intellectual property protection，and accelerate the digital transformation of both manufacturing and service industries，thereby empowering the "integration of two industries". This study will provide theoretical and empirical support for how data openness can empower the "integration of two industries" and offer policy recommendations for promoting the integration of the two industries，creating new manufacturing，new services，and new business models，and advancing Chinese-style modernization.

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.

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 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.

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 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.

With the deep integration of digitalization into urban development，it is crucial to systematically investigate the intricate relationship and underlying mechanisms between big data strategies and the advancement of new quality productive forces in cities to fully unleash their potential. Leveraging the quasi-natural experiment of national big data comprehensive pilot zone，this study employed the panel data from 277 prefecture-level cities spanning from 2009 to 2021 and adopted the difference-in-differences （DID） model to rigorously examine the impact of big data strategies on urban new quality productive forces and their underlying mechanisms. The findings revealed that the big data strategies significantly enhance new quality productive forces，with pronounced regional heterogeneity and temporal variation in policy effects. Specifically，the policy exhibits stronger promotional effects in eastern China compared to the central and western regions，and its impact is more substantial in early-policy-adopting cities than in late-policy-adopting cities. Through mediation analysis，we identified knowledge spillovers as the dominant mediating channel by which big data strategies contribute to the advancement of new quality productive forces. Further spatial econometric analysis confirmed a distinct spatial spillover effect. These conclusions will provide actionable insights for cultivating and developing new quality productive forces，while offering empirical support for advancing China's big data strategy to achieve the goals of "Digital China" and "Data Powerhouse".