Since the reform and opening-up, a large number of Chinese enterprises have been enlisted in the Fortune Global 500. The emergence of these outstanding firms is closely tied to their effective management practices. However, management theories derived from China′s management practices remain scarce, thus highlighting a significant gap where theoretical development lags behind advanced practices. As a result, the task of building an autonomous Chinese management knowledge system is both pressing and formidable. This paper focused on the development of management theories based on Chinese management practices and reviewed three central debates: (1) whether there exists Chinese management, (2) whether there exists Chinese management theory, and (3) how to develop management theory based on the Chinese practice. The paper summarized the "Four Quadrants and Two Cycles" Communication Path of Chinese and Western Management Theory and Practice and, based on the "Scientific Process" model, explored the logic and methodology of theory building grounded in the Chinese management practice. It also discussed the role of contextual factors in shaping theoretical development. This study has responded to the national call for constructing an autonomous knowledge system and it will provide valuable guidance for Chinese management scholars seeking to build theories rooted in local practices.

   Improving the structural resilience of innovation networks is an important theoretical and practical issue facing the high-quality development of the AI industry. This paper adopted the AI industry in Shanghai as an example, constructed a cooperative innovation network through text mining, and then used the ERGM to reveal the impact of endogenous factors of the innovation network on its structural resilience. The research found that: (1) The evolution of the structural resilience of the innovation network in Shanghai′s AI industry can be divided into three main stages: slow growth, rapid growth, and maintaining stability. The continuous improvement of network heterogeneity is the key driver for the transformation of the innovation network from an assortative core network to a resilient network; (2) The intermediary structure negatively affects the structural resilience of the artificial intelligence industry′s innovation network; (3) The expansive structure negatively affects the structural resilience of the AI industry′s innovation network in general, but the three-star structure positively affects its structural resilience. This study has addressed the gap in research on the resilience of innovation networks in the artificial intelligence industry, and it will help to deepen the theoretical understanding of innovation network resilience, thus having positive implications for enriching the data sources of innovation network research.

    Measuring the development level of digital-real integration in Chinese cities and analyzing its spatial-temporal evolution and influencing factors can provide quantitative support for accelerating the Digital China strategy. Taking 283 cities in China as the research objects, this paper explored the spatial-temporal evolution characteristics and influencing factors of digital-real integration in Chinese cities from 2011 to 2021 by adopting methods such as entropy method, coupling coordination degree, kernel density, Dagum Gini coefficient, and spatial econometric model. The results showed that: (1) during the sample period, the level of digital-real integration shows an increasing trend year by year, but the overall level is relatively low, and the trend of widening inter-regional gaps is evident; the eastern region leads, while the central, western, and northeastern regions lag behind, but spatially exhibit the characteristics of blossoming in multiple points, evolving from points to lines and then to planes; (2) the four major regions have their respective evolution patterns in terms of peak shifts, distribution trends, and polarization, with an overall good evolution trend but a slight polarization phenomenon emerging; (3) the relative differences in digital-real integration show a characteristic of first narrowing and then expanding, and the inter-regional differences are the main source of the overall differences; (4) the level of digital-real integration exhibits a pronounced "agglomeration club" trend, with "high-high" and "low-low" agglomerations dominating the spatial agglomeration types, and the agglomeration trend is relatively stable; and (5) the analysis of influencing factors reveals that economic fundamentals, financing constraints, industrial support, government support, and innovation capabilities can significantly improve the level of digital-real integration, but the role of talent security in promoting it is not significant.

   Under the double pressure of key core technology blockade and market monopoly, integrated civil-military innovation has become the key to consolidate and improve the integrated national strategic system and capability. This paper adopted the traditional special equipment enterprises as the case object, and used the exploratory single case study method to study the paths and mechanisms of integrated civil-military innovation. The research found that: (1) the institutional logic of civil-military integration migrates with the change of enterprise situation, and evolves from a single institutional logic structure dominated by government logic to a multi-interactive structure of government logic, market logic and value logic. (2) The logic of military-civilian integration system guides the evolution of enterprise resource orchestration actions to follow the "resource construction-resource bundling-resource leveraging", and triggers the effect mechanism of "military-civilian resource extraction ability-military-civilian resource extension ability-military-civilian resource remodeling ability" to form the update iteration of resource actions and capabilities. (3) The innovation paths of military-civilian integration is mainly reflected in the two-way breakthrough of key core technologies and market development and the final construction of an independent innovation system, showing a transition from the "integrated innovation path led by government logic" to the "integrated innovation path led by market logic" to the "open innovation path led by value logic". This study has revealed the micro-mechanism of the institutional logic change of special equipment enterprises to drive the realization of civil-military integration innovation, and it will provide some useful management insights for the consolidation and enhancement of the integrated national strategic system and capabilities.

   The business environment ecosystem serves as a critical antecedent for improving both the quantity and quality of regional SRDI (abbreviation for "Specialized, Refined, Differential and Innovative") enterprises. Leveraging the city-level data from China and employing the fuzzy-set Qualitative Comparative Analysis (fsQCA) approach, this paper investigated the ecological configurations through which the business environment ecosystem, under the dual institutional logics of market-government, influences the quantity expansion and quality improvement of regional SRDI enterprises. It proposed three ecological recipes that facilitate the quantity expansion of SRDI enterprises: "service driven comprehensive empowerment under dual institutional logics", "production-finance nexus driven under market dominance" and "industry-research-government co-promotion under government guidance". In parallel, three ecological recipes are identified to improve the quality of SRDI enterprises: "talent-driven comprehensive empowerment under dual institutional logics", "talent-innovation dual-driven under market dominance", and "talent-finance-government co-promotion under government leadership". Additionally, the cosine similarity analysis method was introduced to compare the similarities between high-performance and low-performance configurations for quantity expansion and quality improvement, aiming to identify paths for optimizing the business environment ecosystem. The results indicated that the "quality-first" optimization paths are generally better than the "quantity-first" paths, while the "stock reallocation" and "incremental leap" optimization paths can promote both the quantity and quality of regional SRDI enterprises. These findings will provide theoretical and practical insights for optimizing urban business environment ecosystems and accelerate the development of high-performing SRDI enterprises across regions.

   In the digital economy era, the question arises whether digital intelligence policy, exemplified by the ‘Broadband China’ strategy and national smart city pilots, can synergize to effectively drive digital technology innovation. Based on the panel data from 282 prefecture-level cities in China spanning from 2011 to 2021, this study employed a double machine learning model to assess the multidimensional policy effects of digital intelligence policy on digital technology innovation. The results showed that: (1) Digital intelligence policy exhibit a significant synergistic effect on digital technology innovation, with the ‘double pilot’ policy showing a more pronounced empowerment effect compared to the ‘single pilot’ policy. These findings held true even after conducting a series of robustness checks and addressing endogeneity concerns; (2) Digital intelligence policy not only contribute directly to the dual-drive of digital technology innovation but also support it indirectly through enhancing entrepreneurial activity and agglomeration, strengthening intellectual property legislation and enforcement, and fostering both hard and soft infrastructure of the digital ecosystem; (3) The effectiveness of the synergistic empowerment from digital intelligence policy is closely linked to geographical location and urban characteristics. On the one hand, central cities, southern region and eastern regions of the Hu Huanyong Line can obtain more dividends of digital technology innovation from these synergistic policies. On the other hand, cities with a higher endowment of digital talent, greater government investment in science and technology, and higher levels of digital access exhibit a more pronounced effect of these policies. This research will provide vital insights for local governments to strengthen the coordination of multidimensional policies, explore deeply the synergistic empowerment of policy planning, and accelerate the construction of Digital China.

    Intergovernmental collaboration on business environment is an important way to resolve the imbalance in the development of regional business environment and improve the institutional mechanisms for regional coordinated development. This paper adopted all the 41 prefecture-level or above cities in the Yangtze River Delta area as the research object, collected the intergovernmental agreement data of business environment collaboration in the Yangtze River Delta region in the period of 2018-2024 through web crawler technology, built an intergovernmental collaborative network for the business environment in the Yangtze River Delta, and applied the QAP method to explore its influencing factors. The key findings are as follows: (1) digital technology proximity is conducive to the establishment of an intergovernmental collaborative network for the business environment; (2) industrial structure proximity is not conducive to the establishment of an intergovernmental collaborative network for the business environment; (3) there is a U-shaped relationship between geographical proximity and the intergovernmental collaborative network for the business environment; and (4) the lower the institutional proximity, the more conducive it is to establishing an intergovernmental collaborative network for the business environment, and specifically, it is easier to establish an intergovernmental collaboration network on the business environment between cities across administrative levels and administrative boundaries. The research conclusions will provide a reference for conducting research on related topics of intergovernmental cooperation on business environment in other urban agglomerations such as the Beijing-Tianjin-Hebei region, the Pearl River Delta, the Guangdong-Hong Kong-Macao Greater Bay Area, and across China, and it will provide policy ideas for building a national unified market that is efficient, standardized, fairly competitive, and fully open, and for creating a market-oriented, law-based, and internationalized first-class business environment.

   As a new form of innovation organization that links multiple innovation entities and promotes the innovation of key core technologies, the innovation consortium has attracted widespread attention. Still, its unique value co-creation mechanism has rarely been discussed. Using the case study method, this paper took China Railway Construction Heavy Industry Corporation Limited. (CRIHI) as an example to find that:(1) The innovation consortium is a tightly complementary value co-creation network led by core enterprises and consisting of innovation entities such as governments (as institutional builders), users (as demanders), technology suppliers of key components, universities, research institutes, etc. (2)The value co-creation mechanism for the innovation consortium to promote the innovation of key core technologies is an "organized value co-creation mechanism driven by both national mission and market demand". Among them, organized value co-creation is a process of "clear and unified innovation target orientation—close interaction between the complementary innovation entities led by core enterprises—accumulation of innovation elements towards core enterprises—innovation of key core technologies", national mission and market demand are sequential cycles driving conditions for organized value co-creation. These findings will contribute to promoting the construction of a theoretical system of innovation consortiums rooted in Chinese practices, expanding the application boundaries of value co-creation theory, enriching the literature on key core technology innovation, and providing essential implications for the establishment of innovation consortiums for key core technology innovation between governments and enterprises.

In the phase of high-quality economic development, market competition has deepened from the product dimension to the technological dimension. The exclusivity, cross-market applicability, and the difficulty in observing technology determine the differences between competition in the technological and product dimensions. Can the technological competition pressure faced by firms become a driving force for their high-quality development? To address this question and reveal the underlying mechanisms, this paper innovatively constructed a firm-level technological competition pressure indicator using the patent text information and empirically tested the impact of technological competition pressure on total factor productivity (TFP) based on the data from A-share listed companies in China between 2010 and 2021. The results showed that technological competition pressure significantly increases TFP, and this finding remains robust after addressing endogeneity concerns and conducting robustness checks. The mechanism tests revealed that technological competition pressure enhances TFP through R&D innovation effects and corporate governance effects. Specifically, it drives firms to increase R&D investment, engage in high-quality innovation, reduce agency costs, and improve investment efficiency, particularly by curbing over-investment. Further analyses indicated that the positive effects are more pronounced in firms with lower institutional ownership and analyst coverage, non-state-owned enterprises, and firms in the mature or declining stages of their lifecycle. Therefore, external technological competition pressure serves as an external governance mechanism that promotes high-quality corporate development. This study will enrich the research on the economic consequences of corporate competition, particularly technological competition, and provide methodological insights for future research on technological competition.

    Joining the digital ecosystem led by platform enterprises as complementary enterprises for innovation has gradually become the dominant way for small and medium-sized enterprises to innovate, but the cooperative and competitive relationship between the two will increase the uncertainty of complementary enterprise innovation. This article is based on the perspectives of knowledge governance and competition theory, and constructs a model to explore the impact of ecological governance and complementary market entry decisions of platform enterprises on the innovation of complementary enterprises. A multi-layer regression analysis method is used to analyze questionnaires from 297 complementary enterprises in the digital innovation platform ecosystem. Research has found that: (1) Although the mechanism is varied, the market-based, society-based and hierarchy-based governance of the platform ecology has a significant positive role in complementary enterprise innovation; (2) The complementary market entry behavior of platform enterprises can suppress complementary enterprise innovation; (3) Platform ecological governance can weaken the negative impact of complementary market entry behavior on complementary enterprise innovation. The balance between platform ecological governance and complementary market entry reflects the essence of the competitive and cooperative relationship between platform enterprises and complementary enterprises, which helps to promote the innovation of complementary enterprises. The research results will contribute to enriching the innovation theory of SMEs under the background of platform ecological governance and digitalization and deepening the research on the relationship between platform enterprises and SMEs. The study will also provide useful guidance for SMEs to realize innovation through digital transformation.

   The rapid evolution of profound changes unseen in a century and the construction of a resilient innovation ecosystem have become the only way to build an innovative country. Based on the four dimensions of buffering, diversity, liquidity and evolution, this paper constructed an indicator system for innovation ecosystem resilience. It innovatively employed a combined evaluation method of vertical and horizontal grading method and entropy weight method for a dynamic measurement and analysis. Additionally, the Dagum Gini coefficients were used to reveal regional differences and sources of innovation ecosystem resilience. Furthermore, the spatial Durbin model was adopted to explore the key factors affecting the resilience of innovation ecosystem and their spatial spillover effects from both internal and external environmental levels. The results showed that: (1) the resilience of the innovation ecosystem continues to improve, showing a situation of "strong in the east and weak in the central and western regions"; From the perspective of subdimension, buffering, mobility and evolution are on the rise, and diversity is relatively stable. (2) The resilience of innovation ecosystem in the eastern region is relatively different, and the difference between the central and western regions is the least. The overall difference of innovation ecosystem resilience shows an increasing trend, and the main sources are interregional difference, intra-regional difference and super-variable density. (3) Intelligence level, industrial diversification and intellectual property protection all significantly improve the resilience of local innovation ecosystem. Government support and urbanization all have negative spatial spillover effects, and foreign investment has no significant impact on the resilience of innovation ecosystem. The research conclusion of this paper will provide a useful reference for enhancing the resilience of the innovation ecosystem and achieving high-level technological self-reliance and strength.

     It is a common practice for the government to support specific enterprises and promote industrial development by means of selective subsidies. The impact and mechanism of this move on the technological strategies of different entities within the innovation ecosystem are important issues worthy of research. This paper adopted the leading enterprises and the following enterprises in the innovation ecosystem as the research objects, constructed an evolutionary game model to analyze the game relationship and stable strategies of both sides, and further applied the Netlogo software for simulation to study the impact of the government′s selective subsidies and tax preferences under different intensities on the technological strategy game of the two types of entities. The research findings are as follows: Firstly, there are three evolutionary stable strategies in the technological strategy game between the leading enterprises and the following enterprises. Moderately increasing the intensity of government subsidies and patent protection can prompt the leading enterprises to adopt patent protection measures and stimulate the following enterprises to carry out innovation. Secondly, the intensity of selective subsidies has a nonlinear impact on the choice of enterprise technological strategies. Flexibly adjusting the subsidy intensity has a positive effect on enterprises′ adoption of optimal technological strategies and the creation of a stable market environment. Thirdly, compared with government subsidies, tax preferences can better prompt enterprises to choose optimal technological strategies. Diversified and refined subsidy policies can guide the development direction of enterprises more accurately. The research conclusions will expand and deepen the theoretical research on the impact of government subsidies on the technological game among innovation entities from the perspective of innovation ecosystem, and provide important implications for government departments to flexibly adjust and precisely optimize subsidy policies so as to accelerate the guidance of industrial development.

   Government venture capital funds are important tools for China to improve the innovation of the financing market. They differ from independent venture capital funds regarding investment objectives, resource planning capabilities, performance appraisal systems, and decision-making mechanisms. Then, how do the government venture capital funds affect corporate innovation? Clarifying this issue from an empirical perspective is helpful in further developing the unique advantages of government venture capital funds in allocating innovation resources. Taking 522 listed enterprises as research samples, this paper used the multi-stage DID model to conduct empirical research. The results showed that, compared with the investment only by the government venture capital funds or the independent venture capital fund, the joint investment of the two types of funds can promote the increase of the R&D expenditure of the enterprises, the cooperation between the research institutes and the invested enterprises, and then promote the innovation performance of the enterprises. This is because the resource organization advantage of the government venture capital funds and the resource supply advantage of the independent venture capital fund are complementary, creating a more powerful innovation promotion effect. The research results of this paper can provide indirect supporting evidence for China′s innovation practice of building a new nationwide system.

   S&T innovation talents serve as both the main driving force and the source of innovation for S&T development. Enhancing talent efficiency among S&T innovation talents is of great significance for advancing China′s S&T undertakings. Drawing on the quadruple helix theory and employing a fuzzy set qualitative comparative analysis, this study adopted 143 listed companies on China′s S&T innovation Board as research objects to investigate the collaborative effects of government, enterprises, universities, and the public in the process of improving S&T innovation talent efficiency. The findings showed that: (1) no single helix element constitutes a necessary condition for enhancing S&T innovation talent efficiency; (2) there are three distinct paths toward improving S&T innovation talent efficiency: "government driven under the insufficient supply of resources in universities and the lack of public participation", "government driven under the lack of internal resources in enterprises, insufficient supply of talents in universities and the lack of public participation" and "resources supply of universities and public participation under poor governmentdriven and the lack of internal resources in enterprises"; (3) in two different contexts—"universities failing to provide talent and intellectual support to enterprises and lacking public demand guidance" and "enterprises having limited available resources, universities failing to provide talent support, and lacking public demand guidance"—government support for scientific research can play a driving role. These findings have extended the quadruple helix theory and research on talent efficiency in S&T innovation talent, and they will provide practical insights for giving full play to the important role of S&T innovation talent.

    Employee innovation serves as a critical source for enterprises to establish competitive advantages and achieve sustainable development, while the digital transformation wave presents both expanded opportunities and new challenges for employee innovation. Corporate digital responsibility, as a fundamental component of corporate culture, embodies corporate values and ethical standards, effectively stimulating employees′ innovation potential. However, its influence on employee innovation behavior has yet to receive systematic academic attention or thorough investigation. Therefore, this study examined the impact mechanism of perceived corporate digital responsibility (PCDR) on employee innovation behaviors through the theoretical lenses of the Stimulus-Organism-Response (SOR) framework and organizational identification theory. Utilizing the three-wave survey data from 314 respondents, this empirical study employed hierarchical regression analysis and bootstrap methods to reveal that: (1) PCDR positively affects both proactive innovation behavior and reactive innovation behavior; (2) work meaningfulness mediates the relationship between PCDR and proactive innovation behavior and reactive innovation behavior; and (3) innovation self-efficacy positively moderates the direct effects of work meaningfulness on proactive and reactive innovation behaviors and the mediating effect of work meaningfulness in the PCDR-innovation behavior relationship. This research will extend our understanding of the mechanisms and boundary conditions of PCDR, provide theoretical foundations and practical insights for organizations to stimulate innovation behaviors during digital transformation.

   In the epoch of digital intelligence, team creativity has become an important way to continuously drive enterprise innovation and gain competitive advantages. However, how to stimulate team creativity has become a key challenge that must be addressed for innovative development of enterprises. From the perspective of team interaction and based on the motivated information processing theory, this paper adopted team type as the boundary condition and constructed a moderated doublemediation model from two paths of interpersonal interaction and information elaboration, and explored the influence mechanism of empowering leadership behavior on team creativity. Taking 85 R&D teams and 641 team members of domestic S&T enterprises as the research object, this paper used certain software to test the hypothesis through path analysis and Bootstrapping. The research results are as follows: (1) Empowering leadership behavior positively influences team creativity through interpersonal interaction; (2) Empowering leadership behavior positively influences team creativity through information elaboration; (3) Team type not only positively moderates the direct effect between empowering leadership behavior and information elaboration, but also positively moderates the indirect effect of empowering leadership behavior on team creativity through information elaboration. However, the direct effect that team type positively moderates empowering leadership behavior and interpersonal interaction, and the indirect effect of empowering leadership behavior on team creativity through interpersonal interaction are not significant. This study has not only revealed the influence mechanism of empowering leadership behavior on team creativity through interpersonal interaction and information elaboration, but also furnished some management enlightenment for leaders to enhance team creativity through empowerment behavior. 

   Accelerating the digital transformation of traditional manufacturing enterprises is a crucial initiative to promote the deep integration of digital economy and real economy. This paper adopted the A-share listed traditional manufacturing enterprises in China as a sample from 2011 to 2022, measured the digital transformation level of their production, marketing and service value chain links through text analysis, and analyzed the influencing factors and contribution degree of digital transformation of each link by using the Shapley value decomposition method based on regression analysis. The research found that the overall digital transformation level of traditional manufacturing enterprises is on the rise, but the development of digital transformation in various links of the value chain is uneven, which is manifested in the fact that the production link is ahead of the marketing link, and the marketing link is better than the service link. The endogenous factors such as enterprise size, enterprise age, and executive cognition, as well as the exogenous factors such as industry growth and the scale of digital transformation in the industry, have varying degrees of marginal impact on the digital transformation of value chain links. Among them, the level of digital transformation of peer enterprises and the scale of digital transformation of the industry make the most significant contribution to the digital transformation of value chain links, reflecting the prominent "demonstration effect" and "followthewind effect" of the digital transformation of traditional manufacturing enterprises. However, in the initial stage of digital development and in the regions with a low degree of marketization, endogenous factors, such as the attributes, resource base and dynamic capabilities of enterprises, play a vital role in the digital transformation of the production link. This paper has discussed the influencing factors of digital transformation and their relative importance from the perspective of value chain, and expanded and enriched the theoretical framework of digital transformation research, and it will be of great practical significance to promote the digital transformation in the traditional manufacturing industry.

   Against the backdrop of national efforts to promote the commercialization and utilization of patented technologies, this study investigated whether early patent application disclosure can alleviate information asymmetry and foster prosperity in the technology transaction market. Employing the instrumental variable method to construct a two-stage least squares regression model, this research systematically analyzed the causal relationship between early patent application disclosure and technology transactions. The empirical results demonstrated that early patent application disclosure alleviates market failures in technology transactions and significantly facilitates their occurrence. Specifically, its positive impact is more pronounced in patents within complex technological domains, patents held by state-owned enterprises, and patents represented by professional patent agencies. Moreover, the effect primarily manifests before patent grant and is concentrated in patent transfers. Based on these findings, this study will offer targeted recommendations from three perspectives: institutional designers, patent administrators, and corporate patent departments, and it will provide insights for optimizing the design and implementation of patent systems.