Realizing the value of data elements constitutes both a significant theoretical issue and an urgent practical demand for enterprise development in the digital economy era. This study systematically reviewed the literature on data value published between 1991 and 2024 in the fields of management and law. Drawing on the grounded theory for data coding, it distilled three fundamental questions of data value: which categories of data are of value? What forms of value can be derived from data? How is the value of data realized? The three issues respectively correspond to the value attributes of data, contents of data value, and the mechanisms by which that value is realized. The research indicated that: (1) The value attributes of data manifest as inherent intangibility, technical reusability, increasing returns to scale in economic terms, and limited exclusivity of rights; (2) The value of data encompasses economic, social, and political dimensions. From the perspectives of data stakeholders, namely data operators, data providers, and data governors, their respective value objectives are to enhance productive efficiency, achieve digital equity, and ensure data security; (3) The mechanism for realizing data value primarily encompasses the stages of value creation, value circulation, and value distribution. Data value creation is fundamentally grounded in data standardization, which specifically includes the assetization, productization, and capitalization of data. The circulation of data value faces pressing challenges in pricing, necessitating the orderly advancement of data trading, openness, and sharing. Through initial allocation and subsequent redistribution of data value, improvements in economic efficiency and the realization of social equity can be promoted. Finally, the paper outlined prospective research directions concerning the theoretical frameworks and methodologies underlying the systemic operation and realization mechanisms of data value.

The development of "Specialized, Refined, Distinctive and Innovative" (SRDI) small and medium-sized enterprises (SMEs) and tackling key technological challenges in critical areas are of significant importance for China to build a self-reliant and controllable industrial supply chain. Using the sample of A-share listed companies from 2011 to 2021, this study employed the methods such as the difference-in-differences (DID), propensity score matching-DID (PSM-DID), and instrumental variable (IV) regression to examine the impacts of SRDI certification on corporate technological innovation and its mechanisms. The study found that the certification significantly promotes technological innovation, particularly in SMEs, and this result remains robust after controlling endogeneity. Further analysis revealed that high-intensity government subsidies weaken the policy effect, with this inhibitory effect being more pronounced for medium and large-sized enterprises. In contrast, the development of digital finance alleviates the constraints imposed by the imbalance in traditional finance, thereby enhancing the policy's impact on technological innovation. The findings of this study will provide theoretical support for the rationality of China's specialized innovation certification policy system. However, the study suggests that government departments should reconsider the traditional selection mechanism of "self-declaration-expert review-government funding" and promote digital finance as a positive complement to traditional finance to further optimize resource allocation efficiency in the certification process.

Under the background of green transformation, Chinese enterprises are accelerating the promotion of sustainable development, and digital technology has become a key approach for transformation. This study adopted the green transformation of Fengdeng Environmental Protection (CONBA) as an example and conducts an exploratory single case study to construct a logical system of enterprise green dynamic capability guided by green cognition and practical experience. The study found that the enterprise has formed a "double cognition-investment behaviour-green dynamic capability" capacity building mechanism in the process of green transformation. First, the double cognition undergoes specific evolutionary processes, with green cognition undergoing a process of "aggregation-disintegration-reconstruction", while digital cognition shows a change from "enlightenment-awakening-expansion". Second, green knowledge and green performance guidance is the key to implementing digitalization investment, and the digitalization investment behaviour has shifted from passive acceptance to active adoption, and has developed into an active expansion of external opportunities. Finally, in the green cognition-guided digitalization investment practice, the enterprise gradually builds a green dynamic capability system that covers green value perception, green value reconstruction, and green value transformation. The theoretical framework of this study will provide important insights into how green transformation enterprises can drive green competitiveness through dual cognition.

Artificial intelligence is a typical interdisciplinary field that integrates multiple disciplines and domains, exhibiting strong pervasiveness and convergence. Against the backdrop of the deepening implementation of the "AI+" initiative, adopting an integrative perspective to dissect the underlying logic of AI-enabled empowerment and systematically clarifying its essential mechanisms is of paramount theoretical and practical significance. This effort is crucial for identifying key pathways for the deep integration of AI with various sectors, promoting the practical application of AI, and optimizing AI governance. Based on this, this paper proposed that the essence of AI-enabled empowerment lies in the triple integration of "data integration, knowledge integration, and system integration". Specifically: (1) Data integration enables the integration of cross-modality, cross-spatiotemporal, and cross-domain datasets; (2) Knowledge integration drives five core capabilities: association recognition, causal reasoning, contradiction discovery, convergence approximation mutation emergence; (3) System integration achieves the engineering implementation of foundational technologies, functional technologies, and domain-specific technologies. To address challenges in integration—including inadequate data circulation mechanisms, algorithmic bias and decision-making deviations, and increased system security vulnerabilities—the following recommendations are proposed: (1) data circulation frameworks and standardization protocols should be refined to strengthen full-lifecycle data security safeguards; (2) algorithmic bias governance should be enhanced to improve model transparency and interpretability; and (3) the implementation of intelligent system integration should be pioneered to advance engineering resilience and ethical compliance capabilities. This study will provide valuable insights and references for promoting the healthy development of artificial intelligence and driving the intelligent transformation and upgrading of industries.

Intellectual property （IP） barriers have become one of the most significant non-tariff barriers in international trade today. Do they serve as obstacles to or catalysts for independent innovation by Chinese export firms? Existing research has yet to provide a clear answer to this question. Taking the United States' intellectual property infringement investigations against Chinese export firms （commonly known as Section 337 investigations） as an example，this paper empirically examined the impact of IP trade barriers on the innovation activities of Chinese export firms as well as the potential mechanisms at play，using the data from Chinese manufacturing listed companies between 2007 and 2019. The results showed that IP trade barriers significantly promote the innovation of Chinese export firms by encouraging firms to increase R&D investment，reducing reliance on external technology imports，and strengthening government R&D support，thereby significantly improving both the quantity and quality of their patents. Firm growth amplifies the positive effects of IP trade barriers on innovation capabilities，but the innovation-enhancing effects are weaker for non-state-owned enterprises than state-owned enterprises，and firms in highly marketized regions exhibit weaker innovation improvements than those in less marketized regions. Moreover，firms' export dependency，asset specificity，and human capital levels positively moderate the incentivizing effects of IP trade barriers on innovation. The findings of this study will not only deepen the understanding of the dynamics of innovation among Chinese export firms，but also provide policy implications for China to address technological suppression from Western countries and to reshape its new competitive advantages in the global market.

Under the backdrop of de-globalization，the construction of China's industrial value chain not only pursues efficiency but also takes security into account. Especially for the strategic high-tech industries of latecomer countries，an autonomous and controllable industrial value chain that prioritizes security while considering efficiency profoundly influences their technological catch-up，economic development，and stability and security. In response to the theme of how to build an industrial value chain with the goal of autonomy and controllability in China，this paper conducted a longitudinal case study on China's large unmanned aerial vehicle （UAV） industry from the perspective of system resilience，exploring the typical characteristics，construction paths，and boundary conditions of the "China Chain". The research findings are as follows： Firstly，unlike mass-produced manufactured goods that can begin as "embedded participants" to cultivate competitive advantages through deep engagement in global value chain （GVC） divisions，complex sensitive products like large UAVs must start as "dominant players" to avoid the "low-end lock-in" risks of embedded participation and secure control over core value chain segments. This paper thus extracted five dimensions of the "China Chain" model—applicable products，initial conditions，actors，action pathways，and operational logic—anchored in the "dominant player" starting point. Secondly，a processual theoretical framework for building autonomy and controllable China Chains was proposed： the two ends of the industrial value chain （R&D and service sectors） constitute critical junctures. System resilience operates through anticipatory and process-based mechanisms across these junctures. Technological innovation and organizational synergy serve as dual drivers for achieving autonomy and controllability. Thirdly，opportunity windows and China's aviation industry collaboration model emerge as necessary conditions for constructing autonomy-controllable value chains. This study will contribute to expanding the system resilience theory，enrich the academic discourse on "China Chain"，and unveil the "black box" of their construction. It will also offer practical insights for "chain-leading" enterprises to strengthen their dominant positions and spearhead innovation in global industrial value chains.

The mode of technological innovation in China has entered a critical transitional phase，shifting from imitative innovation to independent innovation，and from a technological follower to a parallel and leading player. In this process of transformation and development，market mechanisms are playing an increasingly important role，gradually becoming the endogenous driving force for high-tech enterprises to achieve technological updates and iterations for independent innovation. This paper took the policy announced on December 27，2012，which allowed foreign manufacturers to enter the market by publishing the interface control document for the BeiDou Satellite Navigation System's space signals. Using the panel data from 2000 to 2022 for BeiDou Navigation technology enterprises，a breakpoint regression model was constructed to explore the impact of easing foreign market entry on the innovation levels of high-tech enterprises. The originality of this research lies in its micro-market mechanism analysis approach，which establishes a logical connection between micro-level enterprise behavior and macro-level innovation trends，and provides theoretical justification for the independent innovation model of high-tech enterprises. The empirical results revealed three key findings： （1） Relaxed foreign market access enhances market competition intensity，driving continuous improvements in the innovation capabilities of BeiDou Navigation Technology enterprises. Meanwhile，the BeiDou Navigation System has achieved global market competitiveness and world-leading status in critical technical domains；（2） Liberalized foreign entry leverages China's advantages of massive market scale，diverse market demands，and complete industrial systems to promote independent innovation in high-tech sectors；and （3） Relaxed foreign access strengthens the role of the new national system in efficiently allocating innovation resources and accumulating capital，thereby accelerating innovation capacity building in high-tech enterprises.

Under the technology decoupling of China from the US，overcoming the "neck strangling" challenges posed by key core technologies has become a primary problem for Chinese mega-projects. Based on the innovation ecosystem theory，using a longitudinal single case analysis，this paper explored the mechanism of collaborative innovation among numerous participants in mega-projects to analyze the "catch-up" process of China's high-speed railway technology. The results indicated that： （1） the changes in core platform promote the evolution of the innovation ecosystem；（2） the collaboration models and mechanisms of collaborative innovation among participants evolve at different stages of the innovation ecosystem's development in mega-projects；and （3） collaboration among institutions，organizations，and knowledge interacts mutually，supporting and promoting the formation，evolution，and technological innovation efficiency of the innovation ecosystem. The study will enrich the theoretical framework of innovation ecosystems based on Chinese practices，expand the scope of research on platform theory and collaborative innovation theory，and provide enlightenment for overcoming the "neck strangling" dilemma of critical core technologies in mega-projects in China.

Faced with the deep embeddedness in the industrial chain, highly customized value activities, and precise segmentation of customer groups, customization has become an essential strategy for SRDI (abbreviation for Specialized, Refined, Differential and Innovation) enterprises to gain competitive advantages. Based on the value co-creation theory, this paper explored the impact mechanism of customization strategies on the performance of SRDI listed companies in China from 2017 to 2022 through text analysis using big language models. The empirical results indicated that: (1) Customization strategy has a promoting effect on the performance of SRDI enterprises, and this conclusion still holds after robustness testing; (2) The concentration of suppliers and the degree of digitization enhance the positive impact of customization strategy on the SRDI enterprises' performance; (3) Customer concentration weakens the promoting effect of customization strategy; (4) SRDI enterprises with high innovation capabilities are more profitable when using customization strategy; (5) The impact of regional heterogeneity of enterprises on customization strategy is not significant; and (6) Compared to external customization, internal customization has a significant positive impact on performance. This paper has innovatively analyzed and empirically tested the impact of customization strategy on SRDI enterprises' performance, thus emphasizing the importance and feasibility of customization strategy, expanding and enriching theoretical insights into the behavior and performance of SRDI enterprises. The research conclusions will provide theoretical basis and empirical reference for SRDI enterprises to achieve high-quality development.

Successive shocks are the key exogenous factors triggering construction of supply chain resilience in Chinese advanced manufacturing enterprises. We employed an exploratory longitudinal single-case study method to analyze the process mechanism of Huawei's supply chain resilience cultivation under the US economic and trade sanctions and revealed and refined the intrinsic motivation, action mechanism, and evolutionary process of advanced manufacturing enterprises' dynamic construction of supply chain resilience. Our study found that: first, reducing the uncertainty of external resource acquisition is the direct motivation for Chinese advanced manufacturing enterprises to construct supply chain resilience; second, when the policy shock affects the resource dependency relationship between the case enterprise and its supply chain partners, the enterprise adopts differentiated continuity management measures to reduce uncertainty step by step; and third, in the case of successive shocks, the enterprise achieves the enhancement and optimization of the supply chain resilience capability portfolio through the dual mechanism of capability creation and capability preservation. By integrating resource dependence theory and business continuity management, this paper will provide effective thinking for understanding the motivation of enterprise supply chain resilience construction from a relationship perspective. At the same time, we will open the black box of the relationship between changing dimensions of the resource dependence relationship and selection of constraint absorption strategies, thus cracking the intrinsic mechanism of the supply chain resilience iterative development of advanced manufacturing enterprises.

The breakthrough of core and key technologies by latecomer enterprises is crucial for achieving national technological self-reliance and industrial upgrading. This study adopted a longitudinal single-case research approach, and examined Changan Auto's engine technology to construct an evolutionary process model of breakthrough paths for core and key technologies in latecomer enterprises. The research findings are as follows: (1) the impetus for core and key technology breakthroughs stems from a dual-driven mechanism that combines exogenous and endogenous factors; (2) the breakthrough path follows an "explicit technology traction-implicit capability leap" model, exhibiting a four-stage dynamic evolutionary goal; (3) explicit technological practices evolve progressively through the sequence of "extensive search-knowledge absorption-deep accumulation-knowledge creation-system integration-local leadership", driving the implicit capability system to achieve hierarchical leaps from "technical foundation building-innovation capability cultivation-integration capability construction-global competitiveness ascension"; (4) technological innovation capability develops following the logic of "knowledge absorption-deep accumulation-knowledge creation", establishing latecomer enterprises' dual momentum for outward breakthroughs and inward refinement; and (5) the "explicit technology-implicit capability" breakthrough model triggers bidirectional restructuring between "firm-market" systems, organizationally shifting practices from imitation and adaptation to standard-setting while structurally disrupting conventional market architectures, manifesting a "creative destruction" dynamic. This study will offer latecomers a practical paradigm for breaking the chokehold on core and key technologies, thus forging their own autonomous innovation chains, and facilitating the micro-level upgrading of industrial value chains.

Leading enterprises play a pivotal role in advancing modernization of industrial chains. To better understand the research status and progress in this field, this study employed a scientific knowledge mapping approach to conduct visual analyses—including keyword co-occurrence, author co-occurrence, and keyword burst detection—on relevant literature. The paper systematically reviewed existing research from three dimensions: an overview of leading enterprises' role in industrial chain development, key research themes, and emerging trends. The findings revealed that existing studies primarily focus on three themes: organizational models, leadership mechanisms, and industrial performance. In terms of research perspectives, there is a discernible shift from meso-level to micro-level and back to meso-level analyses. Regarding research contexts, the focus has transitioned from traditional organizational settings to emerging ones. Future research explored the impact of leading enterprises on cross-industry integration, innovation paradigms, and industrial performance under new organizational contexts and diverse industrial environments. This study has clarified the intellectual framework and research boundaries of leading enterprises' role in industrial chain development, and it will provide insights for establishing a governance structure of industrial chains led by core enterprises.

Artificial intelligence (AI) technology has become an essential tool for deepening the theoretical research on corporate innovation, thus increasingly embedding itself into enterprise innovation practices and significantly impacting innovation efficiency. Grounded in a corporate lifecycle perspective, this study leveraged the data from 1,103 Chinese high-tech manufacturing enterprises listed between 2016 and 2021, by employing the decision tree analysis and multiple machine learning methods to examine AI's heterogeneous effects on enterprise innovation across different lifecycle stages. The findings are as follows: (1) Most machine learning models demonstrate superior predictive performance in forecasting firms' innovation performance (patent authorizations) compared to traditional linear regression models, highlighting machine learning's capability in capturing non-linear relationships among variables. (2) Enhancing AI capability and increasing AI patent filings significantly boost innovation capacity in mature-stage firms, while the innovation performance of growth- and decline-stage firms depends less on AI technology. (3) The decision tree analysis further indicated that innovation in growth and maturity stages primarily relies on AI patent activities, whereas innovation in decline-stage firms depends more heavily on the size of employees and technical personnel. Overall, while AI technology positively correlates with enterprise innovation performance, this relationship varies significantly across corporate lifecycle stages. This study will extend the lifecycle theory and provide practical guidance for enterprises on strategically deploying AI technology according to their developmental stages.

Transdisciplinary research serves as a crucial pathway for China to address Western technological blockades, achieve breakthroughs in key core technologies, and cultivate new productive forces. An in-depth analysis of China's transdisciplinary research model helps advance the construction of China's independent knowledge system, contributes Chinese wisdom to transdisciplinary research, and provides theoretical support for scientific and technological innovation. This study analysed the policy documents from major scientific and technological innovation programs (including the "863 Program", "973 Program", "2011 Plan", and "National Key Research and Development Plan"), along with the first-hand interview data from three major scientific research projects (100,000 m3/h air separation compressor, large full-section tunnelling equipment, and carbon fibre composite material cutting equipment), comprising approximately 400,000 words of textual data. Using the grounded theory analysis and typological construction methods, the study revealed three Chinese models of transdisciplinary research: (1) the government-led tracking development model, which aims to track international frontiers through government-led organized research and implements innovation through introduction, digestion, absorption, and re-innovation; (2) the exploratory demand-oriented independent innovation model, which focuses on independent innovation to address major needs through enterprise-centred industry-university-research cooperation and primarily utilizes integrated innovation; and (3) the multi-stakeholder consultative collaborative innovation model, which pursues comprehensive innovation in science, technology, and talent through multi-stakeholder consultation and dialogue, employing both integrated and original innovation approaches. Based on the characteristics and value of these three models, the study has proposed establishing a classified management system to leverage the advantages of each model and it will provide targeted management recommendations for governments, universities, research institutes, and enterprises to address specific challenges within different models.

The critical role of leading enterprises in the new national system for tackling key problems is becoming increasingly evident. Consequently, the formation and enhancement of their capabilities to achieve breakthroughs in core technologies require urgent attention and response. This study focused on the specific practices of Fangda Carbon, a leading enterprise in the carbon industry, in developing breakthrough capabilities for key core technologies during the advancement of high-temperature gas-cooled reactor graphite core components. It summarized the dynamic evolutionary mechanisms underlying the development of such capabilities in leading enterprises. The research found that: (1) The formation of breakthrough capabilities in key core technologies involves two stages: generation of phased objectives and assignment of corresponding meanings. By setting objectives tailored to different contexts and assigning matching significance, enterprises shape the necessary cognitive foundation for breakthrough capabilities. (2) The leap in breakthrough capabilities relies on the dynamic transformation of sensemaking modes, which evolve from "authoritative" to "inspirational" and then to "expansive" stages. Correspondingly, breakthrough capabilities progress through the "functional", "performance", and "architectural" phases. (3) The driving force behind the evolution of breakthrough capabilities is the enterprise's sense of mission. This study will provide theoretical insights for improving China's overall capacity for technological breakthroughs and accelerating the development of new quality productive forces.

Digital industry clusters are a phenomenon of industrial agglomeration in the context of digital economy with digital native enterprises and digital transformation of incumbent enterprises as important components. Due to differences in the ability of different enterprises to access digital resources, digital industry clusters have the problem of poor industry chain integration, the digital divide faced by cluster enterprises has turned from the "access divide" to the "ability divide". From the perspective of "data elements-digital technology" interaction, the study explored the evolution mechanism of digital industry clusters through an exploratory multi-case analysis of Hefei Artificial Intelligence Industry Cluster, Hangzhou Digital Security Industry Cluster, and Wuhan Optoelectronic Information Industry Cluster. The study revealed that: (1) the deepening of interactive degree and promotion of interactive efficiency between data elements and digital technology, drive the clusters to cluster quickly in cyberspace, which has an impact on the cluster development mode and the building of cluster competitiveness; (2) the dual-wheel drive of "data elements-digital technology" promotes the transformation of cluster network relationships from "imitative network embedding" and "progressive network embedding" to "break through network embedding" by changing the digital connection mode of cluster enterprises; (3) in the process of evolution and development, digital industry clusters choose different development modes according to the level of agglomeration they have reached and the problems they have faced, which promotes the extension of the digital economy industry chain. The findings will provide theoretical basis for the efficient and rational allocation of digital resources in China, and promote the sustainable development of digital industry clusters.

The key core technology innovation relying on megaprojects has become an effective model for independent innovation. This paper adopted a case study method to examine the process of China Three Gorges Corporation achieving core technology breakthroughs of megaprojects based on user-driven demand-side dynamic capabilities. The research found that: (1) In the technological introduction phase, users organize and assist domestic suppliers in catching up with core technologies by weakly controlling the formation of organizational innovation driven opportunity response capability and resource transfer capability. (2) In the in-depth development phase, user enterprises and suppliers jointly participate in innovation, which drives user enterprises to take advantage of their capability to foresee opportunities and share resources to promote the leading of supplier core technologies. (3) In the technology commercialization phase, users rely on strong control to drive the development of opportunity development and resource restructuring capabilities, promote the commercialization of core technologies, and thus make profits. The innovation of this study lies in condensing the important role of user-driven and dynamic capability mechanisms in achieving key core technology breakthroughs, and proposes a theoretical model of user-driven core technology breakthroughs of megaprojects. It has expanded the theoretical research in the fields of user innovation and dynamic capability, and will provide useful insights for policy formulation and enterprise practice of core technology innovation of megaprojects in China.

The formation of technical standards requires the collaborative coupling of multi-domain technical knowledge. From the perspective of multi-domain knowledge collaboration, this paper firstly constructed a multi-domain knowledge creation and diffusion evolution model to distinguish the dominant and ordinary knowledge agents in the alliance, and put forward a measure index of knowledge module complementarity to measure the technical standardization ability of the alliance. A computational simulation model was built to observe the effect of knowledge co-evolution with multi-agents in multi-domains. The results showed that: (1) With the process of knowledge creation and diffusion, the knowledge module complementarity in the alliance is gradually enhanced, and the technical standardization ability is improved; (2) There is an inverted U-shaped relationship between knowledge module complementarity and knowledge diffusion efficiency of the alliance, and proper knowledge diffusion efficiency can promote the evolution of the strongest knowledge module complementarity; (3) Knowledge creation has a more significant impact on the evolution result than knowledge diffusion, and the knowledge module complementarity is positively correlated with the knowledge creation probability, in which the dominant agents change the knowledge creation probability better than the ordinary one; (4) The knowledge module complementarity is negatively correlated with the scale of dominant agents in the initial alliance, and it is an important issue for the alliance to reasonably determine the scale of dominant agents. The research results will provide important theoretical support and decision-making basis for improving the technical standardization ability and governance ability of the alliance.

The report of the 20th National Congress of the Communist Party of China proposed to "strengthen the legal protection of intellectual property rights (IPR) and establish a foundational system to support comprehensive innovation". The IPR foundational system provides critical guarantee for achieving comprehensive innovation. This paper first defined the connotation of the IPR foundational system supporting comprehensive innovation, and then constructed its system framework, analyzed its internal mechanism, and proposed future development pathways. The IPR foundational system supporting comprehensive innovation comprises the IPR rights ownership system, the IPR protection system, the IPR implementation and utilization system, the IPR benefit distribution system, and the IPR resource support system. Together, they provide comprehensive support for institutional and mechanism innovation, scientific and technological innovation, managerial innovation, and cultural innovation. The IPR foundational system supporting comprehensive innovation is characterized by necessity, durability, fundamentality, and universality. Comprehensive innovation drives the demand for the establishment of the IPR foundational system, which, in turn, supports comprehensive innovation through basic regulatory frameworks, stringent protection mechanisms, efficient market operations, reasonable incentive structures, and effective assurance mechanisms. To strengthen this foundational system, China should establish and improve systems such as the separation of ownership and implementation rights, foundational IPR laws, IPR court system, specialized technology transfer institutions in universities, legal growth regimes for IPR expenditures, and the training system for multi-skilled IPR professionals.

In the context of digital transformation, intellectual property mechanism provides systematic support for the development of the cultural industry. Focusing on cultural industry sources, this paper selected the digital publishing enterprise as a sample and found that copyright-centric firms reconstruct the "knowledge agent ideology", forming a symbiotic evolution model, which encompasses digital technology, copyright resource aggregation and cognitive reshaping. During the digital transition, enterprises leverage institutional capabilities and they transform exogenous copyright constraints into strategic innovation dividends. This drives market evolution from "content commercialization" to "copyright ecosystem", shift copyright resource allocation from "centralized control" to "equal sharing", and provide creators and users with more opportunities to participate in the content market. This research has examined the value creation and distribution models within adaptation and derivative work system in the process of digital transformation, establishment of copyright market mechanism, and amplification of knowledge value in the cultural industry, including literary works, music, games, and short-form videos. It will provide a guiding framework for sustainable development in these fields.

An appropriate exploratory innovation pace is crucial for enhancing corporate innovation efficiency and success rates, and it is of great significance for seizing innovation opportunities and realizing innovation-driven development. In the era of digital intelligence, the development and application of artificial intelligence (AI) technology have brought many opportunities for a new round of technological revolution and industrial transformation. However, existing research is insufficient in examining the relationship between the AI application and exploratory innovation pace at the firm level. Based on the organizational information processing theory and the data from Chinese A-share listed companies from 2011 to 2020, this paper conducted an empirical analysis on the relationship between AI application and exploratory innovation pace. The results showed that: (1) AI application has an inverted U-shaped impact on exploratory innovation pace; (2) Top management team regulatory focus moderates the relationship between AI application and exploratory innovation pace; (3) TMT promotion focus and prevention focus have heterogeneous regulatory effects on the relationship between AI application and exploratory innovation pace; and (4) The inverted U-shaped impact of AI application on exploratory innovation pace is stronger in non-state-owned enterprises, mature enterprises, low-tech industries, and enterprises in low-competition market environments. By doing so, this paper has deepened the understanding of the impact of AI application on exploratory innovation pace at the micro-corporate level and it will provide profound insights into the impact mechanism of top management team preference differences on corporate information processing and matching processes.

The future industry innovation ecosystem is a crucial carrier for China to cultivate future industries, gain first-mover advantages and develop new quality productivity in the context of the new system for mobilizing resources nationwide. It requires government architects for its formation. Combining the analytical idea of "motivation-process-outcome" and the comprehensive advantage theory, this study adopted China's hydrogen energy industry as the object, and used the longitudinal case study method to explore the formation mechanism of the future industry innovation ecosystem based on the governmental architecture. The results showed that: (1) there is a logical relationship and layered network structure among the components of the future industry innovation ecosystem, that is, networks of knowledge, entrepreneurship and business all have "subject-behavior-result" logic around disruptive technological innovation; (2) the government promotes the formation of the future industry innovation ecosystem along the comprehensive advantage strategic path by performing the role of an architect, and it sets system goals, shapes the layered network structure to establish the dominant advantages, provides key resources to accelerate the production and flow of energy to build the core competences, forms the innovation ecosystem to present the comprehensive advantages, and verifies whether the system goals are achieved; (3) the formation process of the future industry innovation ecosystem is sequentially the beginning period, the development period and the full promotion period, and the government accordingly sets the system goals of strategic technology reserve, key field system construction and comprehensive industrialization, and outputs start-up, developmental and enhancement resources on the basis of shaping the foundation-type, pyramid-type and fortress-type layered network structure, and forms the embryonic, juvenile and growth-type systems by building the core capabilities of strategic technology research and development, key field breakthroughs and comprehensive industrialization. The study will expand the grounded theory of innovation ecosystems in the context of future industries, and provide insights for the government to better play the architectural function to promote the formation of innovation ecosystems in future industries.

Emerging innovation ecosystems, such as those based on artificial intelligence foundation models, are rapidly taking shape. Unlike traditional industry innovation ecosystems, architects in these new ecosystems must navigate both positive and negative impacts of technological innovation during the experimental and exploratory phases of ecological construction. Further investigation is required to understand the formation mechanisms and governance strategies of these emerging industry innovation ecosystems. This paper employed a longitudinal case study approach, focusing on OpenAI, a leading research and development organization, to distill general patterns in the formation of emerging industry innovation ecosystems from the architect's perspective. It also delved into the varied governance mechanisms employed by architects within industry innovation ecosystems. The study revealed that: first, in the initial exploration phase, architects clarify technical objectives through open architecture and extensive testing of various technology pathways; second, during the development breakthrough phase, architects achieve a comprehensive technology layout by leveraging collaborative architecture, making focused investments in selected technology routes, integrating internal technology governance, and embracing public oversight; and third, in the continuous growth phase, architects enhance joint industry governance and engage in governmental governance activities by integrating architecture and accelerating the construction of innovation ecosystems, thereby reinforcing the legitimacy of ecological development. This paper constructed a "structure-conduct-governance-performance" (SCGP) process model, identified multiple governance mechanisms, including technology governance, public supervision, industry governance, and participation in government governance, and advanced research on the formation mechanisms of emerging industry innovation ecosystems. It will hold significant implications for research and development organizations aiming to achieve breakthroughs in emerging technologies and expedite the development of emerging industry innovation ecosystems.

The new round of revolution in science and technology and industrial transformation is rapidly advancing and sparking widespread discussions within the academic community. This paper conducted a systematic review of research progress in this field, highlighting the fundamental differences between mainstream economics and evolutionary economics regarding innovation and transformation. It further elaborated on the intrinsic connections among the new round of revolution in science and technology and industrial transformation, and innovation-driven development. By examining the technological evolution patterns, societal demands, security imperatives, and economic conditions, this study identified the key drivers of the new round of revolution in science and technology and industrial transformation. It also revealed how these drivers shape unique features in technological domains, innovation models, opportunities and challenges, and the competitive landscape. Against this backdrop, the paper emphasized that proactive transformations in institutional areas such as the science and technology system, innovation frameworks, innovation policies, and industrial policies are crucial for driving these changes. Finally, it will offer insights and future perspectives on advancing research into China's new round of revolution in science and technology and industrial transformation.

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.

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.

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.

How open-source collaboration empowers the high-quality development of international innovation networks is a critical issue for R&D innovation in virtual communities in the era of digital intelligence. Taking the GitHub open-source community as an example, this study analyzed the project data from January 1, 2019 to June 30, 2023. Through machine mining and data crawling, a total of 9,090 data entries from 606 projects were extracted and processed from 59,120 raw data points. Based on the quantitative empirical analysis, the study explored the influencing factors and mechanisms of innovation performance in virtual communities. The results showed that from a social network perspective, network cluster density positively contributes to software innovation performance. From a perspective of complementary collaboration, geographic diversity, structural diversity and openness diversity positively moderate the relationship between cluster density and innovation performance. In contrast to the emphasis on geographical proximity in offline physical communities, geographic diversity plays the most significant moderating role in open-source communities. Structural diversity highlights multi-core project governance structures, while openness diversity advocates highly open software licenses as part of institutional design. This study will enrich the theoretical understanding of social networks and complementary collaboration, and offer new insights for improving digital governance of open-source community.

Founding team resilience is critical for effectively addressing challenges posed by high uncertainty during the entrepreneurial process, enabling teams to recover, adapt, and grow rapidly while ensuring the survival and development of entrepreneurial ventures. However, existing research on founding team resilience remains in its initial stage. To address this, we clarified the research topic and status of founding team resilience by using a systematic literature review method, finding that existing studies lack consensus on the conceptual definition of founding team resilience, with research themes remaining fragmented, and there is a lack of attention to the unique characteristics and formation processes of founding team resilience in the Chinese context. In view of this, based on the perspective of dynamic process, we identified the concept of founding team resilience, divided it into three dimensions of recovery, stability, and growth, and indicated its connotation characteristics of highly contextualized and dynamically developing. Further, based on the "ternary interaction" model of the Social Cognitive Theory, a theoretical analysis framework was constructed by combining the characteristic basis, action process and contextual factors. The results showed that, founding team resilience is influenced by team structural, team cognitive, and team capabilities characteristics, and its formation is the result of the founding team effectively matching the internal and external context of enterprise to carry out strategic actions and continuous interactive iteration. Finally, we indicated that future research should consider measurement scales, influencing factors and mechanisms, impacts, and research in the Chinese context of founding team resilience. By enriching the perspective of founding team research under uncertain context, and broadening the scope of founding resilience research, we aim to offer some theoretical guidance to help founding teams overcome challenges and promote high-quality development.

The rapid development of artificial intelligence (AI) has injected new vitality into China's smart manufacturing transformation. How to integrate AI with smart manufacturing to achieve transformation is a critical challenge for Chinese manufacturing enterprises. From the perspective of "cognitive-behavior" integration, this paper explored the process of AI-driven smart manufacturing transformation in manufacturing enterprises through a longitudinal case study of BOE Technology Group. The findings indicated that: (1) The AI-driven transformation process of manufacturing enterprises experiences three stages: automation, integration and autonomy, culminating in a leap from basic intelligence to ecological intelligence; (2) Manufacturing enterprises employ three meaning construction approaches— "technology demand-driven", "strategic awakening-driven", and "cultural reshaping-driven"—which influence the three resource orchestration patterns of "utilization-oriented → exploration-oriented → dynamic-oriented", thus facilitating the integration of AI and smart manufacturing transformation; (3) The role of meaning construction in resource orchestration evolves dynamically in multiple stages, and presents a process of "guidance → reshaping → reinforcement". The results have not only provided a theoretical framework for manufacturing enterprises to achieve smart manufacturing transformation but also enriched the application of resource orchestration theory and managerial cognition theory. The study will offer valuable insights for strategic decision-making in smart manufacturing transformation within manufacturing enterprises.

The digital transformation of manufacturing enterprises has increasingly become a hot spot for both academics and practitioners. Due to the complexity of transformation, the related mode and realization mechanism are still in the exploration stage. Using the method of qualitative meta-analysis and 53 research cases as objects, this paper expanded and deepened the dual perspectives of "process value-added-customer value-added" and explored the internal mechanisms of different digital transformation modes of Chinese manufacturing enterprises. The results showed that: First, the digital transformation consists of two paths, namely process value-added and customer value-added, which are manifested in the positioning of local digitization, global digitization and ecological digitization as well as the choice between goods-dominant logic and service-dominant logic. Second, according to the combination of differentiated paths, the transformation modes can be divided into such five types as leap-over type, reconfiguration type, incremental type, mixed type and disruptive type. Third, the internal mechanism of digital transformation mode can be analyzed by using the logical chain of "transformation context - behavioral mechanism-transformation result". Different digital transformation modes stem from the differentiated resource reorganization mechanism, institutional action mechanism, digital innovation mechanism and transformation results which result from transformation contexts. This study has innovatively extended the micro-combination mechanism of resource orchestration, institutional, and digital innovation theories within diverse digital transformation modes, with its conclusions being instructive and inspiring for both relevant theories and practical endeavors in the digital transformation of manufacturing enterprises.

Complex product systems have unique characteristics of technology and market regime, and latecomers are faced with catch-up challenges such as cold start paradox, technology accumulation difficulty and path dependence dilemma. Based on the longitudinal case study of China's shield machine industry from catch-up to beyond, this paper explored the user participation features and innovation operation patterns in the process of technology catch-up of complex product systems, and expanded the path reference and management insights for the technology catch-up of complex product systems in deepening the research on subject interaction of national innovation system theory. This research found that key users with specific product requirements and significant industry influence fully participate in the innovation process and deeply influence decision-making. From the aspects of subjective collaboration, innovation effectiveness and learning effects, users drive the technological catch-up of complex product system industry. They have advantages such as application demonstration and learning of mature technologies, industrial-level collaboration, and frontier value propositions in addressing catch-up challenges. Furthermore, key users play a critical role in knowledge integration, scenario orchestration, and system coordination within the collaborative industrial modes of national innovation systems focused on the beyond catch-up, driving technological innovation and rapid catch-up in the complex product system industries.

Promoting the market-oriented transformation of industrial policies is an inevitable path to achieve the high-quality development of China's economy in the new era, and the study of the impact on the allocation of factor resources has become a key focus of evaluating the economic effects of selective industrial policies. In response to the problem of insufficient attention to macro effects and limited expansion of effectiveness boundaries caused by the relatively fixed abstract variables of policy behavior in existing research, this paper empirically tested the mechanism and effect of selective industrial policies on resource misallocation based on quasi-natural experiments in national industrial transfer and undertaking demonstration zones using a multi-period DID model, and deeply explored its impact on economic geographic spatial distance heterogeneity. The research has found that: (1) the establishment of national level industrial transfer and undertaking demonstration zones will exacerbate the mismatch of labor resources, while the impact on capital mismatch is not significant; (2) Establishing industrial transfer demonstration zones can effectively alleviate the mismatch of labor resources in the eastern region, but it will exacerbate the mismatch of labor resources in the central region. Currently, the impact on the allocation of labor resources in the western region is not significant; (3) The crowding effect of "true crowding and false agglomeration", increased pressure on government growth, and imbalanced supply and demand in factor markets are the main mechanisms through which policies distort the allocation of labor resources; (4) The mismatch effect of labor resources in areas with accessible transportation, slow population growth, and small urban scales is significant, while being closer to large ports and cities will weaken the mismatch effect of selective industrial policies. The research conclusion of this paper will help to further clarify the deep-seated impact mechanism of selective industrial policies on factor resource allocation, and provide useful practical insights for the government to improve the implementation performance of industrial policies and empower high-quality economic development.

Standards are a solid technical support and crucial mechanism for achieving international regional cooperation connectivity. Standardization policies offer planning, deployment and institutional support for standardization efforts. This study, grounded in the policy diffusion theory, employed the LDA2Vec model to conduct in-depth mining of standardization policy texts related to the Belt and Road Initiative (BRI) at national and provincial levels and systematically revealed the inherent logic as well as distinctive policy models and characteristics of the diffusion of China's international regional cooperation standardization policy. It found that: (1) For the dimension of hierarchical policy orientation, national policies exhibit a comprehensive characteristic, while regional policies are transmitted progressively and tailored to local conditions, demonstrating significant regional heterogeneity. (2) Regarding the time evolution dimension, the development of BRI standardization policies can be divided into three stages: policy mobilization, expansion, and adjustment, demonstrating an R-shaped growth trend. Meanwhile, the evolution of policy themes encompasses three distinct types: inheritance, derivation, and integration, while demonstrating intertwined and converged attributes. (3) Hierarchical policy diffusion is influenced by vertical coercive diffusion, central-local interactions, horizontal local internal factors, and learning and imitation mechanisms. The intrinsic logic driving the cross-stage diffusion of policies over time is path dependence and social learning mechanisms. This research will enrich the research on the theory of policy diffusion and the international regional cooperation standardization policies, with an aim to provide a reference for the formulation and implementation of policy decision-making systems that promotes the high-quality development of international regional cooperation and contributes to the provision of new solutions for global governance.

Scientific research instruments are indispensable tools for scientific research and technological development, and advanced scientific research instruments themselves are also important scientific and technological innovation achievements, so their development and innovation are important elements to promote scientific and technological progress. In this paper, six scientific research instrument projects successfully cultivated by Jiangsu Industrial Technology Research Institute and Beijing-Tianjin-Hebei National Technology Innovation Center were taken as research objects, and the breakthrough path of high-quality development of scientific research instrument industry was studied and discussed from the perspective of industrial innovation system. It was found that the high-quality development of scientific research instrument industry is the result of knowledge and technology, multi-agent innovation network and system. Among them, having international level and independent and controllable core technology is the key to achieve high-quality development, the organic collaboration of multiple innovation subjects is the basis for achieving high-quality development, and flexible and innovative scientific research organization mode and scientific and effective funding mechanism are indispensable institutional support for achieving high-quality development. The research will invariably promote the theoretical innovation of industrial innovation system, enrich the high-quality development research of scientific research instrument industry, and provide inspiration for cultivating leading enterprises of scientific research instrument and improving the level of industrial technological innovation in the new era.

It is of great significance for the high-quality development of international entrepreneurship that high-value patent-driven technology search promotes knowledge acquisition and technological innovation of international entrepreneurship. However, the existing research cannot solve the problem of international start-ups using technology search strategies to achieve high-quality development under the constraints of limited resources, and ignores the impact of institutional distance on them. Based on the recombinant search theory and institutional theory, this paper took China's international start-ups with high-value patents as samples, selected their panel data from 2008 to 2022, and explored the impact of technology search breadth and depth on the high-quality development of international entrepreneurship, as well as the moderating role of formal institutional distance and informal institutional distance in it. The results showed that: (1) The breadth of technology search driven by high-value patents has an inverted U-shaped relationship with the high-quality development of international entrepreneurship, and the depth of technology search driven by high-value patents has a positive relationship with the high-quality development of international entrepreneurship; (2) The formal institutional distance plays a positive moderating role in the inverted U-shaped relationship between the breadth of technology search and the high-quality development of international entrepreneurship, that is, it strengthens its inverted U-shaped relationship, and positively moderates the positive relationship between the depth of technology search and the high-quality development of international entrepreneurship; (3) The informal institutional distance plays a positive moderating role in the inverted U-shaped relationship between the breadth of technology search and the high-quality development of international entrepreneurship, that is, it strengthens its inverted U-shaped relationship, and positively moderates the positive relationship between the depth of technology search and the high-quality development of international entrepreneurship. To a certain extent, the conclusions revised the internal logic between technology search, institutional distance and the high-quality development of international entrepreneurship, and expanded the perspective of high-value patents and international entrepreneurship research, and it had a certain enlightening effect on the realization of high-quality development of international entrepreneurship enterprises.

Innovation, as the primary driving force for development, is a crucial power in propelling China's economic construction. However, Chinese enterprises still face numerous challenges such as weak innovation capabilities, insufficient continuous innovation, and low coordinated innovation abilities. With the deepening of enterprise informatization processes, digital and intelligent empowerment has become a new driving force for enterprises to enhance their innovative capabilities and gain sustainable competitive advantages. Based on the resource orchestration theory and the innovation ecosystem theory, following the TOE framework and using 275 computer, communication, and electronic equipment manufacturing enterprises as examples, this paper employed the fuzzy-set qualitative comparative analysis (fsQCA) method to investigate various linkage path combinations through which digital and intelligent empowerment can achieve dual innovation in enterprises. The study found that: Firstly, technical level, organizational characteristics, and environmental features cannot individually serve as necessary conditions for achieving high dual innovation; they need to work synergistically. Secondly, exploratory innovation and exploitative innovation have differentiated driving paths. Specifically, there are three driving paths for exploratory innovation: the technology research and development-driven type under the dual logic of organization and environment, the digital and intelligent executive-driven type under the dual logic of technology and environment, and the triple driving type under the logic of technology, organization, and environment; while there is one driving path for exploitative innovation: the dual driving type under the logic of technology and organization. Under digital and intelligent empowerment, the driving paths for exploratory innovation are more diverse, and the development of innovation based on entirely new concepts or technological paradigms relies more heavily on the synergistic linkage between different digital and intelligent conditions. Thirdly, technical conditions are a critical core condition for developing high dual innovation; when technical conditions are sufficiently superior, organizational and environmental conditions exhibit a substitutive relationship and can interact with technical conditions to jointly promote high dual innovation development. This research will help deepen the understanding of the complex paths of enterprise dual innovation and thus provide significant insights for policy formulation.

The cultivation of enterprises' technological self-reliance and self-improvement capability is an important support for China to promote the development of Chinese path to modernization through comprehensive innovation. Among them, the upgrading of intellectual property as a complementary asset enabling technology standard is the dominant design, which is a key measure for the formation of enterprises' technological self-reliance and self-improvement capability. However, the process mechanism is still unclear. This study conducted a single case study based on XCMG, a leading enterprise in the construction machinery manufacturing industry, exploring the mechanism of the synergy between technical standards and intellectual property to promote the formation of technological self-reliance and self-improvement capability. The research found that: (1) the technological self-reliance and self-improvement capability is composed of six elements of capabilities, including independent and leading capabilities in technological innovation, development and competition capabilities in international market, leading and controllable capabilities in institutional rules; (2) technical standards and intellectual property in different dominant design stages has shifted the direction of synergistic from "same track" to "changing track", and the relative speed of their synergistic has evolved from "different speed-same speed -acceleration". heterogeneous synergistic behavior forms synergistic mechanisms such as defense, offense, autonomy, and win-win, which is the process mechanism for building technological self-reliance and self-improvement capabilities; and (3) during the transition process of leading the design phase, the collaborative relative velocity drives the change of collaborative direction, presenting a change of "different speeds constrained by the same orbit - same speed driven orbit change - acceleration leading". This process is the mechanism for upgrading different levels of capabilities and combinations to ultimately form the ability to achieve technological self-reliance and self-improvement. This research has deconstructed the connotation of enterprises' technological self-reliance and self-improvement capability from the three-dimensional framework of "technological innovation-market development-institutional rules", carried out dynamic evolution exploration of their synergy behavior from a new perspective of the relative speed and direction of synergy, and constructed a mechanism for building and improving enterprises' technological self-reliance and self-improvement capability based on the synergy of the two, and it will provide important enlightenment for China's scientific and technological innovation manufacturing enterprises represented by construction machinery to comprehensively promote the development of Chinese path to modernization through innovation.

Two types of industrial Internet platform construction paths, with Internet platform enterprises and leading enterprises as the main body, have emerged in industrial practice, and the differentiation between the two paths is apparent. This paper adopted the double case study method, taking Alibaba's construction of Taogongchang and Wolong Group's building Imotorlinx as examples, analyzing the specific process of building platforms for the two types of main bodies and identifying the differences in their construction process. The research findings are threefold: firstly, there are differences in the processes of constructing industrial Internet platforms between Internet platform enterprises and leading enterprises, with Internet platform enterprises focus on small enterprises and constructing industrial Internet platforms through platform empowerment. In contrast, leading enterprises start from large enterprises and construct industrial Internet platforms through value co-creation; secondly, the process of building industrial Internet platforms by Internet platform enterprises follows specifically the pattern of "platform thinking base - digital capability cultivation - empowerment-led platform realization", and the process of building industrial Internet platforms by leading enterprises follows the pattern of "network thinking base - platform capability cultivation - co-creation-led platform realization"; and thirdly, the essential difference between two paths lies in the platform and network logic in the institutional logic followed by enterprises. The platform logic emphasizes the platform as the center, connecting the digital capability through the platform capability and finally constructing the industrial Internet platform. The network logic emphasizes the leading enterprise as the center, develops the platform capability through the social network, and eventually builds the industrial Internet platform. This research has bridged the gap in research on the construction of industrial Internet platforms by discussing the organizational level, identifying the platform logic and network logic, and expanding the application of institutional logic, and the conclusions will thus provide insights into the numerous industrial Internet platform construction challenges in industrial practice.