The optimization of the innovation environment, the deep integration of industry and talent, institutional reforms, and regional collaborative innovation were discussed. Focused on core issues such as restructuring the talent ecosystem in the era of artificial intelligence, establishing cross-sector collaboration mechanisms for new-type R&D institutions, organizational model innovations for breakthroughs in core and critical technologies, and constructing demonstration zones for industry-education integration, the pathways for supply-side reform in education, strategies for reconstructing the evaluation system for science and technology talent, and approaches to optimize the allocation of innovation elements in the market were systematically explored. By analyzing typical cases like the "Industry-Talent Integration Demonstration Zone" in Hangzhou, the forum proposed policy recommendations, including building a full-chain science and technology innovation service system, improving the "four-chain integration" ecological system, and strengthening the cultivation mechanism for strategic scientists. These proposals aim to provide both theoretical support and practical reference for establishing globally competitive hubs for talent development and driving the leapfrog advancement of new quality productive forces.

The upgrading of human capital is an important guarantee for the realization of high-quality development of enterprises and a realistic requirement in the period of comprehensive green transformation of the economy. Based on the data of employee skill structure of Chinese A-share listed companies from 2010 to 2022, the data of enterprise green transformation were obtained through text analysis to explore the impact of green transformation on human capital upgrading of enterprises and its impact channels. The results show that green transformation has a significant promotion effect on enterprise human capital upgrading, and this conclusion still holds after a series of robustness tests, such as replacing variables, considering other policy shocks, and instrumental variable tests. The mechanism analysis shows that green transformation can alleviate enterprise liquidity constraints, promote enterprise capital deepening, increase enterprise R&D investment, trigger the creative destruction of different skills, and then promote enterprise human capital upgrading. Additionally, the human capital upgrading effect of green transformation is more obvious in state-owned enterprises, enterprises with high quality of internal control, non-technology-intensive enterprises, and enterprises in eastern regions. The results not only provide thoughts on the relationship between green transformation and human capital upgrading of enterprises, but also offer insights for the realization of the dual goals of economic and environmental benefits in the stage of high-quality development.

Scientifically identifying the influencing factors of the talents' mobility is the foundation for China to build a world-class talent center and innovation highland, as well as to optimize the regional distribution of talent resources. By analyzing the influencing factors of the academic talents' mobility in China using micro-data of 2004 Changjiang Scholars, the following empirical conclusions can be obtained. A higher level of economic development creates a pull factor, and a higher level of consumption expenditure creates a push factor for the mobility of academic talents. Convenient living and high-quality air create pull factors for the mobility of academic talents. High-ranking institutions are easier to gather talents, but in the areas and institutions with a higher level of innovation development, the academic talents flow more. The academic talents have a strong preference for working in their hometown. At different individual stages, the career development factors and hometown both have a relatively stable influence on the mobility decision, however the economic and social environmental factors are found to have different influences. By revealing the influencing factors of the academic talents' mobility, and the similarities and differences in the impact of various factors at academic talents' different career stages, the researches of the academic talents' mobility have been enriched. Meanwhile, references have been provided for the government to scientifically implement policies to attract academic talents to gather and guide them to flow orderly.

The rapid transition of new-quality productive forces from "factor-driven" to "innovation-driven" is accelerating. The core demands of this transformation were focused on, and the intrinsic mechanisms and practical approaches of neuro-innovation in enhancing individual innovative capabilities were explored. Grounded in the theory of the three elements of productivity, it positions innovative talent as the central factor and explores, at a micro level, the impact of neuro-innovation on individual innovation capacity. By integrating insights from neuroscience and innovation studies, the critical roles of physiological indicators, emotion-cognition interactions, and personality traits in shaping and enhancing innovation ability were systematically revealed. It also discusses the unique advantages of neuro-innovation tools in dynamically measuring, precisely analyzing, and effectively intervening in individual cognitive behavior. Furthermore, an interactive mechanism and developmental model based on the "practice-talent-technology" cycle and the "practice-theory-practice" reinvention cycle are proposed. A novel theoretical framework and practical pathway for cultivating innovative talent are constructed, and new perspectives for advancing new-quality productive forces are revealed.

Based on the study and implementation of the spirit of the Third Plenary Session of the 20th Central Committee of the Communist Party of China (CPC), the connotations, characteristics, and practical pathways of the regional coordinated development strategy mechanism were explored, aiming to promote Chinese-style Modernization through high-level regional coordination. First, it reviews the formation and evolution of the regional coordinated development strategy, analyzing its policy innovations and practical paths at different stages. It systematically elaborates on the core content of the regional coordinated development strategy mechanism, emphasizing that building a complementary regional economic layout and improving market, cooperation, and mutual assistance mechanisms are key guarantees for achieving regional coordinated development. Secondly, it explores the value connotation of the strategy, pointing out the significant importance of promoting the efficient flow of production factors between regions, optimizing regional division of labor and development, and improving the overall national economic efficiency and development quality. Finally, from the perspective of practical pathways, it proposes strengthening national top-level design and policy guidance, constructing a unified and open market environment, optimizing regional spatial layout and functional positioning, promoting the coordinated development of urban agglomerations and metropolitan areas, deepening regional cooperation and mutual assistance mechanisms, and innovating regional development policies and support mechanisms, in order to provide theoretical support and practical insights for regional coordinated development and Chinese-style modernization in the new era.

China stands at the historic juncture of a century's transformation and a fresh wave of scientific and technological revolution, confronted with complex domestic and foreign environments, and urgently requires the formation and enhancement of new quality productive forces. FinTech is recognized as a pivotal component in deepening the structural reform of the financial supply side and establishing a modern financial system, serving as a significant driver for the advancement of regional new quality productive forces and providing substantial impetus for achieving high-quality economic development. Consequently, investigating the impact of FinTech on regional new quality productive forces holds considerable practical importance. Taking 30 provinces (Due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province.) in China from 2012 to 2022 as research samples, the influence of FinTech levels on regional new quality productive forces was explored. It identified and tested the moderating effect of financial regulation, leading to several conclusions. Firstly, FinTech is found to empower the development of regional new quality productive forces, with this finding remaining robust after various tests, including replacing explanatory variables, altering the sample time frame, and addressing endogeneity issues. Secondly, the analysis reveals heterogeneity across three dimensions: regional disparities, differences in private finance levels, and variations in regional finance levels. Specifically, FinTech significantly boosts new quality productive forces in both eastern and central-western regions, but the effect is more pronounced in the central and western regions. Additionally, FinTech has a greater impact on new quality productive forces in areas with lower levels of private finance. Lastly, FinTech needs to reach a certain threshold to exert a promotional effect on regional new quality productive forces. Thirdly, empirical analysis shows that financial regulation positively moderates the relationship between FinTech levels and regional new quality productive forces. Fourthly, further research indicates a nonlinear relationship between the driving effect of FinTech levels on new quality productive forces, with its impact constrained by the level of financial regulation. These findings offer empirical support for promoting FinTech development, strengthening financial regulation and governmental governance capabilities, and enhancing the level of regional new quality productive forces.

The increasing role of artificial intelligence (AI) technology as a core driver for manufacturing industry transformation has revealed that enterprises' deficiencies in data resource integration and internal management constitute major obstacles to intelligent-driven upgrading. To address this issue, based on the resource orchestration theory, Chinese A-share listed manufacturing companies from 2007 to 2022 were conducted to investigate the impact and mechanism of AI technology on the transformation and upgrading of manufacturing enterprises. It is found that a significant positive correlation is identified between AI technology adoption and manufacturing enterprise transformation, which remained consistent through endogeneity and robustness tests. AI technology also can promote the transformation and upgrading of manufacturing enterprises through two independent mediating effects of enhancing the application level of data factors and improving the quality of internal control, as well as the chain mediating effect of the two. The impact of AI technology on the transformation and upgrading of manufacturing enterprises in non-state-owned, technology-oriented mergers and acquisitions, fast-changing technology-related industries, and high-tech industries is greater. These conclusions expand the mechanism of AI technology in the transformation and upgrading process of manufacturing enterprises and provide a theoretical basis and practical reference for enhancing their transformation and upgrading capabilities.

The comprehensive development of digital technology and its deep integration into enterprise operations have become critical factors for businesses exploring new growth opportunities and enhancing their position in the global value chain division of labor. Based on data from Chinese listed companies and the Chinese customs database, the impact of enterprise digital transformation on increasing domestic value-added export rates and its operational mechanisms was verified. Key findings of the research include： digital transformation significantly enhances the domestic value-added export rates of enterprises, primarily through optimizing human capital structure, improving productivity, and enhancing innovation capabilities. Heterogeneous analysis across different types of enterprises shows that in labor-intensive enterprises, general trade enterprises, state-owned enterprises, and regions with higher levels of digital economic development, the effect of digital transformation on increasing domestic value-added export rates is statistically significant. These research conclusions provide micro-level evidence and a decision-making basis for advancing enterprise digital transformation and promoting China's enterprises towards higher tiers of the global value chain.

Disruptive digital innovation is a critical means for enterprises to achieve a competitive edge in the digital economy. It holds significant importance for addressing “technology choke points” and implementing digital innovation strategies in China. Existing research remains at the stage of phenomenological observation, empirical summary, and fragmented studies of individual influencing factors, necessitating a systematic theoretical organization. An overview of disruptive digital innovation in enterprises and the key concerns of existing research was presented. The conceptual connotations of disruptive digital innovation in enterprises were clarified and distinguished from disruptive innovation and digital innovation. The influencing factors and process mechanisms of disruptive digital innovation in enterprises were explored, and an integrated I-P-O research framework was constructed. The outcome effects of disruptive digital innovation on user experience, organizational performance, and social value are summarized. Future research directions are proposed in response to the gaps identified in current studies. These include exploring the multidimensional influencing factors and their interactions, expanding the complex process mechanisms and impact effects of disruptive digital innovation, and extending the mechanism verification and path design of disruptive digital innovation in China's digital context. These suggestions provide ideas and references for further research on disruptive digital innovation in enterprises.

Integrating insights from organizational behavior theory and resource management perspective, a moderated serial mediation model was proposed. The mechanisms through which external information acquisition and internal strategic renewal transform unabsorbed slack resources into firm competitiveness were examined. Empirical results derived from a sample of 288 manufacturing firms show that unabsorbed slack resources positively influence firm competitiveness not only through the distinct indirect effects of environmental scanning and strategic renewal, but also through their serial mediating roles. Specifically, competitive intensity negatively moderates the mediating effect of environmental scanning on the relationship between unabsorbed slack resources and competitiveness, while it positively moderates the mediating effect of strategic renewal within the same relationship. Moreover, competitive intensity enhances the serial mediating effect of environmental scanning and strategic renewal. It deepens the understanding of the mechanisms underlying the synergistic effects of different resource management strategies, opens up the black box of the internal mechanisms through which unabsorbed slack impacts firm competitiveness, and provides significant implications for firm managers aiming to devise effective strategies for managing slack resources.

As an important force to accelerate the development of new quality productive forces, "specialized, refined, differential and innovative"(SRDI) enterprises have significant implications for China's realization of high-level scientific and technological self-reliance and self-sufficiency through their diversified technology strategies. Based on the resource-based view and diversification theory, an empirical analysis was conducted on the non-balanced panel data of 703 listed SRDI enterprises in China from 2018 to 2022 to explore the relationship between technological diversification and breakthrough innovation performance, and analyze the moderating effect of industry competition on the main effect. The impact of both related and unrelated technological diversification on the breakthrough innovation performance of SRDI enterprises is observed to be positive, with related technological diversification demonstrating a more pronounced enhancement effect. Industry competition interaction is found to weaken the positive influence of related technological diversification on breakthrough innovation performance, while no significant moderating effect is detected in the case of unrelated technological diversification. Conversely, higher industry competition intensity is revealed to strengthen the positive relationship between unrelated technological diversification and breakthrough innovation performance, whereas no significant moderating role is observed for related technological diversification. These findings contribute to the existing research on factors influencing breakthrough innovation in SRDI enterprises, offering strategic references for selecting technological diversification approaches under varying competitive environments under the new development pattern.