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20 September 2025, Volume 46 Issue 9 Previous Issue   

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Corporate digital responsibilities: A literature review and prospects He Yuanqiong, Meng Jiaqi 2025, 46(9): 1-12.  DOI: 10.19571/j.cnki.1000-2995.2025.09.001 Abstract ( 130 )      With the advent of the digital era, the lack and alienation of digital responsibility have frequently emerged, triggering widespread digital trust crises. Current research on Corporate Digital Responsibility (CDR) remains in its nascent stage, with no unified consensus on its conceptual boundaries. Scholars predominantly focus on fragmented issues such as algorithmic accountability, while in-depth explorations of its research scope, foundational theories, influencing factors, and mechanisms of action remain insufficient. To address this deficiency, this study first synthesized scholars′ definitions and research perspectives to conceptualize CDR, categorizing it into four dimensions: social, environmental, economic, and technological responsibilities. Second, it delineated the research trajectory and core themes of CDR through temporal distribution analysis, co-citation analysis, and keyword co-occurrence network mapping. Furthermore, drawing on existing scholarship, the paper constructed theoretical frameworks grounded in the stakeholder theory and the power-responsibility equilibrium theory from a digital perspective, systematically examining external societal environments and internal organizational factors that influence CDR, along with their operational mechanisms. Finally, by identifying current research limitations and proposing advancements in content exploration, methodological innovation, and contextual embedding, this study has outlined future directions for CDR research. In addition, employing systematic literature review and bibliometric analysis, this paper has conducted a structured synthesis and visualization of extant CDR literature, aiming to provide valuable insights for subsequent research in this field. References | Related Articles | Metrics

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From factor cognition to framework construction: A review of the research on data production factors from the perspective of new quality productive force Dong Lijie, Zhang Yongqing, Liu Xinping 2025, 46(9): 13-24.  DOI: 10.19571/j.cnki.1000-2995.2025.09.002 Abstract ( 70 )       In the rapid development of digital economy, data has become the pivotal driver of new quality productive forces (NQPF). However, the existing research lacks systematic integration of the correlation mechanism between data and NQPF. This paper reviewed relevant literature following the logic of "Connotation Evolution—Characteristics Analysis—Mechanism Overview—Framework Integration". The results showed that: (1) The evolution of data′s connotation in terms of information resource carrying, value form transformation and factor integration is highly consistent with NQPF′s essential requirements; (2) The inherent characteristics of data have reshaped the productivity growth logic, providing a new paradigm for enhancing NQPF; (3) Data′s role exhibits multifaceted effects across economic dimensions: at the microlevel, it is the coexistence of productivity enhancement and the "digital paradox"; at the meso-level, it drives industrial restructuring while exacerbating market imbalances; and at the macro level, it raises the challenge of imbalance while promoting economic growth; and (4) Synthesizing existing findings, this study innovatively proposed an integrated framework of "factor—technology—organization—pattern", thus revealing data′s transition from "factor empowerment" to "systemic emergence" in driving productivity. Through this review, we have advanced theoretical construction from factor deconstruction to framework integration and will outline future research directions to inform theoretical innovation and policy formulation in this field.  References | Related Articles | Metrics

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Research on the influence of data element marketization on the resource allocation efficiency of enterprises Xu Ye, Wang Zhichao, Tao Changqi 2025, 46(9): 25-34.  DOI: 10.19571/j.cnki.1000-2995.2025.09.003 Abstract ( 97 )      Improving the efficiency of enterprise resource allocation is the key to ensure cost control, enhance productivity and enhance competitiveness. As an important new factor of production in the era of digital economy, it is worth exploring whether enterprises can improve their resource allocation efficiency through marketization of data elements. Based on the data of Shanghai and Shenzhen A-share listed companies from 2011 to 2022, this paper constructed a dual difference model to effectively test the influence effect and action path of the marketization of data elements on the enterprise resource allocation efficiency. The study found that: (1) the marketization of data elements has significantly improved the efficiency of enterprise resource allocation, and the influence on high degree of market segmentation, strong factor flow and high degree of market competition is more obvious in regions and industries; (2) the marketization effect of data element construction on improving the efficiency of enterprise resource allocation is mainly realized through cost saving effect and digital technology innovation; and (3) the marketization of data elements increases the total productivity by affecting the efficiency of enterprise resource allocation, and the overall trend of first decreasing, then decreasing and then increasing. This paper will enrich the relevant research on the economic consequences of the marketization of data elements, reveal the internal mechanism of the marketization of data elements to improve the efficiency of enterprise resource allocation, and provide empirical evidence for further improving the efficiency of enterprise resource allocation and promoting the development of market economy. Related Articles | Metrics

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Research on the roles of social norms in ChatGPT-assisted knowledge innovation Peng Haoyu, Zhang Huiqin, Wang Changmei, Gong Yongzhi, Tang Xiaofei 2025, 46(9): 35-45.  DOI: 10.19571/j.cnki.1000-2995.2025.09.004 Abstract ( 43 )       Exploring ChatGPT-assisted knowledge innovation from the perspective of social norms offers new theoretical foundations for artificial intelligence governance and provides clearer behavioral guidelines for both developers and users. Prior research on ChatGPT applications primarily focuses either on the efficiency of technological empowerment or on its emotional impacts, while few studies have examined it from the perspective of social norms. Based on a questionnaire survey, this paper analyzed the data from 320 knowledge innovators to demonstrate that: (1) Promotion-oriented social norms in ChatGPT-assisted knowledge innovation significantly enhance knowledge innovators′ intentions to adopt ChatGPT, whereas prevention-oriented social norms significantly decrease it, indicating the influence of external social factors on their behavior; (2) Knowledge innovators′ confidence in knowledge innovation mediates the relationship between social norms in ChatGPT-assisted knowledge innovation and the intentions to adopt ChatGPT, indicating that psychological factors influence group behavior in this context; and (3) ChatGPT creativity savvy moderates the relationship between social norms in ChatGPT-assisted knowledge innovation and knowledge innovators′ confidence. This study has advanced the existing theoretical framework of ChatGPT adoption intentions from social norms perspective, and extended the applicability of ChatGPT creativity savvy to knowledge innovation, and it will provide valuable insights into practical pathways for knowledge innovation in the era of artificial intelligence. References | Related Articles | Metrics

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Comprehensive cyber governance in the digital-intelligent era: A research review and prospects Yan Qiang, Jiang Ting, Wei Na, Yi Lanli 2025, 46(9): 46-56.  DOI: 10.19571/j.cnki.1000-2995.2025.09.005 Abstract ( 33 )      Strengthening the comprehensive cyber governance system is a critical research focus for advancing China′s strategy of becoming a global cyber power. The year 2024 marks both the 10th anniversary of General Secretary of the Communist Party of China Central Committee Xi Jinping′s proposal of the cyber power strategy and the 30th anniversary of China′s full access to the global cyber. At this critical historical juncture, reviewing systematically the evolutionary path and theoretical logic of comprehensive cyber governance research holds significant theoretical and practical values. Based on a conceptual definition of "comprehensive cyber governance", this study made a systematic review of 507 high-quality journal papers published domestically and internationally. The findings revealed that domestic research emerged earlier and demonstrated more systematic outcomes, evolving through three distinct phases: exploratory rigid control under a legal framework, government-led collaborative regulation, and multi-stakeholder comprehensive governance. Furthermore, leveraging Parsons′ AGIL model from structural functionalism, this study constructed a research framework comprising goal attainment, integration, adaptation, and latency, synthesizing four core themes in comprehensive cyber governance research: generative logic and conceptual construction; internal mechanisms of governance actors and tools; governance models and pathway exploration; and efficacy evaluation systems. Finally, in light of governance challenges posed by digital-intelligent technologies (e.g., ChatGPT, DeepSeek), future research directions were proposed, including empirical modeling of collaborative mechanisms, dual-attribute analysis of digital-intelligent technologies, dynamic adaptation of governance pathways, and AI-driven transformation of evaluation systems. The results will contribute to advancing theoretical research on comprehensive cyber governance and provide practical insights for strengthening governance frameworks. Related Articles | Metrics

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Research on the paths for user-driven core technology breakthroughs of megaprojects Xiao Bin, Chen Jin, Lu Wanfei 2025, 46(9): 57-68.  DOI: 10.19571/j.cnki.1000-2995.2025.09.006 Abstract ( 23 )      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. References | Related Articles | Metrics

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A configurational analysis of the industrial internet-driven technological innovation in enterprises: A QCA study of MIIT′s leading application cases Lu Pingjun, Fang Lin, Lu Dingming, Ma Xujie 2025, 46(9): 69-77.  DOI: 10.19571/j.cnki.1000-2995.2025.09.007 Abstract ( 24 )      The booming growth of industrial internet platforms is reshaping how enterprises produce and innovate, yet their underlying mechanisms in promoting technological innovation remain to be thoroughly explored. This study employed the fuzzy-set qualitative comparative analysis (fsQCA) method to empirically analyze 138 pioneering cases of industrial internet innovation in China, and examined how industrial internet platforms facilitate technological innovation under varying conditions across the dimensions of technology, organization, and environment. The research revealed that: (1) the coordinated fit among industrial internet platforms′ technical capabilities (digital and network), firm characteristics (size and type), and the external environment (market competition and regional financial support) is vital for realizing technological innovation; (2) Enterprises with high levels of technological innovation follow notably diverse pathways, mainly including: large firms leveraging external technologies to develop digital capability platforms in challenging environments; large state-owned enterprises building digital platform capacities via in-house R&D; and large private firms constructing innovation ecosystems through network capabilities supported by regional policies; and (3) for firms with low technological innovation, predominantly small in scale, it was found that simple adoption of industrial internet platforms does not effectively drive innovation. This research has developed an innovation path model grounded in the TOE framework to unveil the intricate impacts of diverse element configurations on technological innovation, and enriched theoretical insights into digital transformation and innovation mechanisms, and it will offer valuable references for governments to craft targeted support policies and for enterprises to refine innovation strategies. References | Related Articles | Metrics

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Research on the impact of market power on enterprise digital transformation Wang Ruzhong, Sheng Haowei 2025, 46(9): 78-87.  DOI: 10.19571/j.cnki.1000-2995.2025.09.008 Abstract ( 62 )       Market power, as a critical factor influencing risk management and resource allocation, plays a pivotal role in shaping and executing strategies for digital transformation. Using the data from A-share listed companies between 2017 and 2021, this study applied the fixed effects and moderating effects models, grounded in theoretical analysis, to explore how market power affects enterprise digital transformation, and uncovered several key findings: (1) Market power significantly drives enterprise digital transformation and exhibits characteristics of marginal increasing returns; (2) The business environment plays a moderating role in the impact of market power on digital transformation; (3) The impact of market power on digital transformation exhibits heterogeneity, with a more pronounced promoting effect observed in non-state-owned enterprises, labor-intensive enterprises, and enterprises located in eastern regions; and (4) Market power fosters sustained growth in intangible investments related to digital technologies, indicating a dynamic cumulative effect. The paper will broaden the research horizon on market power and enterprise digital transformation, thus offering practical implications for promoting digital transformation and optimizing the business environment. Related Articles | Metrics

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Research on the risk control of independent innovation of "SRDI" enterprises under the context of strong resource constraints Wang Dongsheng, Ren Yirong, Xue Haiyan 2025, 46(9): 88-98.  DOI: 10.19571/j.cnki.1000-2995.2025.09.009 Abstract ( 21 )      Developing specialized, refinement, differential and innovation ("SRDI") enterprises is the main measure to solve the "stranglehold" dilemma in China. Compared with leading enterprises in the industry, their independent innovation activities face stronger resource constraints, smaller customer groups, higher innovation requirements, and more radical innovation strategies, so they have higher independent innovation risks. In the context of strong resource constraints, how to effectively control the risk of independent innovation is a major management problem. This paper selected Keda Automation, SRDI, as the subject of a case study, and explored the risk control of independent innovation based on the theory of technology risk and innovation diffusion. The results showed that: (1) Strong resource constraints are an important context characteristic of SRDI to improve their independent innovation capabilities, which are manifested in resource scarcity, limited capacity and selective utilization innovation; (2) The independent innovation process of enterprises is mainly composed of two stages: R&D and diffusion, and the risks faced in the R&D stage are mainly technical risks, which are specifically manifested as technology development and technology transformation risks. The risks faced in the diffusion stage are mainly market risks, which are specifically manifested in the risk of mass production and market demand, and managers can improve their industrialization and market development capabilities through the combination and iteration of products and markets based on market trends to control market risks. The triangular theoretical framework model of independent innovation risk control constructed in this paper is deeply in line with the scenario characteristics of strong resource constraints of specialized, SRDI, and promotes the research on innovation risk control from the technical level to the market level, breaking the "separation wall" between technology and the market, which has enlightening significance for the identification and control of independent innovation risks. References | Related Articles | Metrics

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Research on the impact and action mechanism of co-CEOs on the synergy of ambidextrous innovation: A perspective based on the breadth of strategic attention Wang Xianglu, Luo Jinlian, Wang Yuming, Zhang Chao 2025, 46(9): 99-108.  DOI: 10.19571/j.cnki.1000-2995.2025.09.010 Abstract ( 25 )     Both exploitative and explorative innovations are essential for firms to establish competitive advantages. Achieving synergy between these two types of innovation has become a key focus in the academic and business circles. The emerging co-CEO leadership structure offers a new perspective for enhancing the synergy of ambidextrous innovation. Drawing on the attention-based view, this study examined the impact and mechanisms of co-CEO leadership structure on the synergy of ambidextrous innovation. Using a sample of A-share listed companies in China from 2011 to 2022, this study found that: (1) CoCEOs have positive impacts on corporate synergy of ambidextrous innovation; (2) The breadth of strategic attention plays a mediating role in this relationship, as co-CEOs expand the breadth of strategic attention, which in turn enhances corporate synergy of ambidextrous innovation; (3) Environmental dynamism negatively moderates the relationship between co-CEO leadership and the synergy of ambidextrous innovation; and (4) Further analysis revealed that when co-CEOs possess heterogeneous functional backgrounds, power gaps, and maintain higher levels of interpersonal harmony, their positive impact on corporate synergy of ambidextrous innovation is more pronounced. This study will shed light on the underlying mechanisms through which the co-CEO leadership structure enhances the synergy of ambidextrous innovation and thus provide empirical evidence for improving innovation management effectiveness in practice. Related Articles | Metrics

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Research on the influencing factors and paths of the growth of S&T startups Xu Ran, Li Xiaoxuan 2025, 46(9): 109-116.  DOI: 10.19571/j.cnki.1000-2995.2025.09.011 Abstract ( 23 )      S&T startups are the driving force for technological innovation. They also play an important role in achieving innovation-driven and high-quality development. But its high mortality rate and short lifespan cannot be ignored, and its growth mechanism is still a black box. To further explore the influencing factors and paths of the growth of S&T startups, this paper expanded the entrepreneurial process model based on China′s national conditions and the characteristics of S&T startups, and thus proposed an EEOR analysis model with Chinese characteristics for the growth of S&T startups. Meanwhile, the fuzzy set qualitative comparative analysis (fsQCA) method was used to conduct configuration analysis on the case of S&T startups in City A. This study aims to enrich and improve the theoretical system for the growth of S&T startups, provide theoretical support and practical basis for the formulation of support policies for S&T entrepreneurship in China, and provide specific suggestions and methodological guidance for the operation of S&T startups. The research found that: (1) The influencing factors of the growth of S&T startups in China are mainly divided into four dimensions: entrepreneur, environment, organization, and resource. (2) The growth of S&T startups is very complicated, and a single condition has weak explanatory power for enterprise growth. (3) Different influencing factors promote the growth of S&T startups through a combination of linkage, and there are mainly three high growth driving paths: the first path is driven by entrepreneur, resource, and non-governmental environment; the second path is driven by resource and environment; and the third path is driven by organization, resource and governmental environment. (4) Under specific conditions, the ability of entrepreneur can replace each other with governmental environment, enhancing the growth potential of S&T startups. The research conclusion of this paper will provide useful insights for the government to formulate S&T entrepreneurship support policies according to circumstances, and for startups to choose development paths that are suitable for themselves to combine their own conditions and endowments. References | Related Articles | Metrics

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Research on the influence of complementary assets on the synergistic innovation of platform enterprises: An analysis of the mediating roles of network orchestration capabilities Wang Tao, Zhao Xiying, He Kaiping, Wang Xin, Wang Yu 2025, 46(9): 117-125.  DOI: 10.19571/j.cnki.1000-2995.2025.09.012 Abstract ( 25 )      Synergistic innovation is a key way for platform enterprises to create value, and at the same time, the development of platform enterprises is highly dependent on external resources. Existing studies have focused on issues such as platform enterprises′ monopoly by means of market, but have paid little attention to their resource characteristics and the influencing factors of their synergistic innovation. This paper introduced the network orchestration theory, extended the previous research to the platform enterprise, which is the sponsored orchestration provider, identified its orchestration characteristics and orchestration capability dimensions, clarified the relationship between complementary assets and synergistic innovation, and discussed the mediating role of network orchestration capabilities (knowledge mobility, innovation appropriability and network stability). Through the questionnaire survey, the empirical results showed that (1) complementary assets positively affect the synergistic innovation of platform enterprises; (2) complementary assets positively affect knowledge mobility, innovation appropriability and network stability; and (3) knowledge mobility, innovation appropriability and network stability play a partial mediating role in the relationship between complementary assets and synergistic innovation of platform enterprises. The research results will provide a new theoretical perspective for platform enterprise innovation, enrich the research on the influencing factors of platform enterprise innovation, promote the research progress of network orchestration theory, and provide a theoretical basis and practical guidance for platform enterprises to effectively carry out synergistic innovation. References | Related Articles | Metrics

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Changes in China′s policies on the transformation of scientific and technological achievements from the perspective of policy tools Liu Renji, Yang Deqian, Xu Lu 2025, 46(9): 126-135.  DOI: 10.19571/j.cnki.1000-2995.2025.09.013 Abstract ( 53 )      For the effective conversion of scientific and technological (S&T) achievements into practical productivity, the scientific and rational application of policy tools serves as a critical catalyst. Employing a policy tools lens, we constructed a 3D framework to analyze research commercialization policies. Taking 362 national-level policies for transformation of S&T achievements (1978–2022) as the research object, the coding and statistical functions of the text analysis tool Nvivo 14 were used to examine in stages the evolution process of policy objectives and policy environment, the structural characteristics of policy tool use, and the distribution pattern on the innovation value chain. The research found that: (1) The changes in China′s policies for the transformation of S&T achievements have been influenced by the situation, and have generally gone through a period of policy goals gradually shifting from "scattered" to "systematic" patterns. The distribution of goals has shown an evolution of "extremely uneven → relatively uneven → tending towards equilibrium", and the level of policy effectiveness has continued to improve; (2) The use of policy tools presents structural imbalances and differentiation characteristics; and (3) There is a structural mismatch between the use of policy tools and innovation value chain links. The policy implications of this paper are as follows: the next step should focus on improving the effectiveness and stability of policies according to the time and situation; the combination of policy tools should be optimized to alleviate its structural imbalance and differentiation; and the balanced matching between the use of policy tools and innovation value chain links should be promoted. References | Related Articles | Metrics

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Research on the promotion mechanism of universities′ on the transformation of S&T achievements Zhang Huihui 2025, 46(9): 136-144.  DOI: 10.19571/j.cnki.1000-2995.2025.09.014 Abstract ( 44 )      Promoting the transformation of S&T achievements is an important measure to facilitate a virtuous cycle of education, S&T, and talents. Clarifying the promotion mechanism of universities′ technology transfer will help to build a comprehensive system that supports innovation. Using the universities′ patent sales data at provincial-level regions from 2010 to 2020, this paper analyzed the promotion effect and mechanism of the Law on Promoting the S&T Achievements Transformation (Revised Edition) on the S&T achievements transformation of universities by the generalized DID method. The study found that: (1) The implementation of the revised law significantly promotes universities′ S&T achievements transformation. Specifically, the provinces with greater impact from the Law on Promoting the S&T Achievements Transformation (Revised Edition) have higher level of patent sales contracts, which means the greater the improvement in the S&T achievements transformation level. (2) The implementation of the revised law promotes universities′ S&T achievements transformation by stimulating researchers′ enthusiasm for developing scientific and technological achievements with higher transfer value. (3) The implementation of the revised law promotes universities′ S&T achievements transformation by exempting individuals from the responsibility risks associated with technology transfer. This study has revealed the incentive mechanisms for promoting the transformation of S&T achievements from the perspectives of researchers and universities, and it will provide some decision-making references for further reforms of the system and mechanisms related to promoting S&T achievements transformation. References | Related Articles | Metrics

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The knowledge co-evolution mechanism of technical standard alliance with multi-agents in multi-domains Zhou Qing, Tian Meichen, Chen Wenchong, Wu Zhengyi 2025, 46(9): 145-156.  DOI: 10.19571/j.cnki.1000-2995.2025.09.015 Abstract ( 22 )     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.  References | Related Articles | Metrics

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Research on multiple paths for urban common prosperity driven by business environment Zhang Qiansong, Zhang Yingying, Sun Ning, Feng Taiwen 2025, 46(9): 157-166.  DOI: 10.19571/j.cnki.1000-2995.2025.09.016 Abstract ( 23 )      Optimizing the business environment and enhancing the vitality of market entities is a crucial force in achieving common prosperity. However, how to optimize business environment for achieving urban common prosperity is a major practical issue. Given the complexity of business environment, this study combined the resource allocation theory, new economic growth theory, and institutional theory in conjunction with the entropy weight method and fuzzy set qualitative comparative analysis (fsQCA) method to investigate the complex causal relationship between business environment configuration and common prosperity in 268 Chinese cities from a configuration perspective. The findings suggested that: (1) A single condition of business environment does not constitute necessary condition for achieving high common prosperity; (2) Four paths would lead to high common prosperity, namely technological progress-driven market allocation under institutional constraint, technical efficiency-driven market allocation under institutional guarantee, social resource-driven market allocation under institutional guarantee, and innovation-driven market allocation under institutional regulation; (3) High market environment plays a universal role in achieving common prosperity. The conclusions have revealed the complex causal mechanism of multiple conditions in the business environment that collectively influence urban common prosperity. Moreover, this study will deepen the understanding of diverse paths for achieving high common prosperity, and provide theoretical and practical enlightenment for constructing high-level sharing mechanism and a high-quality development pattern in Chinese cities. Related Articles | Metrics

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Customer relationship reconstruction and enterprise innovation investment under tariff competition: A study based on the research on customer relationship reconstruction at home and abroad Yang Xiya, Bai Jun 2025, 46(9): 167-176.  DOI: 10.19571/j.cnki.1000-2995.2025.09.017 Abstract ( 11 )      Under the background of tariff competition, the stability of international customer relationship is facing great challenges, and the reconstruction of customer relationship will affect the innovation power and ability of enterprises. Based on the data of customer relationship reconstruction at home and abroad collected by hand, and taking the Sino-US trade friction as the quasi-natural experiment, this paper selected the A-share listed companies in China from 2015 to 2021 as the research sample, and used the difference-in-differences model to investigate the influence and action mechanism of customer relationship reconstruction at home and abroad on enterprise innovation investment under tariff competition. The findings are as follows: (1) the reconstruction of customer relationship at home and abroad caused by tariff competition promotes the innovation investment of enterprises, which is mainly achieved through information transparency and government subsidies; (2) Based on the heterogeneity analysis at the enterprise level, it was found that among enterprises with low overseas business income, state-owned enterprises and high bargaining power, the reconstruction of domestic and foreign customer relations caused by tariff competition has a more obvious role in promoting innovation investment; moreover, the heterogeneity analysis based on regional and industry level showed that this promotion is more significant in high marketization process, high level of government property protection and non-high-tech industries; (3) The study of economic consequences showed that the reconstruction of customer relationship caused by tariff competition leads to the decline of innovation performance instead of rising. The research will provide an explanation from the international environment and supply chain relationship for understanding innovation activities, and also provide reference for supply chain management of enterprises. References | Related Articles | Metrics

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Construction, internal mechanism and path selection of the IPR foundational system supporting comprehensive innovation Liu Anqi, Song Hefa 2025, 46(9): 177-187.  DOI: 10.19571/j.cnki.1000-2995.2025.09.018 Abstract ( 14 )       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. References | Related Articles | Metrics

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Research on the impact of past performance on knowledge remittances of Chinese-American inventors Zhang Hua, Liu Jia, Cao Chunhui 2025, 46(9): 188-196.  DOI: 10.19571/j.cnki.1000-2995.2025.09.019 Abstract ( 22 )      At the time when the U.S. is suppressing and blocking China′s science and technology, it is of great practical significance to explore the mechanism of knowledge remittance of overseas Chinese inventors. Based on the theory of absorptive capacity and the research on knowledge recombination, this study explored the influence mechanism and boundary of the past performance of Chinese inventors in the United States on their knowledge remittances, and conducted an empirical analysis by utilizing the patent database of Chinese immigrant inventors in the United States from 1990 to 2011. The study found that: (1) Past performance has a positive correlation with knowledge remittances: high-performing overseas Chinese inventors generate more knowledge remittances; (2) Both of the two knowledge transfer channels, namely Chinese collaborators and Chinese professional associations, and the Chinese knowledge employed by Chinese inventors can positively moderate the relationship between past performance and knowledge remittances; (3) Chinese knowledge also moderates the moderating effect of the transfer channel: high-performing Chinese inventors who use more Chinese knowledge have a better transfer of their knowledge remittances by Chinese collaborators, while for high-performing Chinese inventors who use less Chinese knowledge, professional associations contribute more to their knowledge remittances. The findings of this paper will expand the micro-mechanism of knowledge remittances, deepen the understanding of transnational social capital and ethnic knowledge in migration and knowledge recombination studies from the theoretical level and provide policy insights for the overseas recruitment of talents by China′s Overseas Chinese Affairs Departments and domestic high-tech enterprises from the practical level. References | Related Articles | Metrics

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Digital transformation of the cultural industry empowered by the copyright market mechanism: A case study of Longyuan Digital Media Company Mao Hao, Liu Peiyun 2025, 46(9): 197-208.  DOI: 10.19571/j.cnki.1000-2995.2025.09.020 Abstract ( 21 )      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. References | Related Articles | Metrics