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20 November 2024, Volume 45 Issue 11 Previous Issue    Next Issue

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Mysterious coexistence of rapid economic growth and insufficient innovation drive in China: An explanation based on setting of local economic growth targets Pan Shuang 2024, 45(11): 1-13.  DOI: 10.19571/j.cnki.1000-2995.2024.11.001 Abstract ( 304 )   The coexistence of high-speed economic growth and insufficient innovation drive in the process of China′s economic development has always been a key topic for studying the Chinese economy. This paper used the urban panel data from 2003-2018 to explain this phenomenon from the perspective of economic growth target setting through multiple linear regression analysis. The study found that: (1) Economic growth target and topdown amplification significantly inhibit the improvement of regional innovation, while it shows a significant inhibitory effect on substantive innovation and a significant promoting effect on strategic innovation patents from the perspective of innovation classification; (2) Further analysis showed that economic growth target and innovation levels exhibit a U-shaped nonlinear characteristic, and substantive innovation also conforms to this characteristic, while strategic innovation on the contrary exhibits an inverted U-shaped characteristic; (3) The analysis of mechanisms indicated that economic growth targets and top-down amplification mainly suppress the improvement of urban innovation level by increasing the city′s land fiscal dependence and reducing the intensity of environmental regulations; (4) In the expansion analysis, through considering the characteristics of officials, it was found that the effects of economic growth target and top-down amplification are more significant in samples with longer official tenure and during the period of official turnover. The expansion analysis which considers market conditions found that the role of economic growth target and top-down amplification is more significant in regions with low levels of marketization and high levels of market segmentation. This paper has broadened the scope of research on the negative externalities associated with economic growth objectives and the influencing factors of urban innovation. It will aid in better understanding the influence of government growth target and official characteristics on urban innovation, thereby offering empirical evidence and policy insights to boost the driving force of economic innovation. Related Articles | Metrics

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AI-enabled entrepreneurship: A review based on the structural topic model Li Dayuan, Pan Zhuang, Chen Xiaohong 2024, 45(11): 14-25.  DOI: DOI：10.19571/j.cnki.1000-2995.2024.11.002 Abstract ( 19 )   Artificial intelligence has become a crucial force in enabling entrepreneurial development, playing an increasingly important role in the chance of entrepreneurial opportunity discovering and value creating. Although the entrepreneurial field has gradually paid attention to artificial intelligence, the current research on artificial intelligence-enabled entrepreneurship is still fragmented and lacks systematic integration. This paper adopted the unsupervised machine learning methods, combined machine coding with manual coding, and used structure topic models to analyze 122 relevant literatures collected by Web of Science. This study sorted out the current research status from the aspects of the antecedents, scenarios, processes, results, theoretical perspectives, and tools and methods of AI-enabled entrepreneurship. This study found that the research on the driving mechanism of AI-enabled entrepreneurship needs to be further deepened, the research on scenario fields needs to be further enriched, the research on path mechanisms needs to be further explored, the research on dual impacts needs to be further discussed, the underlying logic needs to be further broken through, and the technical instruments need to be further integrated. On this basis, it proposed a future research framework and topics, and revealed that we should deepen the research on the driving force of AI-enabled entrepreneurship at the macro-, meso-, micro- and even cross-level levels, promote the research on the multi-scenario ecology of AIenabled entrepreneurship in regions, industries and fields, strengthen the research on the process path of AI-enabled entrepreneurship from a cross-level and dynamic perspective, pay full attention to the possible positive results of AI-enabled entrepreneurship, especially the negative impact, and further explore the unique theoretical system of AI-enabled entrepreneurship based on new practices, provide solid data, tools and methods to support the research on AI-enabled entrepreneurship. By combing through existing literature and constructing a future research framework, this paper will provide a guideline for enriching and deepening research on artificial intelligence-enabled entrepreneurship. Related Articles | Metrics

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Research on the path and performance of the self-cultivation of emerging industries based on the capability model Gong Huiqun 2024, 45(11): 26-36.  DOI: 10.19571/j.cnki.1000-2995.2024.11.003 Abstract ( 119 )       In order to explore the mechanism of improving the performance of the self-cultivation of emerging industries through self-cultivation paths that are suitable for their own industry conditions, this paper selected the 5G industry and cloud computing industry as research objects, used the structural equation modeling method, and analyzed the universality of the newly constructed self-cultivation model for emerging industries through 591 questionnaires from enterprises in these two fields, as well as the mechanism and path of the relationship between cultivation capability and performance. The research found that basic technology, independent demand, and resources are key elements for formation of the self-cultivation capability in emerging industries, and basic technology has the greatest impact and can directly promote independent technology; the self-cultivation capability can promote independent technology and market leadership, and market leadership has a greater impact on performance improvement; different industries have differences in the focus of cultivating capability, factors and influences that affect cultivation performance, and resource related cultivation paths; and there are different mechanisms for improving the performance of self-cultivation through multiple paths. Therefore, the government should encourage various industries to adopt diversified strategies to enhance their self-cultivation capability, and treat resource factors differently based on the characteristics, development stages, and industrial environments of different industries, flexibly choose the most suitable cultivation methods, and accurately formulate cultivation strategies. These research conclusions will provide theoretical support and practical inspiration for exploring ways to improve the performance of self-cultivation of emerging industries in China. Related Articles | Metrics

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Research on the impact of industrial Internet ecosystem on regional innovation capability Xu Mengzhou, Yang Dapeng, Zhu Yongzhu 2024, 45(11): 37-46.  DOI: 10.19571/j.cnki.1000-2995.2024.11.004 Abstract ( 163 )        The industrial Internet is increasingly active and has become an important carrier for regional innovation, while current research has not paid enough attention. This paper proposed the concept, connotation and inner structure of the industrial Internet ecosystem, and constructed the indicator measurement approach from enterprise participation, industrial application and regional support. Using the provincial data from 2012 to 2021 as research sample, this paper explored the impact and mechanism of industrial Internet ecosystem on regional innovation capability. It was found that the industrial Internet ecosystem can effectively promote the regional innovation capability, among which the impact of industrial-level factors is the most significant. From the spatial perspective, the impact of industrial Internet ecosystem on regional innovation capacity presents significant differences, and presents a decreasing trend of "Eastern-Central-Western-Northeastern regions". From the perspective of transmission mechanisms, the industrial Internet ecosystem helps to enhance human capital level and technology market activity, and thereby enhancing regional innovation capability. The research will provide theoretical references and practical insights for constructing industrial Internet ecosystem and smooth flow of innovative elements to enhance regional innovation capability. References | Related Articles | Metrics

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Research on the impact of network position on regional innovation performance from the perspective of resource values Su Yi, Liang Dezhi, Sun Xiaoming 2024, 45(11): 47-56.  DOI: 10.19571/j.cnki.1000-2995.2024.11.005 Abstract ( 123 )      As an important part of national innovation, improving regional innovation performance is of great significance in enhancing the effectiveness of the national innovation system and supporting new breakthroughs in high-quality economic development. The intricate influence of network position on innovation performance has always been the focus of scholar′s attention, and previous studies have found that network position has a facilitating, inhibiting and nonlinear relationship on innovation performance. To bridge the gap between the theories, an attempt is made to deepen the understanding of the relationship between network position and differentiated knowledge base on regional innovation performance using the knowledge base view. For the network position theory, drawing on the knowledge base view literature that "heterogeneous knowledge is more valuable", we measured the scale of knowledge value in the network from the perspective of heterogeneous knowledge and incorporated the knowledge value into the research framework of network position and regional innovation performance. For the theory of differentiated knowledge base, we constructed indicators of "differentiated knowledge base" based on the network perspective and the view of knowledge bases and established the "relevant" relationship with external knowledge to enrich the research on relevant diversification in differentiated knowledge base.Based on Chinese patent data, the panel negative binomial regression method was used to analyze the non-linear effects and interactions of network position and differentiated knowledge base on regional innovation performance. The study found that: (1) structural hole has a "U-shaped" curve relationship with regional innovation performance, and the interaction effect with differentiated knowledge base is significant; (2) centrality has an "inverted Ushaped" curve relationship with regional innovation performance, and the interaction effect with differentiated knowledge base is not significant; and (3) differentiated knowledge base positively promote regional innovation performance. The significant difference between the interaction effects of network position and differentiated knowledge base on regional innovation performance suggests that the impact of the value of resources acquired through network position on regional innovation performance cannot be ignored.The study has offered several insights. First, when formulating regional innovation policies, the government should consider the network position between regions and its impact on innovation performance. Encouraging interregional firms and academic institutions to strengthen ties and moderately increase regional centrality in the network can enhance innovation. Second, the government should view the differentiated knowledge base as a key driver of innovation. By diversifying the industrial structure and creating open innovation platforms, regions can integrate diverse knowledge and resources, thus boosting innovation. Lastly, a comprehensive innovation performance evaluation mechanism should be established. Monitoring and optimizing the network position and knowledge base can lead to overall regional innovation improvement. Related Articles | Metrics

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The Belt and Road Initiative and the spatial association of urban innovation efficiency Wang Jian 2024, 45(11): 57-66.  DOI: 10.19571/j.cnki.1000-2995.2024.11.006 Abstract ( 89 )      The innovation efficiency and spatial associations of domestic cities play a crucial role in promoting high-quality economic development. The "Belt and Road Initiative" (BRI) has facilitated exchanges and resource integration in the field of innovation among cities, profoundly impacting the spatial associations of innovation efficiency. This paper, set against the backdrop of the BRI, employed a social network analysis to study the innovation efficiency of 284 prefecture-level cities in China, and explored the impact of the BRI on the innovation efficiency and spatial associations of Chinese cities. The paper used the DEA-Malmquist method to measure the innovation efficiency of each city and constructed a network of innovation efficiency among Chinese cities using the gravity model. Through the network indicator analysis, it explored the impact of the BRI on the spatial associations of innovation efficiency and employed the QAP regression to quantitatively analyze the influencing factors of the innovation efficiency network. The study found that: (1) In recent years, the innovation efficiency of Chinese cities has continuously improved, but the gap in innovation efficiency between node cities and non-node cities has widened after the implementation of the BRI; (2) After the implementation of the BRI, the associations of innovation efficiency among cities have significantly strengthened; (3) Factors such as spatial distance, economic development, human capital, openness to the outside world, and government support all have significant impacts on innovation efficiency; and (4) Under the BRI, the spatial associations of the urban innovation efficiency network are mainly reflected in the spillover effects of node cities on surrounding cities. This study will theoretically expand and enrich the research on the spatial associations of innovation efficiency and provide policy recommendations for improving innovation efficiency in practice. Related Articles | Metrics

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Low-carbon development, intellectual property protection and low-carbon technology innovation Li Nanbo, Sun Hongyuan 2024, 45(11): 67-77.  DOI: 10.19571/j.cnki.1000-2995.2024.11.007 Abstract ( 120 )     Lack of policy guidance in low-carbon technology innovation poses dual externalities in terms of technology and environment, which severely inhibits the vitality of enterprises in low-carbon technology innovation. To explore whether the implementation of low-carbon development and intellectual property protection policies effectively alleviates the dual externalities of low-carbon technology innovation, this study examined a sample of high-carbon emission enterprises listed on A-share markets and major cities across China from 2007 to 2021, by using the Difference-in-Differences (DID) and difference-in-differences-in-differences (DDD) methods. The findings are as follows: (1) Both the low-carbon city pilot policy and the intellectual property demonstration city policy effectively alleviate the dual externalities of low-carbon technology innovation at both the city and enterprise levels. This conclusion remains valid after addressing endogeneity and undergoing multiple robustness tests. Further heterogeneity studies revealed that these two policies have a better effect on promoting lowcarbon technology innovation in enterprises located east of the "Hu Line", non-state-owned enterprises, lightly polluting enterprises, and startups. (2) The mechanism tests indicated that low-carbon development and intellectual property protection policies alleviate the dual externalities of low-carbon technology innovation by enhancing enterprises′ environmental attention and innovation attention, respectively. (3) The results of policy interaction tests showed that there is a synergistic effect between the two policies, and the effectiveness of this synergy is greater than the individual effects of each policy. This research will deepen the understanding of enterprise competition theory in the context of low-carbon development, expand the research boundaries of externality issues in low-carbon technology innovation, explore the research ideas and methods for the synergistic effects of multiple policies, and provide theoretical references and empirical evidence for the construction and improvement of relevant policy systems in the future. References | Related Articles | Metrics

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Research on the impact of the inventor-knowledge two-mode network characteristics on the breakthrough innovation of enterprises Wang Haihua, Gong Yanyan, Li Yajie, Li Shujie 2024, 45(11): 78-88.  DOI: 10.19571/j.cnki.1000-2995.2024.11.008 Abstract ( 81 )       The exploration of breakthrough innovation is vital for enterprises to overcome the inertia created by reliance on technological import and imitation. This effort is essential for China to become self-reliant in advanced science and technology sectors. This study, based on the knowledge-based view and utilizing a knowledge recombination perspective, integrated creatively multiple networks from inventor-knowledge bipartite graphs into a singular framework. It explored how the characteristics of these bipartite networks influence breakthrough innovation, with an empirical analysis conducted using negative binomial regression on data from publicly listed semiconductor firms from 2000 to 2021. The results of the negative binomial regression revealed that inventor knowledge diversity positively affects breakthrough innovation while knowledge uniqueness negatively affects it. Enterprises′ knowledge recombination capability plays a partial mediating role between inventor-knowledge two-mode network characteristics and breakthrough innovation. The structural hole efficiency of the inventor network negatively moderates the positive effect of inventor knowledge diversity, but positively moderates the mediating role of knowledge recombination capability. The structural hole efficiency in the knowledge network lessens both the negative impact of knowledge uniqueness on recombination capability and its mediation effect. The findings have revealed multiple network embedding mechanisms for breakthrough innovation, and will provide valuable insights to help enterprises enhance their breakthrough innovation. Related Articles | Metrics

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Research on the impact and action mechanism of enterprises′ digital and green transformation synergy on their sustainable development performance: An analysis of the moderating effect of local low-carbon policies Yu Feifei, Mao Jiayi, Jiang Qing 2024, 45(11): 89-98.  DOI: 10.19571/j.cnki.1000-2995.2024.11.009 Abstract ( 277 )       In the context of "carbon peaking and carbon neutrality", enterprise digital and green transformations are crucial. Not only do they help drive comprehensive green transformation in economic and social sectors, but they are also key for enterprises to achieve sustainable development. This paper first calculated the level of enterprise digital and green transformations by using the entropy method and coupling coordination model. Subsequently, based on the panel data from 1659 A-share listed companies from 2010 to 2021, a two-way fixed effects model was constructed to explore the impact and underlying mechanisms of enterprise digital and green transformations on sustainable development performance, as well as the moderating effect of local low-carbon policies. This study found that: firstly, the concept of enterprise digital and green transformations should be redefined, which is a strategic synergy relationship characterized by mutual complementarity, support, and collaboration. Secondly, enterprise digital and green transformations significantly enhance sustainable development performance. Thirdly, these twin transformations improve sustainable development performance by optimizing resource allocation efficiency. Fourthly, the intensity of local low-carbon policies significantly strengthens the above relationship. This study will provide valuable insights for the sustainable development of enterprises, as well as for the implementation of low-carbon policies by local governments. Related Articles | Metrics

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Research on the impact of environmental regulation on green technology innovation: An analysis of the moderating effect of phased digital transformation Xiao Yanfei, Zhang Baoli, Liao Shuanghong 2024, 45(11): 99-108.  DOI: 10.19571/j.cnki.1000-2995.2024.11.010 Abstract ( 137 )       Environmental regulation is one of the driving forces to promote green technology innovation, and its impact on green technology innovation has both positive and negative effects. Digital transformation can effectively solve the negative effects of environmental regulation. Based on the two-way fixed model and threshold regression model, this paper explored the impact of environmental regulation on green technology innovation and the moderating effect of digital transformation between them. The study found that: in general, the implementation of environmental regulation in China has a significant inhibitory effect on green technology innovation, and digital transformation can positively regulate environmental regulation to promote green technology innovation mainly by reducing the production cost path of enterprises. Further research on phased digital transformation showed that digital integration is the main means to reduce the production cost of enterprises and has nonlinear characteristics in regulating the relationship between the two. Therefore, the government should simultaneously promote environmental regulation and digital transformation, and better play the positive role of digital transformation in environmental regulation to stimulate green technology innovation. At the same time, it should also increase subsidies for corporate environmental regulation compliance costs and digital transformation input costs, so as to offset the increase in corporate production costs and expand the scale of digital integration. Related Articles | Metrics

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Research on the impact and mechanism of manufacturing intelligentization on the key core technology capabilities of the manufacturing industry Lu Jianlin, Jiang Tianying 2024, 45(11): 109-118.  DOI: 10.19571/j.cnki.1000-2995.2024.11.011 Abstract ( 140 )       Against the backdrop that key core technologies are under a stranglehold, whether manufacturing intelligentization can enhance enterprise key core technology capabilities is a question worthy of further research. Based on the data from manufacturing companies listed on the Shanghai and Shenzhen A-shares from 2010 to 2021，this study designed a systematic measure for manufacturing intelligentization and empirically examined the impact and mechanisms of manufacturing intelligentization on enterprise key core technology capabilities using the fixed effect model and mediating effect model. The results indicated that: (1) Manufacturing intelligentization has a significant inverted U-shaped impact on enterprise key core technology capabilities, showing a nonlinear evolution trend where the enterprise key core technology capabilities first increase and then decrease as manufacturing intelligentization shifts from low to high levels. This impact has been amplified after the China-U.S. trade dispute; (2) Capital allocation efficiency and labor skill structure mediate the relationship between manufacturing intelligentization and enterprise key core technology capabilities in an inverted U-shaped manner while the mediating effect of technology flows is not significant; and (3) Compared to non-state-owned and low R&D intensity enterprises, the impact of manufacturing intelligentization on enterprise key core technology capabilities is more pronounced in state-owned and high R&D intensity enterprises. The research conclusion will enrich the literature on the economic consequences of manufacturing intelligentization and the influencing factors of enterprise key core technology capabilities. Additionally, it will provide important theoretical references and empirical evidence for promoting the deep integration of artificial intelligence and manufacturing and for deepening the innovation-driven development strategy. Related Articles | Metrics

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Research on the asymmetric impacts of Internet public opinion attention on enterprises′ dual innovation Jiang Shuyang, Zhuang Yaming, Wang Hu 2024, 45(11): 119-129.  DOI: 10.19571/j.cnki.1000-2995.2024.11.012 Abstract ( 63 )      With the wave of digitalization triggering profound changes in the information media, Internet public opinion attention may bring additional opportunities and pressures on enterprises′ innovation activities. In order to explore the intrinsic relationship, this study constructed a systematic theoretical framework by combining the eyeball effect and the pressure effect, and used a panel regression model to examine the impact of Internet public opinion attention on enterprises′ dual innovation and the boundaries brought by the embeddedness of the executives′ social networks, by using a sample of five high-technology industries in the Ashares of Shanghai and Shenzhen in the period of 2011-2019. The key findings of this study are as follows: firstly, there is an inverted Ushaped relationship between Internet public opinion and enterprises′ explorative innovation, but a sustained positive impact on exploitative innovation. Secondly, executive social networks embedding positively moderates the above relationship. Further research showed that the impact of Internet public opinion attention is more significant in the performance-deficit firms and nonstate firms, and that the Internet public opinion environment is an important external factor constraining the effectiveness of the innovation balance model. The findings of the study will enrich the theories related to dual innovation in the social media era and will provide ideas for enterprises and relevant government departments to dialectically cope with this external shock. References | Related Articles | Metrics

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A study on the influence paths and action mechanisms of complementary firms′ platform ecosystem capabilities on collaborative innovation Yan Kuan, Xia Enjun, Li Dehuang 2024, 45(11): 130-140.  DOI: 10.19571/j.cnki.1000-2995.2024.11.013 Abstract ( 140 )       Platform ecosystems contain massive yet fragmented innovation resources. How entrepreneurial complementary firms integrate and internalize these resources under conditions of scarcity to drive collaborative innovation requires further exploration. Drawing on the theory of dynamic capabilities and ecosystem governance, this paper constructed a mechanism model to investigate how the platform ecosystem capabilities of complementary firms influence collaborative innovation behaviors, with a focus on the mediating role of entrepreneurial culture and the moderating role of resource bricolage. Using a dataset of 310 survey responses from platform-based complementary firms, the study conducted an empirical testing through multiple regression and bootstrap sampling methods. The findings revealed that: (1) The platform ecosystem capabilities of complementary firms effectively drive collaborative innovation by integrating and reconfiguring resources from ecosystem leaders or platform networks; (2) Entrepreneurial culture characterized by continuous change and opportunity-seeking partially mediates this relationship; and (3) Resource bricolage enhances the adaptability of complementary firms under resource constraints and promotes sustained collaborative innovation as a moderating mechanism. This study will provide theoretical foundations and practical insights for resource governance, cultural shaping, and innovation entrepreneurship incentives within platform ecosystems. References | Related Articles | Metrics

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Research on the transformation of digital servitization driven by the consistency of digital orientation between government and enterprises Zhou Dan, Zhang Xinyue, Guo Jingjing, Dai Weiqi 2024, 45(11): 141-150.  DOI: 10.19571/j.cnki.1000-2995.2024.11.014 Abstract ( 60 )       Research on how consistency with the government′s digital orientation promotes enterprises′ dominant logic and capability portfolio, thus facilitating digital servitization has been underexplored. By conducting a longitudinal case study of Wolong Group′s digital servitization from 2007 to 2022, this paper found that manufacturing enterprises′ digital servitization has experienced from the stages of "incubation", "growth" and "fission". With the consistency of the digital orientation between the government and enterprises, manufacturing enterprises′ dominant logic changes from the product-dominant logic to product-digital dual dominant logic, which then changes to the digital-service dual dominant logic. Manufacturing enterprises′ capability portfolios change from technological capabilities-dominant to digital capabilities-dominant and then to service capabilities-dominant. This paper has not only enriched the co-evolution among the government-firm digital orientation consistency, enterprises′ dominant logic and capability portfolios, but also provided managerial implications for manufacturing enterprises to handle the dilemma of digital servitization. Related Articles | Metrics

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Alliance ties within patent pools, competitive learning and patent lawsuits Lai Liubin, Zhang Yunsheng, Peng Chen, Xie Hua 2024, 45(11): 151-159.  DOI: 10.19571/j.cnki.1000-2995.2024.11.015 Abstract ( 58 )      There are phenomena of competitive learning and patent lawsuits among enterprises in the patent pools, which have become important strategic weapons for modern high-tech enterprises to compete. Can alliance ties within patent pools reduce the intensity of patent lawsuits between partners? What role does competitive learning play in it? Based on the panel data of 12,195 member pairs of MPEG LA, negative binomial regression model was used in this paper to analyze the influence mechanism of alliance ties within patent pools on patent lawsuits, while regression coefficient sequential test method and moderation path analysis method were used to test the mediating effect of competitive learning. The study findings showed that tie strength can influence the intensity of patent lawsuits positively, there is an inverted U-shaped relationship between tie duration and the intensity of patent lawsuits, competitive learning is a mediating variable not only between tie strength and intensity of patent lawsuits, but also between tie duration and intensity of patent lawsuits. This paper will provide new experience and evidence to enrich the theory of patent pool and litigation, and it is also beneficial for high-tech enterprises to utilize patent pools, conduct alliance learning, and reduce patent lawsuits from alliance partners. References | Related Articles | Metrics

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Risk identification of autonomous driving technologies based on deep learning and multi-source data Li Munan, Wang Liang, Lai Huapeng 2024, 45(11): 160-175.  DOI: 10.19571/j.cnki.1000-2995.2024.11.016 Abstract ( 94 )    The development of emerging technologies not only brings innovation and market opportunities, but also brings new challenges for science and technology governance. The theory of Collingridge dilemma suggests that the social governance of technology is hindered because when negative externalities of a specific technology emerge, it has become deeply entangled with human society. Therefore, how to identify or foresee the potential risks of emerging technologies in the early or initial stages is of great significance for the formulation and improvement of relevant science and technology policies. Identifying the early risks of emerging technologies is a scientific problem due to the sparse and difficult-to-identify signals. Based on the proposed three dimensions of researcher knowledge, enterprise cognition and individual perception, this paper used academic papers, patents, enterprise annual reports, and social media data to construct a quantitative framework for identifying emerging technology risks. An empirical test was conducted by using the example of autonomous driving technologies. The theoretical and empirical analyses showed that the integrated analysis framework based on deep learning and multi-source data can further mine potential risk signals of emerging technologies, thus providing more diverse decision-making references for science and technology risk governance. Among various deep learning methods, the Siamese-BERT twin network model has better risk signal mining effects for emerging technologies. Regarding autonomous driving technology, the empirical analysis showed that potential risks involving many different fields require attention from relevant policy and supervision departments. This paper has presented a theoretical and quantitative analysis framework based on deep learning for emerging technology risk analysis, which has further enriched the current theoretical and methodological system of emerging technology management from the perspectives of knowledge management and text semantic mining, and it will provide a new perspective and tools for potential risk assessment in the early stages of emerging technology evolution. References | Related Articles | Metrics

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Research on the influence and mechanism of RTA′s intellectual property protection on cross-border technology spillovers Sun Yuhong, Zhang Qi, Li Jinzhe 2024, 45(11): 176-183.  DOI: 10.19571/j.cnki.1000-2995.2024.11.017 Abstract ( 80 )      The effective use of regional trade agreement (RTA) intellectual property rules to increase the flow of innovative technologies is an important way for countries to enhance domestic productivity. Based on the 269 RTAs in the WTO and the World Bank′s In-depth Trade Database from 2000 to 2017, this paper explored the impact of RTA′s intellectual property protection on cross-border technology spillovers and its mechanism on the basis of measuring the coverage and enforcement rate of intellectual property provisions and differentiating TRIPs-plus provisions. The study found that RTA intellectual property protection effectively promotes crossborder technology spillovers, and the results are robust. The heterogeneity analysis showed that the promotion effect is more significant between north and south partner countries; the mechanism analysis showed that the RTA intellectual property protection can expand technology spillovers by promoting innovation and strengthening domestic IP rules; and further analysis showed that the inclusion of IP provisions in RTAs can have a positive impact on technology spillovers between contracting parties and third countries. This paper has not only enriched the research on the dynamic effects of intellectual property protection in regional economic integration, but also expanded a new path for countries to attract the inflow of technological factors, promote domestic innovation and improve intellectual property protection policies. References | Related Articles | Metrics

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Research on the impact of superiors′ rejection of creative ideas on employees′ innovative behavior Zhao Fuqiang, Gao Hongxiang, Chen Yun, Ni Min 2024, 45(11): 184-192.  DOI: 10.19571/j.cnki.1000-2995.2024.11.018 Abstract ( 162 )       With the development of digital economy, the external environment has become increasingly volatile, uncertain, complex and ambiguous. Therefore, innovation has become the key to the survival and development of enterprises. As we all know, employees′ innovation behavior is the premise and foundation of enterprise innovation. In reality, due to resource or rule limitations, superiors′ rejection of creative ideas is very common. However, there is no consensus on how it affects employees′ innovation behavior in existing research. Based on this, according to the feedback intervention and attribution theory, this study explored the psychological capital mediating mechanism of superior′s rejection of creative ideas on employees′ innovative behavior through conceiving a moderated mediation model and adopting questionnaire surveys, structural equation modeling, stepwise regression analysis, Bootstrap, and so on. At the same time, it examined the boundary conditions of employees′ attribution of creative idea rejection by the superiors, which is the attribution to people rather than to things and attribution to things rather than to people. Through an empirical study of 457 valid employee samples collected from multiple time points in different provincial-level regions across China, it was found that, firstly, superior′s rejection of creative ideas is significantly negatively correlated with employees′ innovation behavior. Secondly, psychological capital mediates the impact of superior′s rejection of creative ideas on employees′ innovative behavior. Thirdly, attribution to people rather than to things regulates the negative impact of superior′s rejection of creative ideas on psychological capital. The higher the level of attribution to people rather than to things, the stronger the negative impact of creative rejection on psychological capital. Fourthly, attributing to things rather than to people regulates the negative impact of superior′s rejection of creative ideas on psychological capital. The higher the level of attribution to things rather than to people, the weaker the negative impact of superior′s rejection of creative ideas on psychological capital. Finally, the indirect effect of superior′s rejection of creative ideas on employee innovative behavior through psychological capital is moderated by attribution to people rather than to things and attribution to things rather than to people. The higher the level of attribution to people rather than to things, the stronger the indirect effect. The higher the level of attribution to things rather than to people, the weaker the indirect effect. Therefore, the research has enriched the research on the theory of creative rejection by superiors, opened up the black box of their mechanism on innovative behavior, and expanded the research field of attribution theory, and meanwhile it will provide some theoretical basis and decision-making reference for the organizational management practice in order to stimulate employees′ innovation behavior. Related Articles | Metrics