China has basically succeeded in its quantitative catch-up with advanced economies and has now entered into a new stage of economic development focused on the greater efficiency of resource allocation. In order to ach...China has basically succeeded in its quantitative catch-up with advanced economies and has now entered into a new stage of economic development focused on the greater efficiency of resource allocation. In order to achieve the objectives of the 13th Five-Year Plan for National Economic and Social Development, efforts must be made to reform the ＂petty-farmer＂ economic mode of production while promoting specialization, modernization, and economies of scale. The restructuring and upgrade of the manufacturing sector should be focused on existing industries and the development of high-end industries while maintaining China＇s comparative advantage in narrowing technology gaps with advanced economies. The goal should be to transform China from a large industrial manufacturer into a competitive one. Technological innovation should be based on demand, supported by projects, carried out by firms through the social division of labor, and work to increase the capacity of la^e enterprises to integrate the results of innovation. Materialized labor consumption and logistical costs must be reduced, and the quality and level of urbanization must be increased. To assist productivity development, urban citizenship should be granted to rural migrant workers. In addition, the urbanization of those who remain in the countryside should be promoted in order for rural populations to enjoy the benefits of industrially robust, technologically modern and ecologically sound civilization.展开更多
The application of artificial intelligence(AI)is of significant importance in driving the innovation and development of enterprises.This paper explores how AI applications affect enterprise innovation performance from...The application of artificial intelligence(AI)is of significant importance in driving the innovation and development of enterprises.This paper explores how AI applications affect enterprise innovation performance from a micro-level perspective.Based on the Resource-Based View(RBV)and Dynamic Resource-Based View(DRBV),the study empirically tests the impact of AI technology application on the innovation performance of manufacturing enterprises using data from A-share listed manufacturing companies between 2015 and 2023.The research results show that:(1)The application of AI significantly enhances the innovation performance of manufacturing enterprises,and this effect remains significant across various robustness tests.This suggests that the application of AI is a key driver for the efficient utilization of production factors,improving corporate competitiveness and economic growth.Manufacturing enterprises should actively adopt AI technologies to enhance their innovation capabilities and facilitate the conversion of innovation outcomes into economic benefits.(2)Innovation and R&D resources play a significant mediating role in the process by which AI applications enhance innovation performance,with the mediating effect of R&D personnel allocation being the strongest,while the mediating effect of R&D funding allocation is relatively weaker.This finding provides new insights into optimizing the allocation of innovation resources,particularly emphasizing the irreplaceable role of human capital in technological innovation.By optimizing human resource allocation,enterprises can further enhance the marginal benefits of AI applications and promote the continuous development of innovation capabilities.This study provides a theoretical foundation and practical insights for empowering manufacturing industry innovation through AI technology.展开更多
In this study,we analyze new ways of conceptualizing improvements in firms'innovation by implementing the"right-factors configuration,"illustrated through an analog of a recipe and its ingredients.Specif...In this study,we analyze new ways of conceptualizing improvements in firms'innovation by implementing the"right-factors configuration,"illustrated through an analog of a recipe and its ingredients.Specifically,we research the multiple combinations of three ingredients(creativity,innovation networks,and resources)required to accomplish the innovation recipe.Using a sample of firms from a Spanish science and technology park,we apply qualitative comparative analysis(QCA)-specifically,fuzzy-set QCA(fsQCA)-to test the importance of each component in technological and non-technological innovation.First,the results suggest a map of combinations of innovative ingredients with eight possible patterns.Second,they show that the only ingredient needed is the combination of a creative climate and creative intensity.Finally,the methods of obtaining technological and non-technological innovations differ.The implications for management and policymakers are discussed,and directions for future research are highlighted.展开更多
文摘China has basically succeeded in its quantitative catch-up with advanced economies and has now entered into a new stage of economic development focused on the greater efficiency of resource allocation. In order to achieve the objectives of the 13th Five-Year Plan for National Economic and Social Development, efforts must be made to reform the ＂petty-farmer＂ economic mode of production while promoting specialization, modernization, and economies of scale. The restructuring and upgrade of the manufacturing sector should be focused on existing industries and the development of high-end industries while maintaining China＇s comparative advantage in narrowing technology gaps with advanced economies. The goal should be to transform China from a large industrial manufacturer into a competitive one. Technological innovation should be based on demand, supported by projects, carried out by firms through the social division of labor, and work to increase the capacity of la^e enterprises to integrate the results of innovation. Materialized labor consumption and logistical costs must be reduced, and the quality and level of urbanization must be increased. To assist productivity development, urban citizenship should be granted to rural migrant workers. In addition, the urbanization of those who remain in the countryside should be promoted in order for rural populations to enjoy the benefits of industrially robust, technologically modern and ecologically sound civilization.
文摘The application of artificial intelligence(AI)is of significant importance in driving the innovation and development of enterprises.This paper explores how AI applications affect enterprise innovation performance from a micro-level perspective.Based on the Resource-Based View(RBV)and Dynamic Resource-Based View(DRBV),the study empirically tests the impact of AI technology application on the innovation performance of manufacturing enterprises using data from A-share listed manufacturing companies between 2015 and 2023.The research results show that:(1)The application of AI significantly enhances the innovation performance of manufacturing enterprises,and this effect remains significant across various robustness tests.This suggests that the application of AI is a key driver for the efficient utilization of production factors,improving corporate competitiveness and economic growth.Manufacturing enterprises should actively adopt AI technologies to enhance their innovation capabilities and facilitate the conversion of innovation outcomes into economic benefits.(2)Innovation and R&D resources play a significant mediating role in the process by which AI applications enhance innovation performance,with the mediating effect of R&D personnel allocation being the strongest,while the mediating effect of R&D funding allocation is relatively weaker.This finding provides new insights into optimizing the allocation of innovation resources,particularly emphasizing the irreplaceable role of human capital in technological innovation.By optimizing human resource allocation,enterprises can further enhance the marginal benefits of AI applications and promote the continuous development of innovation capabilities.This study provides a theoretical foundation and practical insights for empowering manufacturing industry innovation through AI technology.
基金support provided by the PID2021-126516NB-I00 project funded by MCIN/AEI/10.13039/501100011033/FEDER,UE.
文摘In this study,we analyze new ways of conceptualizing improvements in firms'innovation by implementing the"right-factors configuration,"illustrated through an analog of a recipe and its ingredients.Specifically,we research the multiple combinations of three ingredients(creativity,innovation networks,and resources)required to accomplish the innovation recipe.Using a sample of firms from a Spanish science and technology park,we apply qualitative comparative analysis(QCA)-specifically,fuzzy-set QCA(fsQCA)-to test the importance of each component in technological and non-technological innovation.First,the results suggest a map of combinations of innovative ingredients with eight possible patterns.Second,they show that the only ingredient needed is the combination of a creative climate and creative intensity.Finally,the methods of obtaining technological and non-technological innovations differ.The implications for management and policymakers are discussed,and directions for future research are highlighted.
