As a key sector in advancing China’s“carbon neutrality”goal,the machinery manufacturing industry has achieved remarkable development in recent years.Against this backdrop,the scientific and objective evaluation of ...As a key sector in advancing China’s“carbon neutrality”goal,the machinery manufacturing industry has achieved remarkable development in recent years.Against this backdrop,the scientific and objective evaluation of the financial performance of machinery manufacturing enterprises has become a pressing issue in financial research.This topic is not only crucial for optimizing enterprise management and improving operational efficiency but also essential for enhancing overall industry performance and promoting sustainable development.This paper first introduces the concept of financial performance,followed by an analysis of related financial performance evaluation theories.It then focuses on the application of the entropy method in evaluating the financial performance of machinery manufacturing enterprises,detailing its analytical steps.Finally,a financial performance evaluation index system is constructed based on four dimensions:profitability,solvency,operational efficiency,and growth potential.展开更多
With the continuous promotion of the Belt and Road initiative,the sporting goods manufacturing industry,as a key sector of Chinese enterprises’“going global”strategy,is actively expanding the markets of countries a...With the continuous promotion of the Belt and Road initiative,the sporting goods manufacturing industry,as a key sector of Chinese enterprises’“going global”strategy,is actively expanding the markets of countries along the Belt and Road.However,there are significant differences in political,economic,and social environments among countries along the Belt and Road,which bring considerable uncertainties to the transnational investment of enterprises.Based on the investment environment of 70 countries along the Belt and Road,this paper constructs a risk evaluation index system including five dimensions:political and legal,economic and financial,socio-cultural,investment environment,and bilateral relations.The Criteria Importance Through Intercriteria Correlation(CRITIC)method is used to determine weight,Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)method is employed to evaluate the investment risks of each country.Furthermore,cluster analysis is used to classify the countries into low,medium,and high-risk levels.Finally,policy recommendations are proposed based on the characteristics of countries with different risk levels,providing decision-making references for sporting goods manufacturing enterprises in selecting suitable countries for investment,enhancing risk prevention capabilities,and improving investment success rates.展开更多
With the promotion of the“Belt and Road Initiative”,Chinese sporting goods manufacturing enterprises are increasingly active in foreign investment in countries along the route,but due to regional differences,the inv...With the promotion of the“Belt and Road Initiative”,Chinese sporting goods manufacturing enterprises are increasingly active in foreign investment in countries along the route,but due to regional differences,the investment risks they face are becoming increasingly complex.Based on CNKI and Web of Science databases,this paper systematically combines the theoretical framework and research progress of sporting goods manufacturing enterprises’outbound investment and its risk research,and focuses on analyzing the evolution,motivation,characteristics,and risk generation mechanism of enterprises’outbound investment mode.It further discusses the types and causes of investment risks,the evolution and application of risk assessment methods,and deeply analyzes the unique risk characteristics of sports manufacturing enterprises.On this basis,combined with the shortcomings of existing research,a future research direction is put forward,which provides a reference for follow-up theoretical research and practical operation.展开更多
This study empirically examines the impact,mechanisms,and heterogeneity of artificial intelligence(AI)on innovation in manufacturing enterprises,using data from Chinese A-share listed companies(2011-2022).Using fixed-...This study empirically examines the impact,mechanisms,and heterogeneity of artificial intelligence(AI)on innovation in manufacturing enterprises,using data from Chinese A-share listed companies(2011-2022).Using fixed-effects models and mediation analysis,we find that AI significantly drives innovation in manufacturing,a conclusion supported by various robustness checks.The development of AI enables manufacturing enterprises to achieve cost savings and workforce upgrading.Mechanism analysis identifies two key channels through which AI fosters innovation:increasing talent compensation and widening wage disparities.Heterogeneity tests reveal stronger innovation effects in non-state-owned enterprises,firms in the mature and declining stages,industries with lower concentration,and enterprises located in central and eastern China.Further analysis shows that AI’s impact on substantive innovation is non-linear and moderated by technological intensity and economic uncertainty.Based on these findings,we propose policy recommendations,including the steadfast promotion of intelligent transformation,stage-differentiated implementation,enhanced talent cultivation and policy support,and the accelerated realization of AI’s innovation potential.展开更多
The high-quality development of the manufacturing industry is a prerequisite and foundation for achieving high-quality economic development in the new era,and the high-quality development of manufacturing industry has...The high-quality development of the manufacturing industry is a prerequisite and foundation for achieving high-quality economic development in the new era,and the high-quality development of manufacturing industry has to be achieved through that of the manufacturing enterprises.Based on the theory of competitive advantage and a literature review of organizational and technological innovations,this paper defines"high-quality development of manufacturing enterprises"and puts forward a dynamic mechanism analysis framework based on the"motivation–behavior"logic for such development.Based on this analysis,the paper proposes the realization paths for high-quality development of manufacturing enterprises,which are the embedding path of platform development based on technology import,the embedding path of platform development based on independent research and development(R&D),the embedding path of bilateral markets based on independent R&D and the embedding path of bilateral markets based on technology import.展开更多
Measure index system of technical innovation in medium and smallmanufacturing enterprises is established according to principles of exploration, adaptability,standardization, generalization, feasibility, comparability...Measure index system of technical innovation in medium and smallmanufacturing enterprises is established according to principles of exploration, adaptability,standardization, generalization, feasibility, comparability and combination of economic benefit andcontinual development. It includes index of technical innovation capacity, informationaladministration on technical innovation, and investment of technical innovation, economic benefit,green technical level, social contribution and other influential indexes. Approach to measure oftechnical innovation in medium and small manufacturing enterprises is presented based on combinationof grey relation and fuzzy hiberarchy analysis, and conclusions are drawn based on practicalanalysis of 20 medium and small enterprises, which provides the basis for the medium and smallenterprises to select technical innovation policies and the government to constitute relativepolicies.展开更多
This article mainly discusses the impact of digital technology and service-oriented on the performance of manufacturing enterprises.It first elaborates on the background of the trend of service-oriented manufacturing ...This article mainly discusses the impact of digital technology and service-oriented on the performance of manufacturing enterprises.It first elaborates on the background of the trend of service-oriented manufacturing and the significance of its enterprises.Then,based on the impact of digital technology on the performance of manufacturing enterprises,several practical and feasible measures are proposed,mainly focusing on the long-term layout of service-oriented,shortening the low period,enhancing the competitive awareness of state-owned manufacturing enterprises,improving the driving force transformation,achieving simultaneous progress digitally,configuring digital and service-oriented elements,and eliminating the monopoly of digital resources.Followed by lowering the threshold for private enterprise resource acquisition,promoting financial digital development,breaking the financial dilemma of service-oriented manufacturing,continuously improving the performance level of manufacturing enterprises,and promoting the development of manufacturing enterprises.展开更多
With the development of science and technology and information technology, it has become more and more difficult for manufacturing enterprises to improve their core competitiveness by opening up the technological gap....With the development of science and technology and information technology, it has become more and more difficult for manufacturing enterprises to improve their core competitiveness by opening up the technological gap. Improving the management level of enterprises has become the key for enterprises to survive and develop in the competition. The management of an enterprise involves many aspects, among which the most comprehensive and scientific management is financial management, and the core of financial management is to strengthen cost and comprehensive budget management, so budget management is the core of the survival and development of a manufacturing enterprise. Starting from the problems and difficulties existing in the construction of enterprise budget management culture, the establishment of budget management organization structure and the establishment of budget assessment mechanism, this paper puts forward corresponding measures in order to achieve the purpose of improving the budget management of manufacturing enterprises.展开更多
At present, there are still some technical problems in the development of Chinas manufacturing industry, such as incomplete industrial chain, high-end technology "stuck" and so on. At the same time, there ar...At present, there are still some technical problems in the development of Chinas manufacturing industry, such as incomplete industrial chain, high-end technology "stuck" and so on. At the same time, there are also some problems such as low management level, especially weak financial management awareness, weak financial management ability and so on. Promoting high-quality development of manufacturing industry requires innovation-driven, which includes both scientific and technological innovation and management innovation. Filling in the gaps in financial management will help manufacturing enterprises to improve their competitive advantages and achieve high-quality development. In view of this, this paper analyzes the current situation and existing problems of financial management of manufacturing enterprises, and puts forward the corresponding improvement countermeasures, in order to provide help for the healthy development of manufacturing enterprises.展开更多
As one of the important pillars of China’s national economy,the development of the manufacturing industry has attracted much attention.The manufacturing industry has become a key development area due to its high tech...As one of the important pillars of China’s national economy,the development of the manufacturing industry has attracted much attention.The manufacturing industry has become a key development area due to its high technology content,capital-intensive,knowledge-intensive,and many more characteristics.With the rapid development of big data information technology,emerging technologies such as artificial intelligence have brought a lot of convenience to people’s lives,and manufacturing enterprises have also realized the importance of reform and innovation,and have begun to carry out digital transformation.Based on the study of the motivation of digital transformation of manufacturing enterprises,this paper explores the transformation path of manufacturing enterprises to meet the needs of social development,and deeply analyzes the impact of digital transformation of manufacturing enterprises on enterprise performance,with a view to improving the unbalanced industrial structure and lagging technological development at the present stage through digital transformation.展开更多
Drugs are related to the public's life and health. The "Drug Administration Law of the People's Republic of China" implemented on December 1, 2019 officially specifies that the state establishes a ph...Drugs are related to the public's life and health. The "Drug Administration Law of the People's Republic of China" implemented on December 1, 2019 officially specifies that the state establishes a pharmacovigilance system. This paper analyzes and considers the current situation and main problems of developing the pharmacovigilance system from the perspective of pharmaceutical manufacturing enterprises, expounds the significance of constructing the pharmacovigilance system, and discusses the important contents related to the construction of the pharmacovigilance system combining with the practical experience of enterprises.展开更多
For an enterprise, what is important is to have the self-dependent innovation ability so that it can en- hance the core competence unceasingly and acquire sustainable competitive advantages. In this paper, the indi- c...For an enterprise, what is important is to have the self-dependent innovation ability so that it can en- hance the core competence unceasingly and acquire sustainable competitive advantages. In this paper, the indi- cator system of the self-dependent innovation ability of equipment manufacturing enterprises in Shaanxi province is constructed, in which includes 4 one-level indicators and 13 two-level indicators; and conducts empirical re- search by applying the multi-level fuzzy comprehensive evaluation method.展开更多
Logistics network design influences the efficiency and cost of Logistics directly.Some manufacturing enterprises not only have warehouse hubs,but also build component processing workshops which are usually located in ...Logistics network design influences the efficiency and cost of Logistics directly.Some manufacturing enterprises not only have warehouse hubs,but also build component processing workshops which are usually located in those places where the costs of materials and workforce are lower.This paper establishes a logistics network design model for the manufacturing enterprises with component processing workshops based on 0-1 mixture integer programming.The model optimizes the logistics network in an integrated view,by which the selection of the nodes,the manufacturing plan,and transportation plan can be obtained.An example is given to verify its feasibility.The approach is helpful for designing of the logistics network in manufacturing enterprises.展开更多
Based on the database of Chinese industrial industries,a model is constructed to empirically analyze the interaction between knowledge spillovers and R&D in manufacturing industries;the mean productivity values of...Based on the database of Chinese industrial industries,a model is constructed to empirically analyze the interaction between knowledge spillovers and R&D in manufacturing industries;the mean productivity values of county and city regions have a significant positive effect on firms'R&D,which gradually decreases;an interaction term between the number of neighboring firms and the average total factor productivity of industries in different regional scopes is added,and the greater the number of neighboring firms in the neighborhood,the greater the spillover effect on research and development.In order to increase the innovation input of companies,they need to be given the space to folly exchange ideas.展开更多
To address the challenges faced by manufacturing enterprises in digital transformation,this paper analyzes the relationship between digital transformation and enterprise performance.Using panel data from domestic A-sh...To address the challenges faced by manufacturing enterprises in digital transformation,this paper analyzes the relationship between digital transformation and enterprise performance.Using panel data from domestic A-share-listed manufacturing enterprises from 2012 to 2022,two hypotheses were proposed.The analysis and verification revealed that digital transformation in manufacturing enterprises can enhance performance and reduce costs.Based on the impact of digital transformation on manufacturing enterprise performance,optimization suggestions are proposed to guide future digital transformation and performance improvement efforts in these enterprises.展开更多
With the vigorous development of China's market economy, the market operation and management environment and market competition environment in which manufacturing industry and small and medium-sized enterprises ar...With the vigorous development of China's market economy, the market operation and management environment and market competition environment in which manufacturing industry and small and medium-sized enterprises are located have changed greatly. Due to its inherent narrowness and limitations, the traditional financial management methods and models are increasingly unable to effectively adapt to the rapid development and changes in this new environment. Therefore, the concept of production cost management with the development goal of improving the core competitiveness of enterprises has attracted more and more attention from modern machinery manufacturing enterprises.展开更多
The digital reconstruction of value chain plays an important role in achieving the goal of moving up the value chain in participatory manufacturing enterprises(PMEs).This study aims to investigate the configuration pa...The digital reconstruction of value chain plays an important role in achieving the goal of moving up the value chain in participatory manufacturing enterprises(PMEs).This study aims to investigate the configuration path for the realization of the digital reconstruction performance of value chain in PMEs.Taking 122 PMEs embedded in the Haier CosMoPlat ecosystem as research objects,we change the traditional research perspective and use fuzzy-set qualitative comparative analysis to explore how technology resources,information resources,relationship resources,and digital services provided by industrial internet platform empowerment synergistically affect the digital reconstruction performance of enterprise value chain.This study obtains two groups of high(non-high)performance,namely,product-driven and service-driven;and relationship-trapped and information-trapped.The results show that the impact of industrial internet platform empowerment on the digital reconstruction performance of value chain exhibits equifinality across PMEs at different levels and stages of development.展开更多
Digital manufacturing enterprises require high operational agility due to the intricate and dynamically changing nature of their tasks.The implementation of accurate and timely predictions of task bottlenecks is there...Digital manufacturing enterprises require high operational agility due to the intricate and dynamically changing nature of their tasks.The implementation of accurate and timely predictions of task bottlenecks is therefore crucial to enhancing overall efficiency.Due to task complexities and dynamic business environments,bottleneck prediction is a challenging issue.This study introduces a novel approach that constructs a task network from extensive data accumulated within a digital enterprise to identify and depict the complex interrelations among tasks.Based on this method,we develop a Bottleneck Spatio-Temporal Graph Convolutional Network (BTGCN) model based on deep learning methods that considers spatial features of the task network and temporal data of task execution and integrates the strengths of GCN and GRU.We find that GCN effectively learns and represents the complex topology of task networks to capture spatial dependencies,while GRU adapts to the dynamic changes in task data,accurately capturing temporal dependencies.Informed by the theory of constraints,the study applies the proposed BTGCN model to the prediction of task throughput bottlenecks in digital enterprises.Experimental results demonstrate that while the model has certain limitations,it can accurately extract spatio-temporal correlations from system data,offering advantages in bottleneck prediction over other benchmark models.展开更多
Emerging digital technology are bringing convenience to the global economy and transforming business organizations.The structural changes brought about by digitalization are particularly significant for enterprises in...Emerging digital technology are bringing convenience to the global economy and transforming business organizations.The structural changes brought about by digitalization are particularly significant for enterprises in traditional industries.Starting from the perspective of the debate between structure and agency in sociology,this paper first discusses the necessity of digital transformation of traditional manufacturing enterprises under the background of digital economy,and then explains the drivers and potential obstacles of digital transformation from the perspective of the coexistence of structure regulation and agency initiative.Based on this,this paper further studies the practice of enterprise digital transformation,and proposes a three-stage model of organizational adaptation(EEI model),namely,the experimentation period(partial digitalization),the expansion period(platform digitalization)and the integration period(ecosystem digitalization).Each of these three stages has its own independent characteristics,and is also an indispensable link in the process of enterprise digitalization,which determines the continuity and integrity of its transformation.The three-stage evolution model based on the structure and agency perspective has important theoretical and practical significance for enterprise digital development.展开更多
The development of data science provides new opportunities for innovation in Chinese manufacturing enterprises.As the manufacturing sector urgently needstransformation and upgrading,studying how data empowerment drive...The development of data science provides new opportunities for innovation in Chinese manufacturing enterprises.As the manufacturing sector urgently needstransformation and upgrading,studying how data empowerment drives innovation in manufacturing enterprises is of strategic significance.This work reviews domestic and foreign research from five aspects:product innovation,business model innovation,long-term competitiveness of enterprises,innovation ecosystem of enterprises,and industry upgrading.It summarizes the main forms and objects of data empowerment,analyzes the pathssand mechanisms of data empowerment,and creates a systematic research framework to explore the“black box”of data empowerment that drives manufacturing innovation.Such a framework provides theoretical references for the transformation and upgrading of China's manufacturing sector.Finally,future prospects are proposed to address the extant research gaps and to conduct more indepth research on innovation driven by data empowerment in the manufacturing sector.展开更多
文摘As a key sector in advancing China’s“carbon neutrality”goal,the machinery manufacturing industry has achieved remarkable development in recent years.Against this backdrop,the scientific and objective evaluation of the financial performance of machinery manufacturing enterprises has become a pressing issue in financial research.This topic is not only crucial for optimizing enterprise management and improving operational efficiency but also essential for enhancing overall industry performance and promoting sustainable development.This paper first introduces the concept of financial performance,followed by an analysis of related financial performance evaluation theories.It then focuses on the application of the entropy method in evaluating the financial performance of machinery manufacturing enterprises,detailing its analytical steps.Finally,a financial performance evaluation index system is constructed based on four dimensions:profitability,solvency,operational efficiency,and growth potential.
文摘With the continuous promotion of the Belt and Road initiative,the sporting goods manufacturing industry,as a key sector of Chinese enterprises’“going global”strategy,is actively expanding the markets of countries along the Belt and Road.However,there are significant differences in political,economic,and social environments among countries along the Belt and Road,which bring considerable uncertainties to the transnational investment of enterprises.Based on the investment environment of 70 countries along the Belt and Road,this paper constructs a risk evaluation index system including five dimensions:political and legal,economic and financial,socio-cultural,investment environment,and bilateral relations.The Criteria Importance Through Intercriteria Correlation(CRITIC)method is used to determine weight,Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)method is employed to evaluate the investment risks of each country.Furthermore,cluster analysis is used to classify the countries into low,medium,and high-risk levels.Finally,policy recommendations are proposed based on the characteristics of countries with different risk levels,providing decision-making references for sporting goods manufacturing enterprises in selecting suitable countries for investment,enhancing risk prevention capabilities,and improving investment success rates.
文摘With the promotion of the“Belt and Road Initiative”,Chinese sporting goods manufacturing enterprises are increasingly active in foreign investment in countries along the route,but due to regional differences,the investment risks they face are becoming increasingly complex.Based on CNKI and Web of Science databases,this paper systematically combines the theoretical framework and research progress of sporting goods manufacturing enterprises’outbound investment and its risk research,and focuses on analyzing the evolution,motivation,characteristics,and risk generation mechanism of enterprises’outbound investment mode.It further discusses the types and causes of investment risks,the evolution and application of risk assessment methods,and deeply analyzes the unique risk characteristics of sports manufacturing enterprises.On this basis,combined with the shortcomings of existing research,a future research direction is put forward,which provides a reference for follow-up theoretical research and practical operation.
基金funded by grants from the National Social Science Fund of China General Project“Research on Value Creation of New Quality Productive Forces in Manufacturing Driven by Digital Intelligence”(No.24BJY005).
文摘This study empirically examines the impact,mechanisms,and heterogeneity of artificial intelligence(AI)on innovation in manufacturing enterprises,using data from Chinese A-share listed companies(2011-2022).Using fixed-effects models and mediation analysis,we find that AI significantly drives innovation in manufacturing,a conclusion supported by various robustness checks.The development of AI enables manufacturing enterprises to achieve cost savings and workforce upgrading.Mechanism analysis identifies two key channels through which AI fosters innovation:increasing talent compensation and widening wage disparities.Heterogeneity tests reveal stronger innovation effects in non-state-owned enterprises,firms in the mature and declining stages,industries with lower concentration,and enterprises located in central and eastern China.Further analysis shows that AI’s impact on substantive innovation is non-linear and moderated by technological intensity and economic uncertainty.Based on these findings,we propose policy recommendations,including the steadfast promotion of intelligent transformation,stage-differentiated implementation,enhanced talent cultivation and policy support,and the accelerated realization of AI’s innovation potential.
基金This research is part of the periodical research achievement of“Research on Strategies to Improve the Service Environment of Manufacturing Enterprises”,a program funded by the Central University Basic Research Business Expenses Special Fund Project(31920160018)“Research on the Strategies and Paths for Service Transformation of China’s Manufacturing Enterprises”,a program funded by the Special Project for Talent Introduction(Xbmuyjrcs201511).
文摘The high-quality development of the manufacturing industry is a prerequisite and foundation for achieving high-quality economic development in the new era,and the high-quality development of manufacturing industry has to be achieved through that of the manufacturing enterprises.Based on the theory of competitive advantage and a literature review of organizational and technological innovations,this paper defines"high-quality development of manufacturing enterprises"and puts forward a dynamic mechanism analysis framework based on the"motivation–behavior"logic for such development.Based on this analysis,the paper proposes the realization paths for high-quality development of manufacturing enterprises,which are the embedding path of platform development based on technology import,the embedding path of platform development based on independent research and development(R&D),the embedding path of bilateral markets based on independent R&D and the embedding path of bilateral markets based on technology import.
基金This project is supported by National Natural Science Foundation of China(No.70171039, No.70131010)Provincial Science Foundation of Heilongjiang, China (No.G01-09).
文摘Measure index system of technical innovation in medium and smallmanufacturing enterprises is established according to principles of exploration, adaptability,standardization, generalization, feasibility, comparability and combination of economic benefit andcontinual development. It includes index of technical innovation capacity, informationaladministration on technical innovation, and investment of technical innovation, economic benefit,green technical level, social contribution and other influential indexes. Approach to measure oftechnical innovation in medium and small manufacturing enterprises is presented based on combinationof grey relation and fuzzy hiberarchy analysis, and conclusions are drawn based on practicalanalysis of 20 medium and small enterprises, which provides the basis for the medium and smallenterprises to select technical innovation policies and the government to constitute relativepolicies.
文摘This article mainly discusses the impact of digital technology and service-oriented on the performance of manufacturing enterprises.It first elaborates on the background of the trend of service-oriented manufacturing and the significance of its enterprises.Then,based on the impact of digital technology on the performance of manufacturing enterprises,several practical and feasible measures are proposed,mainly focusing on the long-term layout of service-oriented,shortening the low period,enhancing the competitive awareness of state-owned manufacturing enterprises,improving the driving force transformation,achieving simultaneous progress digitally,configuring digital and service-oriented elements,and eliminating the monopoly of digital resources.Followed by lowering the threshold for private enterprise resource acquisition,promoting financial digital development,breaking the financial dilemma of service-oriented manufacturing,continuously improving the performance level of manufacturing enterprises,and promoting the development of manufacturing enterprises.
文摘With the development of science and technology and information technology, it has become more and more difficult for manufacturing enterprises to improve their core competitiveness by opening up the technological gap. Improving the management level of enterprises has become the key for enterprises to survive and develop in the competition. The management of an enterprise involves many aspects, among which the most comprehensive and scientific management is financial management, and the core of financial management is to strengthen cost and comprehensive budget management, so budget management is the core of the survival and development of a manufacturing enterprise. Starting from the problems and difficulties existing in the construction of enterprise budget management culture, the establishment of budget management organization structure and the establishment of budget assessment mechanism, this paper puts forward corresponding measures in order to achieve the purpose of improving the budget management of manufacturing enterprises.
文摘At present, there are still some technical problems in the development of Chinas manufacturing industry, such as incomplete industrial chain, high-end technology "stuck" and so on. At the same time, there are also some problems such as low management level, especially weak financial management awareness, weak financial management ability and so on. Promoting high-quality development of manufacturing industry requires innovation-driven, which includes both scientific and technological innovation and management innovation. Filling in the gaps in financial management will help manufacturing enterprises to improve their competitive advantages and achieve high-quality development. In view of this, this paper analyzes the current situation and existing problems of financial management of manufacturing enterprises, and puts forward the corresponding improvement countermeasures, in order to provide help for the healthy development of manufacturing enterprises.
基金Major Project of Humanities and Social Science Research of Anhui Provincial Department of Education(Project No.SK2020ZD005)Anhui University of Finance and Economics Undergraduate Quality Engineering Network Security and Information Research Project(Project No.ACXXH2022001ZD)。
文摘As one of the important pillars of China’s national economy,the development of the manufacturing industry has attracted much attention.The manufacturing industry has become a key development area due to its high technology content,capital-intensive,knowledge-intensive,and many more characteristics.With the rapid development of big data information technology,emerging technologies such as artificial intelligence have brought a lot of convenience to people’s lives,and manufacturing enterprises have also realized the importance of reform and innovation,and have begun to carry out digital transformation.Based on the study of the motivation of digital transformation of manufacturing enterprises,this paper explores the transformation path of manufacturing enterprises to meet the needs of social development,and deeply analyzes the impact of digital transformation of manufacturing enterprises on enterprise performance,with a view to improving the unbalanced industrial structure and lagging technological development at the present stage through digital transformation.
文摘Drugs are related to the public's life and health. The "Drug Administration Law of the People's Republic of China" implemented on December 1, 2019 officially specifies that the state establishes a pharmacovigilance system. This paper analyzes and considers the current situation and main problems of developing the pharmacovigilance system from the perspective of pharmaceutical manufacturing enterprises, expounds the significance of constructing the pharmacovigilance system, and discusses the important contents related to the construction of the pharmacovigilance system combining with the practical experience of enterprises.
基金supported by Fund for Higher Education Research of Northwestern Polytechnical University under Grant No.2012GJY19
文摘For an enterprise, what is important is to have the self-dependent innovation ability so that it can en- hance the core competence unceasingly and acquire sustainable competitive advantages. In this paper, the indi- cator system of the self-dependent innovation ability of equipment manufacturing enterprises in Shaanxi province is constructed, in which includes 4 one-level indicators and 13 two-level indicators; and conducts empirical re- search by applying the multi-level fuzzy comprehensive evaluation method.
基金Supported by the National High Technology Research and Development Program of China(863 Program)(2007AA04Z105)the Innovation Action Project from Science and Technology Commission of Shanghai Municipality(08170511300)
文摘Logistics network design influences the efficiency and cost of Logistics directly.Some manufacturing enterprises not only have warehouse hubs,but also build component processing workshops which are usually located in those places where the costs of materials and workforce are lower.This paper establishes a logistics network design model for the manufacturing enterprises with component processing workshops based on 0-1 mixture integer programming.The model optimizes the logistics network in an integrated view,by which the selection of the nodes,the manufacturing plan,and transportation plan can be obtained.An example is given to verify its feasibility.The approach is helpful for designing of the logistics network in manufacturing enterprises.
文摘Based on the database of Chinese industrial industries,a model is constructed to empirically analyze the interaction between knowledge spillovers and R&D in manufacturing industries;the mean productivity values of county and city regions have a significant positive effect on firms'R&D,which gradually decreases;an interaction term between the number of neighboring firms and the average total factor productivity of industries in different regional scopes is added,and the greater the number of neighboring firms in the neighborhood,the greater the spillover effect on research and development.In order to increase the innovation input of companies,they need to be given the space to folly exchange ideas.
文摘To address the challenges faced by manufacturing enterprises in digital transformation,this paper analyzes the relationship between digital transformation and enterprise performance.Using panel data from domestic A-share-listed manufacturing enterprises from 2012 to 2022,two hypotheses were proposed.The analysis and verification revealed that digital transformation in manufacturing enterprises can enhance performance and reduce costs.Based on the impact of digital transformation on manufacturing enterprise performance,optimization suggestions are proposed to guide future digital transformation and performance improvement efforts in these enterprises.
文摘With the vigorous development of China's market economy, the market operation and management environment and market competition environment in which manufacturing industry and small and medium-sized enterprises are located have changed greatly. Due to its inherent narrowness and limitations, the traditional financial management methods and models are increasingly unable to effectively adapt to the rapid development and changes in this new environment. Therefore, the concept of production cost management with the development goal of improving the core competitiveness of enterprises has attracted more and more attention from modern machinery manufacturing enterprises.
基金supported by the key project of the National Natural Science Foundation of China(No.72332001)the General Project of the National Natural Science Foundation of China(No.72172031)the National Postdoctoral Program for Innovative Talents(No.GZC20231564).
文摘The digital reconstruction of value chain plays an important role in achieving the goal of moving up the value chain in participatory manufacturing enterprises(PMEs).This study aims to investigate the configuration path for the realization of the digital reconstruction performance of value chain in PMEs.Taking 122 PMEs embedded in the Haier CosMoPlat ecosystem as research objects,we change the traditional research perspective and use fuzzy-set qualitative comparative analysis to explore how technology resources,information resources,relationship resources,and digital services provided by industrial internet platform empowerment synergistically affect the digital reconstruction performance of enterprise value chain.This study obtains two groups of high(non-high)performance,namely,product-driven and service-driven;and relationship-trapped and information-trapped.The results show that the impact of industrial internet platform empowerment on the digital reconstruction performance of value chain exhibits equifinality across PMEs at different levels and stages of development.
基金supported by the National Natural Science Foundation of China(Grant Nos.72432004 and 72372060)。
文摘Digital manufacturing enterprises require high operational agility due to the intricate and dynamically changing nature of their tasks.The implementation of accurate and timely predictions of task bottlenecks is therefore crucial to enhancing overall efficiency.Due to task complexities and dynamic business environments,bottleneck prediction is a challenging issue.This study introduces a novel approach that constructs a task network from extensive data accumulated within a digital enterprise to identify and depict the complex interrelations among tasks.Based on this method,we develop a Bottleneck Spatio-Temporal Graph Convolutional Network (BTGCN) model based on deep learning methods that considers spatial features of the task network and temporal data of task execution and integrates the strengths of GCN and GRU.We find that GCN effectively learns and represents the complex topology of task networks to capture spatial dependencies,while GRU adapts to the dynamic changes in task data,accurately capturing temporal dependencies.Informed by the theory of constraints,the study applies the proposed BTGCN model to the prediction of task throughput bottlenecks in digital enterprises.Experimental results demonstrate that while the model has certain limitations,it can accurately extract spatio-temporal correlations from system data,offering advantages in bottleneck prediction over other benchmark models.
文摘Emerging digital technology are bringing convenience to the global economy and transforming business organizations.The structural changes brought about by digitalization are particularly significant for enterprises in traditional industries.Starting from the perspective of the debate between structure and agency in sociology,this paper first discusses the necessity of digital transformation of traditional manufacturing enterprises under the background of digital economy,and then explains the drivers and potential obstacles of digital transformation from the perspective of the coexistence of structure regulation and agency initiative.Based on this,this paper further studies the practice of enterprise digital transformation,and proposes a three-stage model of organizational adaptation(EEI model),namely,the experimentation period(partial digitalization),the expansion period(platform digitalization)and the integration period(ecosystem digitalization).Each of these three stages has its own independent characteristics,and is also an indispensable link in the process of enterprise digitalization,which determines the continuity and integrity of its transformation.The three-stage evolution model based on the structure and agency perspective has important theoretical and practical significance for enterprise digital development.
基金supported by major project(No.21ZDA033)of the National Social Science Foundation of Chinaproject of the National Natural Science Foundation(No.72071104,71771118)+1 种基金Humanities and Social Sciences Fund Project of the Ministry of Education of China(No.18YJCZH146)key project of the Jiangsu Provincial Social Science Foundation(No.20GLA007).
文摘The development of data science provides new opportunities for innovation in Chinese manufacturing enterprises.As the manufacturing sector urgently needstransformation and upgrading,studying how data empowerment drives innovation in manufacturing enterprises is of strategic significance.This work reviews domestic and foreign research from five aspects:product innovation,business model innovation,long-term competitiveness of enterprises,innovation ecosystem of enterprises,and industry upgrading.It summarizes the main forms and objects of data empowerment,analyzes the pathssand mechanisms of data empowerment,and creates a systematic research framework to explore the“black box”of data empowerment that drives manufacturing innovation.Such a framework provides theoretical references for the transformation and upgrading of China's manufacturing sector.Finally,future prospects are proposed to address the extant research gaps and to conduct more indepth research on innovation driven by data empowerment in the manufacturing sector.
