Chinese Manufacturing Enterprises Research Articles

Construction of HRBP Competency Model for Chinese Intelligent Manufacturing Enterprises in the Era of Digital Economy

Construction of HRBP Competency Model for Chinese Intelligent Manufacturing Enterprises in the Era of Digital Economy

Location of Chinese automobile manufacturing enterprises and influencing factors

Location of Chinese automobile manufacturing enterprises and influencing factors

Analysis on the influence of innovation factors on the digital transformation of Chinese manufacturing enterprises: Empirical evidence from A-share listed companies in manufacturing industry

Analysis on the influence of innovation factors on the digital transformation of Chinese manufacturing enterprises: Empirical evidence from A-share listed companies in manufacturing industry

The Impact of Digital transformation of Supply Chain on Competitive Advantage of Enterprises: A Case Study of Chinese Manufacturing Enterprises

This study takes the digital transformation of the supply chain of manufacturing enterprises as the entry point and focuses on the theme of “the impact of digital transformation of the supply chain of manufacturing enterprises on the competitive advantage of enterprises in an uncertain environment and the path of its effect”, aiming to answer the following questions: First, why do manufacturing enterprises need to Firstly, why do manufacturing enterprises need to transform their supply chains digitally? What is the impact of supply chain digital transformation on the competitive advantage of enterprises? Secondly, what is the role of dynamic supply chain capabilities in the process of digital transformation of supply chains in manufacturing companies? Thirdly, how does environmental uncertainty affect the relationship between supply chain digital transformation, supply chain dynamic capabilities and firms’ competitive advantage? This study draws on and refers to the mature scale of existing research and designs a questionnaire for this study. Reliability and validity test, descriptive statistical analysis, homology deviation analysis and confirmatory factor analysis are used to test the sample quality, and correlation analysis and regression analysis methods are used to verify the main effect, mediating effect and moderating effect of the research hypothesis, and finally the empirical analysis results are obtained and discussed.

Enhancing Supplier Participation in New Product Development through Strategic Procurement: A Study of Chinese Manufacturing Enterprises

This study focuses on the impact of strategic procurement by manufacturing enterprises on supplier involvement in new product development in Guangdong Province, the largest economic province in China. While there is existing research on supplier participation in new product development, less attention has been given to the role of procurement in this process. The study aims to explore the relationships between strategic procurement and supplier capabilities, supplier capabilities and participation in new product development, and enterprise cooperation and supplier participation in new product development. Using a conceptual model based on supply chain and transaction cost theories, the study finds that strategic procurement positively affects supplier investment in new product development through improved supplier capabilities and partnership between enterprises. Additionally, supplier technical and supply capabilities, trust between enterprises, and communication and collaboration positively influence supplier participation in new product development. The study recommends that manufacturing enterprises prioritize the strategic function of procurement, develop existing supplier capabilities, and establish good cooperation with suppliers involved in new product research and development to enhance the impact of strategic procurement on supplier investment in new product development.

The impact of digital transformation of manufacturing on corporate performance — The mediating effect of business model innovation and the moderating effect of innovation capability

Digital technologies have been rapidly changing traditional industries. In the given context, this study reveals the internal influence mechanism of digital transformation on the corporate performance of the manufacturing industry based on the resource-based view theory. We build a theoretical framework incorporating business model innovation and innovation capability as mediator and moderator variables. To evaluate our hypothesis, we conduct an empirical study on 255 Chinese manufacturing enterprises. We classify digital transformation into exploitative and explorative transformations with the ambidexterity theory. The results show that exploitative and explorative digital transformations significantly and positively impact corporate performance, and business model innovation has a significant mediating effect. Innovation capability positively moderates the impact of exploitative and explorative digital transformations on business model innovation and moderates the mediating effect of business model innovation. This paper provides support for promoting the deep integration of the digital economy and the real economy.

Research on the Relationship between Mental Toughness and Job Performance of Front-line Employees in Chinese Manufacturing Enterprises under Covid-19

The relationship between employee psychological resilience and job performance has been one of the key concerns of scholars and entrepreneurs. The outbreak of Covid-19 has affected psychological toughness and job performance within frontline employees. However, existing research has focused on the connection between mental toughness and job performance among healthcare workers and has not been extended to the relationship between psychological capital dimensions and job performance among frontline employees in manufacturing firms at a specific time. In this paper, data will be collected from 219 frontline employees in manufacturing companies using the Mental Toughness Scale and the Job Performance Scale to explore the association between mental toughness and job performance among frontline employees in the Covid-19 epidemic. The findings revealed that mental toughness was significantly and positively related to job performance, with mental toughness explaining 62.3% of job performance. Frontline workers aged 36 and over have higher mental toughness. Improving psychological resilience can improve one's performance and developing appropriate strategies to improve the psychological resilience of frontline employees can help optimize work efficiency and achieve high quality production.

Does Uncertainty of Trade Environment Promote Green Technological Innovation? Empirical Evidence from China

In recent years, the international environment has changed rapidly, and the uncertainty of the trade environment faced by enterprises has dramatically increased. As a major participant in world trade, the uncertainty of the trade environment has significantly impacted the daily business activities and various behaviors of Chinese manufacturing enterprises. Green technology innovation has also become an important tool for enterprises to enhance their sustainable development ability and improve their ability to cope with changes in the external environment. The change in the trade environment will affect the business development of enterprises. To face the change in the trade environment, enterprises often choose to improve their technology level and increase the added value of their products. In the context of sustainable development, green technology innovation has higher technical strength and is more in line with the requirements of international development, which is strong support for enterprises to cope with the change in the trade environment. However, the current literature is scant on the association between trade uncertainty and green innovation. In this context, this study used the data of Chinese manufacturing listed companies from 2011 to 2020 to empirically analyze the relationship between trade environment uncertainty (UTE) and green technology innovation (GTI) using panel data estimation methods and further explore the related heterogeneity and its impact on sustainable development. The results show that: (1) UTE has a significant positive impact on the GTI of enterprises, and the robustness test verifies these findings. Different kinds of UTE have different effects on enterprise GTI. UTE also has a positive impact on the independent GTI of enterprises. (2) Compared with non-state-owned enterprises, the GTI of state-owned enterprises is more vulnerable to the positive impact of UTE. (3) UTE significantly and negatively impacts enterprises’ business activities and further challenges enterprises’ sustainable development. However, the enterprise’s GTI behavior, especially the substantial GTI, helps mitigate the adverse impact of UTE on the company’s sustainable development. Finally, this paper provides targeted suggestions for enterprises to better cope with UTE and improve their sustainable development capabilities.

Green supply chain integration, supply chain agility and green innovation performance: Evidence from Chinese manufacturing enterprises

Despite widespread attention on the significance of green supply chain integration (GSCI), there is still limited research on how GSCI can improve firms’ green innovation performance. From the perspective of the natural resource-based view and dynamic capability theory, based on the theoretical logic of “resource-capability-performance”, this study aims to explore the relationship between GSCI and firms’ green innovation performance and its intrinsic mechanism. In order to test the research model, this study collected survey data from 405 Chinese manufacturing firms and tested them by using hierarchical regression and bootstrap analysis. The results show that all three dimensions of GSCI, namely, green internal integration, green supplier integration, and green customer integration, have positive effects on supply chain agility. In addition, supply chain agility has a significant positive impact on green product and process innovation. This study also finds that supply chain agility plays a partially mediating role between all three dimensions of GSCI and green product and process innovation; that is, GSCI can further promote firms’ green innovation performance by improving supply chain agility. The results of this study not only enrich the theoretical research on the driving factors of firms’ green innovation but also provide policy implications for manufacturing firms and government policy-makers regarding the implementation and promotion of green innovation practices.

Optimization of Work Environment and Community Labor Health Based on Digital Model-Empirical Evidence from Developing Countries.

As far as we know, for large manufacturing enterprises, there is often a community of labor gathered around such enterprises, which is especially used as a place for the enterprise to place the labor force. This paper aimed to update the industry model of Chinese Manufacturing Enterprises (CMEs) to improve workers’ health management. This work first discusses the value, mode, and process of Enterprise Digital Transformation (EDT) and Worker Health and Safety Management (WHSM). Then, it proposes the CMEs-oriented EDT model and WHSM system based on Big Data Technology (BDT) and the Internet of Things (IoT). The proposed model and system are verified through a case study on the Shanghai BYD manufacturing enterprise (short for BYD) using the Fuzzy Comprehensive Evaluation Method (CFEM). The EDT model verification considers the adaptation and performance of enterprises after EDT. The WHSM system considers workers’ oxygen inhalation status to evaluate their heart and cardiovascular health. The results show that EDT improves the enterprise’s revenue and reshuffles the revenue structure. The EDT model has absolute adaptability to BYD. It has greatly improved BYD’s indexes, especially financial performance, market capability, and technical capability.

Exploring the relationship of ESG score and firm value using fsQCA method: Cases of the Chinese manufacturing enterprises.

The basic purpose of a business is to maximize value. With the increased expectations for companies’ social responsibility practices and sustainability, sustainability management has become a must for many companies to maximize value in the current competitive environment. Environmental, social and governance (ESG) are widely used indicators to evaluate corporate social responsibility performance. However, there is a lack of combined view on the three dimensions. This study aims to explore the sources of corporate value from the sustainability perspective. By using fsQCA (fuzzy-set qualitative comparative analysis), we proposes a configurational model consisting of environmental, social, governance, size and profitability to investigate the value-enhancing mechanisms of corporate social responsibility. The study shows that high enterprise value can be achieved through multiple paths, which can be categorized as resource-constrained type, slack resources type and good management type.

An empirical study on the Influence of Supply Chain Concentration on Inventory Management of Chinese Manufacturing Enterprises

The development of manufacturing industry reveals a country's productivity level, and supply chain concentration and inventory management are extremely important for manufacturing enterprises, because it not only contributes to the internal and external circulation of manufacturing enterprises, but also brings certain economic value. Chinese enterprises sell their products all over the world by virtue of excellent supply chain and efficient inventory management. In this paper, we take Chinese listed manufacturing enterprises from 2007 to 2021 as the research object to explore the impact of supply chain concentration on their inventory turnover. The empirical results show that the higher the concentration of the supply chain, the higher the inventory turnover of manufacturing enterprises, that is, the higher the efficiency of inventory management. In addition, customer concentration will also play a positive role in regulating the relationship between the two.

An empirical study on the Influence of Supply Chain Concentration on Inventory Management of Chinese Manufacturing Enterprises

The development of manufacturing industry reveals a country's productivity level, and supply chain concentration and inventory management are extremely important for manufacturing enterprises, because it not only contributes to the internal and external circulation of manufacturing enterprises, but also brings certain economic value. Chinese enterprises sell their products all over the world by virtue of excellent supply chain and efficient inventory management. In this paper, we take Chinese listed manufacturing enterprises from 2007 to 2021 as the research object to explore the impact of supply chain concentration on their inventory turnover. The empirical results show that the higher the concentration of the supply chain, the higher the inventory turnover of manufacturing enterprises, that is, the higher the efficiency of inventory management. In addition, customer concentration will also play a positive role in regulating the relationship between the two.

Research on the Configuration of Value Chain Transition in Chinese Manufacturing Enterprises

Under the wave of global industrial structure upgrading, Chinese manufacturing is developing towards a higher value chain. In this paper, 52 cases are selected and fuzzy-set qualitative comparative analysis (fsQCA) is used to analyze the configurations of Chinese manufacturing value chain transition. It was found that there are three configurations to realize value chain transition in Chinese manufacturing enterprises, and that any single condition in technology, environment, organization and individual dimensions cannot contribute to value chain transition, and configuration matching is needed to effectively promote value chain transition. Compared with previous studies, the entry point of this paper is multiple firm-level data, and it further expands the scope of application of the technology-organization-environment-individual (TOEI) framework, which is innovative to a certain extent. In addition, the findings of this paper help to construct analytical ideas for the value chain transition of Chinese manufacturing enterprises, further explore different paths for the upgrading of the value chain, propose strategies for manufacturing development according to local conditions, and promote the high-quality development of the manufacturing industry.

Can Digital Transformation Promote Innovation Performance in Manufacturing Enterprises? The Mediating Role of R&D Capability

Innovation is a necessary guarantee for the long-term survival of an enterprise, and Research and Development (R&D) is the source of enterprise innovation. In the situation where the government is comprehensively promoting the strategy of manufacturing power and digital China, it is becoming increasingly important for manufacturing enterprises to stimulate enterprise innovation through digital transformation. At the same time, the innovation achievements of enterprises are inseparable from its R&D activities. Therefore, the purpose of this paper is to explore the influence mechanism of digital transformation on process innovation performance and product innovation performance of manufacturing enterprises. In this process, this paper puts exploratory R&D capability and exploitative R&D capability as mediating variables into the above research framework. The results show that digital transformation directly promotes the process innovation performance and product innovation performance of manufacturing enterprises. Moreover, the two types of R&D capabilities play the same mediating role in the process of digital transformation boosting enterprise innovation performance, but their indirect mechanisms are different. The above conclusions remain valid after the robustness test. In addition, the heterogeneity test results show that the promotional effect of digital transformation on the innovation performance of manufacturing enterprises has sectoral differences. Only the digital transformation of the mechanical equipment manufacturing sector has a positive effect on two types of innovation performance. In general, the higher the technology content of an enterprises is, the more obviously the digital transformation affects its innovation performance. The above findings have contributed to revealing the specific role and practical significance of Chinese manufacturing enterprises in improving innovation performance based on digital transformation.

Application of Internet of Things in Smart Factories under the Background of Industry 4.0 and 5G Communication Technology

The key identification element of the smart factory is the interconnection between devices, which solves the production method and development dilemma of the factory under Industry 3.0 and previous models. The new article published by Xinhua News Agency on January 16, 2022, advocates the idea of industry+ Internet, and its main goal is to realize intelligent production. At present, smart factories have become the main development direction of industrial enterprises in the world. 5G technology has been rapidly deployed with the development of mobile communication, and its performance has also been greatly improved compared to previous communication technologies. After China put forward the smart manufacturing 2025 plan, although a large number of enterprises are still lingering in the process of research, learning, and exploration, the idea of Industry 4.0 has taken root in various intelligent manufacturing enterprises, and the development route of Chinese manufacturing enterprises in the future has been ahead of schedule. Direction. Based on the basic theory of Industry 4.0, 5G wireless communication, Internet of Things, and smart factories, this paper firstly distributed questionnaires to 20 enterprises with smart factories by means of network and interview and reanalyzed the collected questionnaires by regression analysis method and then used the questionnaire scale analysis method to analyze the reliability and validity of the questionnaire and combined with the results of the questionnaire analysis to analyze the problems existing in the current smart factory. Finally, based on the background of Industry 4.0 and 5G communication technology, combined with the Internet of Things technology, the development layout of the smart factory is designed; that is, based on the elliptic curve encryption algorithm, the signature mechanism of mutual trust of all electronic devices in the IoT smart factory is set to improve the smart factory.

How Does Green Search Promote Green Innovation? The Mediating Role of Green Control

The importance of a knowledge search for green innovation has been recognized, but our understanding of the influence of green search is still unclear. We used 198 Chinese manufacturing data to sort the influential mechanism of green search on green innovation based on resource-based theory, information processing theory, and transaction cost theory. We also explored the intermediate role of green control (i.e., output and behavior control) between the two dimensions of green search (i.e., search breadth and depth) and green innovation (i.e., exploratory and exploitative innovation). The results show that the diversified green information searched from outside must be controlled through the behavior process and results in improving the quality of existing green products and developing new green products. A continuous and deep search for green knowledge can achieve the results of green innovation by setting goals and monitoring processes. When Chinese manufacturing enterprises are searching for knowledge to produce green products, they must pay attention to the supervision and control of the knowledge integration process and results to ensure the effective utilization and transformation of knowledge.

Digital Transformation and Manufacturing Firm Performance: Evidence from China

Based on the digital transformation practice of Chinese manufacturing enterprises, this paper sorts out the intrinsic mechanism of digital transformation affecting the performance of manufacturing enterprises systematically, based on the perspective of digital investment, and empirically tests the theoretical hypothesis using an unbalanced panel of China’s A-share listed manufacturing companies in Shanghai and Shenzhen from 2007 to 2020. The findings show that digital transformation enhances manufacturing firm performance significantly, and the conclusions still hold after using dynamic panel models, the instrumental variables approach, and a series of robustness tests; further analysis reveals that this effect is more significant in state-owned enterprises and manufacturing enterprises in regions with a higher degree of marketization. The results of the mediating effect model show that low-cost empowerment and innovation empowerment are important channels to improve the performance of manufacturing enterprises. Accordingly, this paper argues that accelerating the deep integration of digital technology and enterprise development is the key to achieving high-quality development and improving enterprise performance in the context of an uncertain business environment.

Exploring the influencing factors of carbon neutralization in Chinese manufacturing enterprises.

One of the key issues facing the government in achieving carbon neutrality is what methods can be used to effectively reduce carbon emissions. Taking manufacturing enterprises as an example, this paper studies the carbon emission reduction effects of green technology innovation subsidy (GIS), carbon tax (CT), and carbon emission trading (CET). Under the background of social welfare and carbon emission reduction efficiency, we get the results of optimal carbon emission reduction measures in different environments. The results are as follows: (1) In the initial and mature stage of green technology innovation, GIS is the best choice to improve the degree of green manufacturing and maximize social welfare. CT and CET are the best choice to obtain the highest SE (carbon emission reduction efficiency). (2) In the transitional stage, CET and CT can promote the maturity of green technology. However, with the maturity of green technology, the promotion of green technology has weakened. CT is the best choice to achieve the highest SE. (3) When the carbon tax or carbon trading price is at a high or low level, raising the tax rate or carbon trading price can increase the income of enterprises. Therefore, the government should take measures according to the objectives of different stages. When the goal is to maximize social benefits, GIS is the best choice in the initial stage and transition stage, and CET or CT is the best choice in the transition stage. In the initial stage and fertilization stage, when the highest SE, CT, or CET is the best choice, while in the transition stage, CT is the best choice.

Research on the relationship between supply chain concentration, inventory management and performance based on regression model-Take Chinese auto manufacturing companies as an example

In order to explore the relationship between supply chain concentration, corporate performance and corporate inventory management level of Chinese auto manufacturing enterprises, this paper uses the results of the Hausman test combined with the effect regression model to analyze the data of 71 Chinese listed auto manufacturing enterprises from 2017 to 2019. The research results show that: (1) Supply chain concentration is positively correlated with enterprise performance; (2) Supply chain concentration is positively correlated with inventory management level; (3) Inventory management level is positively correlated with enterprise performance; (4) The mediating effect of inventory management level is not significant.