Manufacturing Enterprises In China Research Articles

Do supply chain finance and trade digitization matter in mitigating financial instability in supply chains? An information processing theory view

ABSTRACT This research is grounded in the information processing theory and aims to assess the impact of supply chain financial instability and supply chain management capabilities (e.g. supply chain finance and trade digitization) on the performance of a focal firm. In particular, we consider the impact of supply chain financial instability as information processing needs and supply chain finance and trade digitization as information processing capabilities. We discuss how the fit between the information processing capabilities and the information processing needs improves a firm’s performance, which results in competitive advantage. Path analyses were performed using data collected from 199 manufacturing enterprises in China. The results suggest that when supply chain finance and trade digitization are fitted with the needs to mitigate the impact of supply chain financial instability, a focal firm’s performance can be improved through reduced costs, enhanced efficiency, and bolstered market value. These value-adding outcomes would help gain competitive advantage.

Impact of green inclusive leadership on employee green creativity: mediating roles of green passion and green absorptive capacity

PurposeOrganizations encourage green creativity among their employees to reduce environmental pollution and attain sustainable development. Green, inclusive leadership can produce positive outcomes and influence employees' green innovation. However, green inclusive leadership and green creativity are empirically less examined in the sustainability literature. Therefore, this study theorized a conceptual model based on the organizational creativity theory to explore the influence of green inclusive leadership on employees’ green creativity. It also aimed to explore the intermediating effect of green passion and green absorptive capacity on the relationship between green inclusive leadership and green creativity.Design/methodology/approachData were gathered through a self-administered questionnaire-based survey from 540 employees of a manufacturing enterprise in China. The hypotheses were analyzed using the partial least squares structural equation modeling (PLS-SEM) technique.FindingsThe findings reveal that green inclusive leadership positively and significantly influences employees' green creativity. Moreover, the results show that green passion and green absorptive capacity play positive mediating roles in the relationship between green inclusive leadership and green creativity.Practical implicationsThis study offers practical implications for Chinese manufacturing enterprises, where green inclusive leadership is essential to enhance green passion, green absorptive capacity and green creativity among employees.Originality/valueDrawing upon the organizational creativity theory, this research study is novel because it is one of the few empirical research studies to explore green inclusive leadership and green creativity in Chinese manufacturing enterprises. It further establishes the positive mediating role of green passion and green absorptive capacity in the relationship between green inclusive leadership and green creativity.

Digital transformation and technology innovation: evidence from Chinese manufacturing listed enterprises

ABSTRACT The listed A-share manufacturing enterprises in China from 2010 to 2019 serve as the research samples in this study. Moreover, the influence mechanism and effect of digital transformation of enterprises on technology innovation are studied at the micro level. The digital transformation of enterprises can facilitate technology innovation, and this effect continues to be significant after a series of endogenous and robustness tests are performed, as indicated by the results of this study. For mechanism, digital transformation is capable of indirectly affecting technology innovation via three channels, including reducing costs, elevating the efficiency of human capital, and deepening R&D collaboration among enterprises. In-depth analysis suggests that the effect of digital transformation on technology innovation exhibits certain heterogeneity in the development level of regional digital economy and the capital intensity of enterprises. Furthermore, enterprises in areas with higher development level of digital economy and those exhibiting higher capital intensity better enjoy the stimulating effect of digital transformation on technology innovation.

RESEARCH ON THE IMPACT OF DIGITAL CAPABILITY OF ENTERPRISES ON BUSINESS PERFORMANCE FROM THE PERSPECTIVE OF BUSINESS ECOSYSTEM

The study aims to investigate the interplay among digital capability, network capability, and value co-creation, the level of government digital governance, environmental uncertainty, and firm performance. This study summarized the high-tech manufacturing industry's value co-creation model from the perspective of the business ecosystem. It also added to previous research on the link between digital capability and enterprise performance and gave new research ideas for future studies on value co-creation in the business ecosystem. In practice, this study serves as a valuable guide for the development of high-tech manufacturing enterprises in China. It fosters the cultivation and promotion of digital capabilities within these industries, emphasizes the positive relationship between digital capabilities and enterprise performance, and guides high-tech manufacturing enterprises to prioritize value creation among multiple entities. We actively construct a business ecosystem and integrate both internal and external resources to generate value and foster mutually beneficial collaboration among various entities.

How Digitalization and Sustainability Promote Digital Green Innovation for Industry 5.0 through Capability Reconfiguration: Strategically Oriented Insights

As environmental pressures intensify and digital technology advances rapidly, many countries, including China, are looking to more effectively heed social and environmental responsibilities by effectively integrating digital technology with traditional industries. Digital green innovation is gradually becoming a necessary direction for enterprises in various countries as they strive for high-quality development. How enterprises can achieve digital green innovation through the duality of digitalization and sustainability has become a crucial research question. However, existing research rarely addresses the mechanisms that lead to the formation of digital green innovation within enterprises. This study uses a sample of 305 manufacturing enterprises in China. Based on strategic orientation theory, this study introduces the concept of digital sustainability orientation, integrating both digital and sustainability orientations. A model is constructed to examine the impact of digital sustainability orientation on digital green innovation in enterprises, analyzing the mechanism of action through the mediation of capability reconfiguration and the moderation of environmental scanning. The study finds that digital sustainability orientation significantly positively impacts digital green innovation, highlighting the integrated effect of digital and sustainability orientations. The findings indicate that digital sustainability orientation significantly positively impacts digital green innovation, whereas a single strategic orientation does not effectively promote digital green innovation; capability reconfiguration partially mediates the relationship between digital sustainability orientation and digital green innovation in enterprises; and environmental scanning positively moderates the relationship between digital sustainability orientation and capability reconfiguration and further influences the mediating role of capability reconfiguration. This study contributes to the advancement of digital sustainability theory in the field of digital green innovation; moreover, the results of this study offer significant practical insights for enterprises aiming to successfully implement digital green innovation.

How does market competition affect enterprise cooperative innovation? The moderating role of intellectual property protection and government subsidies

Cooperative innovation is an effective strategy for enterprises to obtain innovation resources and reduce innovation costs. However, existing studies have paid less attention to why and when enterprises choose cooperative innovation strategies. Focusing on market competition as a salient feature of the task environment, this study explores the mechanisms through which it affects cooperative innovation. Using a sample of leading manufacturing enterprises in China between 2010 and 2018, we adopt a negative binomial model to test our hypotheses. The results show that market competition has a U-shaped relationship with cooperative innovation breadth and cooperative innovation depth. And the relationship between market competition and cooperative innovation is moderated by the institutional environment factors. Specifically, the main effect is negatively moderated by intellectual property protection. And government subsidies only have significant moderating effects on the relationship between market competition and cooperative innovation breadth, but no significant moderating effects on the relationship between market competition and cooperative innovation depth. Besides, revealing the aforementioned relationship, this study provides theoretical and practical implications on how to strike a balance between innovation resources acquisition from the external partners and the associated risks of cooperation.

Mitigate cross-market competition caused by the risk of uncertainty and improve firm performance through business intelligence

In the face of various risks and uncertainties including political instability, technological advancements, and natural disasters, businesses involved in cross-market activities are encountering a more competitive environment. This study investigates the relationship between competitive intensity, business intelligence, internal process efficiency, and the performance of small and medium-sized manufacturing enterprises in China. By incorporating the Technology-Organization-Environment (TOE) framework and Dynamic Capabilities Theory, a research model is developed to demonstrate that competitive intensity improves firms’ performance through the utilization of business intelligence capabilities and internal process efficiency. Through the use of a structural equation model, data collected from 15 industrial parks in Henan province, China, involving 429 participants, was analyzed. The findings show a positive correlation between competitive intensity and business intelligence sensing capability (both internal and external). The impact of business intelligence sensing capability on the performance of small and medium-sized manufacturing enterprises is shown to be mediated through internal process efficiency. Our study reveals the mediating roles of business intelligence capability and internal process efficiency in improving organizational performance among Chinese small and medium-sized manufacturing enterprises. This research not only fills gaps in business intelligence research from a management perspective but also contributes to the literature on the interactions among competitive intensity, business intelligence, internal processes, and organizational performance. It also sheds light on the relationship between competitive intensity and organizational performance, offering insights for companies involved in cross-market activities. By highlighting the importance of business intelligence capabilities in adapting to environmental influences, this study offers practical guidance for enterprise digital transformation efforts.

How digital transformation enhances corporate innovation performance: The mediating roles of big data capabilities and organizational agility

Digital transformation has emerged as a key driver of high-quality enterprise development and an essential tool in forging an innovation-driven paradigm.Existing studies fail to delve into the specific mechanisms of their impact on firms' innovation performance, and views on their impact are divergent. Some studies suggest that digital transformation can enhance innovation performance, while others point out that it may have negative impacts, and cannot clearly answer how big data capabilities and organisational agility play a role in the digital transformation process. Therefore, based on dynamic capability theory and systems engineering theory, this study adopts the logical framework of "strategy-behaviour-performance" to systematically explore the process of digital transformation that enhances firms' innovation performance through the enhancement of big data capability and organisational agility. By empirically analysing the survey data of 476 manufacturing enterprises in China, the study reveals the chain-mediated effects of big data capability and organisational agility, and confirms the key roles of both in the transformation process. The findings suggest that digital transformation significantly improves firms' innovation performance, and that the dual mediating effects of big data capability and organisational agility are important links in its influencing mechanism. These findings not only provide empirical support for the theoretical model of digital transformation, but also provide practical guidance for enterprises to formulate strategies and optimise resource allocation in the digital era. We suggest that enterprises should strengthen the cultivation of big data capabilities and organisational agility while promoting digital transformation to better adapt to and lead market changes.

Unlocking new opportunities in the industry 4.0 era, exploring the critical impact of digital technology on sustainable performance and the mediating role of GSCM practices

In the context of industry 4.0, digital technology has become one of the core drivers of production and operations for enterprises, promoting the transformation of businesses towards more sustainable development models. Concurrently, green supply chain management (GSCM) practices contribute to the development of sound business strategies for driving sustainable development. This study examines the impact of digital technology on sustainable performance in the context of industry 4.0, from the perspective of practice-based view (PBV) theory and information processing theory (IPT). It also focuses on the mediating role of GSCM practices in the influence of digital technology on sustainable performance. Data was collected from 486 manufacturing enterprises in China for empirical analysis using the PLS-SEM method. The results indicate that: (1) Under the industry 4.0 context, digital technology (IDT) has a significant positive impact on environmental performance (EP), economic performance (ECP), and social performance (SP). (2) IDT has a significant positive effect on green manufacturing (GM), green purchasing (GP), green design (GD), green information systems (GIS), reverse logistics (RL) and investment recovery (IR). (3) GM, GP, GD, GIS, RL, IR have significant positive effects on EP, ECP and SP. (4) Among the six different dimensions of GSCM practices, IDT has a partially mediating effect through CM on EP, a partially mediating effect through GM on ECP and SP, a partially mediating effect through GP on EP and SP, a partially mediating effect through GD on EP, ECP, and SP, a partially mediating effect through GIS on ECP and SP, a partially mediating effect through RL on EP, ECP, and SP. Finally, IDT has a partially mediating effect through IR on EP and SP. It is noteworthy that GP does not have a mediating effect between IDT and ECP, GIS does not have a mediating effect on EP, and IR does not have a mediating effect between IDT and ECP. By conducting in-depth research on the impact of digital technology on the economic, environmental, and social performance of enterprises in the industry 4.0 environment, this study aims to promote the enhancement of sustainable performance for businesses. It also aims to provide specific strategies and practical guidance for enterprises to promote sustainable development in the industry 4.0 era.

How to Leverage Digital Sustainability Orientation to Promote Environmentally Sustainable Practices of Manufacturing Enterprises in China

The promotion of high-quality, environmentally sustainable practices in enterprises in the digital age has become an important topic in business and academic circles. In this study, by employing a perspective combining digital orientation (DO) and sustainability commitment orientation (SCO), the concept of digital sustainability orientation (DSO) is presented, and digital green capability (DGC) is introduced as the mediating variable. Moreover, the driving mechanism model of corporate environmental sustainability practice (ESP) is constructed, and the moderating role of environmental scanning (ES) is taken into consideration. Using two sets of research data from 353 manufacturing enterprises in China, the empirical test results show that DSO has a significant role in improving ESP, and DGC is important in mediating between DSO and ESP. ES acts as a moderating variable between DSO and DGC and further moderates the mediating role of DGC between DSO and EPS; that is, the stronger the ES, the more significant the mediating effect of DGC. The conclusion of this study broadens the application scope of strategic orientation theory in the study of digital sustainability and has theoretical and practical implications for exploring the development of DGC and the dynamic mechanism of ESP.

Research on the mechanism and effect of digitalization on technology innovation: evidence from Chinese manufacturing listed enterprises

ABSTRACT Digitalization provides a new impetus for technological innovation in manufacturing enterprises. However, research on the influence of digitalization on technological innovation is still in an exploratory phase, lacking a systematic theoretical framework and unified conclusions. It is crucial to clarify the mechanisms by which enterprise digitalization impacts technological innovation and to confirm the role of digitalization in promoting technological innovation in the digital era. The listed A-share manufacturing enterprises in China from 2010 to 2019 serve as the research samples in this study. Moreover, the influence mechanism and effect of enterprise digitalization on technology innovation are studied at the micro level. The improvement of enterprise’s digital level can facilitate technology innovation, and this effect continues to be significant after a series of endogenous and robustness tests are performed, as indicated by the results of this study. In the above research, a more comprehensive and in-depth discussion at the micro level has been conducted to gain more insights into the correlation between enterprise digitalization and technology innovation, such that the black box of digitalization affecting technology innovation can be revealed more effectively.

Research on the impact and mechanisms of lean management on the green development of traditional small and micro manufacturing enterprises

AbstractTo achieve the “dual carbon” goals, manufacturing businesses must pursue green development. Compared to larger enterprises, the path towards green development is fraught with difficulties for the numerous traditional small and micro manufacturing enterprises. Lean thinking offers new solutions to the pain points and challenges of green development for these enterprises. However, existing research primarily focuses on large enterprises, with limited studies on traditional small and micro manufacturing enterprises; moreover, the conclusions on lean green development remain contentious and fail to effectively guide these enterprises through their green development bottlenecks. Therefore, this paper constructs a lean green development mechanism model for traditional small and micro manufacturing enterprises based on the grounded theory research method and the “resource‐behavior‐performance” model. It validates the model with empirical data from 333 traditional small manufacturing enterprises in China. The results show that in the actual development process of traditional small and micro enterprises, implementing lean organization and lean production significantly improves environmental performance, but the impact on economic performance is complex. Additionally, the influence of lean strategies on green development performance is not significant, not fully realizing their potential guiding role. Further in‐depth analysis of traditional small and micro manufacturing enterprises with a mature level of lean management reveals that as the level of lean management improves, the guiding effect of lean strategies begins to emerge; both lean organization and production have a significantly positive impact on economic performance. The findings are theoretically and practically significant for overcoming the green development challenges faced by traditional small and micro manufacturing enterprises, help to broaden the research scope of lean green development, and provide decision‐making and theoretical support for promoting the seamless implementation of lean green development in the traditional manufacturing sector.

Research on Financing Efficiency of Intelligent Manufacturing Enterprises in China --Empirical analysis based on DEA-Malmquist modeling

Smart manufacturing is leading the way in the development of manufacturing quality in China. Based on the DEA-Malmquist model, this paper analyses the financing efficiency of 88 listed smart manufacturing enterprises in China from 2017 to 2021.The results of DEA static analysis show that: in terms of industry types, the comprehensive technical efficiency of the light textile industry is the highest, the resource processing industry has serious internal polarisation, and the machinery and electronic manufacturing industries are mainly affected by pure technical efficiency. Malmquist dynamic analysis shows that: the average total factor productivity index of listed enterprises in intelligent manufacturing is 0.9835, of which, the change value of pure technical efficiency leads to the annual average financing efficiency. The value of efficiency change leads to an average annual decline of 1.65% in financing efficiency. Therefore, the financing efficiency of Chinese intelligent manufacturing enterprises can be improved from the dimensions of improving the bond financing support system and constructing advanced manufacturing innovation system.

How Does the Digital Transformation Affect the Carbon Emissions of Manufacturing Enterprises in China? The Perspective of Green Technology Innovation

With the continuous intensification of competition among major countries and the resurgence of anti-globalization trends, countries around the world have strengthened their strategic deployment for digital transformation in the manufacturing industry. Digital development enables enterprises to transform and upgrade, and the digital transformation and green transformation of enterprises have a historic intersection. This study uses the panel data of 1900 A-share listed companies to explain the theoretical mechanism of digital transformation to promote carbon emission reduction from the perspective of green technology progress. In addition, the threshold model is used to analyze the nonlinear relationship. The results show that the digital transformation has significantly reduced the carbon emission level of Chinese manufacturing enterprises, and the conclusion is still true after the instrumental variable estimation and robustness test. Heterogeneity analysis found that the carbon emission reduction in state-owned enterprises is more obvious. Green technology innovation capability shows the technology dividend effect, which is an important way for digital transformation to promote carbon emission reduction. This study expands the research on the sustainable development of China’s manufacturing industry and provides guidance for policy makers and business decision makers.

Action Speaks Louder: The Role of Proactive Behavior between Creative Leadership and Employees' Creativity.

Drawing on social learning theory, this study presents a moderated mediation model to examine the role of proactive behavior and conformity value in the positive relationship between creative leadership and employees' creativity. Two-wave data are collected from 230 employees and their leaders in an automobile manufacturing enterprise in China, in which employees are encouraged to be creative because they need to implement novel designs and proposals to attract consumers. Statistical analysis reveals that proactive behavior partially mediates the influence of creative leadership on employees' creativity. Conformity value moderates not only the relationship between creative leadership and proactive behavior but also the indirect effect of creative leadership on employees' creativity via proactive behavior. The relationship and the mediating mechanism are stronger in the presence of employees' higher conformity value. We discuss the theoretical and practical implications as well as future research directions of the findings.

Exploring the mechanism of digital technology affordance on manufacturing enterprises’ digital competitive advantage

PurposeDigital technology is crucial to improving a firm’s core competitiveness. However, the existing research on the relationship therein shows heterogeneity. Using digital technology can enhance competitive advantage, which is crucial for enterprises and scholars. Thus, based on the digital technology affordance theory, this study explores the relationship between digital technology affordance and digital competitive advantage.Design/methodology/approachSurvey data were collected from 509 large and medium-sized manufacturing enterprises in China, and multiple regression and structural equation modelling were used to test the hypotheses. Specifically, we discuss the mediating role of digital business capability and the moderating role of organisational legitimacy.FindingsEditability, association and visibility positively affect digital competitive advantage, and their coordination is strong. Further, they can help enterprises gain a competitive advantage through the mediating role of digital business capability (digital strategy, digital integration and regulation). However, the influence effect and action path differ per in different dimensions. Organisational legitimacy positively moderates the mediating effect of digital integration and regulation, and there is a moderated mediating effect. However, the moderating effect on the mediating effect of digital strategy is not significant.Originality/valueExisting studies neglect the relationship between the coordination of digital technology functions and digital competitive advantage. This study provides a new theoretical explanation for an in-depth understanding of these issues. These findings promote the development of innovation theory and provide valuable insights for guiding the application of digital technology in enterprises.

The Impact of Digital Transformation on the Performance of Listed Automobile Manufacturing Enterprises in China

The Impact of Digital Transformation on the Performance of Listed Automobile Manufacturing Enterprises in China

A Conceptual Development of Digital Trade Adoption among Manufacturing Companies in China: A Technology Acceptance Model Approach

The proliferation of digital technologies has brought about transformative changes in various sectors, including manufacturing. In the context of China, a prominent manufacturing hub, the adoption of digital trade practices has emerged as a critical determinant of competitiveness and sustainability for manufacturing companies. This paper proposes a conceptual framework for understanding the factors influencing the adoption of digital trade among manufacturing firms in China, employing the Technology Acceptance Model (TAM) as a theoretical lens. Drawing upon extant literature and empirical insights, this conceptual paper identifies key constructs within the TAM framework, such as perceived usefulness, perceived ease of use, attitude toward digital trade, and behavioral intention, and adapts them to the specific context of digital trade adoption in the Chinese manufacturing sector. It explores how factors such as organizational readiness, technological infrastructure, government policies, and cultural factors influence the perceived usefulness and ease of use of digital trade platforms among manufacturing companies in China. Moreover, this paper extends the traditional TAM model by incorporating additional constructs such as trust in technology, perceived risk, and organizational innovativeness, which are deemed essential in understanding the complexities of digital trade adoption in a rapidly evolving technological landscape. It underscores the significance of trust-building mechanisms, risk mitigation strategies, and organizational culture in facilitating the successful implementation of digital trade initiatives within manufacturing enterprises in China. The proposed conceptual framework contributes to both theoretical and practical understandings of digital trade adoption by elucidating the interplay between technological factors, organizational dynamics, and contextual influences within the Chinese manufacturing context. By offering insights into the determinants of digital trade adoption and the mechanisms for enhancing acceptance and utilization of digital trade platforms, this paper aims to inform policymakers, industry practitioners, and scholars engaged in the promotion and facilitation of digital transformation within the manufacturing sector in China and beyond.

A study on the action mechanism of digital transformation on the output quality of technological innovation

The fourth Industrial Revolution is in full swing, the whole world is pondering the same question: Where is the core breakthrough? With the continuous breakthrough and extensive application of cloud computing, big data, artificial intelligence and other next-generation information technologies, One sign has emerged: digital economy is becoming a new driving force for global economic growth. The impact of digital transformation on enterprises is to improve the quality and efficiency、Improve information quality, Or spread out limited resources and reduce productivity, There is no consensus among academics. To fill that gap, this paper aims to sort out the internal mechanism of how digital transformation improves the output quality of the technological innovation of enterprises from a theoretical perspective, and to establish a digital transformation index at the micro level. On this basis, this study empirically examines how digital transformation affects the output quality of technological innovation.we adopts panel data. It uses data collected from 159 manufacturing enterprises in China. By adopting the methods of PLS structural equation and fuzzy set qualitative comparative analysis (fsQCA), it empirically tests the research model and conducts a mediation analysis through regression analysis. The findings indicated that, Digital transformation can help manufacturing enterprises to improve the output quality of their technological innovation; digital infrastructure plays a significant mediating role between digital transformation and the output quality of technological innovation; the investment of manufacturing enterprises in software and hardware digital infrastructure have a positive impact on the output quality of technological innovation. There is a complementary relationship between the two. The paper was conducted in the context of Chinese culture and can be generalized to other Asian countries. We believe that the research conclusions of this study have important practical significance for how manufacturing enterprises can effectively carry out digital transformation and improve the output quality of technological innovation.

Research on technology innovation path of Intelligent Manufacturing enterprises-Based on qualitative comparative analysis of fuzzy sets under TOE framework.

Intelligent manufacturing enterprises play a crucial role in the modern industrial system and are key to high-quality economic development. However, most current research on intelligent manufacturing technology innovation focuses on single variables, lacking a comprehensive analysis from a linkage grouping perspective. This paper constructs an analytical framework for the technology innovation path of intelligent manufacturing enterprises from three dimensions: technology level, organization level, and environment level. Six antecedent variables are selected: R&D investment, digital transformation, human capital structure, profitability, government support, and competitive position. Using the fuzzy sets of qualitative comparative analysis (fsQCA) methodology, the paper examines the technological innovation paths of intelligent manufacturing enterprises in China. The research indicates that no single antecedent variable is necessary for high technological innovation; instead, the innovation path results from the synergistic effect of multiple conditions. The study identifies three paths leading to high technological innovation in intelligent manufacturing:"Government and Human Resource driven types," "Environmental-Organizational linkage types,"and"Organizational Resilience dominant types." This analysis provides reference suggestions for enterprises to adopt suitable development strategies based on their competitive positions.