Research on the Impact of Digital Technology and Servitization on the Performance of Manufacturing Enterprises

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.

Analysis of the Impact of Digital Transformation on Non-Financial Performance of Manufacturing Enterprises

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.

Research on the Impact of Digital Transformation on the Performance of Manufacturing Enterprises

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.

The Dynamic Mechanism and Realization Paths for High-quality Development of Manufacturing Enterprises in the New Era

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.

STUDY ON MEASURE OF TECHNICAL INNOVATION ABILITY IN MEDIUM AND SMALL MANUFACTURING ENTERPRISES

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.

To Evaluate of the Self-dependent Innovation Ability of Equipment Manufacturing Enterprises in Shaanxi Province

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.

Knowledge Spillover and R&D in Manufacturing Enterprises

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.

Data Empowerment and Innovation in Chinese Manufacturing Enterprises:Frontier Analysis and Prospect

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.

Digitalizing Traditional Manufacturing Enterprises:A Three-Stage Evolutionary Model from the Perspective of Structure and Agency

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.

Factors Affecting the Profitability of Cement ManufacturingEnterprises in Tuyen Quang Province

This study focuses on analyzing the factors affecting the production and business efficiency of cement manufacturing enterprises in Tuyen Quang province. Production and business efficiency is measured by profitability ratios including return on assets (ROA), return on equity (ROE) and return on sales (ROS). Using a quantitative research method through estimating a linear regression model based on data of two cement manufacturing companies in the period 2019-2021, the research results show that the factors affecting business efficiency of cement manufacturing enterprises in Tuyen Quang province include size of enterprise, cost ratio, average collection period, inventory turnover, fixed assets turnover and debt ratio.

Logistics Network Design for Manufacturing Enterprises with Component Processing Workshops

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.

Construction of an Open Innovation Network and Its Mechanism Design for Manufacturing Enterprises： A Resource-Based Perspective

Innovation is the engine of development for enterprises, and there is an increasing trend to adopt an open innovation strategy. However, how to manage external resources in an open, collaborative and complementary manner, and in a shared environment that will yield the greatest networking effects, it is a challenging task. Because there is no such a satisfactory model for an open innovation strategy that combine operational mechanisms with the management of external resources. This article tries to fill the gap by adopting a resource-based perspective to construct an overall open innovation （OOI） business model. In this model, external resources are classified as industrial and non-industrial entities, to enable the identification of the interaction methods between manufacturing enterprises and external resources. The management of external resources involved in a Technology Open Innovation （TOI） cycle is given particular attention that includes： 1） the classification of the external resources of a TOI, 2） the general mechanisms extracted to promote qualified resources in and unqualified resources out, and 3） a business model to conceptualize the collaboration between enterprises and external resources. A case study of TOI is also provided to empirically verify its feasibility. This paper contributes to the literature by providing an original operational model and mechanism design for an open innovation strategy that is capable of managing external resources effectively.

Central environmental protection inspection and carbon emission reduction: A tripartite evolutionary game model from the perspective of carbon neutrality

Since the carbon neutrality target was proposed,many countries have been facing severe challenges to carbon emission reduction sustainably.This study is conducted using a tripartite evolutionary game model to explore the impact of the central environmental protection inspection(CEPI)on driving carbon emission reduction,and to study what factors influence the strategic choices of each party and how they interact with each other.The research results suggest that local governments and manufacturing enterprises would choose strategies that are beneficial to carbon reduction when CEPI increases.When the initial willingness of all parties increases 20%,50%—80%,the time spent for the whole system to achieve stability decreases from 100%,60%—30%.The evolutionary result of“thorough inspection,regulation implementation,low-carbon management”is the best strategy for the tripartite evolutionary game.Moreover,the smaller the cost and the larger the benefit,the greater the likelihood of the three-party game stability strategy appears.This study has important guiding significance for other developing countries to promote carbon emission reduction by environmental policy.

Multilevel manufacturing system of virtual enterprise based on manufacturing grid and strategies for member enterprise selection and task assignment

In order to improve efficiency of virtual enterprise, a manufacturing grid and multilevel manufacturing system of virtual enterprise is built up. When selecting member enterprises and task assignment based on the manufacturing grid, key activities are assigned to the suitable critical member enterprises by task decomposition, enterprise node searching and characteristic matching of manufacturing resources according to the characteristic matching strategy. By task merger, some ordinary activities are merged with corresponding key activities and assigned to corresponding critical member enterprises. However, the other ordinary activities are assigned to the related ordinary member enterprises with enterprise node searching and characteristic matching of manufacturing resources. Finally, an example of developing the artificial hip joint in the virtual enterprise is used to demonstrate that efficiency of the virtual enterprise is improved by using the manufacturing grid and the proposed strategies for member enterprise selection and task assignment.

Manufacturing enterprise collaboration network:An empirical research and evolutionary model

With the increasingly fierce market competition,manufacturing enterprises have to continuously improve their competitiveness through their collaboration and labor division with each other,i.e.forming manufacturing enterprise collaborative network(MECN)through their collaboration and labor division is an effective guarantee for obtaining competitive advantages.To explore the topology and evolutionary process of MECN,in this paper we investigate an empirical MECN from the viewpoint of complex network theory,and construct an evolutionary model to reproduce the topological properties found in the empirical network.Firstly,large-size empirical data related to the automotive industry are collected to construct an MECN.Topological analysis indicates that the MECN is not a scale-free network,but a small-world network with disassortativity.Small-world property indicates that the enterprises can respond quickly to the market,but disassortativity shows the risk spreading is fast and the coordinated operation is difficult.Then,an evolutionary model based on fitness preferential attachment and entropy-TOPSIS is proposed to capture the features of MECN.Besides,the evolutionary model is compared with a degree-based model in which only node degree is taken into consideration.The simulation results show the proposed evolutionary model can reproduce a number of critical topological properties of empirical MECN,while the degree-based model does not,which validates the effectiveness of the proposed evolutionary model.

Advanced Industrial Engineering in Next Generation of Manufacturing Systems

The article deals with possible approaches to the development trends in the industrial engineering in manufacturing organizations. The authors emphasize the need for integration of advanced industrial engineering in the next generation of manufacturing systems, which responds to new trends of production, innovation and advanced technology. This integration represents a sustainable development, so that humanization of work are increased, more effective use of natural and energy resources are achieved and production costs are reduced. Trends in the products manufacturing must meet both industrial engineering as well as production management. The development trends in the industrial engineering in manufacturing organizations must use methods and tools of advanced industrial engineering to achieve competitiveness. The second part of this article deals with specification of these approaches in next generation of production systems.

Development of Pull Strategies in Production Management in Order to Increase Efficiency of Manufacturing Enterprise

The article deals with possible approaches to the management of manufacturing organizations. The authors emphasize the need for integration of lean management with eco-innovation. This integration represents a sustainable development so that environmental impacts are reduced, more effective use of natural resources is achieved and production costs are reduced. Manufacturing organizations based on that approach must use so-called pull production control systems. Pull systems are most often presented in production management system--Kanban. This article also deals with specification of these systems and the development of pull strategies in production management in order to increase efficiency of manufacturing enterprise.

Digital Empowerment, Digital Input Source, and Green Transformation of Manufacturing Industry

An important proposition needed in-depth research is how digital technology empowers the green transformation of the manufacturing industry.This paper empirically finds that digital empowerment can boost the green transformation of enterprises,the conclusion of which stands valid under all kinds of robustness tests.Moreover,such boosting is heterogeneous and exists in industries with different energy consumption intensities.In addition,digital empowerment has a positive spillover effect on the green transformation ofupstream and downstream enterprises along industrial chains.From the specific mechanism of action,digital empowerment mainly drives the green transformation of manufacturing enterprises through scale and technology effects.The green transformationis significantly positively affected by digital empowerment.Compared with digital empowerment driven by domestic digital sources,the one built on foreign digital sourceshas a more profound influence on the green transformation of the manufacturing industry,although the green transformation is significantly positively affected bydigital empowerment.The differences above may stem from the gap in the development of digital technology at home and abroad.This judgment has been further confirmed in the heterogeneity analysis on regions with different levels of economic development and factor-intensive manufacturing industries.This means that in the new round of technological competition,China should be alert to the potential impact brought by the development gap of domestic and global digital technologies.This paper helps to expand and deepen the understanding of the factors affecting the green transformation of manufacturing enterprises.It also brings important policy implications to the following aspects:the method of seizing strategic opportunities brought by digital technology,the first-mover advantage built on open integration and innovation,the narrowing of the gap with foreign digital development levels,and the stabilization of digital empowerment basis for the green transformation oftheemanufacturing industry.

Influencing Factors of Organizational Learning Capability : From the Perspective of Knowledge Embeddedness

Organizational learning capability is an important embodiment of the competitive advantage of enterprises in the era of knowledge economy. Based on the embeddedness theory,six factors are discussed that influence organizational learning capability from the perspective of knowledge embeddedness: employees embeddedness, tools embeddedness, tasks embeddedness,interpersonal relationship embeddedness, organizational culture embeddedness and network environment embeddedness. Combined with the survey data of textile and apparel manufacturing industry,the research proves the important function of knowledge embeddedness in the construction of organizational learning capability, and proposes three research countermeasures for industrial upgrading.