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This paper aims to analyze the role and advantages of knowledge resources in the carbon emission reduction of the industrial chain, and how it can be used to promote the carbon emission reduction of the industrial chain, so that the industry can better achieve the saving of energy and the reduction of emission.

This paper argues that the traditional resource-plundering industrial chain production method can no longer meet the needs of sustainable development of the green and low-carbon industrial chain, and builds the coupling and coordination of knowledge technology innovation drive and industrial chain carbon emission reduction mechanism, in the four dimensions of industrial chain organization, government support, internet support and staff brainstorming, put forward suggestions for knowledge resources to drive carbon emission reduction in the industrial chain.

This paper holds that the use of knowledge resource advantages can better help industrial chain enterprises to carry out technological innovation, knowledge resource digital platform construction, knowledge resource overflow and transfer, application and management of network information technology, so as to reduce carbon emission in industrial chain.

This paper contributes to the discussion about the high-quality implementation of the revitalization strategy of the industrial chain and also deepens research on the knowledge resource-driven carbon emission reduction of the industrial chain. Further, this paper enriches the role of knowledge resources in the industrial industry, and the theoretical results support the advantages of knowledge resource in the field of chain carbon emission reduction.

Massive increases in international trade and investment extend industries beyond national borders, so states and enterprises have become the two critical players in the boundary of industries. The purpose of this paper is to provide a new conceptual framework to analyze the role of states and enterprises in enhancing the industrial international competitiveness (IIC).

Being a research‐based paper, the topic is approached by theoretical analysis and conceptual development. The paper reviews IIC literature and argues for a rational study ICC in the context of global value chain. Next, the paper puts forward a two‐dimensional governance model and five typical governance systems of the industries of developing countries. Examples of typical governance system are given based the practice of Chinese industries, such as appeal, rare earths, automotive, etc.

This paper constructs an industrial two‐dimensional governance model of the developing countries in the context of global value chain based on the interaction between industry governance and market governance, and also presents five typical governance systems – free to market, public governance, industrial governance, joint governance and network governance. Different governance system reflects different roles of states and enterprises played in the global value chains and result in different IIC in the end.

The limitation is based primarily on methodology. The two‐dimensional governance model provides target‐oriented guidance for foresting international competitiveness of different types of industries. Future studies should include more in‐depth case studies on different governance system.

The paper presents a framework of the industrial two‐dimensional governance model, which emphasizes the important role of both states and enterprise in the IIC in the context of global value chain.

The industrial chain network is a complex system consisted by many members of the enterprise, and the complex relationship and the interaction with the external environment among the node enterprises and the existence of various uncertainty all increase the risk of the industry chain. The risk of some individual node enterprises will not only affect the normal operation but also spread the risk to other enterprises by network relationship because of their own mismanagement or deterioration of the external environment. The purpose of this paper is to make an attempt to establish the risk spread model of the industrial chain based on complex networks.

By improving Lobos disaster diffuse model, the paper introduces two indexes: the risk spread range and the risk propagation velocity to measure of industrial chain risk communication effects, and design algorithm for industrial chain complex network structure. The risk spread range can be used to measure the coverage of the risk communication influence produced by the propagation enterprises in the industry chain and to analyse the risk spread breadth on the industrial chain network .The speed index of risk communication represents the total numbers of infection enterprises in unit simulation time.

This paper proposes the universal industrial chain risk propagation model.

Through proposed algorithm constructs industrial chain network, and enterprise class divide, the importance of the product chain enterprises in the industry chain is strengthened.

The purpose of this paper is to highlight the characteristic role of specialized markets and traders in the internationalization of emerging economies by examining the linkages between supply chain management (SCM) and industrial clustering in China.

Multi-method approach was employed as primary data were collected from a case study of Shaoxing textile cluster, and was supplemented with secondary data to triangulate the findings. The proposition that competitive advantages of industrial clusters facilitate effective SCM was explored.

The authors reveal that China’s cost advantage is manifested in the entire value chain. The provision of business friendly amenities as a result of synergetic benefits of vertical and horizontal integration of supply clusters promotes competitiveness of SMEs and region as a whole. Moreover, specialized markets and international traders found to play significant role in sustainable cluster development.

As with fieldwork and case studies, generalization should be drawn with care. Systematic synthesis of relevant case studies is recommended.

The study endorses the construction of local supply chains and suggests implementation of cluster strategy by focusing on environment-specific execution of triple helix model.

The article elaborates the linkages between cluster theory and SCM both within cluster and between interspersed clusters. It also explains how specialized markets and global players are enabling concentrated supply networks. The paper recommends extension of “Triple helix + 1 model” by making local community part of the underlying framework.

This study aims to explore the dependence structure among Chinese firms across the emerging 5G industry at different stages and to provide some strategic insights for market participants.

This study adopt macroeconomic fundamentals and the log-returns of 45 listed firms in the Chinese 5G industry to construct the weighted adjacency matrix by measuring the correlation parameters and then use the triangulated maximally filtered graph (TMFG) algorithm to construct the dependence network. It analyses the topological structure of the constructed networks to obtain the dependence characteristics for each firm in the whole industrial supply chain at different levels.

The empirical results provide a comprehensive and concise snapshot of the industrial structure, across the whole 5G industry at different levels, rather than just a “one-to-one” pattern. Specifically, the dependence characteristics of different firms are heterogeneous, and most firms are highly connected with partners in the whole industrial supply chain, whereas a few firms that are weakly connected. Those closely connected firms are usually in the midstream. In addition, compared with firms at different levels, downstream firms usually have closer dependencies and stronger influence capabilities.

Regulators not only should promote stability development for those firms most intensely connected with whole industry chain but also protect those firms with weak link in the whole industry chain. Investors should better understand the embedded ties among different firms to obtain effective market information and can select multiple firms with fewer connections as backup to conduct joint investment for risk mitigation. Mangers should give priority to the central players/firms in the whole industrial supply chain and establish the alliances with closely connected firms.

This study contributes to both the information system and operation management literature by constructing a new network method, Copula-TMFG, to capture the dependence structure among Chinese firms in 5G industry, empirically providing some strategic insights for 5G industry stakeholders, such as regulators, investors and managers.

The main problem addressed by this research is the current debate between the negative and positive effects of industrial clusters. This debate is a result of gaps between theoretical implications and empirical evidence in both the classical agglomeration theory and the agglomeration lifecycle theory. The purpose of this study is to propose a framework for developing an index measuring both organizational cluster involvement and organizational supply chain including the three pillars (economic, social, and environmental). Furthermore, the index acts as a quantitative predictor of the stages of the life cycle of industrial clusters. Adopting a case study methodology, the applicability of the index development framework is demonstrated. First, cross-sectional exploratory interviews are performed to locate items measuring the three pillars of organizational sustainability within Egyptian communication industry. Second, an explanatory, cross-sectional approach is applied gathering data from eight professionals related to involvement and supply chain sustainability of their organizations. Analytical hierarchical process is used for weighting and aggregating individual item metrics into two indicators (Saaty, 1980). Measuring, managing, and controlling capabilities of organization's supply chains outweighs the need to manage risks. The proposed framework aids firms within a cluster in making timely decisions about what needs addressing to improve supply chain sustainability performance. Hence, all environmental, social, and economic capabilities can be effectively monitored and controlled.

This study provides a comprehensive framework of adaptation in triadic business relationship settings in the service sector. The framework is based on the industrial network approach (see, e.g., Axelsson & Easton, 1992; Håkansson & Snehota, 1995a). The study describes how adaptations initiate, how they progress, and what the outcomes of these adaptations are. Furthermore, the framework takes into account how adaptations spread in triadic relationship settings. The empirical context is corporate travel management, which is a chain of activities where an industrial enterprise, and its preferred travel agency and service supplier partners combine their resources. The scientific philosophy, on which the knowledge creation is based, is realist ontology. Epistemologically, the study relies on constructionist processes and interpretation. Case studies with in-depth interviews are the main source of data.

The manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial network topology, which is an important reason for the synergistic effect. This paper describes the topology of industrial systems using complex network theory; further, it discusses how to identify the criticality and importance of industrial nodes, and whether node characteristics cause synergistic effects.

Based on the input-output data of China in 2007, 2012 and 2017, this paper constructs the industrial complex network of 30 Chinese provinces and cities, and measures the regional network characteristics of the manufacturing industry. The fixed-effect panel regression model is adopted to test the influence of agglomeration degree and centrality on synergies, and its adjustment mechanism is explored.

The degree of network agglomeration in the manufacturing industry exerts a negative impact on the synergistic effect, while the centrality of the network exerts a significant promoting effect on the synergistic effect. The results of adjustment mechanism test show that enhancing the autonomous controllable ability of the regional industrial chain in the manufacturing industry can effectively reduce the effect of network characteristics on the synergistic effect.

Based on input-output technology, this paper constructs a complex industrial network model, however, only basic flow data are used. Considerable in-depth and detailed research on the economic and technological connections within the industry should be conducted in the future. The selection of the evaluation index of the importance of industrial nodes also needs to be further considered. For historical reasons, it is also difficult to obtain and process data when carrying out quantitative analysis; therefore, it is necessary to make further attempts from the data source and the expression form of evaluation indicators.

In a practical sense this has certain reference value for the formulation of manufacturing industrial policies the optimization of regional industrial layout and the improvement of the industrial development level. It is necessary to formulate targeted and specialized industrial development strategies according to the characteristics of the manufacturing industry appropriately regulate the autonomous controllable ability of the industrial chain and avoid to limit the development of industries which is in turn limited by regional resources. Industry competition and market congestion need to be reduced industry exchanges outside the region encouraged the industrial layout optimized and the construction of a modern industrial system accelerated.

The above research results hold certain reference importance for policy formulation related to the manufacturing industry, regional industrial layout optimization and industrial development level improvement. Targeted specialized industrial development strategies need to be formulated according to the characteristics of the manufacturing industry; the autonomous controllability of the industrial chain needs to be appropriately regulated; limitation of regional resources needs to be avoided as this restricts industrial development; and industry competition and market congestion need to be reduced. Agglomeration of production factors and optimization of resource allocation is an important part of a beneficial regional economic development strategy, and it is also an inevitable choice for industrialization to develop to a certain stage under the condition of a market economy. In alignment with the research conclusions, effective suggestions can be put forward for the current major industrial policies. In the process of promoting the development of the manufacturing industry, it is necessary for regional governments to carry out unified planning and guidance on the spatial layout of each manufacturing subsector. Regional governments need to effectively allocate inter-industry resources, better share economies of scale, constantly enhance the competitive advantages and competitiveness of development zones and new districts and promote the coordinated agglomeration and development of related industries with input industries. Industrial exchanges outside the region should be encouraged, the industrial layout should be optimized and the construction of a modern industrial system should be accelerated.

Complex network theory is introduced to study the industrial synergy effect. A complex industrial network of China's 30 regions is built and key network nodes are measured. Based on the dimensionality of the “industrial node – industrial chain – industrial complex network”, the research path of industrial complex networks is improved.

The purpose of this paper is to reveal the inner mechanisms of the role of industrial internet platforms in empowering the digital transformation of SMEs. This ROOTCLOUD-based case study shows that knowledge integration and knowledge sharing and driving play essential empowering roles in the impact of industrial internet platforms on the digital transformation of SMEs. The industrial internet platform promotes knowledge integration on the supply side, empowers cross-domain knowledge sharing and shapes the knowledge-driven digital supply chain system in the digital transformation processes of SMEs.

This paper presents a qualitative analysis of the knowledge empowerment role played by industrial internet platforms in the digital transformation process of SMEs. Based on theoretical sampling, this paper selects ROOTCLOUD as a typical case to analyse the implementation mechanism of the industrial internet platform in solving the digital transformation problems and challenges faced by SMEs.

Knowledge management (knowledge integration, sharing and driving) plays an important intermediary role between the empowerment of industrial internet platform and the digital transformation of SMEs. Specifically, the industrial internet platform empowers SMEs with knowledge, empowers supply-side knowledge integration, empowers cross-domain knowledge sharing and facilitates the formation of knowledge-driven supply chain systems.

This study clarifies the mechanism underlying the digital transformation of SMEs empowered by industrial internet platforms, that is, the empowerment of industrial internet platform enhances the level of knowledge integration and sharing of SMEs, thus improving the effectiveness of SMEs in achieving digital transformation. Further empirical studies should be conducted on the above mechanism.

Based on the theoretical perspective of knowledge management, this paper discusses the problems and challenges faced in the digital transformation of SMEs through knowledge empowerment by the industrial internet platform ROOTCLOUD and proposes that knowledge empowerment in the industrial internet platform helps supply-side knowledge integration, promotes cross-domain knowledge sharing and contributes to forming a knowledge-driven supply chain system, thereby promoting the digital transformation of SMEs. System architects and relevant policy departments should pay attention to data-centred system construction, improve the construction of data-based collaborative application ecology and encourage industrial internet platforms to provide more targeted knowledge empowerment solutions for SMEs.

Stakeholders of construction projects exhibit different perceptions regarding the visibility of materials in the supply chain, which affects the timely delivery and installation of materials. This study aims to quantitatively investigate the differences in viewpoints of owners, contractors, designers and suppliers about the visibility of materials at supply chain locations and different material types during the construction of industrial projects.

Survey data about visibility at nine typical supply chain locations and three common material types were collected from owner, contractor, designer and supplier groups and analyzed using frequency statistics, relative importance index and tests for equality of odds.

Offsite Tier-2 supplier, ports and kitting site shows the lowest visibility level for the owner, contractor, supplier and designer groups. Also, the supplier group tends to have adequate to extreme visibility at the Tier-2 supplier, kitting site and during transportation compared to owner, contractor and designer groups. An example finding concerning the visibility of material types is that owners and contractors perceive prefabricated material requires higher visibility than all other material types.

The findings are limited to construction projects in the industrial sector. Further, the survey participants were based in North America at the time of participation.

The study’s findings indicate how visibility is spread across supply chain locations and for material types for the owners, contractors, suppliers and designers of industrial projects. As such, academia and industry’s research and investment efforts can be more focused on locations and material types that need improvement.

Industrial projects play an essential part in improving society’s daily lives, and this study’s findings contribute to improving the efficiency of the supply chain during construction of industrial projects.

Although previous studies mentioned the need and importance of visibility improvement, none have sought to understand the perception of leading supply chain stakeholders about visibility at supply chain locations and of material types. This study’s findings provide specific insights and directions for advancing in these areas with regard to supply chain visibility.