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Intersectionist, unionist and relabelling models have largely superseded the subsumption of supply chain management within logistics that formed the basis of the traditionalist model. As there is little congruence between logistics and supply chain management in the emergent intersectionist model, this is eliminated from consideration at the outset. However, an examination of the new unionist and relabelling models, offering differing permutations of the relationship between logistics and supply chain management, suggests that they offer a misleading foundation for examining the costs involved with the dispersal of supply chain activities across the world. The root problem is the failure to integrate the industrial goods transformation network operated by multinational corporations with the global transport and communications network. Reverting to privileging the global transportation and communications network over the industrial goods transformation network in a revamped traditionalist model can overcome this difficulty and open up new research vistas.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Currently, China’s economy is in the critical phase of transforming economic development patterns and replacing old growth drivers with new ones. Whether it can successfully overcome the “middle-income trap” has become a significant issue attracting wide attention.

Driven by underlying digital technologies such as artificial intelligence, blockchain, cloud computing and big data, the fourth industrial revolution featuring the booming digital economy has provided significant opportunities for China’s economy to “overtake” and overcome the “middle-income trap”. The transformation of economic development pattern, the optimization of industrial structure, and the change of growth drivers, brought by the deep integration of digital and real economies are the keys to leaping over the “middle-income trap”.

From the supply side, the digital economy can improve the quality and efficiency of the supply side and promote the supply-side structural reform and economic growth from the following three aspects: First, promote the quality, efficiency and diversification of the supply system; second, promote networking, opening-up and synergy in the innovation system and third, promote the socialization, modularization and flexibility of production pattern. From the demand side, the digital economy can boost the new drivers of the “troika” of economic growth consisting of consumption, exports and investment by changing the market investment direction, promoting consumption upgrade and fostering export strengths. However, once these two attributes interact with each other, especially when data is combined with capital, the most adhesive factor in the market economy, a series of new social relations will then be produced based on the technical attribute, resulting in significant adjustments in social relations, involving both positive and negative externalities.

To overcome the “middle-income trap”, it is necessary to adapt to the laws of economic evolution and promote a fundamental change in economic growth drivers; boost the high-quality development of the digital economy by strengthening the support role of data in the digital economy; and accelerate digital industrialization and industrial digitalization to realize the integration of digital and real economies.

The integration of the digital economy and the real economy has been a key focus in promoting digital economic development. It denotes a comprehensive digital transformation of national economic activities regarding technological infrastructure and production modes, which is crucial for establishing a modern economic system, advancing industrial infrastructure and modernizing industrial chains.

Firstly, the study delves into the internal logic behind the emergence of the new development dynamic resulting from digital technology's evolution. Secondly, it explores the mechanism of mutual promotion and support between the new development dynamic and the digital economy based on China's shift in focus from international engagement to the domestic economy during different stages of industrialization. Subsequently, it analyzes the characteristics and critical factors of digital economy development and examines the macro-, meso- and micro-level constraints on these factors. Finally, the paper explores approaches to promoting digital economy development while constructing the new development dynamic and provides relevant policy suggestions.

The construction of the new development dynamic and the development of the digital economy are inextricably linked, and only by mutually reinforcing each other can they provide an inexhaustible impetus for China's high-quality economic development.

The new development dynamic and the digital economy development form an indivisible whole. The new development dynamic creates the necessary conditions for digital economy development and promotes the formation of digital production modes. In turn, the development of the digital economy should strive to improve the mainstay position of the domestic economy, enhance the synergy between the domestic economy and international engagement, upgrade value chains while improving the supply and the industrial chains in China and ensure a parallel increase in labor income alongside improved productivity.

This study examines the factors that influence the improvement of the consumer goods sector in three dimensions (technology, internal factors and external environment) for exploring the upgrading paths of Shanghai's consumer goods industry.

This paper targeted eight sub-industries of consumer goods as case studies, including food processing, and investigated from qualitative and quantitative perspectives using the technology-organization-environment (TOE) framework.

The study confirms the diversity of paths to promote the upgrading of the consumer goods industry in Shanghai, and three paths are summarized in this paper. The “human–environment” linkage upgrade path is to bring sufficient economic contribution to help industrial upgrading by expanding market share, and this path is suitable for large enterprises in the industry to adopt; the “internal factor aggregation” upgrading path is to strengthen the aggregation effect of resources, form industrial clusters and link high human aggregation with industrial aggregation to exert leverage to transform and upgrade the consumer goods industry, and this path is suitable for SMEs in the industry to adopt; the “technology–environment” linkage upgrade path is to use technological factors for product innovation to occupy a favorable market position, to obtain high economic returns and realize industrial upgrading under the joint action of technology and external environment, and this path is suitable for high-tech enterprises to adopt.

Shanghai still has a large area for growth toward foreign metropolises, under the backdrop of the strong development of new manufacturing. Also, to diversify their investment portfolio, the consumer goods industry should focus on population, job density and industrial growth while looking into industrial aggregation.

This study aims to consider the developing of strategic use of big data in association with long-linked physical goods supply focusing on risk management.

Analysis is grounded on a case study of organizing the import of machine parts from Shanghai, China, to Norway. An analytical framework is developed through a literature review on long linked supply chains, big data and risk management.

Analysis reveals that big data use in this scenario encompasses mainly around handling risks associated with transformations in the supply chain, a data-driven approach. Complexity is founded in transformation – the flows of goods and information. Supply chain dynamics represent an important source for data acquisition for big data analytics.

The qualitative nature of the study limits the aim of generalization. An alternative view of big data as process is discussed and proposed, adapted to supply chain management and industrial marketing functionality.

This is the first part in an ongoing research project aimed at developing a research approach to study information technology use in the inherently complex setting and scope of a long linked supply network. This scope of investigation enhances big data associated with operations dynamics providing foundation for future research on how to use big data to mitigate risk in long linked supply chains.