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Despite servitization being widely regarded as an essential catalyst to improve manufacturing firms' survival and competitiveness, how to attain servitization remains debatable. The primary objective of this research is to explore whether or not, how, and when the dynamic capabilities affect servitization in the digital economy background. This research investigates the relationships between servitization and dynamic capabilities by incorporating firm ownership, firm lifecycle stage, digital economy level and environmental uncertainty as contingency factors in the research framework.

This research develops and verifies a conceptual framework for manufacturing servitization by employing the fuzzy-set qualitative comparative analysis (fsQCA) in analyzing the secondary longitudinal data from 148 China-listed manufacturing firms involved in servitization from 2015 to 2020.

The analytical results of fsQCA identify several configurational solutions for the success of manufacturing servitization. Each factor can be an enabler for servitization success despite none of the factors discovered as an absolute condition. Manufacturing servitization success within the digital economy depends on the interactions between dynamic capabilities and contingency factors such as digital economy level, environmental uncertainty, firm ownership, and lifecycle stage.

All of the construct's measurements in this research adopt secondary data, and further investigation calls for primary data (e.g. survey) for higher validity.

This research extends the current view of servitization by proposing an integrative conceptual framework, allowing manufacturing servitization to be examined more pertinently and comprehensively. Second, the research is an initial attempt that adopts fsQCA in servitization studies. The study sheds light on the mechanisms of attaining servitization by revealing the importance of dynamic capabilities and their interactions with the contingency factors. Third, the research extends the application scopes of dynamic capability theory, firm lifecycle theory, contingency theory, and institutional theory. Fourth, the research findings enrich the understanding of servitization in the digital economy and give business practitioners insights on leveraging dynamic capabilities in different conditions to attain successful servitization under the current circumstances.

To realise the shared development of the digital economy, people need to transcend the capital logic and advocate the logic of cooperative development, i.e. “co-construction, benefit-sharing and co-governance”. This study aims to discuss the aforementioned statement.

Platform economy is a new economic form produced by the transformation of the social production patterns in the era of digital capitalism. In the neo-imperialist stage, a new stage of capitalist development, capital logic promotes the global expansion of the platform economy and influences its development process, organisational form, contradictions and dilemmas and internal transcendence. Having the spatiotemporal chain of capital circulation repaired, the globalisation of the platform economy is reshaping how the means of production are combined with labour, affecting the local changes in the general relations of production and “international relations of production”.

In the accumulation of digital capitalism, the social contradictions and fundamental contradictions in the capitalist world have been further intensified, making exploitation, income distribution gap, monopoly and other problems increasingly severe. The imbalance and inequality in the global development of the digital economy are increasingly prominent.

Regarding the global governance of the digital economy, China, as a major responsible country, will strive to encourage all countries to co-build a community with a shared future in cyberspace. In the new international development pattern of digital economy globalisation, China must take effective measures to actively safeguard its national security and development interests to meet specific challenges.

The purpose of this study is to explore how the development of digital trade can provide new development prospects to China's foreign trade under the background of the gradual expansion of China's digital economy and the further release of policy dividends.

Using the methods of literature collection and induction, combined with traditional trade theory, this paper analyzes the characteristics and challenges of digital trade under the background of the digital economy.

The findings reveal that China's digital trade development still faces some risks, such as the containment of China's core technology, digital security and unbalanced development among regions. Considering these risks, China should break through core technical problem, participate in the formulation of international rules to ensure data security, give priority to the development of service trade and improve the unbalanced development of digital trade.

By analyzing the development status and characteristics of the digital economy and digital trade, this paper summarizes the challenges and comparative advantages faced by China's digital trade, and puts forward corresponding suggestions. These suggestions will allow China to take advantage of its rapid digital economy development and occupy a leading position in global digital trade.

This paper creatively expounds on the new development direction of digital trade from the perspective of comparative advantage and risks, and provides some suggestions to expedite China's digital trade development.

The purpose of this paper is to develop a method to quantify the digital economy using a representative measurement approach and use it to analyze the USA, Germany, the Republic of Korea and Sweden.

The research approach of this paper is based on a developed methodology to identify firms of the digital economy by measuring the market capitalization of selected countries in comparison over time using financial databases.

Comparing the market capitalization of the digital economy, the USA lead both in absolute as well as in relative terms. The 11 firms with the largest market capitalization are all American. For Germany, the results show that policy measures should be undertaken to ameliorate competitiveness in the field.

This current measurement only includes public firms. An interesting avenue for future research would be to transfer the approach to investigate private firms.

Previous research has focused on comparing information and communication technologies adoption and infrastructure as well as innovation hubs between countries. The authors are not aware of any paper to date which has compared market capitalization in the digital economy between countries using a representative sample. This paper offers a research approach to measure and compare the digital economy between countries. The methodology could be applied to other countries which seek to benchmark their performance and derive policy measures to be able to compete with jurisdictions leading in the digital economy.

This study aims to explore the business models and strategies of digital enterprises in a developing economy context to understand the nature of their operations, as well as their survival tactics.

A review of literature on digital enterprise models led to the adaptation of a 16 business model archetype for analyzing digital enterprises in Ghana. Using a critical realism perspective, survey data from a sample of 91 digital enterprises were used for the study.

The findings suggest that among human, physical and intangible assets, financial assets were the least used assets in the operations of the digital enterprises. This stems from the fact that the online financial business sector is still in its nascent stages in most developing economies. The findings further suggest that all digital enterprises leverage on accessible and low-cost social networking services as part of their operations and use them as an avenue to engage with their target customers.

The findings from this study provide guidelines to entrepreneurs who wish to venture into the digital ecosystem of Ghana, particularly with regard to the economic, financial and technological factors that enable digital enterprises to survive in the competitive digital economy.

The findings suggest that it is important for governments to realize that there is an increasing rise in digital enterprises in the developing economies and these enterprises are creating jobs and providing business solutions locally that would hitherto be sought from developed economies. There is therefore the need for the requisite legal infrastructure and financial support that will cushion these enterprises from the fierce competitions that stagnate their growth.

The study provides a mapping of the digital business models of Ghanaian digital enterprises. This knowledge is arguably the first of its kind in the context of a developing economy. Hence, it serves as a stepping-stone for future studies to explore other areas in the digital economy, especially from a developing economy perspective.

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.

By discussing the spatial spillover effect and regional heterogeneity of digital economy and green agricultural development level, this paper aims to provide countermeasures and suggestions for the better development of green agriculture in the contemporary era when digital economy is universally developed and at the same time provide development suggestions suitable for green agriculture's development characteristics and initial conditions for different regions.

This paper discusses the theoretical foundation of the digital economy and green agriculture development and utilizes panel data from 30 provinces in China from 2011 to 2018. By employing the Super-Efficiency Slack-based Measure and Malmquist-Luenberger (SBM-ML) model based on unexpected output to measure the total factor productivity of green agriculture and employing the spatial panel Durbin model to empirically test the spatiotemporal effects of the digital economy on green agriculture development from both temporal and spatial dimensions. Finally, the model is tested for robustness as well as heterogeneity.

The research findings are as follows: First, from the perspective of time effect, digital economy has a continuous driving effect on the development of green agriculture and with the passage of time, this effect becomes more and more prominent; second, from the perspective of spatial effect, digital economy has a significant positive impact on the development of local green agriculture, while digital economy has a significant negative impact on the development of surrounding green agriculture. Finally, the impact of digital economy on the development of green agriculture shows significant differences in different dimensions and regions.

As an important driver of economic growth, the digital economy has injected new impetus into agricultural and rural development. Along with the intensifying environmental pollution problems, how to influence the green development of agriculture through the digital economy is a proposition worthy of attention nowadays. This paper analyzes the relationship between the digital economy and agricultural green development in multiple dimensions by exploring the temporal and spatial spillover effects of the digital economy on agricultural green development, as well as the heterogeneity in different dimensions and in different regions and derives policy insights accordingly in order to improve relevant policies.

Although the circular economy is widely regarded as an essential strategy for firms, the present understanding of the drivers and outcomes of circular economy implementation is underdeveloped. In this paper, the authors draw on the natural resource-based view and information processing theory to explore how an environmental orientation and digital supply chain platforms promote circular economy implementation, and increase the impact of circular economy implementation on financial performance.

The authors surveyed 249 Chinese firms and used hierarchical regression analysis to test hypotheses.

The empirical results reveal that three primary modes of circular economy implementation—reinvent and rethink (INV), restore, reduce and avoid (RRA), and recirculate (REC)—are all driven by environmental orientation and digital supply chain platforms. More interestingly, digital supply chain platforms have an inverted U-shaped moderating effect on the relationships between environmental orientation and INV and between environmental orientation and RRA. Most importantly, INV and RRA are positively related to financial performance, whereas REC does not have a significant relationship with financial performance.

The authors contribute to the literature on the circular economy by revealing new drivers and outcomes of different modes of its implementation. Additionally, the findings have implications for how firms should frame their circular economy initiatives in the context of the digital revolution.

The study aims to take a step back and take the big picture of how digital capitalism is changing people's ways of living and production. On that basis, China should enhance its digital governance rationally and develop the digital economy efficiently, thereby bringing its socialist economy to new heights.

The rise of digital capitalism in the 1990s has profoundly changed the ways of consumption, employment, production organization and investment in the realm of capitalism.

Digital Capitalism has not changed the nature of capitalism, that is, exploitation and capital accumulation, which continue only in a more profound, extensive and covert way.

For the economy of socialist China to grow in the new era, China should tap into digital economy platforms, take a people-centered approach and let the people jointly develop the digital economy, share the fruits of development and participate in the governance of the digital economy. The government should leverage its modern digital governance and a high-quality digital economy to meet people's ever-growing demand for a better life.

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.