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This paper takes Chinese A-share listed companies from 2007 to 2021 as research samples to investigate the influence of supplier concentration on debt maturity structure and its mechanism. It further analyzes whether the relationship between the two is different in the case of different monetary policies, collateral assets, and total debt. The research conclusion is of practical significance for enterprises to construct a balanced debt maturity structure and prevent financial risks.

This paper adopts the empirical research method. The data came from the CSMAR database, which eliminated ST and *ST and companies with missing data, resulting in a sample of 20,328. Stata16 was used for statistical analysis.

There is an inverted U-shaped relationship between supplier concentration and debt maturity structure, and market position and trade credit play an intermediary role. In the case of tight monetary policy, fewer collateral assets, and higher total debt, the inverse U-shaped relationship is more significant.

This paper examines the relationship between supplier concentration and debt maturity structure from a non-linear perspective for the first time, providing theoretical support for enterprises to form a reasonable debt structure, and deepening the theoretical cognition of the relationship between supplier concentration and corporate debt maturity structure.

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.

The paper aims to explore the roles and impact of design in incubating and accelerating social enterprises. It aims to understand design’s influence on social enterprise ecosystems and in improving outcomes for social enterprises.

The study used an exploratory, qualitative approach, using case studies and interviews. The comparative case-study methodology was applied to evaluate the influence of design on the development of social enterprises in the UK and South Korea and identify critical issues in their utilisation of design. Empirical data included: in-depth case studies of design utilisation practices (UK = 6; South Korea = 15) and design applications (UK = 2; South Korea = 2) for the growth of social enterprise and its ecosystem; 27 social enterprise/design experts (UK = 17; South Korea = 10); and 22 social enterprises (UK = 12; South Korea = 10). Content and thematic analysis were used to synthesise the findings.

Findings demonstrate the differing influences of design on social enterprise, from improving products/services and business models to enhancing social enterprise ecosystem support and networks. Future directions are suggested for applying design for social enterprise growth, business stage development and systematising interactions between the social enterprise and design sectors.

The research is based on case studies from only two countries. Further, the adoption of working definitions of social enterprise in the countries may result in the research underestimating the heterogeneity of social enterprise.

The findings contribute to optimising efficient ecosystem development to improve social enterprise competitiveness and innovation.

This paper establishes a research foundation on design for social enterprise, offering theoretical and practical insights into its impact on growth.

The paper examines the key driving factors behind the rapid and uneven growth of social enterprises in China based on Kerlin’s Macro-Institutional Social Enterprise (MISE) model of social enterprise development, with an emphasis on testing key local institutional factors.

The study adopts the quantitative method approach. The hypotheses have been tested based on a cross-regional empirical analysis with two national datasets on China.

This study shows that among the state, market and civil society, local government support in terms of favorable policies is the sole determinant factor driving China’s social enterprise growth. On the other hand, the market is irrelevant and local civil society impedes social enterprise growth. This demonstrates that the current growth model is the result of government intervention.

The datasets have a limited sample size. We suggest that future studies may collect a larger sample size with more comprehensive information. We think this study will encourage more comparative qualitative studies at the local level to reveal the underlying mechanisms of growth.

Since government policy is the determinant factor, the quality and quantity of government-backed incubation programs and platforms would matter the most for social enterprise growth. Our study also helps social entrepreneurs understand what factors matter when they try to develop social enterprises in China. They are advised to work on aspects of gaining legal legitimacy and political support in order to grow the sector.

This conclusion suggests that professionals and practitioners should review the implications of the current growth of social enterprises in China, in terms of their sustainability, given their institutional isolation from other sectors.

Current studies have yet to thoroughly explore the role of meso- and micro-institutional factors in social enterprise development, especially in different contexts. With reference to Kerlin’s framework and the tri-sector model, this paper advances the understanding of social enterprise growth in China.

One of the major purposes of implementing vocational education is to offer trained manpower to enterprises that meet the immense challenges of the global economic competition and unprecedented technological changes. Selecting an adequate enterprise, from the school's viewpoint, is a critical factor for implementing the vocational education system. This paper suggests applying the ANP approach in order to deal with the interdependence among criteria of different layers of the analysis process to select the suitable partner enterprise where students can gain experience. The paper describes the cooperation patterns between schools and enterprises as well as the criteria which should be considered and the corresponding attributes used to evaluate the potential enterprises.

First this paper introduces the concepts of virtual manufacturing system (VMS). The host enterprise and the multiple numbers of supply and distribution enterprises that make up a VMS, and the hierarchical and horizontal relationship that exists between these enterprises are explained. The steps involved in formation and operation of a VMS are then analyzed in detail. Second, we present a three view based methodological approach to make a multi‐agent model of VMS. Finally, with the help of a testing prototype, we show how to develop an autonomous Internet based data collection system for operation of VMS in accordance with the proposed methodological approach.

The purpose of this paper is to highlight conceptual and technical difficulties in mapping “social enterprise” and “social purpose business” organizations.

This paper reflects on the design and administration of a social enterprise population survey in Ontario, Canada.

Numerous approaches used to frame social enterprise organizations were seriously flawed and fundamentally problematic, and criteria to distinguish social enterprise from other organizations were seemingly arbitrary, unstable, or unworkable.

This paper both contributes to those attempting to empirically research social enterprise organizations, and to the broader discussion concerning whether social enterprise is usefully approached as a distinctive organizational form.

In today’s global economy, manufacturing enterprises must be viewed in the context of their contribution to the total value chain. Extended or virtual enterprises, consisting of tele‐computing mediated chains of suppliers, manufacturers, assemblers, distributors and customers, compete to supply quasi‐customised products to discerning markets. This paper reviews the thinking behind the extended enterprise and virtual enterprise models of manufacturing systems, identifies the characteristics of each and the similarities and differences between them.

The purpose of this paper is to focus on the evaluation model of the enterprises' technological innovation system, based on the theory of complex adaptive system.

Combined with the status quo and recent studies of Chinese enterprises' technological innovation, the paper discusses the complex‐system features of the technological innovation. The stimulus‐response model is used to establish the two‐level framework for enterprises' technological innovation system. By means of the adaptive fitness function, the economic and social utility of enterprises' technological innovation is measured from two dimensions. Finally, the fuzzy catastrophe model is introduced to evaluate the enterprises' technological innovation.

The enterprises' technological innovation system has attributions of the subject aggregation, the systematic openness, nonlinearity and diversity. Thus, the macro‐micro based technological innovation system from the perspective of complex adaptive system is proposed. The system utility is considered based on the system subjects and system structure, and the calculation framework of the adaptive fitness for the whole system is obtained by considering the emergent property describing the system scale effect and structure effect. In fact, the fuzzy theory can well reflect the influential situation that the interactions between different factors may cause the mutation of the higher level and the interactions between enterprises can lead to the shifts of the system.

The paper proposes the complex adaptive system for the enterprises' technological innovation based on the special macro environment in China. A new framework for the research of technological innovation is provided by analyzing the system inner model. Fuzzy catastrophe model can reduce the evaluation irrationality due to the subjective index weights.

The proliferation of enterprise education initiatives in Britain emphasises the importance of understanding the meaning of the term “enterprise competency”. Ironically, though the provision for enterprise education grows, there are few research and evaluation studies available to clarify the meaning of enterprise competency for education and assessment. A literature review of this area which is published by the Scottish Enterprise Foundation is summarised. Without precise definitions and research enterprise competency risks meaning everything and nothing to those involved with enterprise education and assessment.