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The purpose of this study is to investigate how individuals' prosocial motivation affects their social entrepreneurship intentions (SEI) through the mediating effect of creativity and the moderating effect of family-to-work support.

A questionnaire survey was conducted in the Pearl River Delta region in Guangdong, China, and data were collected from 318 respondents who had rich social work experience. To test the hypotheses, a hierarchical linear regression analysis was conducted using SPSS 24.0 software.

Results offer empirical support for the hypotheses that creativity in social work plays a full mediating role in the relationship between individuals' prosocial motivation and SEI, and family-to-work support plays a positive moderating role in the relationship between creativity in social work and SEI.

This study shows the importance of prosocial motivation, creativity in social work and family support in driving individuals' social entrepreneurship intentions and behaviours. Future research needs to further examine how the dynamic relationships between these factors unfold over time, as well as consider the effect of other motivational factors on creativity and SEI.

This study suggests that the cultivation of individual prosocial motivation is crucial and requires the efforts of family, school and society. Relevant organisations should encourage individuals to incorporate creative thinking into their work, as well as offer training opportunities. In addition, social entrepreneurs should also strengthen communication with their families and strive to gain their understanding and support.

The findings of this study extend existing views on the relationship between individuals' motivation and entrepreneurship intentions in the social entrepreneurship research field by focusing on the perspective of prosocial motivation. In particular, this study reveals the complex process of how prosocial motivation promotes SEI by identifying the role of creativity and family-to-work support, which has rarely been explored in the extant literature.

Organic coatings are widely used for protecting metal equipment and structures from corrosion. Accurate detection and evaluation of the protective performance and service life of coatings are of great importance. This paper aims to review the research progress on performance evaluation and lifetime prediction of organic coatings.

First, the failure forms and aging testing methods of organic coatings are briefly introduced. Then, the technical status and the progress in the detection and evaluation of coating protective performance and the prediction of service life are mainly reviewed.

There are some key challenges and difficulties in this field, which are described in the end.

The progress is summarized from a variety of technical perspectives. Performance evaluation and lifetime prediction include both single-parameter and multi-parameter methods.

Some firms choose not to use an investment bank advisor in mergers and acquisitions (M&A) transactions. We test whether this decision affects the merger announcement period returns. We compare the abnormal returns from a sample of 179 in-house acquisitions (in which either the acquirer or the target firm does not hire an investment bank advisor) to those of a matched sample of acquisitions (in which all firms hire an investment bank advisor). We find that not employing a financial advisor has no significant effect on the abnormal returns of acquiring firms but does reduce the abnormal returns of target firms. This relation holds even after controlling for various firm and merger characteristics.

This study aims to construct mechanisms of big data-driven business model innovation from the market, strategic and economic perspectives and core logic of business model innovation.

The authors applied deductive reasoning and case analysis method on manufacturing firms in China to validate the mechanisms.

The authors have developed an integrated framework to deduce the elements of big data-driven business model innovation. The framework comprises three elements: perspectives, business model processes and big data-driven business model innovations. As we apply the framework on to three Chinese companies, it is evident that the mechanisms of business model innovation based on big data is a progressive and dynamic process.

The case sample is relatively small, which is a typical trade-off in qualitative research.

A robust infrastructure that seamlessly integrates internet of things, front-end customer systems and back-end production systems is pivotal for companies. The management has to ensure its organization structure, climate and human resources are well prepared for the transformation.

When provided with a convenient crowdsourcing platform to provide feedback and witness their suggestions being implemented, users are more likely to share insights about their use experience.

Extant studies of big data and business model innovation remain disparate. By adding a new dimension of intellectual and economic resource to the resource-based view, this paper posits an important link between big data and business model innovation. In addition, this study has contributed to the theoretical lens of value by contextualizing the value components of a business model and providing an integrated framework.

The purpose of this paper is to investigate how young Chinese consumers' money attitudes influence their compulsive buying behavior.

In total, 303 undergraduate students from Tianjin and Ningbo (two major cities in coastal China) answered a self‐administered questionnaire.

Money attitudes were found to significantly affect young Chinese consumers' compulsive buying behaviour. Specifically, the Retention‐Time dimension significantly affected both male and female consumers' compulsive buying. However, the Power‐Prestige dimension only affected male consumers' compulsive buying. Finally, the Quality dimension had a greater impact on male than on female consumers' compulsive buying.

The data were collected in two major cities in the coastal region of China. Given the differences between coastal and inland China, caution must be taken when generalizing the research results to young consumers from inland China.

The discussion of the relationships between young Chinese consumers' money attitudes and their compulsive buying will help marketers and policy makers to better understand these consumers' spending behaviour. Thus, marketers can identify new market opportunities and form marketing strategies to target young consumers in China. On the other hand, policy makers can also form more effective education strategies to help young consumers to spend wisely.

Different from previous research in money attitudes and compulsive behaviour, the research provides an in‐depth overview of how male and female young Chinese consumers perceive money and how their beliefs about money affect their spending.

The purpose of this paper is to explore how differently Chinese consumers, located in different regions, perceive country image.

In total, 1,257 consumers from Beijing, Shanghai, Qingdao, Shenyang, and Wuhan are surveyed.

The results demonstrate that Chinese consumers in different regions focus on the different country image factors when they perceive the general quality of foreign products. Emotional and cognitive factors have a more significant effect on the consumers' perception of the product's quality than normative factor in Beijing and Wuhan. In the case of Shanghai, emotional factor has the strongest effect, cognitive factor has the modest and normative factor has the weakest. Cognitive and normative factors have a significant effect on the consumers' perception of the product's quality in Qingdao and only cognitive factor has a significant effect in Shenyang.

The proportion of young consumers who are in their early 20s accounts for 63 percent of the sample, which may propose the representative problem of the sample, affecting the contents of the regional differences in the Chinese market.

The results suggest that not only the businesses' marketing activities to improve the company image are important, but the government's national promotional strategies to improve the country image are also important. It is suggested that regional heterogeneity of Chinese market should be carefully considered when implementing effective marketing strategies.

The paper provides an in‐depth investigation into how the country image influences Chinese consumers differently from those who are located in different Chinese regions when they perceive product quality from various foreign countries.

To achieve the dual goals of decarbonization and food security, this paper examines China's carbon footprint reduction in 2050 based on current mitigation strategies.

Considering publications as featured evidence, this study develops an investigation of agricultural decarbonization in China. First, the authors summarize the mitigation strategies for agricultural greenhouse gas (GHG) emissions in the existing literature. Second, the authors demonstrate the domestic food production target in 2050 and the projection target's projected life-cycle-based GHG emissions at the commodity level. Lastly, the authors forecast China's emission removal in the agri-food sector in 2050 concerning current mitigation strategies and commodity productions. The authors highlight the extent to which each mitigation strategy contributes to decarbonization in China.

Practices promoting sustainable development in the agri-food sector significantly contribute to GHG emission removal. The authors find mitigation strategies inhibiting future GHG emissions in the agri-food sector comprise improving nitrogen use efficiency in fertilizers, changing food consumption structure, manure management, cover crops, food waste reduction, dietary change of livestock and covered manure. A 10% improvement in nitrogen use efficiency contributes to 5.03% of GHG emission removal in the agri-food sector by 2050. Reducing food waste and food processing from 30% to 20% would inhibit 1.59% of the total GHG emissions in the agri-food sector.

This study contributes to policy discussions by accounting for agricultural direct and indirect emission components and assessing the dynamic changes in those related components. This study also extends existing research by forecasting to which extent the decarbonization effects implemented by current mitigation strategies can be achieved while meeting 2050 food security in China.