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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.

This paper draws on the perspective of social networks to examine when 3PLs initiate low-carbon supply chain integration (LCSCI) in decarbonising supply chains.

A questionnaire survey was conducted on a sample of 348 Chinese 3PLs. Stepwise regression was adopted to analyse the data.

It is found that LCSCI has a positive effect on firm performance. From the social network perspective, a larger scope of outsourcing increases 3PLs' embeddedness, which increases their chance of success in initiating LCSCI, especially for 3PLs with higher decarbonisation capabilities. Interestingly, although the pressure from government regulation can also motivate LCSCI, it is less effective for 3PLs with higher decarbonisation capabilities because they can be too embedded in the network to freely adapt to regulations.

This study has investigated 3PL-initiated LCSCI only from the view of 3PLs. A dyadic approach which includes the perception of customers would be desirable.

The results highlight the critical role of 3PLs as supply chain orchestrators in decarbonising supply chains, and the effectiveness of LCSCI as a competitive strategy of 3PLs. Coercive pressures from government regulations are not constraints but resources for 3PLs in initiating LCSCI, especially in markets where the 3PLs have insufficient decarbonisation capabilities.

This study contributes to theories on 3PLs' interorganizational low-carbon initiatives, LCSCI, and the paradox of social networks in supply chains.

Through comparative analysis, this study attempts to uncover the differences and similarities among transnational company (TNC) investments in various host countries. After empirically analyzing the panel data collected from the US and Japanese TNCs' foreign R&D investments, it looks into the influences of the host countries' economies, technologies, and institutional factors on absorbing TNCs' foreign R&D investment from different countries. The host countries' market size and potential are still the main influencing factors in making the choice. The US TNCs focus mainly on host countries' scientific and technological capabilities and potentials, whereas those of Japan are concentrated more on the scientific and technological capabilities and personnel, so as to improve R&D. Moreover, the US TNCs show more attention to host countries' intellectual property protection than do those from Japan.

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.

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.

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.

Doctors' labour and medicines are special necessities for human survival and evolution. Since China launched the healthcare reform, the theoretical circles' discussions have not yet clarified the respective special properties of doctors' labour and medicines as goods and the internal relations between doctors' labour and medicines at the level of the theoretical basis.

Health is a prerequisite for people's all-round development, a precondition for economic and social development and the people's common aspiration. The all-round moderately prosperous society could not be achieved without people's all-round health.

The authors believe the socialist relation between doctors' labour and medicines with Chinese characteristics should be one that is people-oriented, and the corporatization of hospitals or the capitalization of doctors' labour should be avoided.

In this paper, the authors explore the particularity of doctors' labour, particularity of medicine production, circulation, consumption and the internal relations between doctors' labour and medicines by using the analytical approach of Marxist political economy while considering the special roles of doctor's labour and medicines in the reproduction of labour power and put forward the theoretical basis for the segregation of doctor's labour and medicines.

Shanghai ANE Logistics Co., Ltd., established on June 1, 2010, is a business of road part-load logistics for goods from 5 to 300 kilograms. Mr. Wang Yongjun and his management team have spent five consecutive years building ANE into the biggest part-load franchising network in China, and set up a brand new business model, through integration of traditional transport lines, part-load express network and information technology platform.