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We examine how social exclusion and temporal distance (i.e. being socially excluded in the present or the anticipation of exclusion in the future) shape whether people choose hedonic or utilitarian products.

We conduct four experiments to test the hypotheses. Study 1a and study 1b provide the initial evidence that consumers strategically engage in differentiation in response to social exclusion in the present and in the future. Study 2 and study 3 replicate the basic interaction effect of social exclusion and temporal distance on product choices and test the underlying mechanism.

We find that temporal distance affects consumer product choices through people’s coping strategies. When consumers are socially excluded, they are more likely to have a problem-solving tendency and more likely to choose utilitarian products. In contrast, when consumers imagine being socially excluded in the future, they are more likely to have to use emotions to solve problems and choose hedonic products.

Our study contributes to the literature in several ways. First, it deepens our understanding of the psychological drivers of social exclusion in consumer research. Second, it offers insights into understanding prior findings that document both problem-solving and emotion-regulating behavior in response to social exclusion. Third, by showing that social exclusion and temporal distance can influence the type of products selected, our findings contribute to a new stream of work that examines the impact of people’s fundamental desire for control on consumer behavior.

The purpose of this paper is to study the influence of perceived control on product preferences of consumers under self-threat.

By conducting four experiments, this paper manipulated the participants’ self-threat and three sources of perceived control – namely, the controllability of the threat itself, the internal and external locus of control of the individual and priming the existing positive or negative experience of the individuals. After the manipulations, the participants’ product preferences for self-growth goods or hedonic goods were measured.

The findings of this research indicated that when consumers have a higher perceived control of the threats they are facing, they are more likely to adopt problem-focused coping strategies and show a preference for self-growth goods, which can help them resolve their threats. However, when consumers have a lower perceived control on the threats they are facing, they are more likely to adopt emotion-focused coping strategies and show a preference for hedonic goods, which can help them adjust their emotions.

This paper systematically confirms the interactive effect of perceived control and self-threat on consumers’ product preferences, as well as the meditation role of problem-focused coping and emotion-focused coping. It also provides insights for marketers to know what factors may affect consumers’ preferences for products in self-threat situations, thus contributing to marketing practices.

Until now, traditional western consumption theories have not been able to adequately explain the consumption behavior of Chinese residents in the economic transitional period. Based on annual data from 1986 to 2004, the purpose of this paper is to examine the excess sensitivity of consumption through a variable parameter model.

A regression model was used to analyse annual consumption data from 1986 to 2004 in China.

The analysis demonstrates excess sensitivity characteristic in Chinese residents' consumption in the economic transitional period.

The paper concludes that in order to make the demand stimulation policy in China more effective, it is necessary to take a series of measures to correct the excess sensitivity of consumption, so as to establish a healthy cycle of national economy. The paper has only explained excess sensitivity of Chinese residents' consumption from the point of view of economics. While consumption is an economic problem as well as a social problem, those factors beyond economics should not be excluded from the analysis.

This paper differs from former studies in that previous scholars failed to take into consideration the special economic characteristics in China's transitional economy. The variable parameter model this paper employed takes full consideration of such unique factors as economic expectations and systems changes during the transitional period so as to better explain Chinese people's consumption behavior and provide a new perspective to make government policies stimulate domestic demand more effectively.

The paper aims to examine the consumption behavior of Chinese residents during economic transition. It explores whether Western theories of consumption are applicable to the Chinese situation, and then tests the hypothesis based on Chinese traditional culture and dynamic nature of system change.

The paper opted for an empirical‐based approach. A regression model was used to analyze annual consumption data from 1986 to 2008 in China.

The paper provides empirical insights and suggests that under the influence of Chinese traditional culture and dynamic change of the Chinese economic system, Chinese urban residents exhibit a special consumption pattern of an intermittent and cyclical nature.

The paper concludes that in order to make the consumption stimulation policy in China more effective, it is necessary to establish a series of measures such as establishing a sound social welfare system as well as narrowing the gap between the rich and the poor, which will substantially increase the buying power of the less‐privileged groups and thus will increase the overall spending in the society. Although the econometric model used in this paper is adequate, a different approach like time series econometrics may give us additional insights. Researchers are encouraged to test the hypothesis further by employing other methodologies. Second, due to the lack of its own theories in the emerging market, this study remains exploratory.

This paper fulfils an identified need to study the special consumption behavior of Chinese urban residents during the economic transition.

Because mobile phones offer a new, affordable and easy-to-use portal to reading material, mobile reading is emerging as the most ultra-modern reading approach. From the perspective of mobile reading service providers, knowledge of customer purchase, and consumption behaviour is critical for their survival and success. This paper aims to provide insights into the factors that influence the purchase e-books.

Following means-end chain theory, the prospect theory and elaboration likelihood model, a structural equation model is proposed to investigate and identify key factors that drive the purchase intention of experienced mobile readers. In the theoretical model, utilitarian value (UV) and hedonic value (HV) are supposed as formative second-order constructs formed by related payoff.

Both UV and HV are positively associated with readers’ purchase intention. However, there are no big differences between these two path coefficients. People seem to perceive relatively low payment risk although perceived risk could still negatively affect purchase intention. As a predictor of purchase intention, UV is less important when risk perception increases or when involvement (IV) decreases. Furthermore, this study illustrates that uniqueness and convenience (CV) are significant components of UV, whereas curiosity and flow are components of HV.

Mobile reading providers should highlight the professional and specificity of app such as beautiful cover, page setup that similar to real books and so on. Readers should be allowed to post real-time reviews and communicate with others to improve their sense of satisfaction, participation and belonging. The payment process should be concise and simple through which readers can save their purchase time and effort. Mobile reading service providers should provide trustworthy payment approaches, especially third-party platform and guarantee the CV and safety of payment activity.

By focusing on the impacts of relationships among UV, HV, perceived risk and IV to purchase intention, this paper not only provides a theoretical understanding of mobile reading purchase behaviour but also offers practical insights to reading material manufactures and app developers for promoting such a process.

Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.

Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.

Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.

We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.

Many waste-to-energy (WTE) plants are constructed and operated using the public-private partnership (PPP) mode in China. However, risk events of PPP WTE incineration projects sometimes occur. This study aims to clarify the relationship of risks in China's PPP WTE incineration projects and identify the key risks accordingly and risk transmission paths.

A risk list of PPP WTE incineration projects was obtained based on literature analysis. Moreover, a hybrid approach combining fuzzy sets, decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) was developed to analyze the causality of risks, explore critical risks and reveal the risk transmission paths. The quantitative analysis process was implemented in MATLAB.

The results show that government decision-making risk, government credit risk, government supervision behavior risk, legal and policy risk, revenue and cost risk and management capacity risk are the critical risks of PPP WTE incineration projects in China. These critical risks are at different levels in the risk hierarchy and often trigger other risks.

Currently, there is a lack of exploration on the interaction between the risks of PPP WTE incineration projects. This study fills this gap by examining the key risks and risk transfer pathways of PPP WTE incineration projects from the perspective of risk interactions. The findings can help the public and private sectors to systematically understand the risks in PPP WTE incineration projects, thus enabling them to identify the risks that need to be focused on when making decisions and to optimize risk prevention strategies. The proposed hybrid approach can offer methodological ideas for risk analysis of other types of PPP projects.

The purpose of this paper is to demonstrate that the sustainable development thought is one good reason why Chinese civilization is continuously developing, and it can be used as a reference for the development of Chinese agriculture today.

The paper employs a historical analysis approach to examine the sustainable thoughts concerning Chinese traditional agriculture, including view of sancai, farming season, fertility, the nature of matters, recycling, and economization.

The results reveal that the nature of Chinese traditional agriculture is akin to ecological agriculture, which is precious heritage for China and the whole world.

The originality of this paper is that it confirms the fundamental reason of the continuous development of Chinese civilization which, based on organization of sustainable development thought, lies in traditional agriculture.

Embroidery as a textile embellishment technique plays an important role in people's daily life. Esthetic embroidery artworks possess cultural values. With the development of robotics and artificial intelligence (AI), these technologies have been studied and applied in the embroidery process. This study aims to survey how these technologies facilitate embroidery from different aspects.

This paper surveys how the technologies of robotics and AI are applied in the embroidery field. The applications are mainly reviewed from three aspects: computerized robotic embroidery systems has been widely used for the mass production of embroidered textiles, the advanced technological systems and techniques have greatly facilitated the development of smart textiles and the artificial intelligence plays an important role in the inheritance, innovation and protection of traditional handicraft artwork of embroidery.

The programmable robotic embroidery machines have greatly improved the production efficiency of embroidered textiles and promoted the development of electronic textiles. The AI, mainly the deep learning technology, brings significant benefits to esthetic embroidery creation. Technology-based embroidery has become a hot research topic in the field of textiles.

This paper summarizes the application of robotics and AI technologies in the field of embroidery, which provides readers a comprehensive and systematic understanding about the research progress of modern technology-oriented embroidery. This helps readers gain inspiration from the technology perspectives.