This study examined the importance of psychological benefits of using eco-friendly services in the context of drone food delivery services. Based on the theoretical relationships between the conceptual constructs, a research model was developed and then assessed using data collected from 397 samples in Korea. The data analysis results showed that the three sub-dimensions of psychological benefits (i.e. warm glow, self-expressive benefits, and nature experiences) play an important role in the formation of positive and negative anticipated emotions. Furthermore, the positive and negative anticipated emotions had a significant influence on desire, which in turn positively affects intentions to use.

In an era marked by the expansion of the Internet economy and the intensification of environmental concerns, the convergence of digital finance and green finance has emerged as a significant global trend. China’s Alipay Ant Forest, an innovative green financial product, has successfully quantified carbon emission reductions resulting from users’ green consumption patterns, establishing the first carbon account-based green financial product and pioneering an innovative “green finance plus gamification” model. However, the academic literature has not fully explained the underlying mechanisms that drive consumer engagement with such green financial products. This study, motivated by the academic question of what factors influence consumers’ willingness to use green financial products, employs Ant Forest as a case study and develops a novel structural equation model based on self-determination theory, customer-perceived value, and the technology acceptance model. The model incorporates user type as a control variable and considers autonomy, gamification, and bonuses as key independent variables, with customer-perceived value serving as a mediating variable. Data collection involved 606 participants, enabling a comprehensive analysis of the factors influencing users’ willingness to engage with green financial products. The findings support the proposed hypothesis, identifying several significant predictors of users’ willingness to use green financial products, with the exception of age. This study advances the theoretical understanding of consumer behavior towards green financial products by integrating self-determination theory, customer-perceived value, and the technology acceptance model, while also offering practical insights for marketing strategies. It explores the interface between digital finance, environmental sustainability, and consumer behavior, highlighting opportunities for financial institutions to leverage Internet applications to promote green financial services and enhance their marketing approaches to influence consumer adoption.

This study contributes by analyzing the economic effects of China’s distribution industry based on China’s 2012 and 2017 input-output data. It analyzes changes in the forward and backward linkage effect over a five-year period in accordance with the Chinese government’s distribution industry policy. The coefficients of the effects of the Chinese distribution industry, using Input-Output Tables and a comparative analysis of the sensitivity of dispersion, were determined. In terms of the coefficient of influence, most of the sectors that ranked high in 2012 are related to manufacturing, except for lodging and catering. The sensitivity and influence coefficients indicate that the top-ranked sectors in 2012 were more affected by the raw materials and energy essential for manufacturing development than by the services sector.

Many of the foreign companies operating in China have claimed that they have failed and are constantly deciding on a strategic withdrawal from the Chinese market. We intend to conduct an empirical analysis of Chinese consumers in order to determine the cause of Tesco’s management failure in China. The survey was conducted on those in their 20s or older who had experience shopping at both Tesco and RT-Mart. As a result, a total of 650 copies were distributed to obtain an effective sample of 607 copies, which was used for the analysis. This paper conducted a comparative analysis on Chinese consumers who visited both Tesco and its rival company RT-Mart in China. We found through comparative analysis that Tesco was destined to fail in many areas. It was estimated that RT-Mart was more satisfactory in all factors, including product, location, brand recognition, and employee service.

The purpose of this study is to analyze the economic ripple effects caused by the supply-side reforms on China’s steel industry. To this end, using the 2012 and the 2017 China Input–Output Tables, this study analyzes the economic ripple effect of the Chinese steel industry caused by its supply-side reform. In this study, the influence coefficients (rear-linked effect) and the sensitivity coefficients (forward-linked effect), conceptualized by Leontief, are used as research tools to analyze the ripple effects of the Chinese steel industry. The analysis results are as follows. First, the fact that 2012 ranked high in professional equipment and meter manufacturing shows that the Chinese government’s supply-side reforms are effective and creating the required shift from traditional manufacturing to qualitative growth. Second, in terms of the sensitivity coefficient, in 2012, most of the top industries contributed significantly to the development of the Chinese economy. The originality of this study is as follows. The input production analysis used in this paper is a methodology mainly used in the steel, coal, automobile, and petrochemical industries, which clearly distinguishes the front and rear industries. Additionally, this study is a novel attempt at comparative research on the Chinese steel industry between 2012 and 2017.