Sustainable green technology innovation is essential in all the stages of the supply chain development. The members of the supply chain in each stage need to invest in sustainable green technology innovation research and development. However, whether the sustainable green technology innovation investments and profits for all the members are fairness concerned is a critical factor to motivate the supply chain members. Motivated by a real business investigation, in this study, a supply chain model with one supplier and one manufacturer is analyzed. We consider fairness concerns for the supplier and the manufacturer with sustainable green technology innovation development. We derive the optimal results in both with and without fairness concern. The results indicate that fairness concerns can promote and coordinate the supply chain members without advantage inequity averseness, to invest more on their sustainable green technology innovation development.

The willingness to pay (WTP) for marine conservation is an important basis for the design of market-based marine protection strategies and sustainable marine environment development. Whether the individual was willing to pay and how much they would prefer to pay may be affected separately by different factors. Thus, we investigated the probability of paying for marine conservation and the payment amount to obtain evidence regarding the factors that influence the preferences of stakeholders. We considered two marine protected areas in Zhejiang Province, China, where we combined contingent valuation with logit and tobit models to measure the differences in the WTP for marine conservation between tourists and residents. The results showed that most respondents were willing to pay for marine conservation, but they were affected by different factors. The average amounts that the respondents were willing to pay were 216.20 CNY ($34.3) and 172.43 CNY ($27.4) in the Nanji Islands MPA and Putuo Islands MPA, respectively. The probability of respondents’ WTP was closely related to their individual environmental awareness, whereas the payment amount was influenced mainly by personal income. Thus, our results suggest that increasing human environmental cognition and developing differential payment schemes for the marine environment among stakeholders may promote sustainable marine protection development and management.

Online shopping for customized garments has become the fastest-growing field of the Chinese eBusiness market. Most consumers not only limit themselves to buying standardized garments but also want to buy garments customized to their preferences. This phenomenon has pushed the fashion textile and apparel industry to change its supply chain operations to meet the customization demand. Besides, the fashion textile and apparel industry also want to study how different channel factors will affect consumers' perceived value and further influence consumers' purchasing decisions. We initiated this study and empirically tested more than 200 experienced consumers. This study collaborated with a fashion textile and apparel company that aims to implement customized product lines soon. Based on the perceived value theory and risk management theory, we investigated whether product involvement and channel identification on supply chain design will affects potential customized product consumers' purchasing decisions. The findings reveal that channel recognition affects consumer decisions by having a positive impact on their perceived value. The perceived risk and shopping channel involvement of consumers have a negative impact on their perceived values and channel selections. In addition, product involvement has a moderating effect on the relationship between channel's perceived risk, perceived values, and channel selections as well.

In the field of multicriteria decision analysis, the most distinctive characteristic of the monotone measure, or called the nonadditive measure, the fuzzy measure, the capacity, is that it can adequately and flexibly describe the interactions between

In the literature [ 40 ], the authors proposed the sum interaction index and discussed its basic mathematical properties. And by some comparison analyses, the authors demonstrated that the sum interaction index can be taken as an alternative of the probabilistic interaction index to measure the interaction phenomenon of the multiple decision criteria. In this paper, we further investigate the properties of the sum interaction index with respect to some particular families of monotone measures, such as the λ -monotone measures, the possibility monotone measures, the k -additive monotone measures, the p -symmetric monotone measures, and the k -tolerant and k -intolerant monotone measures. Some illustrative examples are also given to show the comparison analyses between the sum interaction index and the probabilistic interaction index.