Sustainable development coordination can facilitate the new energy vehicles (NEV) supply chain. By a coordinating supply contract, the operating costs can be reduced and supply chain competitiveness can be improved. We designed a revenue-sharing and buy-back (RSBB) contract to coordinate the supply chain with the cash-strapped retailer or manufacturer and analyzed the impact of the acceptable bankruptcy risk and own fund on the optimal order quantity, supply chain profits, and coordinating factors, including revenue share and buy-back price. Interestingly, the revenue share decreases in the acceptable bankruptcy risk, but the buy-back price increases in the acceptable bankruptcy risk when the retailer has financial constraints. However, when the manufacturer has financial constraints, the revenue share increases in the acceptable bankruptcy risk, but the buy-back price decreases in the acceptable bankruptcy risk.

Purpose: This study examines whether a higher interest alignment between online travel agencies (OTAs; hosting platform) and hotels (business owners) will intensify review manipulation activities.Design/methodology/approach: With a panel data set collected from a Chinese online travel agency and a travel search engine, the authors develop a matching-based difference-indifference approach to examine the presence of partnership-intensified review manipulation.Findings: The authors find that the ratings of agency's partner hotels (with a higher interest alignment) are abnormally higher than those of matched non-partner hotels (with a lower interest alignment), after they are benchmarked with their ratings on the search engine (without a partnership business model). Further, the analysis results indicate that this partnership-intensified manipulation deteriorates the hotel's sales performance because of damaged customer trust and satisfaction.Originality/value: Previous studies implicitly assume that review manipulator is independent from the hosting platform. This is the first study examining the role of the hosting platform in review manipulations.

Second language teaching (SLT) focuses on the cultural backgrounds of different learners. This not only facilitates the construction of knowledge using the learner’s identity, but also helps learners acquire skills for cross-cultural communication, both of which are needed for learners to develop sustainably. Sino-Korean vocabulary is an important element in the representation of Korean culture and in teaching the Chinese language to Korean speakers. In addition, it is a means of promoting the Teaching Chinese as a Second language (TCSL) to achieve sustainable development for Korean learners. Much of the research on Sino-Korean vocabulary has focused on the similarities between Chinese and Korean cultures that facilitate Korean learners’ understanding and use of Sino-Korean vocabulary, but little attention has been paid to the role played by cultural Sino-Korean vocabulary that represent the distinctive Korean culture. We collected a news corpus on six major themes from the NAVER website in Korea from between 2010 and 2020. The keywords were extracted using the TF–IDF algorithm and then transcribed and culled to form a distinctive cultural Sino-Korean vocabulary corpus. We examined the Korean Version of Experience Chinese: Living in China (Ti yan Han yu Sheng huo pian) and suggested that a collection of Sino-Korean vocabulary that are culturally distinctive to the learner’s home country can provide a more pedagogically meaningful addition to the selection of words for TCSL textbooks. These words, based on similarities, further enable Korean learners to acquire a sense of familiarity with, and belonging to, their identity, and thus acquire the Chinese language, and also facilitate expression in intercultural communication. By extracting the distinctive Korean cultural Sino-Korean vocabulary and discovering their value in terms of TCSL educational material, we can promote the sustainable development of Korean learners.

In the modern catering business model, restaurants usually use established platforms to promote their food and use two channels to sell their food: online and offline sales. We construct demand functions for online and offline, considering promotion and substitution relationships by a revised Bertrand model. We first consider three classic models: the decentralized decision model, the equilibrium decision model, and the centralized decision model. In the decentralized decision model, the platform decides both the promotional effort and the online discount; in the equilibrium decision model, the platform decides the online discount, while the food service provider decides the promotional effort. In the centralized decision model, the takeaway platform and the food service provider have maximized the overall profit as the decisive goal. We find that the online discount decreases in price when the impact factor of the online promotion is high but increases in price when the impact factor of the online promotion is low. Then, we analyze and compare the results under three models. We find that when the substitution factor is low enough, or the impactor factor of online promotion is low enough, the global optimal platform discount is higher than the equilibrium platform discount and the decentralized online discount; otherwise, the results are the opposite. In addition, the global optimal promotional effort is always higher than the optimal promotional effort in the decentralized model. When the substitution factor is low enough, or the impactor factor of online promotion is low enough, the global optimal promotional effort is higher than the equilibrium optimal promotional effort; otherwise, the result is the opposite.