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Education for sustainable development (ESD) is a developing educational concept that aims to achieve economic, social and environmental sustainability through education. Cultural sustainability education aims to cultivate awareness and protection of cultural assets, promote sustainable development and foster environmental responsibility. This study establishes a cyber-physical metaverse of cultural sustainability learning to cultivate students' motivation, multicultural identity, critical thinking and sustainability thinking.

In this study, virtual reality (VR) and 3D printing technologies were utilized to create a cyber-physical metaverse learning environment. This learning environment is designed to allow elementary school children to learn about indigenous cultures and the architecture of slate houses, as well as socio-architectural issues. Learners will be able to experience first-hand the plight of the indigenous tribal areas and the exploration of related cultural knowledge.

The study collected pre- and post-test data through questionnaires, using covariates to analyze learners' perceptions of learning. The results of this study showed that cyber-physical metaverse learning environment had a significant impact on learning motivation, multicultural identity and sustainability thinking for culturally sustainable education. However, this study’s impact on critical thinking skills in students remains to be confirmed.

This is a quasi-experimental study of a single country’s elementary school children in the indigenous area, so its findings cannot be extrapolated to other areas or to learners of different ages.

This study introduces a framework for incorporating both virtual and real cultures to promote sustainable learning. The cyber-physical metaverse learning is used to supplement teaching activities to enhance learners' motivation in learning multicultural knowledge. Students were able to recognize and protect cultural assets, as well as emphasize the importance of sustainable development.

The study integrated understanding by design-Internet of Things (UbD-IoT) education with design thinking and computational thinking to plan and design an IoT course. Cross-domain application examples were employed to train students in problem-understanding, deep thinking and logical design for IoT applications.

In this study, the UbD model was integrated with design thinking and computational thinking in the planning and design of an IoT course. The examples of cross-domain applications were used to train students to understand a problem by engaging themselves in deep thinking and helping them think and design logically for an IoT application.

The UbD-IoT learning design greatly decreased students' overall cognitive load. UbD-IoT learning has a significant impact on the performance of computational thinking in problem-solving and problem-understanding. The impact of UbD-IoT learning on logical thinking and program learning cognition in students needs to be verified.

The results of this study have shown that the UbD model is effective in reducing the cognitive load of a learning course and also strengthens T-competencies in the lateral skills of computational thinking, critical problem-solving, logical thinking and creative thinking.

Many tourism-related industries, such as hotels, use social media as a marketing tool for promotion and distribution. This paper aims to use a model that explores the impact of social media platform image (SMPI) on customers’ visit intention (VI) in a hotel context, using hotel image (HI), motivation (Mot) and anticipated service quality (ASQ) as mediators. The objectives of this study are then: to understand the interactions between the two brand images, to test the mediation effect of HI, Mot and ASQ and to investigate how this interaction contributes to customers’ VI to hotel.

This study used a convenience sampling method that targeted respondents who are willing to book a hotel using a social media platform such as Facebook and a hotel reservation website (Agoda, Airbnb, Booking.com, Hotels.com and Trivago) that have forums that allow customers to share their experiences. The survey was conducted through various social media platforms, with 349 responses being collected.

This study finds that SMPI contributes to Mot largely through HI, Mot partly mediates the relationship between HI and ASQ and Mot contributes to VI mostly through direct impact and a small part through ASQ. The findings also indicate that SMPI is less potent in terms of contributing to the later constructs if HI is low.

This research provides practical implications for marketers serving the hotel industry, and social media sites, and establishes the interrelationship between them. This research also offers insight to the hotel managers for using social media platforms to attract potential visitors because social media platforms in recent years have become significant contributors to customers’ decision-making process of booking and visiting a hotel.

This study provides results on how social media platforms can be caused to become a more effective hotel promotion channel.

The purpose of this paper is to investigate whether self‐service technology (SST) can enhance customer value (CV) and customer readiness (CR). In addition, it is proposed to inspect the effects of CV and CR in customers' continued use of Internet banking.

An online survey was used with a sample of 771 respondents. Structural equation models (SEM) were used to examine 11 hypotheses in the theoretical framework.

SST characteristics (i.e. ease of use, usefulness, costs saved, and self‐control) demonstrated positive effects on CV and CR. CR is positively related to CV. Furthermore, customers are willing to use Internet banking when CV and CR are high.

The study examines the factors contributing to positive effects on customers' continued use of Internet banking. Further research is recommended to investigate the effects of negative factors, such as risk and complexity. In addition, the same methods should be used to reproduce the survey in other industries to support generalizability.

Managers should reinforce SST in order to increase CV and CR, which would influence customers' willingness to continue using Internet banking.

Unlike previous research, the study focuses on consumers' continued use of Internet banking as opposed to initial use. It concentrates on customer retention rather than customer acquisition. It is the first study to conclude that CV and CR significantly affect continued use of SST.

The Communist revolution in China has led to the appearance in this country of increasing numbers of Chinese books in Russian translation. The Chinese names in Cyrillic transcription have presented many librarians and students with a new problem, that of identifying the Cyrillic form of a name with the customary Wade‐Giles transcription. The average cataloguer, the first to meet the problem, has two obvious lines of action, and neither is satisfactory. He can save up the names until he has a chance to consult an expert in Chinese. Apart altogether from the delay, the expert, confronted with a few isolated names, might simply reply that he could do nothing without the Chinese characters, and it is only rarely that Soviet books supply them. Alternatively, he can transliterate the Cyrillic letters according to the system in use in his library and leave the matter there for fear of making bad worse. As long as the writers are not well known, he may feel only faintly uneasy; but the appearance of Chzhou Ėn‐lai (or Čžou En‐laj) upsets his equanimity. Obviously this must be entered under Chou; and we must have Mao Tse‐tung and not Mao Tsze‐dun, Ch'en Po‐ta and not Chėn' Bo‐da. But what happens when we have another . . . We can hardly write Ch'en unless we know how to represent the remaining elements in the name; yet we are loth to write Ch'en in one name and Chėn' in another.

This paper aims to propose an innovative parametric design for artificial neural network (ANN) modeling for the multi-quality function problem to determine the optimal process scenarios.

The innovative hybrid algorithm gray relational analysis (GRA)-ANN and the GRA-Entropy are proposed to effectively solve the multi-response optimization problem.

Both the GRA-ANN and the GRA-Entropy analytical approaches find that the optimal process scenario is a stencil aperture of 57 per cent and immediate processing of the printed circuit board after exposure to a room environment.

A six-week confirmation test indicates that the optimal process has improved quad flat non-lead assembly yield from 99.12 to 99.78 per cent.