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Advances in technology have led to continuous innovations in teaching and learning methods. Ubiquitous-learning (u-learning) practices are still in the development stages. The current lack of effective learning strategy tools means that students often experience difficulty focusing on the learning objectives. Little research has been done on the educational benefits of integrating augmented reality (AR) technology running on tablet PCs (TPCs), either in the classroom or in a u-learning environment. Still, classroom instruction using TPCs has been shown to be attractive to students and able to effectively increase their motivation to learn. The paper aims to discuss these issues.

This paper uses a TPC game (an app called SkyView) to help young students understand the theory and practically implement the astronomy concepts of prograde and retrograde motion. The study design is based on the use of AR technology, and the authors divide students into “tablet PC application” (experimental group) and “astrolabe” (control group) games. The authors investigate whether the experimental group surpasses the control group in terms of learning motivation, flow experience (FE), self-efficacy regarding technology, self-efficacy regarding science, positive feelings about the learning experience, and satisfaction with the learning approach (SL).

The findings show that students in the experimental group performed better in regards to learning achievement. In general, the improved FE helped students enjoy the learning activity to the point that they did not notice the passage of time. In regards to SL, the findings show that the students in the experimental group had an increased willingness to use the TPC to learn.

There is a lack of research investigating the effects of the FE with tangible and AR technology in learning environments. The results of this study show the responses and performance of elementary students who participated in such a learning experience, in terms of their feelings regarding the method and tools, and in terms of their motivation, willingness to learn, and actual learning achievement.

Given the increasing intensity of highly competitive markets, this study aims to evaluate the effect of salespeople's emotional regulation, adaptive selling and customer-oriented behavior on sales performance.

A research model was tested by using a sample of 288 respondents from the logistics industry in Taiwan. Structural equation modeling was used to examine the relationships between emotional regulation, adaptive selling, job resourcefulness, customer-oriented behavior and sales performance.

The results indicate that emotional regulation, adaptive selling and job resourcefulness can improve customer-oriented behavior, and that customer-oriented behavior and job resourcefulness can enhance sales performance. By highlighting the role of job resourcefulness, the authors find a positive moderating effect among these four dimensions.

The findings can help salespeople integrate customer-oriented behaviors into strategic changes to regulate their own emotions and those of others to productively address and resolve difficult business conditions. The theoretical and managerial implications of this work's contributions to international logistics are also discussed.

This chapter derives sentiment indicators (implied volatility and implied skewness) from the option pricing models of Corrado and Su (1996), Bakshi, Kapadia, and Madan (2003), and Zhang, Zhen, Sun, and Zhao (2017), and then integrates these sentiment indicators with artificial intelligence deep neural network (AIDNN) for developing the behavioral finance AIDNN (BFAIDNN) algorithms. We apply the BFAIDNN algorithms to daily derivatives data of Taiwan Futures and Options markets from 2015 to 2017. Our results demonstrate that the trading strategies established by the BFAIDNN algorithms can generate positive rewards.

The purpose of this paper is to attempt to assist firms in applying knowledge management (KM) through developing an integrated model which considers knowledge enablers, knowledge circulation processes (KCP), and job performance.

This study utilizes a questionnaire technique to validate the proposed integrated model. Structural equation modeling also validated the model.

All dimensions in the construct of organizational culture positively impact KCP. However, the formalized organizational structure appears to have a positive impact on KCP, while the autonomous organizational structure did not. This study also finds that KCP has a positive impact on both task outcomes and contextual job performance.

The integrated model, which served to examine the impact of KM enablers on KCP, from the standpoints of organizational culture and organizational structure, along with the impact of KCP on job performance, has improved understanding of the relationships among KM enablers, KCP, and job performance.

Firms should carefully consider methods for adjusting internal structural designs or institute various mechanisms to promote the use of KM to maintain the organization's long-term competitive advantage.

The model contributes to firms’ understanding the influence of knowledge enablers on KCP, and provides a KM performance index for assessment of individual performance. Research results can provide enterprises with guidance for implementing initiatives for KM initiatives.

The Sexton et al.’s (2006) safety attitudes questionnaire (SAQ) has been widely used to assess staff’s attitudes towards patient safety in healthcare organizations. However, to date there have been few studies that discuss the perceptions of patient safety both from hospital staff and upper management. The purpose of this paper is to improve and to develop better strategies regarding patient safety in healthcare organizations.

The Chinese version of SAQ based on the Taiwan Joint Commission on Hospital Accreditation is used to evaluate the perceptions of hospital staff. The current study then lies in applying importance-performance analysis technique to identify the major strengths and weaknesses of the safety culture.

The results show that teamwork climate, safety climate, job satisfaction, stress recognition and working conditions are major strengths and should be maintained in order to provide a better patient safety culture. On the contrary, perceptions of management and hospital handoffs and transitions are important weaknesses and should be improved immediately.

The research is restricted in generalizability. The assessment of hospital staff in patient safety culture is physicians and registered nurses. It would be interesting to further evaluate other staff’s (e.g. technicians, pharmacists and others) opinions regarding patient safety culture in the hospital.

Few studies have clearly evaluated the perceptions of healthcare organization management regarding patient safety culture. Healthcare managers enable to take more effective actions to improve the level of patient safety by investigating key characteristics (either strengths or weaknesses) that healthcare organizations should focus on.

Customer firms and suppliers are valuable knowledge resources that can be used for achieving superior new service development (NSD) performance. This study aims to investigate how supply chain relationship quality (SCRQ) and knowledge sharing promote the success of NSD, and examines service modularity as an important contingency factor that enhances NSD performance in supply chains.

Based on service-dominant logic, this study builds a conceptual model to empirically explore the impacts of SCRQ and knowledge sharing on NSD performance, and highlights the moderating effect of service modularity by means of survey methodology of 295 Chinese service firms to test the research hypotheses.

Regression analysis results show that SCRQ has significant positive effects on knowledge sharing and NSD performance; knowledge sharing plays a partial intermediary role between SCRQ and NSD performance; and service modularity partially moderates the relationships between SCRQ, knowledge sharing and NSD performance.

Generalizations here are limited to Chinese service firms. Service modularity in manufacturing firms experimenting with servitization has yet to be examined and provides a good avenue for future research.

This study contributes to service management literature by providing empirical understanding of how service modularity affects NSD performance in multiprovider contexts. Furthermore, this study offers novel insights on the impacts of inter-firm relationship quality and knowledge sharing in modular collaborative innovation.

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.

The purpose of this paper is to examine the potential impacts of various variables on product return activities after online shopping. Previous studies on customer behaviour have been predominantly concerned with return on used products and other product-quality-related constructs in the model. This study aims to specially examine the logistics service-related and customer intention–related variables for general products under the e-commerce circumstance.

Structured questionnaire data for this study were collected in the two southeast cities of China (162 useable responses). Structural equation modelling was used to examine the latent variables.

The results confirmed that product return intention has the greatest impact on online shopping returns with a direct effect of 0.63, followed by the flexibility in return (logistics service) with a direct effect of 0.49.

Such a model not only enriches the theoretical understanding of customer behaviour studies but also offers online shopping stores and platforms a quantitative benchmark and new perspective on the design of online shopping supply chains by considering product returns so as to improve the customer satisfaction.