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The authors empirically evaluated the effect of price promotions on customer quality evaluations and repeat-purchase intentions in coffee chain stores. The moderating role of customer characteristics in this process was also investigated.

Consumers in 12 coffee chain stores were surveyed and 488 usable questionnaires were obtained. Relationships in the test model were examined using structural equation modeling techniques. A multiple-group solution was used to test the moderating effects of consumer characteristics.

The results of structural equation modeling analyses suggested that price-promotion activities at Starbucks in Taiwan had a favorable effect on customer quality evaluations and positively influenced repeat-purchase intentions. The moderating effects of consumer characteristics were partially supported. Whereas sex showed no significant moderating effect, consumption frequency did demonstrate a moderating effect.

The results indicate that existing customers may see price promotions at Starbucks in Taiwan as a reward or incentive, and thus lead to an increase in favorable evaluations. The findings provide a new perspective that may encourage those involved in the marketing of coffee chain stores to manage price promotions in a more strategic manner by considering customer characteristics.

The effects of price promotions on brand evaluation remain controversial and may vary among product categories. Additionally, most studies regarding price promotions have used an experimental approach, and few studies of price promotions in the coffee industry have been reported. The study is among the first to empirically examine the effects of price promotions and the moderating role of consumer characteristics in the process at coffee chain stores.

Population aging was a global trend, and the most obvious thing after aging was the change in skin appearance. Therefore, the active ingredients that delay skin aging were particularly noticed. Past studies had pointed out that Chinese herbal extracts can improve skin elasticity, reduce wrinkles and melanin precipitation. The purpose of this paper is to explore whether combining hydrolyzed collagen with Chinese herbal extracts can improve skin conditions and achieve anti-inflammatory effects.

Fifty subjects were randomly divided into collagen or placebo groups, and one bottle of collagen or placebo drink was used every day for four weeks, after which skin and inflammatory factors were tested.

In comparison with the baseline results, the skin parameters were improving after four-week intervention. In addition, the IL-6, IL-8, TNF-a were significantly decreased and tissue inhibitor matrix metalloproteinase 1 (TIMP-1) was increased after four-week hydrolyzed collagen intervention.

This study showed that hydrolyzed collagen combined with Chinese herbal extracts can improve the condition of the skin, and can also reduce inflammatory associated factors, thereby achieving anti-aging effects.

The purpose of this paper is to attempt to unlock how and why abusive supervision influences employees’ day-to-day behaviors. Thus, the present study proposes that employees who are continuously faced with a supervisor’s hostile verbal and nonverbal behavior might obstruct their willingness to exhibit two different kinds of extra-role behaviors [i.e. organizational citizenship behavior (OCB) and voice] because sustained abusive behavior might hinder employees from their tasks and result in disengagement. Abused employees are more likely to disengage from their current tasks, and this is likely to in turn result in lower OCB and voice.

The data were collected from a Taiwan mid-sized high-tech manufacturing company. The present study adopted a within-person approach (a daily-basis research design) and collected data from 60 front-line employees over 10 working days. Although all variables were self-rated, common method variance is minor. Confirmatory factor analysis (CFA) was conducted to ensure discriminant and convergent validity, and hierarchical linear modeling (HLM) was used to test the hypotheses.

The results of CFA ensure the measures have discriminant and convergent validity, while the results of HLM analysis showed that work engagement fully mediates the negative relationship between abusive supervision and the two kinds of extra-role behaviors. The bootstrapping results also support the full mediation effect of work engagement.

The present study used the job demands-resources model to examine how abusive supervision influences employees’ OCB and voice and found that work engagement is one possible mechanism between these two types of extra-role behavior. Specifically, a daily research design discovered that in a given working day, once a leader exhibits abusive supervision behavior, compared with any given day without abusive behaviors, employees will find it difficult to focus on their current tasks (i.e. through exhibiting decreased work engagement), which will in turn influence their willingness to exhibit OCB and voice on that particular day. Thus, both researchers and managers should focus on the daily interactions between leaders and employees because it is impossible to achieve organization success in one day, but rather such success is the aggregate result of both leaders’ and employees’ daily efforts.

This study aims to understand how information-sharing in live-streaming is formed through a motivational perspective. The authors provide a framework to explain how live-streaming services and attachment affect viewers' information-sharing decision.

This study uses a survey-based method to collect data and partial least squares to analyze them.

The proposed hypotheses are largely supported. The results show that information-sharing intention is influenced by both attachment to a creator and attachment to a group. These attachments are positively affected by live-streaming services. The findings contribute to live-streaming literature by conceptualizing motivation and motivational feedback as service and attachment respectively.

The findings suggest that live-streaming managers emphasize social-technical features and relationship development with others (creators, group members) to motivate viewers' participation in live-streaming.

This study addresses the gap of lacking a systematic consideration of motivation in the live-streaming context. As such, the authors conducted empirical research that describes the information-sharing through the motivation from service and feedback from attachment.

The purpose of this paper is to present an innovative approach that is proposed for developing e‐libraries with metadata to meet the need of training observation and classification skills in a mobile learning environment.

A knowledge engineering approach is proposed to assist teachers in defining metadata of e‐libraries to meet the need of training observation and classification skills. Based on the innovative approach, an e‐library of butterfly and ecology has been developed. Moreover, an experiment was conducted from March‐April 2007 on the science course “Butterfly and Ecology” at an elementary school in Taiwan. There were two teachers and 35 students participated in the experiment.

Experimental results showed that the e‐library developed with the innovative approach is able to effectively support the training of observation and classification skills for elementary school students.

Currently, the innovative approach has only been applied to the training of observation and classification knowledge. Further studies will be needed to assist teachers in defining metadata of e‐libraries for other educational objectives, such as “analysis” (the ability to separate material or concepts into component parts so that its organizational structure may be understood), “synthesis” (the ability to put parts together to form a new whole) and “evaluation” (the ability to judge the value of material for a given purpose).

With the innovative approach, personalized supports can be provided as a guide for students' learning. Moreover, students are allowed to face the real objects with technology‐rich supports during the learning process.

This paper aims to propose an innovative approach to assist teachers in using electronic libraries to develop learning activities for context‐aware ubiquitous learning, in which the learning system can detect students' behaviors and guide them to learn in the real world with personalized support from the digital world.

An electronic library with context‐awareness metadata for supporting learning activities conducted in real‐world environments is presented. Furthermore, a systematic procedure for guiding teachers in employing the electronic library to develop learning activities is proposed based on an innovative approach.

From a practical application conducted on an elementary school, it is found that, with this innovative approach, electronic libraries not only have the potential in supporting traditional in‐class or online learning activities, but also can assist teachers and digital content workers in developing high quality learning activities and related digital learning materials to support outdoor learning.

The findings of this paper imply that, to promote the utilization rate of electronic libraries for more specified purposes, more features of the application domains need to be considered while designing the database schemas of the electronic libraries.

From the feedback of teachers and digital content workers, it is found electronic libraries have high potential for supporting outdoor learning activities for “Science” and “Social science” courses with proper database schema design and the provision of user guidance.

An electronic library for supporting context‐aware ubiquitous‐learning is presented and an innovative approach for guiding teachers to design learning activities is proposed.

This research aims to analyse the current state of research on the application of Artificial Intelligence (AI) in libraries by examining document type, publication year, keywords, country and research methods. The overarching aim is to enrich the existing knowledge of AI-powered libraries by identifying the prevailing research gaps, providing direction for future research and deepening the understanding needed for effective policy development.

This study used advanced tools such as bibliometric and network analysis, taking the existing literature from the SCOPUS database extending to the year 2022. This study analysed the application of AI in libraries by identifying and selecting relevant keywords, extracting the data from the database, processing the data using advanced bibliometric visualisation tools and presenting and discussing the results. For this comprehensive research, the search strategy was approved by a panel of computer scientists and librarians.

The majority of research concerning the application of AI in libraries has been conducted in the last three years, likely driven by the fourth industrial revolution. Results show that highly cited articles were published by Emerald Group Holdings Ltd. However, the application of AI in libraries is a developing field, and the study highlights the need for more research in areas such as Digital Humanities, Machine Learning, Robotics, Data Mining and Big Data in Academic Libraries.

This study has excluded papers written in languages other than English that address domains beyond libraries, such as medicine, health, education, science and technology.

This article offers insight for managers and policymakers looking to implement AI in libraries. By identifying clusters and themes, the article would empower managers to plan ahead, mitigate potential drawbacks and seize opportunities for sustainable growth.

Previous studies on the application of AI in libraries have taken a broad approach, but this study narrows its focus to research published explicitly in Library and Information Science (LIS) journals. This makes it unique compared to previous research in the field.

This study aims to contribute to literature on mobile learning (m-learning) by proposing four research clusters whereby scholars can expand m-learning research to facilitate effective learning experiences for students.

This study reviews student-centric literature on m-learning since 2010 and presents insights on m-learning while applying well-established bibliometric techniques. Consequently, 722 articles published in the past decade were evaluated by identifying key research areas, most influential authors, countries, journals and organisations. Most influential studies based on number of citations were also examined.

Through article co-citation analysis, four clusters representing m-learning literature were identified: concept of m-learning, application of m-learning in education, designing framework for model learning/acceptance and emerging technologies.

As mobile learning (m-learning) has undergone an evolution from being an emerging field to a significant teaching and research tool, it is pertinent to explore and identify the trends of m-learning research.