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The purpose of this paper is to report on a study of the movement of the powder bed material during selective laser sintering (SLS) of bisphenol‐A polycarbonate (PC) powder and its effect on the morphology of the sintered specimen.

Two sintering experiments, i.e. single‐spot laser sintering and raster‐scan laser sintering, were carried out and the material movement mechanisms were investigated in situ and subsequently by scanning electron microscopy.

During the raster‐scan laser sintering process, the movement of the powder was found to be primarily perpendicular to the scanning direction. When sintering at a high laser power, it significantly affected the surface morphology of the sintered specimens and parallel surface bands occurred along the scanning direction.

Experiments were carried out on a modified laser engraving machine rather than a commercial SLS machine.

A schematic model of the material movement mechanism for each of the sintering strategies is presented.

The results further the understanding of the sintering behaviour of the powder bed.

This paper aims to illustrate a number of instances where RP and associated technology has been successfully used for medical applications.

A number of medical case studies are presented, illustrating different uses of RP technology. These studies have been analysed in terms of how the technology has been applied in order to solve related medical problems.

It was found that RP has been helpful in a number of ways to solve medical problems. However, the technology has numerous limitations that have been analysed in order to establish how the technology should develop in the future.

RP can help solve medical problems, but must evolve if it is to be used more widespread in this field.

This paper has shown a number of new applications for RP, providing a holistic understanding how the technology can solve medical problems. It also identifies a number of ways in which the technology can improve in order to better solve such problems.

While most language departments of the university offer service-learning (SL) subjects based on language teaching, such as “Teaching Chinese as a Second Language in Local Schools” and “Serving the Community through Teaching English,” this paper aims to argue that teaching students to teach language(s) is yet to be the best strategy to serve the service recipients.

SL is widely understood as an experiential learning pedagogy that integrates academic focus, reflection and community service and is shown to be impactful. In Hong Kong, the first university that has made SL a graduation requirement is the Hong Kong Polytechnic University (the University). Considering this, new SL courses have proliferated over the past decade. Adopting a narrative inquiry approach, this paper examines personal narratives from a new SL subject aiming to raise awareness of refugees in Hong Kong. The data includes students’ reflective journals, co-created personal narratives and podcasts and semi-structured interviews.

This paper finds that crafting and recording narratives of shared experiences deepens cultural understanding, cultivates empathy and facilitates language learning in a genuine setting.

Ultimately, this paper advocates a well-designed SL that combines language, content and technology as a powerful, transformational experience for both college students and service recipients.

This paper focuses on a brand new SL course, “Storytelling for Understanding: Refugee Children in Hong Kong,” offered in Semester 1, 2022–2023. The subject was developed by the two authors from a language division affiliated to the University. The deliverables were podcast recordings, co-authored and co-edited by the students and the children.

The evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies.

A meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model.

The results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature.

The study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.

This study investigates the impact of augmented reality (AR) on consumers’ shopping process, focusing on value creation, brand engagement and purchasing intents.

This quantitative deductive study analyzed 393 questionnaires through non-probability sampling. A cross-sectional timeframe was applied; data collection took place in May 2023 to provide a snapshot of Egyptian consumers’ responses to AR. Once the needed data were collected, statistical analyses were conducted through the statistical package for social science (SPSS).

This study shows that in the shopping process, AR vividness, interactivity and informativeness lead consumers to develop utilitarian values toward the technology, and AR interactivity generates hedonic values towards the technology. When consumers sense the hedonic and utilitarian values, it impacts consumers purchase intention. Hedonic value in AR leads to consumers’ brand content consumption and creation; utilitarian value in AR leads to consumers’ brand content consumption, contribution and creation.

AR developers, brand managers and marketers may use this study to understand the current AR landscape and consumer responses toward AR (value development, purchase intention and brand engagement). With these insights, they can make better strategic decisions that include AR usage in brand marketing tactics.

This study develops conclusions to grasp more clearly and in-depth why and how AR impacts consumers’ shopping process. This study addresses various literature gaps, enhancing the understanding of AR: the salient AR attributes that offer consumers hedonic and utilitarian values and how AR influences consumer behavior, specifically when it comes to the development of brand engagement and purchase intents.

Learning to teach effectively is a complex enterprise, and many efforts have been made in order to conceptualise the challenging work of teaching by identifying fundamental teaching practices. Findings reported from structured literature reviews on lesson study have revealed that incorporating a lesson study approach in Initial Teacher Education is challenging. This chapter considers how lesson study might adapt fundamental teaching practices and make use of new tools to enhance lesson study as an approach for improving student-teachers’ teaching practice. The four tools discussed here are lesson study with given activities, practicing talk moves in lesson study, rehearsing research lessons and research lessons with time-outs. The authors argue that these activities are tools which can help student-teachers enhance their learning of the complex work of teaching when involved in lesson study cycles. To illustrate these approaches, we use examples from the teaching of mathematics.

Although service researchers have long suggested that customer mistreatment adversely impacts service employees' outcomes, statistical integration of current empirical findings has been lacking. This meta-analysis aims to review and statistically synthesize the state of research on the relationship between customer mistreatment and service employees' affective, attitudinal and behavioral outcomes.

The authors included 221 effect sizes of 135 independent samples from 119 primary studies (N = 47,964). The authors used a meta-analytic approach to quantitatively review the relationship between customer mistreatment and service employees' affective, attitudinal and behavioral outcomes. Meta-analysis structural equation modeling was used to explore the mediation mechanism of service employees' affective outcomes on the relationships between customer mistreatment and employees' attitudinal and behavioral outcomes. Meta-regression was applied to explore the impact of contextual-level moderators (i.e. service provider type and service delivery mode) on these relationships. Furthermore, we compared the effects of customer mistreatment with the effects of other organizational-related factors on some commonly measured employee outcomes.

The results show that customer mistreatment has a significant negative impact on service employees' affective outcomes (i.e. negative emotions), attitudinal outcomes (i.e. job satisfaction, organizational commitment, work engagement and turnover intention) and behavioral outcomes (i.e. job performance, surface acting and emotional labor). Additionally, service employees' negative emotions mediate the association between customer mistreatment and employees' job satisfaction, turnover intention, surface acting and emotional labor. Furthermore, the relationships between customer mistreatment and service employees' negative emotions and job performance are influenced by a contextual-level moderator (i.e. service delivery mode).

The authors contribute to the literature by providing robust meta-analytic estimates of the effects of customer mistreatment on a variety of service employees' affective, attitudinal and behavioral outcomes, as well as the different magnitudes of the effect sizes between customer mistreatment and other job-related and personality-related factors by quantifying the true variability of the effect sizes. The authors draw on current theories underpinning customer mistreatment to test a theoretical model of the mediation mechanism of service employees' affective outcomes (i.e. service employees' negative emotions) on the relationships between customer mistreatment and employees' attitudinal and behavioral outcomes. The authors explore the effects of two contextual-level factors (i.e. service provider types and service delivery mode) related to the service delivery context that may account for the variability of effect sizes across empirical studies.

Information technology has been recognized as one of the keys to improved productivity in organizations. Yet, existing research has not paid sufficient attention to how information systems (ISs) influence the creative performance of individual users. The paper aims to discuss this issue.

This study draws on the theories of flow and cognitive load to establish a model of the predicted influences. The authors hypothesize that the information technology supports creativity by engaging individuals in a creative process and by lowering their cognitive load related to the process. To test these hypotheses, the authors employ a meta-analytical structural equation modeling approach using 24 previous studies on creativity and ISs use.

The results suggest that factors that help the user to maintain an interest in the performed task, immerse the user in a state of flow, and lower a person’s cognitive load during IS use can affect the user’s creative performance.

The findings imply that a combination of the theories of flow and cognitive load complements the understanding of how ISs influence creativity.

This paper proposes an explanation on why ISs affect creativity, which can be used by scholars to position further research, and by practitioners to implement creativity support systems.

In this meta-analysis, the authors investigate the relationship between self-construal and conflict management strategies and shed light on the inconsistent findings in the literature. Moreover, they examine the mediating role of face concerns in this relationship. Importantly, the present meta-analysis is the first to test the assumptions of face-negotiation theory with the meta-analytic structural equation modeling (MASEM), which enabled the authors to test the hypothesized relationships in one single model.

The authors used the method of MASEM to test the relationship between self-construal and conflict management and assess the mediating role of face concerns. In this regard, the authors employed one-stage meta-analytic structural equation modeling to perform MASEM and its moderators.

Two hundred fifty-four effect sizes based on thirty-three studies were pooled in this meta-analysis. The authors found that individuals with stronger independent self-construal and stronger self-face concerns were more likely to use forcing. Moreover, the relationship between independent self-construal and forcing was mediated by self-face concerns. Individuals with a stronger interdependent self-construal and individuals with stronger other-face concerns were more likely to use problem-solving and yielding. The relationship between interdependent self-construal and problem-solving and yielding was mediated by other-face concerns. Finally, interdependent self-construal also had an indirect effect, via other-face concern, on avoiding and compromising.

The present meta-analysis is the first effort that the authors are aware of to test the assumptions of face-negotiation theory (FNT) using MASEM method. The authors used one-stage meta-analytic structural equation modeling viewed as the state of the methods to perform MASEM and its moderators. They employed full information meta-analytic structural equation modeling to show the generalizability and heterogeneity of structural equation modeling parameters. They applied studentized deleted residuals to assess outlier analysis and also conducted different methods to perform MASEM to check the robustness of the findings resulted. Finally, the current study adds multiple methods of assessing for publication bias.