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The purpose of this paper is to examine the effect of internal pores on the tensile properties of a Co–Cr–Mo alloy fabricated by selective laser melting (SLM).

The size and volume fraction of pores were controlled through high temperature annealing (HTA) and hot isostatic pressing (HIP).

After HTA, the size and fraction of pores decreased compared with the as-built SLM sample, and no pores were observed after HIP. Tensile tests of the HTA and HIP samples showed nearly similar tensile deformation behavior. From the results, the authors found that the size of the internal pores formed in the SLM process had little effect on the tensile properties. The as-built SLM sample had less elongation than the HTA and HIP samples, which would not the effect of porosity, but rather the effect of the residual stress and the retained ε phase after the SLM process.

Although pores are a main factor that influence the mechanical properties, the effect of pores on the tensile properties of Co–Cr–Mo alloys fabricated by SLM has not been studied. Therefore, in this study, the effect of pores on the tensile properties of a Co–Cr–Mo alloy fabricated by SLM was studied.

Resilient route selection for oversized cargoes, one of the general bulk cargoes, has not been adequately optimized in terms of using the Arctic route. This study solves the problem of selecting the optimal shipping routes for oversized cargoes from Busan (South Korea) to Balkhash (Kazakhstan).

The study used the consistent fuzzy preference relation (CFPR) method, which is used to solve multi-criteria decision-making (MCDM) and uncertainty problems, to tackle the route selection. This method involves three procedures: first, the critical factors and alternative routes were obtained by the previous literature and an in-depth interview of experts of oversized cargo-handling with more than 20 years of working experience; second, the weightings for each critical factor were identified using the CFPR calculation process and third, alternative routes were evaluated using weighted critical factors.

The Northern Sea Route (NSR) combined with the inland waterways of Russia and Kazakhstan was first suggested for bulk carriers that handle oversized cargoes. The NSR could be a suitable route from Busan to Cape Kamenny of the Russian transshipment seaport, where oversized cargoes will be transferred to the river barge at Cape Kamenny, covering 4,913 km from the latter to Balkhash of Kazakhstan via the Ob/Irtysh River.

This study equips stakeholders in route selection for cargoes with strategies and methods to improve transportation efficiently and enhance shipping routes between Asia and the Commonwealth of Independent States (CIS). In addition to oversized cargoes, coal and timber from Russia can be transported to Asia using inland waterways and the NSR, which can also be used to transport plant equipment for petroleum refineries among Asian countries.

This is the first study to evaluate the suitability of the Artic route for oversized cargoes from South Korea to Kazakhstan. It provides a comprehensive evaluation framework of multimodal shipping routes and offers references for decision-makers when dealing with similar problems.

This research aims to examine the consequences of customer justice perception and the role of customer affection in the context of service failure and recovery.

Survey data were analyzed using confirmatory factor analysis and structural equation modeling.

The authors' findings indicate that procedural and interactional justice perceptions significantly influence customer affection, with distributive justice perception being significant only if the failure severity is high. The present research also provides evidence for the links between customer affection and loyalty, and customer affection and word-of-mouth respectively, indicating that strengthening the emotional tie between customers and companies is crucial after service failure and recovery.

The present research makes a significant contribution by demonstrating the relationship between customer affection and other key constructs such as justice perception, customer loyalty, and word-of-mouth intention.

Customers' distributive justice perception has a significant impact on customer affection especially in a severe service failure situation. Therefore, managers may need to provide monetary compensation for service recovery in a timely manner along with apologies to enhance customer affection when customers experience a high-magnitude service failure. On the other hand, in the case of a low-magnitude service recovery, providing apologies and prompt response to service failures may be enough to win customers back.

The current findings highlight the importance of customer affection in service recovery. The effect of customers' distributive justice perception on customer affection, which is moderated by service failure severity, is also highlighted.

The aim of this paper is to propose an integrated path model in order to explore user acceptance of long‐term evolution (LTE) services by examining potential causal relationships between key psychological factors and user intention to use the services.

Online survey data collected from 1,344 users are analysed with the structural equation modelling (SEM) method.

Results reveal that satisfaction is the most crucial factor contributing to user intention to use LTE services. Other factors, including perceived usefulness, attitude, and system and service quality, also have notable impacts on user intention. Furthermore, system and service quality is affected by both perceived processing speed and perceived mobility, while perceived usefulness is primarily influenced by perceived adaptivity. In addition, four factors (perceived usefulness, adaptivity, processing speed, and system and service quality) are found to be major determinants of the user attitudes toward the services.

The present study provides valuable insights to understanding key factors that affect user perceptions of and intention to use LTE services.

Research into the autonomous use of MP3 audio recorders by students in UK higher education demonstrated that students were innovative in their autonomous use of the devices. They used them to capture learning conversations from formal and informal situations to personalise and enhance their learning. However, today smartphones and other smart devices have replaced the necessity for students to carry multiple mobile devices including MP3 recorders. This chapter builds upon the earlier work and presents a small qualitative study into how students are autonomously using their smart devices to support their learning. The research explores the hypothesis that students are being innovative in the ways in which they are using their smart devices to support their formal and informal learning. The study involved five students who own smart devices who were invited to discuss their ownership of smartphone and tablet technologies and the ways they used them in their studies. The students first completed a short questionnaire and were then interviewed in small groups. The results agree with previous research into student use of smart devices and describe autonomous engagement facilitated by personally owned smart technologies. The study identifies continuous patterns of pervasive engagement by students and concludes that more thought should be given to disruptive innovation, digital literacy and employability.

The purpose of this study is to determine the influence of technology visibility and subsequent perceptions of VFRs on consumers' intention to adopt VFRs in the online shopping context. A cross-cultural comparison was conducted to examine the different relationships among technology visibility, consumer perceptions and adoption intentions between the Chinese and Korean consumers.

Data were collected from 306 Chinese and 324 Korean consumers. The data were empirically analysed using structural equation modelling as well as multi-group comparisons.

Empirical results suggest significant influence of technology visibility on consumers' experiential and functional perceptions towards VFRs and accordingly on their adoption intention towards VFRs. Significant differences were also revealed between the Chinese and Korean consumers in their adoption behaviours towards VFRs.

The comparison was only conducted between the Chinese and Korean consumers. If two countries from two dramatically different cultures were compared, the results might be more significant.

An important implication is that enhancement of visibility is crucial for technology adoption considering its importance in shaping consumers' perceptions towards the technology.

The paper empirically tested the importance of technology visibility in consumers' new technology adoption in the VFR context from a cross-cultural perspective.

The purpose of this paper is to review the operation and maintenance practices within wind power applications and to clarify practical needs as gaps between researchers and practitioners.

The paper collects, categorizes, and analyzes the published literature of both researchers and practitioners systematically.

The paper defines significant issues in operation and maintenance of wind energy related to: site and seasonal asset disturbances; stakeholders’ requirements trade‐off; dependability and asset deterioration challenges; diagnostic, prognostic and information and communication technologies (ICTs) applications; and maintenance optimization models. Within each category, the gaps and further research needs have been extracted with respect to both an academic and industrial perspective.

The use of wind energy is growing rapidly and the associated practices related to maintenance and asset management are still lacking. Therefore, the literature review of operation and maintenance is a necessity to uncover the holistic issues and interrelationships of what has so far been published as detailed and fragmented topics to specific issues. Wind energy assets represent modern renewable energy assets which are affected by environmental disturbances, rapid technological development, rapid scaling‐up processes, the stochastic and dynamic nature of operations and degradation, the integrity and interoperability of system‐to‐support.

The paper provides a comprehensive review of research contributions and industrial development efforts. That will be useful to the life cycle stakeholders in both academia and industry in understanding the maintenance problem and solution space within the wind energy context.

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.

The purpose of this study is to consolidate the state of research in mobile commerce (m-commerce) technology adoption from 2008 to 2017. This study not only reviews the evolution of m-commerce literature but also highlights the significant contribution of authors and their productive collaborations in the development of this area.

A total of 184 peer-reviewed articles focusing on m-commerce adoption were obtained after applying search criteria on Scopus database. After using inclusion and exclusion criteria to achieve the objective of this study, 86 journals were shortlisted. The study further discusses the dispersion of various m-commerce applications being explored in m-commerce literature. In addition, dominating technology adoption theories and the most used keywords have also been identified and discussed in this study.

This study indicates that technology acceptance model and unified theory of acceptance and use of technology are the most exploited technology adoption theories. Moreover, the dominating constructs in literature are perceived usefulness, ease of use social influence/social norm on behavior intention, attitude intention followed by performance expectancy, facilitating condition and effort expectancy influence on intention.

This study presents a detailed association rule mining and community analysis to show the association among constructs such as usefulness, ease of ease, social influence and intention as dominant group in this area. The study also identifies lesser explored constructs and indicates possible future research to validate and strengthen their understanding further.