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This study aims to integrate and revalidate previously proposed various structural models in understanding residents’ attitudes and behaviors in relation to mega-events before the events.

This study focussed on the 2022 Beijing Winter Olympics and used a questionnaire-based quantitative survey prior these events. A PLS-SEM analysis was run on a sample of 473 residents, in testing relationships between residents’ trust, perceived impacts, support for hosting and subjective well-being.

Results revalidate propositions from previous research, but suggest key contextual differences in light of biosecurity risks. Residents’ perceived positive (cultural) and negative (environmental) impacts affect their support for mega-events, and their perceived positive (economic and cultural) and negative (social) impacts affect their subjective well-being. Variances in the relationships were found for those who perceive a high biosecurity risk.

The data were collected from one mega-event, and thus the findings of this study are highly contextualized.

This research suggest that mega-event organizers should put effort into promoting the benefits of hosting mega-events and work collaboratively with stakeholders to reduce potential negative costs and risks as well as increase resident well-being via bringing in economic and cultural benefits.

This research focusses on social well-being during and post COVID in relation to the hosting of a mega-event.

The data were collected from the 2022 Beijing Winter Olympics, a mega-event that, because of COVID-19 and restricted spectator flows, potentially had characteristics quite different from that of other Winter Olympics or sporting mega-events.

Metadata are fundamental in establishing a digital library and museum while domain communities describe, interpret and manage different digital objects. Although many metadata formats and sets have been developed, it is difficult to choose an appropriate format and conversion is problematical, especially for the Chinese materials. This paper is a progress report from the Metadata Taskforce Group designing Chinese metadata for the digital library and museum project (DLMP) at Academia Sinica in Taiwan. The group’s top priority is to construct goals, principles and procedures while designing the metadata format for Chinese contents. Not only does the Metadata Taskforce Group present the analysis of content attributes of Formosan Plain indigenous people, but also several marked achievements and findings are suggested, such as the metadata record structure and criteria of selecting and evaluating the current metadata formats.

The pandemic has accelerated the use of virtual learning spaces and led to rethinking post-pandemic course delivery. However, it remains unclear whether students’ online engagement in e-servicescapes can influence attachment to a place, i.e. a physical servicescape. This study conducted an exploratory study to inform place attachment and actor engagement literature in an online service context.

Quantitative survey design was used and 98 usable responses were collected from undergraduate and postgraduate students at a major New Zealand university during the COVID-19 pandemic in 2020. The questionnaire consisted of 23 items relating to three dimensions of online student engagement and 19 items referring to six dimensions of campus attachment.

Results of the exploratory study indicate that classmate community in online lectures, referring to student–student interactions, can positively influence five of the dimensions of campus attachment, including place identity, place dependence, affective attachment, social bonding and place memory, even though students are physically not on campus. However, it cannot influence place expectation. Moreover, instructor community (student–instructor interaction) and learning engagement (student–content interaction) in online lectures have insignificant impact on campus attachment.

This study emphasises the social dimension when interacting in e-servicescapes. Person-based interactions are more influential than content-based interactions for student engagement. Educational service providers should integrate the e-servicescape and the physical servicescape by encouraging more student–student interactions to contribute to service ecosystem well-being at the micro, meso and macro levels.

This study indicates that customer-to-customer interaction serves to integrate customer engagement across the digital and physical realms for process-based services like education.

Consequence prediction is an emerging topic in safety management concerning the severity outcome of accidents. In practical applications, it is usually implemented through supervised learning methods; however, the evaluation of classification results remains a challenge. The previous studies mostly adopted simplex evaluation based on empirical and quantitative assessment strategies. This paper aims to shed new light on the comprehensive evaluation and comparison of diverse classification methods through visualization, clustering and ranking techniques.

An empirical study is conducted using 9 state-of-the-art classification methods on a real-world data set of 653 construction accidents in China for predicting the consequence with respect to 39 carefully featured factors and accident type. The proposed comprehensive evaluation enriches the interpretation of classification results from different perspectives. Furthermore, the critical factors leading to severe construction accidents are identified by analyzing the coefficients of a logistic regression model.

This paper identifies the critical factors that significantly influence the consequence of construction accidents, which include accident type (particularly collapse), improper accident reporting and handling (E21), inadequate supervision engineers (O41), no special safety department (O11), delayed or low-quality drawings (T11), unqualified contractor (C21), schedule pressure (C11), multi-level subcontracting (C22), lacking safety examination (S22), improper operation of mechanical equipment (R11) and improper construction procedure arrangement (T21). The prediction models and findings of critical factors help make safety intervention measures in a targeted way and enhance the experience of safety professionals in the construction industry.

The empirical study using some well-known classification methods for forecasting the consequences of construction accidents provides some evidence for the comprehensive evaluation of multiple classifiers. These techniques can be used jointly with other evaluation approaches for a comprehensive understanding of the classification algorithms. Despite the limitation of specific methods used in the study, the presented methodology can be configured with other classification methods and performance metrics and even applied to other decision-making problems such as clustering.

This study sheds new light on the comprehensive comparison and evaluation of classification results through visualization, clustering and ranking techniques using an empirical study of consequence prediction of construction accidents. The relevance of construction accident type is discussed with the severity of accidents. The critical factors influencing the accident consequence are identified for the sake of taking prevention measures for risk reduction. The proposed method can be applied to other decision-making tasks where the evaluation is involved as an important component.

The purpose of this study is to determine the competency characteristics required for the employment of master’s degree students in educational technology.

A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were extracted from Chinese recruitment apps, national recruitment websites and university training programs. Ten senior teacher experts who teach educational technology master’s students were consulted through a questionnaire consultation to validate the proposed competency model. The weights of competency characteristics were determined through a combination of the analytic hierarchy process and entropy method.

The results show that when recruiting educational technology master’s students, more emphasis is placed on operational skills. The majority of companies tend to assess practical abilities rather than theoretical knowledge. Relevant knowledge of educational technology, psychology, computer science and education is considered to be the basic knowledge components of educational technology master’s students, while professional skills are the core skills required for their positions. Therefore, universities need to focus on training, educational technology graduate students in these areas of competence. The study also found that professional qualities (such as physical and mental fitness) and personality traits (interpersonal communication and interaction) receive more attention from companies and are essential competencies for educational technology master’s students.

A competence model for educational technology master’s students is proposed, which includes aspects such as knowledge, personal skills/abilities, professional qualities and personality traits. The competence elements included in this model can serve as reference indicators for universities to cultivate the competence of educational technology master’s students, as well as reference points for recruiting units to help them select talents. This represents a new dimension in research related to the employment of educational technology master’s students. The study enriches the research objects and competence dictionary in the field of competence research.

This paper aims to examine the event attendance motives and the underlying mechanism through which event attendance motives influence positive word-of-mouth (PWOM) and revisit intentions. It also investigates how event attendance motives differ by gender.

A self-completed survey administered in English among visitors to the 2016 Olympic Games generated 230 valid responses. Partial least squares-based structural equation modeling was applied to test research hypotheses.

Event attendance motives of esthetics and escape positively influence host city evaluation. Host city evaluation positively influences PWOM and revisit intentions. Host city evaluation mediates the relationship between event attendance motives (esthetics and escape) and behavioral intentions (PWOM and revisit intentions). Male Olympic tourists show significantly lower means in the motives of social bond and escape when compared with female Olympic tourists.

This study adds to the body of knowledge concerning Olympic tourists, their motives and behavioral intentions. Research findings indicate that event attendance motives influence PWOM and revisit intentions through the mediating effect of host city evaluation. Considering the noticeable paucity of gender analysis weakens the understanding of the Olympic tourist behavior, this study contributes to the literature by examining gender differences in Olympic attendance motives.

This paper aims to develop an integrated and portable desktop 3D printer using direct extruding technology to expand applied material field. Different from conventional fused deposition modeling (FDM) which uses polymer filaments as feedstock, the developed system can fabricate products directly using polymer pellets. And its printing properties are also investigated.

A conical screw-based extrusion deposition (CSBED) system was developed with a large taper conical screw to plasticize and extrude fed materials. The 3D printer was developed with assistance of precision positioning and controlling system. Biocompatible thermoplastic polyurethane (TPU) pellets were selected as raw materials for experiments. The influences of four processing parameters: nozzle temperature, fill vector orientation, layer thickness and infill density on the product’s internal structure and tensile properties were investigated.

It is concluded that the customized system has a high manufacturing accuracy with a diminutive global size and is suitable for printing soft materials such as TPU. Theoretical calculation shows the developed conical screw is more effective in plasticizing and extruding compared with conventional screw. Printed samples can achieve applicable tensile properties under harmonious parameter cooperation. Deposited materials are found to have voids among adjacent roads under unbefitting parameters.

The developed system efficiently improves material limitations compared to commercial FDM systems and exhibits great potential in medical field because soft materials such as biocompatible TPU pellets can be directly used.

This paper examines the relationship between linguistic profiling and English language teachers’ career development.

This paper collected data from 20 participants using a qualitative approach. Semi-structured interview guides were used to collect qualitative data on this topic.

After collecting and analyzing the data, the results showed that linguistic profiling results in demotivation and low self-esteem and can spur career development among non-native English teachers.

This paper advances scientific knowledge by providing empirical evidence showing that while linguistic profiling has some negative influences, it can spur career development among non-native English teachers.

Bird strike risk (BSR) evaluation is a significant part of the avian radar system worldwide installed and operated at airports. The paper aims to discuss these issues.

This paper proposed a method using the real-time avian radar data to evaluate BSR with the estimations of bird strike probability and severity. The probability estimation model considered the attributes of the relative positions of the flock and the runway, the altitude of the flock and the aircraft, the flight path of the aircraft, and the ability of the bird species to avoid collision. The severity was estimated by the combination of the Delphi method and the analytic hierarchy process (AHP), called DAHP, which took full advantage of the expert knowledge and quantitative calculation.

The model was tested successfully on the simulated data at Beijing Capital International Airport (BCIA) with three runways and real data at Beihai Fucheng Airport (BFA) with one runway.

The BSR evaluation model was specifically designed for the airports with avian radars. It enabled the airport managers to objectively evaluate the risk in real time and to take effective measures.

The proposed BSR evaluation model was constructed with the real-time features of birds and aircraft based on the DAHP framework, providing scientific guidance for aviation safety and environmental management at the airport.