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Science is a continuum of experiences consisting of authors and their publications, and the authors’ experience is an integral part of their work that gets reflected through self-citations. Thus, self-citations can be employed in measuring the relevance between publications and tracking the evolution of research. The paper aims to discuss this issue.

Based on the bibliographic data obtained from Scopus, this study constructs and visualizes the self-citation networks of ten Nobel laureates 2018, in the fields of Physiology or Medicine, Physics, Chemistry and Economic Science, to demonstrate the evolving process of each laureate’s research across his or her scholarly career.

Statistics indicate that prominent scientists, such as Nobel laureates, have also frequently cited their own publications. However, their self-cited rates are quite low. Self-citations constitute an indispensable part of the citation system but contribute little to authors’ scientific impact, regardless of artificial self-citations. Self-citation networks present a trajectory that shows the evolving process of research across a scientist’s long-term scholarly career. There are obvious differences in self-citation patterns and network structures of different laureates without a disciplinary difference observed. The structures of self-citation networks are significantly influenced by laureates’ productivity. In addition, it is laureates’ own research patterns and citation habits that lead to the diversified patterns and structures of self-citation networks.

Only scientific achievements presented in the form of publications are investigated and other kinds of scientific output, such as patents, are not included. Moreover, this approach is fit for scientists who have had a longer career and higher productivity.

This study proves the feasibility and effectiveness of self-citation analysis as a new way to examine research evolution.

This research aims to explore the strategies and tactics taken by five-star hotels to create and sustain competitiveness at difficult times, the role of innovation among the initiatives taken and the factors that influence managers’ decision in selection of coping measures.

The research was conducted in two stages. The first stage focused on textual analysis of online news reports on luxury hotels’ coping strategies taken between 2013 and 2018. At the second stage, expert interviews were carried out with 25 managers of five-star hotels to obtain richer information of hotels’ responsive measures. The qualitative data were analyzed by thematic analysis.

The results revealed that five-star hotels in China made adjustment in physical resource management, human resource management, marketing mix, operation process and external relations to maintain competitiveness during difficult times. A model of hotel resilience was developed based on the findings. Innovation was imbedded in the responsive measures throughout these areas. Managers’ selection of coping measures was affected by the hotel’s organizational culture, location, brand image and competitors.

The model of hotel resilience serves as a useful reference to plan and select strategies and tactics to respond to similar external challenges. Hotel managers are recommended to embrace a variety of innovations directed at both internal management and customer service during challenging times.

To the best of the authors’ knowledge, this study is the first empirical research that systematically examines the measures taken by hotels during critical times to maintain competitiveness, linking these to contemporary post-Fordist operational trends.

This paper aims to study the effect of load on the tribological behaviour of Cu-based composites, so as to obtain a suitable applied load on these composites.

Cu-based composites were prepared by powder sintering with direct current electric current heating and tested by Universal Mechanical Test-3 with a ball-on-disk at room temperature.

The results showed that Cu-based composites are might suitable for working under low load. There is only mild damage on the surface under a load of 2 N. While it has microcracks and shows signs of cavitation at a certain depth at 20 N and 50 N. In addition, it is evident that there are three zones in the cross-section of the matrix, namely, a mechanical mixing layer, ceramic layer and substrate, respectively.

There are two wear mechanisms at different loads, and the evolution of worn surfaces with sliding time is also involved. Thus, the developed material can be used for light load sliding electrical contact material applications.

The purpose of this review paper is to identify the themes of hospitality and tourism innovation research published in academic and trade journals between 2010 and 2020, to explore the common and different areas of interest between academia and the industry and to examine the trends of innovation research themes during this period to suggest future research directions.

The EBSCO Hospitality and Tourism Index was used as the data source. Co-word analysis was conducted via the Leximancer software to identify key areas of interest in hospitality and tourism innovation. Trends in hospitality and tourism innovation over the ten-year period were revealed by a time-dimension analysis.

This study produced a conceptual map demonstrating focal points and trends in hospitality and tourism innovation. Trade journals were found to be dominated by product innovation driven by technological development, while academic journals covered more topics, such as employee innovation, sustainable innovation, leadership innovation and user generated content (UGC). Academia was shown to follow in the footsteps of industry in publication on several topics. Furthermore, academic interest in certain topics, such as hotel service innovation, UGC and social media, lasted several years.

This study can facilitate knowledge transfer between academia and the industry. It also provides directions for future research based on historical and comparative analysis.

This research extends the scope of existing review studies by including articles published by trade journals. It also adds a time dimension, which helps to unveil the evolution process of hospitality and tourism innovation research and practice.

The purpose of this paper is to apply the theory of perceptual image to clothing, study the effect of bra components on the perceptual image of Chinese female consumers aged 18 to 27, explore the relationship between them, promote the computer-aided bra design to be more rapid and accurate and meet consumer's needs better.

In this paper, cognitive psychology and mathematical analysis methods were used, and two experiments were conducted. A reaction time experiment was conducted based on 3D virtual bra samples, proving that bra components have an effect on the consumer's perceptual image and obtaining a revised bra component design indicator system by multi-dimensional Scaling (MDS). A projection experiment was conducted to study what kind of relationship exists between the two, and a prediction model was constructed by the quantitative I-class theory.

It is found that bra components have an effect on perceptual image of Chinese female consumers aged 18 to 27. A total of five important components (cup area, center front height, torso width, side wing width and center back shape) that affect the consumer's perceptual image were identified by MDS and references analysis, and then a bra perceptual image space composed of five pairs of words was constructed by subjective evaluation and cluster analysis. What is more, a prediction model was obtained by the quantitative I-class theory; after testing, the model can visually and effectively predict consumer's perceptual image according to bra components indicators, which provide a convenience for the positive design of bras.

In this article, the authors just studied bra components, but did not take fabric, color and other factors that also affect the perceptual image into consideration. Further research can use this method to study other important influential factors as well as their comprehensive impact. Also, the subjects are Chinese young women; consumers of other age or from other countries are not involved, and more extensive research can be done in the future.

The bra component indicator system can help to build a more systematic and clearer bra design library, which provides convenience for designers to search and use them quickly, improving the efficiency of bra design. The prediction model is also helpful to bra designers and companies. When they already design a bra, they can use this model to predict consumer's perceptual image, thus carry out more accurate market positioning and promotion. When they want to satisfy consumers or design a specific effect, they can also refer to this model to reverse design of components. In general, the outcomes of this paper can help companies to quickly establish a computer-aided bra design system, which is conducive to designers to accurately design and better meet market's needs, and the method is also a good attempt to apply the theory of perceptual image in psychology to clothing and can be extended to other relevant fields in the future.

Based on cognitive psychology, this paper attempts to apply the theory of perceptual image in psychology into clothing and takes bra as an example to study the relationship between bra components and consumer's perceptual image. The prediction model constructed here is conducive to the development of bra design and to meet personalized needs of consumers. This method can also be extended to other fields in the future.

Despite the burgeoning popularity of virtual gifting in live streaming, research lacks an in-depth understanding of the drivers behind this behavior. Using para-social relationship (PSR), this study aims to capture viewers’ lively social feelings toward the streamer as the key factor leading to the purchase behavior of virtual gifts. It also aims to establish a theoretical link between PSR and viewers’ holistic experience in live streaming as captured by cognitive absorption and aims to investigates the role of technological features (i.e. viewer–streamer and viewer–viewer interactivity, streamer-level and viewer-level deep profiling and design aesthetics) in shaping viewers’ experience.

Based on 433 survey responses, this study employs a combination of structural equation modeling and neural networks to offer valuable insights into the relationships between the technological environment, viewer experience and viewer behavior.

Our results highlight the salience of PSR in promoting the purchase of virtual gifts through cognitive absorption and the importance of the technological environment in eliciting the viewer experience. This study sheds light on the development of PSR in a technological environment and its relationship with cognitive absorption.

By applying PSR to conceptualize viewers’ perceived connection with the streamer, this study extends the research on purchase behavior in the non-shopping context by providing an enlightened understanding of virtual gift purchase behavior in live streaming. Moreover, by theoretically linking PSR with cognitive absorption, virtual gift purchase and technological features of live streaming, it enriches the theory of PSR and bridges the gap between the design practice of supporting the IT infrastructure of live streaming and research.

This paper aims to investigate the relationships between motivation and intention to consume local food and between intention to consume local food and intention to visit the destination of that food's origin while examining the moderating effect of risk perception associated with coronavirus disease 2019 (COVID-19).

Data were collected from two samples of potential Chinese tourists in the contexts of Italian and Thai food. Data obtained from 264 Chinese respondents for Italian food and 277 Chinese respondents for Thai food were analyzed. Partial least squares structural equation modeling was utilized to test the research model.

The results indicate that, while motivational factors such as cultural experience, novelty and sensory appeal influence potential Chinese tourists' intention to consume Italian food, motivational factors such as cultural experience, health concern, novelty and sensory appeal influence tourists' intention to consume Thai food. The authors found that intention to consume local food positively influences tourists' intention to visit both destinations (Italy and Thailand). Moreover, tourists' risk perceptions of COVID-19 negatively moderate the effect of cultural experience and novelty on the intention to consume Italian food. Regarding the intention to consume Thai food, the authors found that tourists' risk perceptions have a diminishing effect on all motivational factors.

This pioneering study examines the role of COVID-19-related risk perception on the relationships among motivation of local food consumption, intention of local food consumption and destination visit intention in the context of two destination countries. It reveals cross-country differences of the negative effect pertaining to the risk perceptions of COVID-19, which has important implications for international destination marketing.

Rapid prototyping (RP) technology is widely used in many fields in recent years. Bone tissue engineering (TE) is an interdisciplinary field involving life sciences, engineering and materials science. Hydroxyapatite (HAp) are similar to natural bone and it has been extensively studied due to its excellent biocompatibility and osteoconductivity. This paper aims to review nanoscaled HAp-based scaffolds with high porosity fabricated by various RP methods for bone regeneration.

The review focused on the fabrication methods of HAp composite scaffolds through RP techniques. The paper summarized the evaluation of these scaffolds on the basis of their biocompatibility and biodegradability through in vitro and in vivo tests. Finally, a summary and perspectives on this active area of research are provided.

HAp composite scaffold fabricated by RP methods has been widely used in bone TE and it has been deeply studied by researchers during the past two decades. However, its brittleness and difficulty in processing have largely limited its wide application in TE. Therefore, the formability of HAp combined with biocompatible organic materials and fabrication techniques could be effectively enhanced, and it can be used in bone TE applications finally.

This review paper presented a comprehensive study of the various types of HAp composite scaffold fabricated by RP technologies and introduced their potential application in bone TE, as well as future roadmap and perspective.

The purpose of this study was to examine hospitality revenue management (RM) research in the recent decade, to identify emergent issues/topics and suggest directions for future research.

A systematic process of literature review involving content analysis was adopted. The process involved searching for published articles in three major online databases for hospitality and tourism journals, evaluating and selecting the relevant articles, analyzing and synthesizing the findings of the selected papers and organizing the findings to determine what is known and what is yet to be known.

The paper established a broad range of topics that have engaged the attention of hospitality and tourism researchers in contemporary times. These topics were structured into seven major themes constituting the core activities of hospitality RM process and another eight themes covering the factors influencing the practice of RM.

The classification of the literature into core activities of RM process and factors influencing RM serves as a useful guide for practitioners and academics to trace relevant literature on various aspects of RM and to visibly notice the gaps in the existing literature.

By developing an RM framework and using it to evaluate existing literature, this study brings cohesion into the hospitality and tourism RM literature.

The purpose of this paper is to focus on the operation strategy of high-performance alliance portfolios by analyzing the effect of alliance portfolios on the performance of focal firms, using post-structuralism of social network theory and contingency theory. In detail, this paper refines alliance portfolios into three dimensions, and studies the moderating role of context on the relation between alliance portfolios and firm performance.

The empirical study was carried out with second-hand data gathered from Internal Revenue Service. In total, this paper gathered data from 506 focal firms in Zhejiang Province from 2001 to 2010 as the sample to test the hypotheses.

Based on the empirical results, the authors find the positive effect of relational dimension (weak alliance portfolios) and partner dimension (the diversity of partners) on performance. The effect of the former will become weaker with the increasing environmental dynamic, while the effect of the latter will become stronger. However, the structural dimension (alliance portfolios size) and relational dimension (new partners) have the negative effect on performance. And the negative effect will become stronger under high environmental dynamic. Moreover, the negative effect of non-local partners on performance becomes stronger when the environmental dynamic is high.

The paper reveals that with the industry transformation caused by “internet +,” companies have been required go beyond traditional dyadic alliance management perspective. That is to say, individual alliance relationship should be seen as a part of a much broader picture of alliance portfolio. As such, the framework may help companies to manage their alliance portfolios by matching high-performance alliance portfolios to the external environment to produce a synergistic effect (Lea et al., 2006; Tritos et al., 2013; Keith et al., 2014) taking the characteristics of the configuration of alliance portfolios into consideration.

The paper presents a model that explains the effect of three dimensions of alliance portfolios on the performance of focal firms in different contexts through empirical study. This paper also integrates post-structuralism of social network theory and contingency theory to enable the understanding on the configuration of alliance portfolios.