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This study aims to explore the relationships among antecedents (i.e. quality) and outcomes (i.e. trust, support, theme awareness and extension effect) of satisfaction at the 2013 Osong Cosmetics & Beauty (C&B) Expo held in Korea.

An onsite survey with self-administered questionnaires was administered for this study. A structural equation modeling (SEM) technique was used to analyze the relationships among ten constructs in the research model.

The results indicate that hospitality and product dimensions of quality positively affect satisfaction, satisfaction exerts positive influence on trust and theme awareness, trust performs an important role as a mediator between satisfaction and support and theme awareness significantly mediates satisfaction and extension effect.

This study encourages the Expo’s organizers to manage quality attributes to ensure Expo satisfaction and to consider extension effects of Expo experiences from long-term perspectives. This study also recommends that local governments develop symbolic products with exhibitors to strengthen the association of Expo themes with regions.

The current study highlights the role of quality as an antecedent of satisfaction with the C&B Expo, which has not been well-known despite its crucial role in the industry and the regional economy. It also improves the understanding of the inherent cause–effect relationships among antecedents and outcomes of Expo satisfaction. Therefore, this study provides crucial insights that the C&B Expo could be an effective means to reach target markets and stimulate trust from visitors, which, in turn, would encourage support for the C&B industry and extension effects for C&B products as a whole.

This article aims to provide a critical review of the articles included in this special issue and highlight their findings and contribution to events, festivals and destination management research.

The article critically reviews methodologies, findings, themes and conclusions offered by each article included in this special issue.

The articles in the special issue identify the latest thematic trends in events, festivals and destination management research and propose conceptual frameworks for event and festival life cycle trajectories. They build on previous research confirming how accessible tourism and a balanced event portfolio can increase the sustainability and competitiveness of the destination. Based on sound methodologies, they offer specific theoretical and practical implication for the successful planning, marketing and management of events, festivals and destinations. They provide suggestions on how event innovation, participatory sport events, mega sport events, food and wine festivals and meetings, incentives, conferences and events (MICE) can assist in the marketing and branding of the tourism destination.

The articles in this special issue lay the foundation for future research in events, festivals and destination management. Articles in this special issue apply various research methods and analysis, indicating the growth of event and festival research. Research methods and analysis techniques used in the special issue include content/theme analysis, case studies, qualitative studies and questionnaires. The research articles and methodologies used in this issue should help both researchers and industry practitioners.

This study highlights key findings, theoretical and practical implications and contributions of the articles included in this special issue. It provides a holistic view of events, festivals and destination management research and suggests areas for future research.

This study aims to examine the current state of the research activities of scholars in the hospitality and tourism field by analyzing the first 20 years of the new millennium.

Longitudinal analyses using 14,229 journal articles as data source were realized by adopting BibExcel, Gephi and VOSviewer network analysis software packages.

This study provides a comprehensive overview of the hospitality and tourism research based on authorship and social network analysis, with patterns of prolific authors compared over four distinct periods.

The hospitality and tourism academic society is clearly illustrated by tracing academic publication activities across 20 years in the new millennium. In addition, this study provides a guide for scholars to search for multidisciplinary collaboration opportunities. Government agencies and non-governmental organisations can also benefit from this study by identifying appropriate review panel members when making decisions about hospitality- and tourism-related proposals.

To the best of authors’ knowledge, this study is the first to use bibliometric analysis in assessing research published in leading hospitality and tourism journals across the four breakout periods in the new millennium.

This study aims to develop metadata of conceptual elements based on the text structure of research articles on Korean studies, to propose a search algorithm that reflects the combination of semantically relevant data in accordance with the search intention of research paper and to examine the algorithm whether there is a difference in the intention-based search results.

This study constructed a metadata database of 5,007 research articles on Korean studies arranged by conceptual elements of text structure and developed F1(w)-score weighted to conceptual elements based on the F1-score and the number of data points from each element. This study evaluated the algorithm by comparing search results of the F1(w)-score algorithm with those of the Term Frequency- Inverse Document Frequency (TF-IDF) algorithm and simple keyword search.

The authors find that the higher the F1(w)-score, the closer the semantic relevance of search intention. Furthermore, F1(w)-score generated search results were more closely related to the search intention than those of TF-IDF and simple keyword search.

Even though the F1(w)-score was developed in this study to evaluate the search results of metadata database structured by conceptual elements of text structure of Korean studies, the algorithm can be used as a tool for searching the database which is a tuning process of weighting required.

A metadata database based on text structure and a search method based on weights of metadata elements – F1(w)-score – can be useful for interdisciplinary studies, especially for semantic search in regional studies.

This paper presents a methodology for supporting IR using F1(w)-score—a novel model for weighting metadata elements based on text structure. The F1(w)-score-based search results show the combination of semantically relevant data, which are otherwise difficult to search for using similarity of search words.

Since 1997, a quantitative revolution has swept Korean economic history and generated a new paradigm. From 1700 to 1900 the Korean economy expanded and contracted along lines suggested by Adam Smith. Economic expansion was based on productive land and a stable commodity market. The direct result was high real skilled wages. Economic contraction became clear from the mid-nineteenth century when the value of land declined, commodity prices rose, and real skilled wages fell. The contraction was apparent before the appearance of Japanese imperialism and the absorption of Korea into the international commodity market after 1876.

This study aims to the three major problems of low cleaning efficiency, high labor intensity and difficult to evaluate the cleaning effect for manual insulators cleaning in ultra high voltage (UHV) converter station, the purpose of this paper is to propose a basic configuration of UHV vertical insulator cleaning robot with multi-freedom-degree mechanical arm system on mobile airborne platform and its innovation cleaning operation motion planning.

The main factors affecting the insulators cleaning effect in the operation process have been analyzed. Because of the complex coupling relationship between the influencing factors and the insulators cleaning effect, it is difficult to establish its analytical mathematical model. Combining the non-linear mapping and approximation characteristics of back propagation (BP) neural network, the insulator cleaning effect evaluation can be abstracted as a non-linear approximation process from actual cleaning effect to ideal cleaning effect. An evaluation method of robot insulator cleaning effect based on BP neural network has been proposed.

Through the BP neural network training, the robot cleaning control parameters can be obtained and used in the robot online operation control, so that the better cleaning effect can be also obtained. Finally, a physical prototype of UHV vertical insulator cleaning robot has been developed, and the effectiveness and engineering practicability of the proposed robot configuration, cleaning effect evaluation method are all verified by simulation experiments and field operation experiments. At the same time, this method has the remarkable characteristics of sound versatility, strong adaptability, easy expansion and popularization.

An UHV vertical insulator cleaning robot operation system platform with multi-arm system on airborne platform has been proposed. Through the coordinated movement of the manipulator each joint, the manipulator can be positioned to the insulator strings, and the insulator can be cleaned by two pairs high-pressure nozzles located at the double manipulator. The influence factors of robot insulator cleaning effect have been analyzed. The BP neural network model of insulator cleaning effect evaluation has been established. The evaluation method of robot insulator cleaning effect based on BP neural network has also been proposed, and the corresponding evaluation result can be obtained through the network training. Through the system integration design, the robot physical prototype has been developed. For the evaluation of other operation effects of power system, the validity and engineering practicability of the robot mechanism, motion planning and the method for evaluating the effect of robot insulator cleaning have been verified by simulation and field operation experiments.

Type 2 diabetes mellitus (T2DM) is a worldwide health problem. Blood pressure (BP) and inflammation are well-established risk factors for the cardiovascular complications of T2DM. Genistein is known to improve endothelial dysfunction. The purpose of this study is to investigate the effects of genistein supplementation on BP, high-sensitive C-reactive protein (hs-CRP) and homocysteine (Hcy) levels in postmenopausal women with T2DM.

This randomized, double-blind, placebo-controlled clinical trial is conducted on postmenopausal women with T2DM. A total of 54 subjects aged between 47 and 69 years are divided into two groups. Participants in the genistein group (n = 28) are given two genistein capsules (each capsule contained 54 mg genistein) and those in the placebo group (n = 26) received two placebo capsules (each capsule contained 54 mg maltodextrin) daily for 12 weeks. General characteristics, BP, hs-CRP and Hcy levels are measured at the baseline and at the end of the trial.

Genistein supplementation resulted in a significant reduction in systolic BP (SBP) (p < 0.001), diastolic BP (DBP) (p = 0.020), mean arterial pressure (MAP) (p < 0.001), serum levels of hs-CRP (p = 0.005) and Hcy (p = 0.001) in genistein group compared with placebo group at the end of the study. Significant decreases are also found in SBP by 5.4%, p < 0.001, DBP by 6.7%, p < 0.001, MAP by 6.2%, p < 0.001, serum levels of hs-CRP by 47.0%, p = 0.015 and Hcy by 18.4%, p < 0.001 in the genistein supplemented group. No significant changes are observed in terms of all post-intervention values in the placebo group.

Genistein administration improved BP, hs-CRP and Hcy levels in postmenopausal women with T2DM and may be useful in control of some CVD risk factors in these subjects.

The purpose of this study is to present the overall trend and dynamics in global mergers and acquisitions activity while suggesting future research avenues in this domain. The analysis covers two aspects to examine the main contours of the domain, that is performance analysis followed by thematic cluster analysis.

Bibliometric analysis has been used for examining 1,433 publications extracted from the Scopus database to identify the research trend between 2000 and 2021. With the help of VosViewer (a bibliometric software), bibliographic coupling, citation, co-authorship, keyword and network analysis have been carried out.

The analysis reveals that most of the research on cross-border mergers and acquisitions (CBMA) is concentrated in the context of developed markets, USA and UK being the largest. Most of the research till date is confined to wealth effects, value creation, corporate governance, socio-cultural aspects and various determinants of CBMA, all from the standpoint of the acquirer.

The present study highlights numerous opportunities for future research based on empirical analysis. There exists a dearth of studies around CBMA in the context of emerging nations which provides a relatively unexplored field to carry out research work.

The study makes use of a comprehensive list of keywords to have an extensive analysis. This is a pioneering study that has used bibliographic coupling of documents for content analysis and to the best of authors’ knowledge, no previous works on cross-border acquisitions have performed bibliographic coupling for this.

The purpose of this meta-analysis is to encapsulate the outcomes and generate meaningful conclusions by examining the factors that influence consumers' purchase and non-purchase behaviour intention in a virtual reality retailing context.

This study integrates the outcomes from 52 studies, including 403 relationships involving 19,188 samples. The analysis was conducted using R-metafor and AMOS software.

The findings indicate that key factors that influence purchase and non-purchase behavioural intentions are virtual reality (VR)characteristics, virtual reality experience and consumer attitudes. VR experience is the strongest predictor for purchase decisions in virtual environment ,while consumer attitude towards VR most strongly influences the non-purchase behaviour of the consumers. Furthermore, the age of the respondents, cultural backgrounds (high vs low power distance) and gender moderate the relationship between consumers' attitudes and purchase and behaviour intentions.

Marketers can positively influence consumer attitudes and behavioural intentions by prioritizing the design of the virtual environment and facilitating unique experiences (by manipulating different sensory stimuli) in virtual retailing.

The current meta-analysis reconciles and reinforces the findings in the extant literature and provides a robust empirical generalization of the critical factors that influence consumers' purchase or behavioural intentions in a virtual retailing context.