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With the emergence of mobile devices, factors such as interaction and ubiquity have become increasingly important in the use of social media networks. However, regarding hotel guests’ use of social media, knowledge about how those factors contribute to guests’ continued social media use remains limited. The purpose of this study is to examine the influence of interaction and ubiquity mediated by trust, benefits and enjoyment on hotel guests’ continued use of social media networks.

To examine the hypotheses, a self-administered questionnaire was posted by ten UK hotels on their social media pages. A total of 258 usable data were collected and analyzed using partial least squares analysis.

Two social media characteristics – interaction and ubiquity – influenced hotel guests’ continued use of social media via the mediating variables of trust, benefits and enjoyment.

This study bridges the gap in research regarding intended continued use of social media networks by offering new empirical evidence concerning the determinants of hotel guests’ continued use of social media.

Augmented reality (AR) is increasingly used in cultural heritage tourism sites for the enhancement of the tourist experience. However, behavioral intention to adopt AR is dependent on cultural traits, and close investigation is required on cultural differences. To explore these cultural differences and the effect on AR acceptance in cultural heritage tourism sites, this study aims to focus on the aesthetic and hedonic characteristics of AR applications.

Data were collected in two countries with strong contrasts in Hofstede’s cultural dimensions to explore cultural differences in AR acceptance. In total, 145 questionnaires were collected in Deoksugung Palace, South Korea, and 119 questionnaires were collected in the An Post Museum, Republic of Ireland. Data were analyzed using PLS Graph 3.0.

The findings confirmed that the aesthetics of AR have a strong influence on perceived enjoyment. Furthermore, this study supported the notion that high power distance, collectivism and high uncertainty avoidance culture such as South Korea’s perceives stronger dependence on social influence and the hedonic characteristics of AR.

AR innovation and marketing within the hospitality and tourism industry requires an understanding of cultural differences to ensure successful implementation. In addition, tourism and hospitality managers need to ensure that the needs and requirements of different target markets are met.

This study applied Hofstede’s cultural dimensions to explore the differences between two very distinct countries with regard to AR acceptance. The findings provide important implications for the implementation of tourism AR applications for different countries, especially considering international target markets.

First, this paper aims to investigate the impact of impulsiveness on two types of shopping value (e.g. utilitarian and hedonic value) and the urge to buy restaurant products and services impulsively in social commerce environments. Second, the study assesses the impact of situational factors (e.g. scarcity and serendipity) on individuals’ shopping values.

Data were collected from 332 participants. By using PLS-graph 3.0, structural equation modeling was conducted. Furthermore, a hierarchical regression model was conducted for testing the mediating and moderating effects.

The results indicate that impulsiveness is a strong predictor for two types of shopping value (hedonic and utilitarian) and the urge to buy impulsively. While the hedonic shopping value was found to have a significant influence on the urge to buy impulsively, utilitarian value was not. Scarcity was moderator in the relationships between impulsiveness and both types of shopping value, whereas serendipity was found to moderate only the relationship between impulsiveness and the utilitarian shopping value.

The findings show that the marketing managers and application developers of social commerce should place their focus on scarcity and serendipity to stimulate consumers in having a hedonic shopping value so to have an urge to buy impulsively.

First, although most previous studies focused on only rational or planned consumption, this study focused on irrational and unplanned consumption as well. Second, the authors assessed the role of situational factors (scarcity and serendipity) occurring in social commerce and asserted that these factors moderate the relationship between consumers’ shopping values and their urge to buy impulsively.

The main purpose of this study is to investigate the impact of service robots on hotel visitors' behaviour and to verify the role of anthropomorphism(human likeness) in customer satisfaction with robots.

An online survey of 381 respondents was conducted, divided into three types of robots according to the level of anthropomorphism. The research model was thoroughly tested using the PLS-SEM method. Research model was tested thoroughly using the PLS-SEM method.

This study found that user satisfaction with service robots in a hotel had a positive impact on user satisfaction, attitude towards the hotel and room purchase intention. Moreover, our results showed that users were most likely to accept medium-human likeness robots and least likely to accept high–human likeness robots.

This study proposes influencing factors to be considered when researching hotel service robots, as well as practical suggestions for any hotel intending to use or currently using a service robot.

This paper aims to explain a guest’s purchase decision in Airbnb from the perspective of Aristotle’s appeals. In host-created information, the authors investigate which information appeals are significantly considered by guests.

It is hypothesized that a guest’s purchase would be affected by the host-created information’s ethos, pathos and logos.

For the ethos, the super host badge and host review have positive impacts on the purchase; for the pathos, the positive impact of the use of social words is significant. For the logos, the authors have determined that although the price, place picture and star-rating have positive impacts on the likelihood of a purchase, the occupancy has a negative impact on it.

The dependent variable, the number of place reviews, cannot represent the exact number of purchases. Other possible influential factors, such as direct communications between hosts and guests, are not examined.

The findings suggest guidelines for Airbnb and its host users. Specifically, the management of normal host users is revealed as a necessary process for Airbnb’s development. For host users, several guidelines on how to attract more guests effectively are provided.

In contrast to other studies on Airbnb, various pieces of information are considered from holistic perspectives, and each piece’s impact on the sharing behavior is understood by means of a unique theoretical model that is based on Aristotle’s appeals.

Social commerce using social media has been on the rapid increase. Among various social commerce models, group-buying has become the mainstream. There is a paucity of research related to how customers perceive value in group-buying situations. This paper aims to examine and analyze various factors that influence perceived customer value in group-buying.

Data were collected using a survey on customers who had purchased a restaurant service deal on a group-buying site. A partial least squares technique was used to estimate the model.

Results show that perceived customer value affects customers’ group buying intentions and that all four antecedents of perceived value (low price, valence of experience, trust in social media and reputation of the group-buying site) have a significant influence. Implications and further research directions are discussed at the end of the paper.

This study provides valuable strategic implications for social commerce firms.

This study aims to investigate the effects of a prospective traveler’s perception of media exposure on their intention to visit a destination (i.e. South Korea). Cultural exposure to a particular country through media affects people’s preference for that foreign country, and may ultimately be a function of the behavior for consuming that country’s cultural products – e.g. traveling to that country. Media exposure has been recognized as a major underlying reason for the desire to visit a destination.

This study examines the impacts of potential travelers’ media exposure in three different language-use groups (i.e. English, Japanese and Chinese) and their perception of the media exposure on their intention to visit the actual site (i.e. South Korea). To enhance the understanding of the intention to visit the destination, this study proposes a research model based on use and gratification theory and the belief–desire–intention model.

Mass and social media exposure had an effect on the intention to visit a destination as a result of the gratification and desire experienced through the content.

This study suggests the synthesis of the use and gratification theory and the belief–desire–intention model and an examination of theoretical and practical implications.

This study involved a sample of users of destination marketing sites. In addition, this study investigated the users’ intentions to visit a real tourism destination taking into consideration mass media (traditional media) and social media (new media) based on the use of gratification theory and the belief–desire–intention model. Practically, the findings highlight the crucial role of social media in the intention to visit the tourism destination.

The purpose of this paper is to examine the production of smart tourism knowledge, thereby revealing the development of the concept through collaborative networks.

A bibliometric analysis, which enables visual mapping and observation of the domain, was conducted using journal articles retrieved during the period of 2000 to 2018.

The understanding of smart tourism is shaped and enhanced through collaborative network of researchers. As the domain develops, its reach expands across different networks as well as core themes.

Data for the study was generated from English-written journal articles that were produced from a database search of specific keywords associated with smart tourism.

Findings can prove useful to academic researchers and industry practitioners to aid their understanding of smart tourism research development, identify the underlying context and aid in coherent development of the concept.

The paper is one of the first articles to provide a greater understanding of smart tourism as a research topic by examining its evolution in an academic context through bibliometric analysis.

本论文对智慧旅游相关知识进行审阅, 并通过协作网络对其概念发展进行梳理。

本论文采用Gephi文献计量分析方法, 对其相关领域的发展进行视觉化处理, 构建出发展图。研究样本为2000年至2018年发表的期刊文章, 通过在线搜索数据库获得。

通过研究者之间的协作网络, 本论文研究结果对智慧旅游的认识清晰形成并且更加深刻。自智慧旅游领域发展以来, 其发展扩展到不同网络以及多个核心主题。

研究样本只局限于数据库中的英文期刊文章, 以及采用有限的智慧旅游的关键词搜索。

研究结果对学术学者和业界人士有着深刻效用, 以帮助他们对智慧旅游研究发展构筑清晰理解, 找到其研究背景以及概念发展的核心过程。

The purpose of this paper is to investigate what triggers tourist’s use of geotag as an information sharing tool in social media.

This study divided tourists’ goals into task-involved goals (enjoyment of geotags and altruism) and ego-involved goals (anticipated extrinsic reward and desire for attention), and then examined the influences of these goals on their geotag satisfaction and information-sharing behavior by using PLS-Graph 3.0.

Whereas the anticipated extrinsic rewards, altruism, and enjoyment of geotags were found to influence their geotag satisfaction, desire for attention was not. Enjoyment of geotags was found to be the strongest predictor of tourists’ geotag satisfaction, which in turn affected their information-sharing behaviors. Based on these findings, the authors present theoretical and practical implications with suggestions for future research.

Geotag services are not identical in all social media, so study participants might have perceived the characteristics of geotags differently depending on which social media they use.

The enjoyment of geotags, altruism, and anticipated reward were found to influence geotag satisfaction; however, desire for attention was not. The results imply that enjoyment of geotags and anticipated reward strongly predict geotag satisfaction.

The purpose of this paper is to conduct a systematic and quantitative review of published papers on smart tourism. More specifically, the paper aims to identify the smart tourism research life cycle, collaboration trends, main social structure, disciplinary approaches and foundations, research topics and methodological approaches.

Systematic quantitative review techniques were used to review smart tourism literature. Frequency analysis, network analysis, text mining techniques were performed on data obtained from 96 papers collected from three databases as follows: Web of Science, Scopus and EBSCOhost.

The smart tourism research life cycle has two turning points with an exponential increase: 2015 and 2017. The latter is mainly associated with the internationalization of collaboration. Social structure of smart tourism research was revealed. Many of the ideas and research trends are affected by one research cluster. Destination related articles are dominant in smart tourism research. Internet of things and tourist experience are less researched areas. Only a quarter of the articles was published in tourism and hospitality journals. In particular, there is a big gap in published papers in hospitality journals. An important gap from methodological aspect is limited number of qualitative studies with human subjects. The geographical limitation is high concentration of smart tourism studies in Korea.

This study collected and analyzed only full papers published in peer-reviewed journals. Future research may consider including book chapters and/or conference proceedings. This study was mainly based on quantitative review techniques. Qualitative or mixed review techniques may be conducted.

This study is the first literature review on an increasingly popular topic of smart tourism.

本研究旨在从以下几方面探讨智慧旅游的沿革:（1）出版量和研究主题, 2）主要学科、社会结构和合作趋势, 以及3）方法论和研究范式。

本研究对1995至2017年间发表的96篇文章进行了系统的定量评价, 并采用了评价和相关回顾的方法对文献进行了分析。

研究结果阐释了智能旅游研究的生命周期。自2015以来, 相关文献的出版数量迅速增长, 2017年更是呈现出指数增长的趋势。2017年, 相关的国际合作也大幅增加。在学科重点方面, 智能旅游研究并不仅局限于旅游, 而是采用跨学科/多学科的方法。在社会结构方面, 智能旅游的知识在很大程度上是由具有相似社会文化背景和制度背景的学者建构的。在研究主题方面, 与目的地相关的文章占主导地位。在研究方法方面, 智能旅游研究采用的主要是定量研究, 其次是概念研究和混合方法研究。令人惊讶的是, 定性研究则十分有限。在研究范式方面, 由于研究样本主要来自韩国, 研究可能存在文化偏见, 。

本研究仅收集并分析了在同行评审期刊上发表的论文。未来的研究可以考虑加入书籍章节和/或会议论文。本研究主要采用定量评价, 未来的研究可以考虑可以采用定性或混合方法技术。

本研究通过对社会结构、主题、方法和研究范式等方面的研究空白的分析, 为智能旅游研究提供了有意义的理论贡献, 并指出了未来的研究方向。