Search results

This study aims to explain how the impact of COVID-19 on human mobility is affected by the perceived risk of the pandemic.

Using a statistical analysis and a geographic visualization technique, we investigate whether and how changes in people’s restaurant visiting patterns during COVID-19 vary with their level of risk perception.

The changes in people’s restaurant visiting patterns vary with their risk perception: the tendency to increase the number of visits to restaurants located in non-popular areas is related to the level of perceived risk.

This research confirms the importance of risk perception when examining the pandemic’s multi-dimensional impacts.

这项研究旨在解释 COVID-19 对人类流动性的影响如何受到大流行的感知风险的影响。

使用统计分析和地理可视化技术, 我们调查人们的餐厅是否以及如何变化COVID-19 期间的访问模式因他们的风险感知水平而异。

人们的餐厅光顾模式的变化随着他们的风险感知而变化：去位于非热门区域的餐厅的光顾次数增加的趋势与感知的风险水平有关。

这项研究证实了在检查大流行的多维影响时风险认知的重要性。

Mediante un análisis estadístico y una técnica de visualización geográfica, investigamos si los cambios en los patrones de visita a restaurantes de las personas durante COVID-19 varían en función de su nivel de percepción del riesgo y cómo lo hacen.

Esta investigación pretende explicar cómo el impacto de COVID-19 en la movilidad humana se ve afectado por el riesgo percibido de la pandemia.

Los cambios en las pautas de visita a restaurantes de las personas varían en función de su percepción del riesgo: la tendencia a aumentar el número de visitas a restaurantes situados en zonas no populares está relacionada con el nivel de riesgo percibido.

Esta investigación confirma la importancia de la percepción del riesgo a la hora de examinar los impactos multidimensionales de la pandemia.

This paper aims to examine the impact of metaverse experiences on customers’ offline behavioral intentions: How do customers’ visits to a hospitality business’s virtual property in the metaverse affect their intentions to visit the physical property in the real world?

Based on the general learning model and social cognitive theory, this research hypothesizes the positive impact of metaverse experiences on customers’ visit intentions and explores two boundary conditions for positive impact: user–avatar resemblance and servicescape similarity. Two experimental studies were conducted.

Metaverse experience has a significant impact on customers’ visit intentions, and this impact is moderated by user–avatar resemblance and servicescape similarity.

This research addresses the call for empirical studies regarding the effects of metaverse experience on people’s behavioral intentions.

As one of the earliest empirical studies on the marketing effects of the metaverse, this research provides a basis for future metaverse studies in the hospitality field.

The purpose of this study is to empirically investigate what aspects of service robot interactions with customers can lead to meaningful outcomes in the view of customers. The study examines functional and emotional elements of AI service robots in terms of meaningful outcomes.

This study highlights AI service robots' meaningful outcomes as a viable research problem and proposes a research model utilizing the Stimulus-Organism-Response (SOR) framework. As an empirical approach, 260 datasets were collected from customers who have experience with AI service restaurants in China.

The study examines the functional and emotional elements of AI-powered service robots on the attitude of and meaningful outcomes for customers. The results showed that the emotional (perceived friendliness and perceived coolness) and functional (perceived safety and robot competence) attributes of human–robot interactions (HRI) significantly affect the attitude toward using service robots. Second, the attitude toward using service robots significantly influences the experiential outcome and instrumental outcome of meaningful engagement.

This study highlights two elements (i.e. functional and emotional) of HRI effectiveness using two metrics: experiential and performance outcomes. Future studies should generalize the research findings of service robots in the current study using a larger quantity of data from various service fields.

As the first empirical study highlighting the customer experience with service robots, this study opens up a feasible research direction for the service industry to pursue in terms of conducting HRI studies from the view of customers. It identifies a research model pursuant to customers' experience with HRI in creating meaningful outcomes and it theoretically extends the SOR model to the hospitality study, focusing on the HRI issue.

In view of the influences of online videos on the cultural tourism industry, this study aims to explore the mechanisms triggered by watching online video behaviors of fans. This study examines how fans who have watched celebrities’ online videos become tourists who attend concerts held at destinations based on celebrity and destination endorsements.

This study builds for celebrity and destination endorsements on online videos by combining media richness and source model theory. This research adopts partial least squares structural equation modeling to analyze the mechanism triggered by online media.

Watching online media influences celebrity and destination endorsements, which, in turn, affects the concert experience and intention to return to the destination. Results reveal less intertwined relationships between celebrity and destination endorsements and the complex mechanisms between the two endorsements.

With the rise in popularity of online media, online content has become a major source of information in the tourism industry and a means of enjoying travel seamlessly. This study highlights not only the role of “watching online videos” as one of the richest media but also the role of live concerts in cultural tourism for understanding complex cultural tourism.

为了探讨在线视频对文化旅游业的影响, 本研究探讨了观看在线视频所触发旅游行为的机制。本研究考察了在名人和景区的宣传下, 观看名人在线视频的粉丝如何成为参加目的地举办的演唱会的旅游者。

基于媒体丰富度和来源模型理论, 本研究调查了名人与景区的宣传视频。本研究采用partial least squares（PLS）结构方程建模来分析在线媒体所引发的机制。

观看在线媒体影响了名人和目的地宣传效应, 进而影响了演唱会的体验和到访目的地的意愿。研究结果揭示了名人和目的地宣传之间的关系并不紧密, 这两种宣传之间存在着复杂的机制。

随着在线媒体的普及, 在线内容已成为旅游业中信息的主要来源和享受旅游的手段。本研究不仅突出了“观看在线视频”作为最丰富的媒体之一的作用, 也突出了演唱会在文化旅游中的功能, 以更全面地理解复杂的文化旅游。

This study assesses the impact of smart destination implementations in Malaga. Thus, this study aims to guide the transformation of destinations into smart destinations as well as the introduction of smart destination concept in the literature.

Malaga was selected because it was one of the two winners of 2020 European Capital of Smart Tourism competition as well as the winner in the accessibility category of the 2019. The research population lives in Malaga and has been professionally involved in smart destination implementations. Data were collected through a semi-structured interview of 14 smart-tourism experts in different career fields. Content analysis was applied to the findings.

Malaga has become a successful smart destination while it has had a great success in improving its attractiveness and competitiveness due to the developments in the past 20 years. Now, its citizens and tourists are very satisfied and have a higher and more attractive quality of life. Moreover, Malaga has become a leading destination, especially in accessibility and mobility.

Although smart destination is becoming popular topic day by day, almost all the studies are created to introduce the approach with secondary data. There are still only limited research studies conducted by primary data on a real smart destination case. Furthermore, Malaga is a quite good example to understand the importance of smart destination approach since the city has achieved to become an attractive and popular destination for both tourists and local residents.