Search results

The purpose of this study is to systematically analyze the evolution of health tourism development, identify relevant themes and segments of health tourism research and offer future research directions and practical implications for academic researchers and tourism practitioners worldwide using China as an example.

Using a bibliometric analysis, the present study comprehensively analyzes the theme, segments and the evolution of health tourism research over the past 40 years in China.

Major findings show that health tourism research in China could be divided into four stages with different characteristics, and three segments, including wellness tourism, health and wellness tourism and medical tourism. Findings also reveal the trend of health tourism development tends to be industrialized, diversified and systematic under the guidance of recent policies. Theoretically, based on the theoretical framework developed by Hall (2011), the present study contributes to the establishment and extension of the framework for health tourism within the context of China. Practically, findings can provide health tourism-related policy implications for the future development of health or health sector-integrated tourism.

The study proposes possible collaboration between government and academia in terms of health tourism-related policy formulation.

Through 40-year bibliometric analysis of health tourism evolution in China, the present study explores the main themes of health tourism development, identifies the segments of health tourism and analyzes the development stages of health tourism. Findings should be of use to international readers to better understand the uniqueness of health tourism development and find out possible future health tourism development research directions. As a result, major contributions of this paper are the comprehensive analysis of the evolution of health tourism research and the implications on other countries and regions to adopt a pragmatic approach to explore the trend and unique characteristics of health tourism for future development.

本研究旨在系统地分析中国健康旅游的演变过程, 探索健康旅游研究的相关主题及细分领域, 并为全球学术研究人员及旅游从业者提供未来的研究方向。

此研究通过文献计量学的研究方法, 全面分析了中国近40年健康旅游研究的主题、细分以及演变。

中国健康旅游研究根据其发展特点可以分为四个阶段及三个细分主题：分别是养生旅游, 康养旅游及医疗旅游。调查结果还表明, 在近期政策的引导下, 健康旅游发展趋于产业化、多元化和系统化。从理论意义来说, 本研究基于Hall (2011) 提出的理论框架, 构建了中国背景下的健康旅游框架。从实践意义来说, 研究结果可以为健康和旅游业相关部门提供政策建议。

此研究还有助于促进政府和学术界在健康旅游政策制定方面的合作。

此研究通过对中国近40年健康旅游的研究进行文献计量分析, 探索了健康旅游发展的主题, 分析了健康旅游的细分市场以及发展阶段。研究结果有助于学术界及旅游业更好地了解健康旅游发展的独特性及未来健康旅游的研究方向。因此, 本研究的主要贡献是全面地分析了健康旅游研究的演变, 并有助于其他国家/地区探索未来健康旅游的发展趋势和其独特特征。

El propósito del presente estudio es analizar sistemáticamente la evolución del desarrollo del turismo de salud, identificar temas y segmentos relevantes de la investigación en turismo de salud y ofrecer direcciones de investigación futuras e implicaciones prácticas para investigadores académicos y profesionales del turismo en todo el mundo utilizando a China como ejemplo.

Mediante un análisis bibliométrico, el presente estudio analiza exhaustivamente la temática, los segmentos y la evolución de la investigación sobre turismo de salud en los últimos 40 años.

Los principales hallazgos muestran que la investigación del turismo de salud en China podría dividirse en cuatro etapas con diferentes características y tres segmentos, incluido el turismo de bienestar, el turismo de salud y bienestar y el turismo médico. Los hallazgos también revelan que la tendencia del desarrollo del turismo de salud tiende a ser industrializado, diversificado y sistemático bajo la guía de políticas recientes. El presente estudio hace aportes tanto teóricos como prácticos. Teóricamente, basado en el marco teórico desarrollado por Hall (2011), el presente estudio contribuye al establecimiento y extensión del marco para el turismo de salud en el contexto de China. En la práctica, los hallazgos pueden proporcionar implicaciones políticas relacionadas con el turismo de salud para el desarrollo futuro de la salud o el turismo integrado en el sector de la salud.

El estudio también propone una posible colaboración entre el gobierno y la academia en términos de formulación de políticas relacionadas con el turismo de salud.

A través del análisis bibliométrico de 40 años de la evolución del turismo de salud, el presente estudio explora los temas principales del desarrollo del turismo de salud, identifica los segmentos del turismo de salud y analiza las etapas de desarrollo del turismo de salud. Los hallazgos deberían ser de utilidad para los lectores internacionales para comprender mejor la singularidad del desarrollo del turismo de salud y descubrir posibles direcciones futuras de investigación sobre el desarrollo del turismo de salud. Como resultado, las principales contribuciones de este documento son el análisis exhaustivo de la evolución de la investigación en turismo de salud y las implicaciones en otros países y regiones para adoptar un enfoque pragmático para explorar la tendencia y las características únicas del turismo de salud para el desarrollo futuro.

This study aims to use a bottom-up, inductive approach to derive destination image attributes from large quantities of online consumer narratives and establish a destination classification system based on relationships among attributes and places.

Content and social network analyses were used to explore the consumer image structure for destinations based on online narratives. Cluster analysis was then used to group destinations by attributes, and ANOVA provided comparisons.

Twenty-two attributes were identified and combined into three groups (core, expected, latent). Destinations were classified into three clusters (comprehensive urban, scenic and lifestyle) based on their network centralities. Using data on Chinese tourism, the most mentioned (core) attributes were determined to be landscape, traffic within the destination, food and beverages and resource-based attractions. Social life was meaningful in consumer narratives but often overlooked by researchers.

Destinations should determine into which category they belong and then appeal to the real needs of tourists. Destination management organizations should provide the essential attributes while paying greater attention to highlighting the destinations’ social life atmosphere.

This research produced empirical work on Chinese tourism by combining a bottom-up, inductive research design with big data. It divided the 49 destinations into three categories and established a new system based on rich data to classify travel destinations.

本研究旨在使用自下而上的归纳方法从大量的在线消费者的叙述中总结出目的地形象的属性, 并根据目的地形象的属性和地点之间的关系建立一个目的地分类系统。

首先通过内容分析方法和社会网络分析方法分析在线消费者的叙述数据得出目的地的消费者形象结构, 然后采用聚类分析方法按照属性对目的地形象进行分组, 并通过方差分析进行比较。

结果显示总结出22种属性, 并将其组合为三组(核心、预期和潜在)。目的地根据其网络中心度被分为三个集群(综合城市、风景和生活方式)。最常被提及的(核心)属性是景观、目的地的交通、食品和饮料以及资源型景点。在消费者的叙述数据中表明社会生活是有意义的, 但常常被研究人员忽视。

首先本研究通过将自下而上的归纳研究设计与大数据相结合对中国旅游业进行了实证研究。其次通过将49个旅游目的地分为三类以及基于大数据建立了一个新的旅游目的地分类系统。

旅游目的地应该明确自己属于哪一类目的地类型然后迎合游客的真正需求。DMOs应该提供旅游目的地的基本属性, 注重提升旅游目的地的社会生活氛围。

Se realizó un análisis de contenido en redes sociales para explorar la estructura de la imagen de los destinos por parte de los consumidores basándose en las descripciones en línea. A continuación, se empleó el análisis de clusters para agrupar los destinos por atributos, estableciendo comparaciones mediante el análisis ANOVA.

Los propósitos de esta investigación eran utilizar un enfoque ascendente e inductivo para obtener atributos de imagen de los destinos a partir de grandes cantidades de descripciones de consumidores en línea, y establecer un sistema de clasificación de destinos basado en las relaciones entre atributos y lugares.

Se identificaron 22 atributos que luego se agruparon en tres grupos (principales, esperados, latentes). Los destinos se clasificaron en tres grupos (urbano integral, paisajístico y de estilo de vida) en función de sus centralidades de red. Utilizando datos sobre el turismo chino, se determinó que los atributos (centrales) más mencionados eran el paisaje, el tráfico dentro del destino, la comida y las bebidas, y las atracciones basadas en los recursos. La vida social era importante en los comentarios de los consumidores, pero a menudo los investigadores la pasaban por alto.

Los destinos deberían determinar a qué categoría pertenecen y luego apelar a las necesidades reales de los turistas. Los DMO deberían proporcionar los atributos esenciales prestando mayor atención a resaltar el entorno de vida social de los destinos.

Esta investigación elaboró un trabajo empírico sobre el turismo chino combinando un diseño de investigación inductiva ascendente con big data. Dividió los 49 destinos en tres categorías y estableció un nuevo sistema basado en los grandes datos para clasificar los destinos turísticos.

This study aims to investigate the consumer acceptance of robots in hotels before and after COVID-19, with a specific emphasis on whether COVID-19 had a significant effect on the acceptance of robots by hotel guests and whether guests had higher levels of acceptance of hotel robots since the initial COVID-19 outbreak was brought under control in China.

The sample for this research included Chinese hotel guests before and after COVID-19, with 247 responses obtained before its outbreak and a further 601 responses gathered after. Several hypotheses were developed and tested in a pseudo-experimental design.

The results showed that COVID-19 increased hotel guest acceptance of robots. After COVID-19, the perceived importance of the usefulness, social influence, attitude and value of robots increased, while the perceived importance of the ease of use and anthropomorphism of robots decreased. As a contactless service, the usefulness of robots was more valued by customers. This led customers to lower their requirements for the ease of use of robots. In addition, people were more concerned about the social influences on robot use.

Hotel guest attitudes and behavioral intentions toward robots and the services they can provide are changing. However, whether this change is purely ephemeral and motivated by a pragmatic stance triggered by COVID-19 remains to be established.

The hospitality industry is encouraged to create a new profile of guests in terms of their favorable or unfavorable disposition toward being served by robots. Hotels should consider the deployment of robots according to the demographic characteristics of customers (e.g. according to guest age levels).

This research demonstrated that major crises affect customer attitudes and behaviors toward new technologies. COVID-19 resulted in guests paying more attention to the advantages of services offered by hotel robots as a means of reducing the probability of contagion.

疫情前后酒店机器人非接触式服务的技术接受度对比研究

摘要

本研究调查了新冠疫情爆发前后酒店顾客对机器人接受程度的变化, 重点研究了新冠疫情是否对机器人的潜在接受程度有显著影响, 以及自疫情在中国得到控制以来, 顾客对酒店机器人的接受程度是否有所提高。

本研究的样本主要是新冠疫情爆发前后的中国酒店顾客, 在疫情爆发前收集了217份样本, 在疫情爆发后收集了601份样本。研究提出了若干假设, 并采用伪实验设计进行了检验。

结果显示, 新冠疫情的爆发提高了酒店顾客对机器人的潜在接受度。新冠疫情后, 机器人的有用性, 社会影响, 态度和价值的影响增加了, 而机器人的易用性和拟人化的影响降低了。由于机器人的无接触服务, 使得顾客更加关注有用性。这导致顾客对易用性的关注降低。此外, 顾客更加关注使用机器人的社会影响。

酒店顾客对机器人服务的态度和行为意图正在发生变化。然而, 这一变化是否是短暂的, 只是由新冠疫情驱动的, 仍有待确定。

我们鼓励酒店业根据客人对机器人的接受/不接受程度来创建一个新的客户档案。酒店也可以根据顾客的人口统计学特征（比如年龄）来部署机器人。

这项研究表明, 重大灾难会影响顾客对新技术的态度和行为。 COVID-19的爆发导致客人更加关注酒店机器人的服务优势（降低传染概率）。

Aceptación de la tecnología antes y después de la pandemia del COVID-19: Servicios ofrecidos por robots en hoteles

Resumen

Esta investigación analiza la aceptación por parte de clientes del uso de robots en hoteles antes y después del comienzo de la pandemia del COVID-19, prestando una atención especial a si dicha pandemia ha tenido un efecto significativo sobre los niveles de aceptación de robots por parte de clientes en hoteles en China a raíz de la pandemia del COVID-19.

La muestra de este estudio incluye clientes de hoteles en China encuestados antes y después del brote de COVID-19, con 247 cuestionarios recogidos antes del brote y otros 601 después del mismo. Este estudio incluye una serie de hipótesis puestas a prueba adoptando un diseño de investigación de carácter pseudo-experimental.

Los resultados de este estudio apuntan a que el brote de COVID en China conllevó un incremento en la proporción de los clientes de hoteles propensos a aceptar el uso de robots en este contexto. Después de la pandemia, hubo un incremento en la percepción de la importancia de su utilidad, influencia social, actitud y valor de los robots en este contexto, mientras que descendió la percepción de la importancia de la facilidad del use de robots y antropomorfismo descendió. Como servicio sin necesidad de contacto físico, la utilidad de los robots en hoteles fue más valorada por los clientes Esto produjo una disminución en los requisitos de los usuarios en lo referente a la facilidad del uso de robots en hoteles. Además, los participantes en esta encuesta se mostraron más propensos a valorar la influencia sobre la sociedad del uso de robots.

La actitud de clientes de hoteles y su aceptación del uso de robots en este contexto, así como los servicios que éstos proveen están cambiando rápidamente. No obstante, aún no se sabe con certeza hasta que punto estos cambios son meramente efímeros y motivados por una actitud pragmática hacia la crisis creada por la pandemia del COVID-19.

El sector de la hostelería debería intentar desarrollar un perfil de clientes nuevo en lo referente a su grado de aceptación de los robots como parte de los servicios ofrecidos. Los hoteles deberían considerar el uso de robots en los servicios ofrecidos dependiendo de las características demográficas de sus clientes (ejem. Nivel de estudios y formación).

Este estudio demuestra que las crisis de gran magnitud, como lo es la pandemia actual de COVID-19, pueden afectar las actitudes y comportamientos del consumidor en lo referente al uso de nuevas tecnologías. La pandemia del COVID-19 ha llevado a muchos clientes de hoteles a prestar una mayor atención a las ventajas de los servicios ofrecidos por robots como forma de reducir las posibilidades de contagio.

Based on text content analysis using big data, this study aims to explore differences in guest perceptions of peer-to-peer accommodations before and after COVID-19 to provide suggestions for the development of these properties in China postpandemic.

A guest perception dictionary was established by collecting Ctrip customer reviews of peer-to-peer accommodations. After data cleaning, thematic word analysis and semantic association network analysis were used to explore perceptions and thematic differences before and after COVID-19.

This research constructed a multidimensional framework of guest-perceived values for peer-to-peer accommodation in the context of COVID-19. The findings showed that the emphasis on functionality in peer-to-peer accommodation changed; perceived emotional values associated with peer-to-peer stays were more complex; perceived social values decreased, host–guest interactions were reduced and online communication became a stronger trend; tourist preferences for types of experiences changed, and people changed their destination selections; perceived conditional value was reflected in perceived risks, and the perceptions of environmental health, service and physical risks increased.

This research has constructed a multidimensional framework of tourist perceived value on the basis of peer-to-peer accommodation context and epidemic background and has thus shown the changes in tourist perceived value of peer-to-peer accommodation before and after COVID-19.

To the best of authors’ knowledge, this research constitutes the first attempt to explore the perceptual differences for peer-to-peer accommodations before and after COVID-19 based on an extensive data set of online reviews from multiple provinces of China.

Robots, as the crystallization of new artificial intelligence, are being applied in various fields, especially the hotel industry. They are seizing the opportunities, using technology to improve the overall quality and comprehensive competitiveness. However, they also cause many problems due to practical limitations. The purpose of this paper is to study customers' recognition and acceptance of hotel service robots to guide the successful promotion of this technology.

This paper proposed a comprehensive model based on the theory of planned behavior, the technology acceptance model and then the perceived value-based acceptance model. Exploratory factor analysis, confirmatory factor analysis, grouped regression analysis and path analysis was adopted to validate the impacts of each variable to obtain the final reliable model using data collected from hotel guests using a self-designed questionnaire.

The empirical research based on the theoretical model shows that the constructed conceptual model can thoroughly explain the influencing factors of hotel robot acceptance, enrich the acceptance theory and provide academic support for the use and popularization of hotel service robots. Among all variables, attitude, usefulness and perceived value are the factors that have the greatest impact on acceptance. They have significant differences in the effects of adjustment variables such as gender, educational level, whether hotel robots have been used, and whether other robot services have been experienced on different paths in the model.

This paper explored the customer acceptance of service robots in hotels, helped to understand the process of decision-making on service robot selection and contributed to the theoretical extension of the hospitality industry. The work guides hotel management to promote better-personalized products and services of robot technology in the hospitality industries.

The acceptance study on hotel service robots provides insight into the hotel industry to understand customers' attitudes and acceptance of emerging technology.

The purpose of this paper is to investigate how electronic word of mouth (e-WOM), attitude, and city image affect tourists’ intention to visit a tourism city.

Drawing from the tourism management literature, the authors hypothesize and test the relationships among e-WOM, attitude, overall city image, and visit intentions. Structural equation modeling was conducted to test the proposed relationships among the variables.

The empirical results suggested that e-WOM has a positive and significant influence on tourists’ attitude and overall city image. Further, e-WOM, attitude toward city, and overall city image were significant determinants of visit intentions.

The paper contributes to understand the relationship between four constructs of e-WOM, attitude, and overall city image and visit intentions, tested in city tourism in the context of a tourism city.

The purpose of this paper is to describe a smart city initiative presenting a mobile tourist guide developed for Natal, Brazil.

This study has employed an exploratory case study approach to gain more knowledge about a smart city initiative and a mobile tourist guide in Brazil. The city of Natal was selected for this case study since it was one of the host cities during the FIFA World Cup 2014. The collected data for this research came from government (e.g. Natal Smart City plan), academic sources (e.g. Metropole Digital Institute (IMD)), and tourists’ information from the mobile tourist guide application.

The smart city initiative of Natal, and the mobile tourist guide (named Find Natal) responsible for collecting, processing, sharing, storing and analysing the tourist behaviour were detailed in the paper. The Smart City Consortium in Natal is developing an interoperable and distributed infrastructure that is advancing the state-of-the-art in information and communication technologies (ICT) for planning and managing smart cities. The IMD implemented an application, which aims to enhance the traveller’s experience through software programs designed to leverage the infrastructure mechanisms behind the city. The data gathered by the application was analysed to show how it was used during the 2014 FIFA World Cup.

The results show a developed ICT initiative in a Latin American country. This study offers a starting point for destinations willing to implement and deploy a smart city initiative.

Grounded in service-dominant (S-D) logic, the purpose of this paper is to explore the core components of smartness to present a framework for the development of the smart tourism destination.

The paper explores the core components of smartness through case study analysis of well-established smart cities.

The paper conceptualises smartness and argues ICT, leadership, innovation and social capital supported by human capital are core components of smartness. Although ICT is a critical enabler for smart tourism destinations, it is insufficient on its own to introduce smartness. The combination of hard and soft smartness components within a S-D logic ecosystem structure holds the potential for sustained competitive advantage and enhancement of quality of life of both residents and tourists in smart tourism destinations.

The paper extends the application of S-D logic to the context of smart tourism destinations, specifically to examine the smartness concept as a means for competitiveness in tourism destinations.

The purpose of this paper is to develop nine criteria for tourism disaster resilience scorecard for destinations (TDRSD) by using the “disaster resilience scorecard for cities, based on UNISDR’s ten essentials”. As a surrogate for the city, the Convention and Visitors Bureau (CVB) is used at the destination level to manage and oversee disasters within the perspective of a visitor. The initial section of the paper revises the scorecard to adapt to the destination, while the second part of the paper applies the scorecard to a specific city destination. The TDRSD scorecard for CVBs was used to evaluate the destination of Manta, Ecuador.

The approach included four stages. The first stage was to use a Delphi technique to evaluate and adapt the UNIDSRR scorecard to a destination (tourism) context. The second stage included conducting interviews with members of the Manta CVB and Mesa 5 (Emergency Management Department of Manta). Consequently, each answer was paired with support for the item and criteria score. Finally, the weak and strong scores were identified for each essential and match them up with recommendations and trends available in literature.

This study set out to do three things: suggest that a similar scorecard is necessary for destinations; adapt the UNIDSR scorecard to a destination focus; and apply the TDRSD to Manta, Ecuador. Overall, these goals were met. But most interestingly, findings suggest some troubling outcomes.

The study allowed to undercover gaps in the current risk management plan of the destination, while providing an evaluation of the engineering resilience of the tourism sector of Manta in case of a disaster.