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This study aims to investigate the development of Airbnb in China from the perspective of hospitality leaders by identifying the positive and negative effects of Airbnb development in the country.

A qualitative approach was adopted to explore the current development of sharing accommodation service in China. Focus group discussions were conducted with the managers and top executives of hotels in China.

Most of the participants affirmed that the experience of local culture and authenticity are the advantages of staying in this type of informal accommodation. From the viewpoint of hoteliers, traditional accommodation is necessary to rethink their strategies by providing authentic experiences. By contrast, Airbnb service may not seamlessly fit into Chinese culture. The result also indicated that there is a need for government to regulate the informal accommodation platforms.

This study provides views towards Airbnb from the traditional accommodation sector in Mainland China, which can contribute to the future regulation of informal accommodation services.

Chinese market is the leading sector in tourism industry. With the popularity of Airbnb development around the world, Airbnb is still in a developing stage in Mainland China. This study is based on 45 hoteliers and industry professionals in China, who share their views on Airbnb development and how it should move forward. The findings of this study shed light on the informal accommodation service and its future directions in China.

爱彼迎在中国的未来：酒店业领导者的行业观点

这项研究旨在从酒店业领导者的角度调查Airbnb在中国的发展, 以确定Airbnb在中国发展的正面和负面影响。

本文采用定性方法来探索中国共享住宿服务的当前发展。研究组与中国酒店的经理和高层管理人员进行了焦点小组讨论。

大多数参与者表示, 当地文化和真实性的体验是住在Airbnb这种非正式住宿中的优势。从酒店经营者的角度来看, 传统的住宿业需要重新考虑他们的经营策略, 为顾客提供真实的体验。相比之下, Airbnb的服务可能无法无缝融入中国文化。结果还表明, 政府需要规范非正式的住宿平台。

该研究提供了中国内地传统住宿业对Airbnb的看法, 这有助于未来对非正式住宿服务的监管。

中国市场是旅游业的主导市场。Airbnb在世界范围内不断普及, 而它在中国内地市场仍处于发展阶段。参与研究的45位中国酒店业者和行业专业人士, 分享了对Airbnb开发的看法以及其之后的发展方向。这项研究的结果阐明了非正式住宿服务在中国的未来发展方向。

El futuro de Airbnb en China: perspectiva de la industria desde el punto de vista de líderes hoteleros

Este estudio tiene como objetivo investigar el desarrollo de Airbnb en China desde la perspectiva de líderes hoteleros, mediante la identificación de los efectos positivos y negativos del desarrollo de Airbnb en el país.

Se adoptó un enfoque cualitativo para explorar el desarrollo actual del servicio de alojamiento colaborativo en China. Se llevaron a cabo discusiones de grupos focales con los gerentes y altos ejecutivos de hoteles en China.

La mayoría de los participantes afirmaron que la experiencia de la cultura local y la autenticidad, son las ventajas de alojarse en este tipo de “alojamiento informal”. Desde el punto de vista de los hoteleros, es necesario que el alojamiento tradicional, repiense sus estrategias proporcionando experiencias auténticas. Por el contrario, el servicio de Airbnb puede no encajar perfectamente en la cultura China. El resultado, también indicó que es necesario que el gobierno regule las “plataformas informales” de alojamiento.

El estudio proporciona puntos de vista hacia Airbnb desde el sector de alojamiento tradicional en China continental, que puede contribuir a la futura regulación de los servicios de “alojamiento informal”.

El mercado chino es el sector líder en la industria del turismo. Con la popularidad del desarrollo de Airbnb en todo el mundo, Airbnb aún se encuentra en una etapa de desarrollo en China continental. Este estudio se basa en 45 hoteleros y profesionales de la industria en China al compartir sus puntos de vista sobre el desarrollo de Airbnb y cómo debería avanzar. Los resultados de este estudio arrojan luz sobre el servicio de “alojamiento informal” y sus futuras direcciones en China.

Drawing on anthropomorphism and the stereotype content model, this study aims to explore the impacts of robot anthropomorphism on hotel guests’ word of mouth and continuous usage intention through perceived warmth and competence. This study also investigates the moderating effects of guests’ expertise.

A total of 524 valid data was collected with Chinese hotel guest through an online survey. Data were analyzed by using structural equation modeling.

The results indicate that robot anthropomorphism positively affects perceived warmth and competence. Perceived warmth positively affects guests’ word of mouth and continuous usage intention, while perceived competence only positively influences guests’ continuous usage intention. The findings further show that guest expertise weakens the positive relationship between robot anthropomorphism and perceived warmth and competence.

This study advances robot service literature by integrating the stereotype content model with robot anthropomorphism in exploring hotel guests’ perceptions on service robots. This study also discovers the vital boundary role of guest characteristics in human–robot interaction. This study provides valuable information for hoteliers to design and adopt better robots for optimal guest experiences.

基于拟人化和刻板印象内容模型, 本研究探讨了机器人拟人化通过感知温暖和感知能力对酒店客人的口碑和持续使用意向的影响。此外, 本研究也探讨了客人专业知识的调节作用。

通过在线调查问卷, 我们共收集了来自中国酒店客人的524份有效数据, 并采用结构方程模型对这些数据进行了分析。

研究结果表明, 机器人拟人化积极影响感知温暖和感知能力。感知温暖会对客人的口碑和持续使用意向产生积极影响, 而感知能力只对客人的持续使用意向产生积极影响。研究结果进一步表明, 客人的专业知识会削弱机器人拟人化与感知温暖和能力之间的积极关系。

为了探索酒店客人对服务机器人的感知（状况/情况）, 本研究将机器人拟人化因素整合到刻板印象内容模型中, 其结果推动了机器人服务研究的发展。本研究还发现了客人特征在人机互动中的重要边界作用。本研究为酒店经营者设计和采用更好的机器人以获得最佳的客人体验提供了有价值的参考。

Se recopiló datos válidos de un total de 524 clientes de hoteles chinos mediante una encuesta en línea. Los datos fueron analizados mediante un modelo de ecuaciones estructurales.

Basándose en el antropomorfismo y en el modelo de contenido estereotipado, este estudio explora el impacto del antropomorfismo de los robots en el boca a boca de los clientes del hotel y en la intención de uso continuado a través de la calidez y la competencia percibidas. El estudio investiga también los efectos moderadores de la experiencia de los huéspedes.

Los resultados indican que el antropomorfismo del robot afecta positivamente a la calidez y a la competencia percibidas. La calidez percibida influye positivamente en el boca a boca y en la intención de uso continuado de los huéspedes, mientras que la competencia percibida sólo influye positivamente en la intención de uso continuado de los huéspedes. Los resultados muestran, además, que la experiencia del cliente debilita la relación positiva entre el antropomorfismo del robot y la percepción de calidez y de competencia.

Este estudio supone un avance en la literatura sobre robots de servicio al integrar el modelo de contenido estereotipado con el antropomorfismo de los robots, en la exploración de las percepciones de los huéspedes de hoteles sobre los robots de servicio. Este estudio también muestra el papel vital que desempeñan las características de los huéspedes en la interacción humano-robot. El estudio proporciona información valiosa para que los hoteleros diseñen y adopten mejores robots para ofrecer experiencias óptimas a los huéspedes.

This paper aims to explore the impact of emerging technologies, such as virtual reality, voice search, artificial intelligence, robotics and the Metaverse on hotel sales, marketing and revenue optimization.

This paper uses a combination of articles published in Journal of Hospitality and Tourism Technology and industry case studies to examine the integration of innovative technologies in hotel sales, marketing and revenue optimization strategies, plus the role of fundamental practices in ensuring long-term success.

The analysis demonstrates that innovative technologies can significantly enhance customer engagement, streamline booking processes and unlock new revenue streams. However, this paper also highlights the importance of fundamental marketing practices, such as user-friendly websites, fast and reliable/mobile-friendly websites, search engine optimization, social media engagement, content marketing and data-driven revenue management, in maintaining a hotel’s competitive advantage in the dynamic world of hospitality.

The findings suggest that hoteliers need to strike a balance between embracing emerging technologies and maintaining traditional marketing fundamentals to remain competitive and drive revenue growth. This integrated approach ensures long-term success in the ever-evolving hospitality landscape.

This paper bridges the gap between academia and industry practitioners by providing practical insights and implications that can be applied directly to hotels’ marketing and operational practices. The paper highlights the importance of balancing innovation with fundamental marketing strategies, emphasizing the need for an integrated approach to ensure long-term success in the ever-evolving world of hotel sales, marketing and revenue optimization – as well as those same tools in a plethora of hospitality and tourism venues working alongside the accommodations sector.

探讨新兴技术（如虚拟现实、语音搜索、人工智能、机器人技术和元宇宙）对酒店销售、营销和收入优化的影响。

本文结合发表在《酒店旅游科技杂志》（JHTT）的文章和行业案例, 研究了创新技术在酒店销售、营销和收入优化策略中的整合, 以及基础实践在确保长期成功方面的作用。

分析表明, 创新技术可以显著增强客户参与度, 简化预订流程, 并开拓新的收入来源。此外, 文章强调了基本营销实践, 如用户友好的网站、快速可靠/移动友好的网站、搜索引擎优化、社交媒体参与、内容营销和数据驱动的收入管理, 在保证酒店在充满变化的行业竞争中维持优势的重要性。

研究结果表明, 酒店经营者需要在使用新兴技术和保持传统营销基本原则之间取得平衡, 以保持竞争力并推动收入增长。这种综合方法确保在不断发展的酒店销售、营销和收入优化领域取得长期成功。

本文通过提供可直接应用于酒店营销和运营实践的实际见解和影响, 弥合了学术界与行业从业者之间的鸿沟。文章强调了创新与基本营销策略的平衡的重要性, 强调了综合方法的必要性, 以确保在不断发展的酒店销售、营销和收入优化领域取得长期成功, 以及这些工具在众多酒店和旅游场所与住宿部门一起工作的多样性领域中的应用。

The purpose of this paper is to use demand behavior estimation to find the sources of price variability among resort hotels at different Spanish destinations.

This paper estimates online demand functions during high season for seven four-star resort hotels located at different Spanish destinations. Different price elasticity values are compared, and different factors affecting price elasticity are analyzed.

The main findings indicate that most of the high season periods display elastic demands, but factors such as a central location at a resort, recent refurbishments, the availability of additional facilities/services and a hotel targeted at the couples and/or half-board segments make the demand more inelastic; the Tenerife hotels had the most price-elastic demand; during the closest booking periods to the date of stay, the demand is usually more elastic; and a higher number of local competitors pushes down hotel prices.

This paper highlights the managerial implications of focusing on more profitable demand segments for hoteliers. This is especially useful for the development of revenue management software aimed at improving forecasts.

该论文评估了位于西班牙不同目的地的七家四星级度假酒店在旺季期间的在线需求函数。比较不同的价格弹性值, 分析影响价格弹性的不同因素。

本文的目的是使用需求行为估计来找出西班牙不同目的地度假酒店价格变化的来源。

主要调查结果表明：（1）大多数旺季期间的需求弹性, 但诸如度假村的中心位置、最近的翻新、额外设施/服务的可用性以及针对夫妻和/的酒店等因素或半食宿使需求更加缺乏弹性; (2) 特内里费酒店的价格弹性需求最大; (3) 在离入住日期最近的预订期间, 需求通常更具弹性; (4) 更多的本地竞争者压低了酒店价格。

本论文强调了酒店经营者应关注更有利可图的需求细分市场的管理意义。研究发现对于开发旨在改进预测的收益管理软件特别有价值。

The purpose of this study is to examine hotel guests’ attitudes toward guest room technologies (GRTs) and determine whether hotel guests’ characteristics and attitudes regarding GRTs vary according to hotel guest typologies.

The data were gathered from a sample of 508 hotel guests who had stayed in a hotel in the past 12 months via a self-administered survey on Qualtrics survey software. The analysis of the study consisted of two main research steps: identification of cluster groups via the K-means cluster analysis algorithm and discriminant analysis; and performing a series of chi-square analyses to determine whether hotel guests’ characteristics and attitudes vary according to obtained hotel guest typologies.

Results indicated significant attitudinal (e.g. internet payment preference) and demographic (e.g. age) differences among the obtained hotel guest typologies regarding their attitudes toward GRTs.

The results provide valuable guidance and a pragmatic approach for those hotel managers that aim to generate tailored marketing strategies for guest segments that are interested in GRTs.

This study concentrates on GRTs with a market segmentation approach by using advanced statistical procedures. It contributes to the body of related research literature by offering empirical evidence where the study evaluates the impact of the availability of new GRTs on guest decision-making based on the principles of the theory of planned behavior. Practitioners will be able to use the presented findings to generate marketing and pricing strategies with respect to the technological needs and wants of each typology.

本论文主要研究酒店顾客对客房科技（GRTs）的态度以及检验顾客特点和背景情况对GRTs的态度是否有不同的影响。

研究样本包括508位在过去12个月内消费过的酒店顾客, 样本通过在线自助式问卷来采集。本论文的分析步骤分为两步：（1）通过K-means聚类分析和判别分析以确立群组, 以及（2）一系列Chi-square分析以判定酒店顾客特点和态度是否根据获得的顾客背景情况而有差别。

研究结果表明在获得的酒店顾客背景情况中, 态度型因子（比如网络支付喜好）和人口统计类型因子（比如年龄）对于酒店顾客GRTs态度有显著差异。

研究结果对酒店经营者针对不同细分市场对GRTs的喜好来制定个性化营销战略有着珍贵指导和实践的启示意义。

本论文主要通过一系列高级统计操作来研究GRTs以及市场细分方法。研究结果对相关文献有着显著价值, 对以计划行为理论 （Theory of Planned Behavior）为基础, 检验新型GRTs对顾客决策行为的影响提供了实践研究。行业实践者能够借鉴研究结论来制定与科技需求和细分市场需求相关的营销和定价战略。

酒店技术；客房技术；房间内部技术；市场划分；付款意愿；决策

纸张类型–研究论文

Hoteliers are often frustrated by the significant fees charged for bookings by Online Travel Agents (OTAs), and they try to encourage more direct bookings that circumvent the OTA system. However, there are billions of dollars of room revenues generated by OTAs every year; and many companies in other industries sell their products through multiple channels. The purpose of this study is to investigate how hotel revenue managers can collaborate successfully with OTAs.

Qualitative methods are applied in this study, specifically focus groups and in-person interviews with market managers of a leading OTA. Content analysis is performed, using ATLASti 5, to discover emerging themes and categories from the transcripts.

This study highlights several OTA value propositions and how hotels can benefit from them. Additionally, the findings of this study reveal that effective two-way communication between OTAs and revenue managers is the key to success. An “optimization loop” is established, which specifies that partnership and collaboration between OTAs and hotels must occur in a circular sequence of communication, engagement, collaboration and strategy.

A major limitation for this study is that interviews were conducted only with market managers, limiting the perspective to that of OTAs.

There is a paucity of research and dialogue discussing productive relationships between OTAs and hotel firms. Through in-depth in-person interviews with a diverse set of market managers from a leading OTA, this study brings to light an array of perspectives of what is required to optimize the OTA/hotelier relationship.

酒店经营者常常受到在线旅行社（OTA）收取高额预订费用的困扰。酒店试图鼓励客人直接预订房间，绕过OTA程序。然而，每年OTA贡献仍有数以十亿计美金的订房收入; 其他行业的很多公司采用多渠道销售产品。本论文研究目的在于探索酒店经理人们如何能够成功地与OTA合作。

本论文采用定性研究方法，主要以小组讨论和个人访谈的形式，与一家行业领先的OTA市场经理们进行深度访谈。本论文借用ATLASti 5 内容分析工具进行样本分析，总结出主题和分类。

本论坛提出了多个OTA价值组成，以及酒店如何从中盈利。此外，本论文还指出了OTA和财务经理的有效双向交流的重要性。其中，需要建立“循环展开”（Optimization Loop），即OTA和酒店之间的合作交流需要建立在循环、有序、通畅、以及战略的基础上。

本论文一个主要的理论限制就是只采访了OTA的市场经理。

理论上，关于OTA和酒店之间的战略合作的讨论，我们知之甚少。本论文采用与一家行业领先的OTA市场经理们的深入访谈，将这一合作关系进行积极讨论分析，提供一系列优化战略合作的方案和见解。

在线旅行社（OTA），酒店订房收入，合作关系，Expedia，市场经理，收入优化

This study aims to provide an in-depth understanding of the complex nature of Airbnb user experience by analyzing the pattern and sentiment of online reviews and assessing the relationships among review scores.

Big data analysis is conducted using Airbnb users’ online reviews of 16 US cities; correlation is run on review scores.

The key themes of Airbnb users’ online reviews are “clean,” “location,” “stay,” “home,” “place,” “host,” “neighborhood” and “recommend” and users have positive Airbnb experiences in general. The score of “cleanliness” significantly affects the “overall review” score.

This study is exploratory in nature; mixed methods should be used in the future to measure the relationship between user experience and extracted themes. As the context is in the USA in the current study, comparisons of review patterns across different countries and regions are necessary for later studies. Furthermore, future studies should consider Airbnb users’ demographics, personality and lodging preferences.

It is important for Airbnb hosts to maintain a clean and accessible property. Both Airbnb hosts and hoteliers should enhance the attributes that generate positive customer reviews. Each city should develop different strategies based on the performance of “cleanliness” and “overall review.”

This study supplements the existing literature in Airbnb user experience by analyzing online reviews in 16 US cities via Leximancer 4.0.

分析Airbnb网络评论：论美国16城市的用户体验

本论文旨在深入了解Airbnb用户体验的复杂属性, 通过分析网络评论以及网络评分之间的关系来找寻规律和判断用户情感偏差。

本论文采用大数据方式, 样本为美国16个城市的Airbnb用户网络评论; 本论文还对网络评分做出相关性分析。

研究结果表明, Airbnb用户网络评论的关键主题为“清洁性”、“地理位置”、“居住体验”、“家”、“地点”、“招待主人”、“邻里”、以及“推荐”和用户总体来说对Airbnb有着积极体验。“清洁度”分数对“整体评论”有显著影响。

本论文属于开拓性研究作品; 未来项目可以采用混合方法来衡量用户体验与主题的关系。本论文的研究背景是美国, 未来研究可以做不同国家和区域的评论模式对比分析。此外, 未来研究还应该考虑Airbnb用户的统计数据指标、个性、以及住宿设施偏好。

对于Airbnb住宿提供者来说, 保持设施的清洁和可使用性是非常重要的。对于Airbnb住宿主人和酒店经营者来说, 加强服务属性来提高网络好评是非常重要的。每个城市都应该基于“清洁度”和“整体评论”来开发不同的战略。

本论文补充了现有Airbnb用户体验的文献, 通过Leximancer 4.0 软件来分析美国16个城市的网络评论