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Engaging in webcare, i.e. responding to online reviews, can positively affect consumer attitudes, intentions and behavior. Research is often scarce or inconsistent regarding the effects of specific webcare strategies on business performance. Therefore, this study tests whether and how several webcare strategies affect hotel bookings.

We apply machine learning classifiers to secondary data (webcare messages) to classify webcare variables to be included in a regression analysis looking at the effect of these strategies on hotel bookings while controlling for possible confounds such as seasonality and hotel-specific effects.

The strategies that have a positive effect on bookings are directing reviewers to a private channel, being defensive, offering compensation and having managers sign the response. Webcare strategies to be avoided are apologies, merely asking for more information, inviting customers for another visit and adding informal non-verbal cues. Strategies that do not appear to affect future bookings are expressing gratitude, personalizing and having staff members (rather than managers) sign webcare.

These findings help managers optimize their webcare strategy for better business results and develop automated webcare.

We look into several commonly used and studied webcare strategies that affect actual business outcomes, being that most previous research studies are experimental or look into a very limited set of strategies.

The Internet has enabled consumers to act as their own travel agents and to verify independently the accuracy of the information provided by airlines through the CRSs and travel agents. As a result, the relationships between consumers and the suppliers of air-travel information have been radically altered, and we document these changes. We identify the relevant market for air-travel information, which includes CRSs, online travel agencies, and the websites and call centers of individual carriers. We determine market concentration and market shares using the Herfindhal-Hirschman Index. Based on our analysis, we argue that there is no longer any need to regulate independent CRSs. However, airlines that own CRSs continue to have an incentive to withdraw their flight and fare information from rival CRSs and, to prevent this from happening, the mandatory participation rule adopted in 1992 should be maintained.

In the era of new technological revolution, seeking to survive and guarantee business sustainability in their digital internationalization, enterprises choose to become environmentally oriented. The need for new green business models has become evident in recent years, and enterprises offer green services in creative and eco-friendly ways. However, does the display of a green label on hotels' websites really promote the eco-conscious tourists' online booking intention? This study aims to examine the impact of the perceived label on the online sustainable hotel booking intention of the eco-conscious tourists, using the foundations of signal theory.

This study adopted a structural equation model to integrate several constructs with a sample of 349 validated responses.

The empirical results highlight, the importance of the green label perception on the eco-conscious tourists' booking intention of online sustainable hotel and the role that green trust and green perceived risk play as a mediating variable between the perception of the exposed label and the booking intention. Indeed, when booking a sustainable hotel online, the tourists may be sensitive to the exposure of a green label. Therefore, this signal decreases the perceived risk of unsustainability and ultimately increases the trust in hotel's sustainability.

The first limitation is related to the sample employed in this study. Given that most of the participants were residents of France, the results of this study may not be generalized to the entire population. Secondly, a range of other factors can affect the eco-conscious tourists' intentions to book online a hotel with green label, such as their attitude, social media influence, tourists' satisfaction, etc. Indeed, other variables and/or signals could be adopted to study online booking intention in the pandemic era.

In light of these results, theoretical and managerial implications are discussed. The findings make an important contribution to SMEs sustainability and internationalization by exploring new ties. This study considers how SMEs and specifically hotels start following green practices (e.g. adoption of an eco-label) relevant to their international environment where they operate and in response to global pressures. SMEs can survive better in the highly competitive global environment where they need to employ more green practices, however, managers should consider how green trust and green perceived risk can affect customer behavior. It also adds to the existing literature by dealing with customer perceptions about the green label of sustainable hotels and its subsequent effect on booking intention.

This study had shown the importance of the display of green label on the eco-conscious tourist's online booking intention.

This paper aims to explore how different levels of involvement in the prevacation phase affect vacationers’ subsequent satisfaction, word of mouth (WOM) recommendations and loyal behavior with regard to the planning/booking process.

Data from a field study (N = 5,158) in a travel planning context are used to investigate the differences in WOM recommendations and loyalty between self-packagers (higher involvement) and package buyers (lower involvement).

Tourists who are less involved in the prevacation phase are more likely to recommend the planning/booking process, while more involved tourists are more likely to repeat the same planning/booking process than package buyers.

The findings have implications for tourist agencies, tour operators, tourism suppliers and tourism marketers in terms of customer retention and WOM communication. These findings also have theoretical implications for the WOM and loyalty literature.

This paper reveals how involvement in travel planning may affect satisfaction, WOM recommendation and loyalty behavior. These relationships have not been investigated before.

本文探讨了度假规划和预订模式的选择（自我安排行程与购买套餐）是否会影响度假者随后的满意度、口碑（WOM）推荐以及与规划和预订过程相关的忠诚行为。

使用在旅游规划背景下的一项实地研究（N = 5158）数据来研究自我安排行程者与套餐购买者之间的WOM推荐和忠诚度的差异。

较之自我安排行程者, 套餐购买者更有可能推荐规划/预订过程, 而自我安排行程者比套餐购买者更有可能重复相同的规划过程。

本文对参与旅游规划如何影响满意度、WOM推荐和忠诚度行为进行了深入探讨。尚无研究对这些关系进行探讨。

研究结果对旅游机构、旅游经营者、旅游供应商和旅游营销人员的客户保留和客户WOM沟通有启发意义。研究结果对WOM和忠诚度文献也有理论上的意义。

Este artículo explora si la elección de la planificación de vacaciones y la modalidad de reserva (independiente vs compra de paquetes) afecta la satisfacción posterior de los turistas, las recomendaciones boca a boca (WOM) y la fidelización relacionada con el proceso de planificación y reserva.

Se utilizaron datos de un estudio de campo (N = 5158) en un contexto de planificación de viajes para investigar las diferencias en las recomendaciones WOM y la fidelización entre viajeros independientes (mayor participación) y compradores de paquetes (menor participación).

Es más probable que los compradores de paquetes recomienden el proceso de planificación/reserva que los viajeros independientes, mientras que estos últimos tienen más probabilidades de repetir el mismo proceso de planificación que los compradores de paquetes.

El documento proporciona información sobre la manera como la participación en la planificación de viajes puede afectar la satisfacción, recomendaciones WOM y fidelización. Estas correlaciones no han sido investigadas anteriormente.

Estos hallazgos tienen implicaciones para las agencias, operadores, proveedores y comercializadores turísticos en términos de retención de clientes y comunicación WOM con el cliente. Los hallazgos también tienen implicaciones teóricas para el WOM y la literatura sobre fidelización.

In September 2019, Booking.com changed from the smiley-based scoring system (2.5–10) to the purely 10-point evaluation system (1–10). The smiley-based service evaluation is based on the multi-dimensional (M-D) system, whereas the purely 10-point service evaluation is based on the single-dimensional (S-D) system. This paper aims to focus on how a change in review posting policies impacts service evaluations regarding review generation and distribution.

The authors exploit the natural experiment using Booking.com when the site changed its scoring system from a multidimensional smiley-based service evaluation system to an S-D scoring system. The authors collected online reviews posted on two travel agencies (Booking.com and Priceline.com) between September 2019 and October 2020. A quasi-experimental approach, Difference-in-Differences, was used to isolate the impacts of the new scoring system from the impacts of the change in the service evaluation environment, i.e. COVID-19.

The change in the scoring system considerably alters review distributions by decreasing the portion of positive reviews but increasing the portion of highly positive reviews. Using the theory of emotion work (Hochschild, 1979, 2001), DID is also the reason that the former M-D smiley-based system could have underrated, highly positive reviews of services. Using the information transfer theory (Belkin, 1984), the authors reason the asymmetric transfer of information when users consume reviews from the older (M-D) system but are required to generate reviews on a newer (S-D) system.

The findings would provide online review platform management with a deeper understanding of the consequences of changes in service evaluations when the scoring system is changed.

Though the change in the scoring system would affect how customers evaluate the services of hotels, the causal impacts of switching to the new S-D scoring system have not yet been thoroughly covered by prior hospitality and service evaluation literature, which this research aspires to do.

This study aims to investigate the effect of deepfake video advertisements on hotel booking intention by applying the media richness theory (MRT) and information manipulation theory (IMT).

A quantitative survey was conducted using a structured questionnaire to understand the effect of deepfake hotel video advertisements on booking intention. A large cross-section of 1,240 tourists was surveyed and data were analyzed with partial least squares structural equation modeling (PLS-SEM).

The outcome of this research provides the factors affecting the booking intention due to deepfake hotel video advertisements. These factors are media richness (MR), information manipulation (IM) tactics, perceived value (PV) and perceived trust (PT). Cognitive load and perceived deception (DC) negatively influence the hotel booking intention.

The distinctive model that emerged is insightful for senior executives and managers in the hospitality sector to understand the influence of deepfake video advertisements. This research provides the factors of hotel booking intention due to deepfake video advertisements, which are helpful for designers, developers, marketing managers and other stakeholders in the hotel industry.

MR and IMT are integrated with variables such as PT and PV to explore the tourists' hotel booking intention after watching deepfake video advertisements. It is the first step toward deepfake video advertisements and hotel booking intentions for tourists. It provides an empirically tested and validated robust theoretical model to understand the effect of deepfake video advertisements on hotel booking intention.

This study examined how marketer- and user-generated photographs jointly influence consumers' online hotel booking.

Viewing photographs as stimuli that influence consumers' online hotel booking, this study proposes a research model and validates that using one quasi-experiment.

The findings of this study provide some empirical insights. Marketers can release room- and scene-related photographs. Users can release product- and social-related photographs. The interaction between room-related photographs by marketers and product-related photographs by users can promote energetic arousal and dominance and then promote online booking intention. The interaction between scene-related photographs by marketers and social-related photographs by users can promote energetic arousal and dominance and then promote online booking intention. Pleasure, energetic arousal and dominance can positively influence the attitude toward photographs. Pleasure and energetic arousal can positively influence the attitude toward photographs and then positively influence booking intention. Dominance can positively influence booking intention.

The findings of this study reveal significant interaction effects between marketer- and user-generated photographs on consumers' online booking. The findings will help researchers and marketers better understand the impact of photographs on consumers' online hotel booking.

The primary purpose of this study was to examine the underlying consumer values that drive hotel booking mobile app users to engage more with the app and use the app continuously for hotel booking purposes.

By conducting confirmatory factor analysis (CFA) and structural equation modeling (SEM) on the data collected through the Qualtrics online survey platform from 506 respondents in the United States, the proposed measurements and structural models were tested.

The findings for both Generation Xers and Millennials revealed that hedonic and social values influenced mobile app engagement, which strongly influenced mobile app loyalty. Thus, to enhance customer engagement and indirectly influence mobile app loyalty, the app value delivery should appeal to social and hedonic values. Although the utilitarian values for using apps had a potential direct impact on mobile app loyalty, the mediation analysis showed that mobile app engagement, when connecting consumption values to mobile app loyalty, served as a full mediator for Generation Xers and a partial mediator for Millennials.

This study provides insights into how hotels and online travel agent (OTA) marketing managers may consider augmenting user engagement with hotel booking mobile apps. This study suggests that hoteliers and OTAs should further develop their user experience efforts to enhance the utilitarian features of their mobile app to increase revenue from repeat purchases. Additionally, this study provides implications for enhancing the hedonic and social features of hotel booking mobile apps to appeal to Millennials and Gen Xers.

This study developed and assessed an integrated model to investigate the relationships between consumption values, engagement and loyalty in hotel booking mobile apps. Furthermore, it examined generational cohorts' role in the relationships between these constructs.

Taking a global perspective, this paper aims to examine the impact of COVID-19 on Airbnb booking activities through three critical perspectives – the initial Wuhan lockdown, local COVID-19 cases and local lockdowns.

Using Airbnb reviews and cancellations as proxies for Airbnb bookings on a global scale, econometrics was used to examine the impacts of the initial Wuhan lockdown, local COVID-19 cases and local lockdowns on Airbnb bookings.

The authors find that local lockdowns result in a 57.8% fall in global booking activities. Every doubling of newly infected cases is associated with a 4.16% fall in bookings. The sensitivity of bookings to COVID-19 decreases with geographic distance to Wuhan and increases with government stringency of lockdown policies and human mobility within a market.

The empirical evidence from this research can provide governments with insights into more accurate assessment of the financial loss of Airbnb hosts so that proper support can be offered based on the financial needs because of due to sudden lockdown.

This research contributes to new knowledge on peer-to-peer accommodation during a time of crisis and provides much needed global evidence to understand the impacts of COVID-19 on the accommodation industry.

This study aims to assess if the benefits outweigh the costs of participation in online travel agencies (OTAs) such as Booking.com.

A two-step system generalised method of moments estimation of a regression model of firm-level return on assets (ROA) is used on a dummy variable indicating whether a lodging facility participates in Booking.com. The assessment contained various control variables, including size, age, leverage, liquidity and lagged ROA. The moderating effect of firm age and size was studied by including interaction variables between the Booking.com dummy and age and size, respectively. The model was estimated using participation and financial data of 775 Belgian firms over a 20-year period (1999–2018).

The findings indicate that participation in Booking.com is associated with higher profitability, with this effect more economically important and pronounced for smaller hotel properties.

The study provides a broadly applicable empirical model to assess the impact of platform participation on the financial performance of tourism, hospitality or retail businesses.

The study provides empirical evidence that, from a transaction cost perspective, the benefits of participation in OTAs outweigh the costs, resulting in substantially higher profitability. The evidence can be used to justify the use of OTAs as distribution channels.

While prior studies have described and conceptually analysed the evolution and role of OTAs in the hotel sector, and speculated on the net effect of OTA participation, to the best of the authors’ knowledge, this is the first study to empirically assess whether OTA participation creates value for hotel owners and investors.

本文采用了两步系统GMM的估计方法, 用一个虚拟变量指示住宿设施是否参与了Booking.com, 以确定企业级别的资产回报率（ROA）的回归模型。评估涵盖了多种控制变量, 包括公司规模, 年限, 杠杆, 流动性和滞后资产回报率。企业年龄和规模的调节作用是通过加入Booking.com虚拟变量与年龄和规模之间的交互变量实现的。该模型是使用20年（1999–2018年）间775家比利时公司的参与和财务数据估算得出的。

本文目的是评估收益是否超过了参与Booking.com等在线旅行社（OTA）的成本。

研究结果表明, 参与Booking.com与更高的获利能力相关联。这种影响在经济上更加重要, 并且对于较小的酒店物业而言更为明显。

该研究提供了广泛适用的经验模型, 以评估平台参与对旅游业, 酒店业或零售业的财务绩效的影响。

该研究提供了重要的实证依据。从交易成本的角度来看, 参与OTA的收益大于成本, 从而大大提高了盈利能力。该实例证明了使用OTA作为分销渠道是合理的。

尽管先前的研究已经描述并从概念上分析了OTA在酒店领域的演变和作用, 并推测了OTA参与的净效应, 但据我们所知, 这是第一个凭经验评估OTA参与是否为酒店所有者和投资者创造价值的研究。

Una estimación GMM en dos pasos de un modelo de regresión del rendimiento de los activos (ROA) a nivel de empresa sobre una variable ficticia que indica si un establecimiento de alojamiento participa en Booking.com. La evaluación contenía diversas variables de control, como el tamaño, la edad, el apalancamiento, la liquidez y el ROA retardado. El efecto moderador de la edad y el tamaño de la empresa se estudió incluyendo variables de interacción entre la variable ficticia de Booking.com y la edad y el tamaño, respectivamente. El modelo se estimó utilizando datos de participación y financieros de 775 empresas belgas durante un periodo de 20 años (1999–2018).

Evaluar si los beneficios superan los costes de la participación en agencias de viajes online (OTAs) como Booking.com.

Los resultados indican que la participación en Booking.com está asociada a una mayor rentabilidad, siendo este efecto más importante y pronunciado desde el punto de vista económico para las propiedades hoteleras más pequeñas.

El estudio proporciona un modelo empírico ampliamente aplicable para evaluar el impacto de la participación en la plataforma en los resultados financieros de las empresas turísticas, hoteleras o minoristas.

El estudio proporciona pruebas empíricas de que, desde la perspectiva de los costes de transacción, los beneficios de la participación en las OTAs superan los costes, lo que se traduce en una rentabilidad sustancialmente mayor. Las pruebas pueden utilizarse para justificar el uso de las OTAs como canales de distribución.

Aunque estudios anteriores han descrito y analizado conceptualmente la evolución y el papel de las OTAs en el sector hotelero, y han especulado sobre el efecto neto de la participación en las OTAs, hasta donde sabemos, éste es el primero que evalúa empíricamente si la participación en las OTAs crea valor para los propietarios e inversores de hoteles.