Search results

This paper examines the post-COVID-19 travel intentions to Kenya among Hong Kong outbound travelers using the theory of planned behavior (TPB) over three different time horizons of 1, 5, and 10 years.

An extension was made by including two new constructs of perceived destination image and travel constraints. A cross-sectional sample of Hongkongers was surveyed. Data were collected using a self-administrated bilingual (English and Chinese) online survey. Exploratory factor analysis, linear regression and mediation analysis were conducted to test the research model.

The findings from 216 Hongkongers reveal that different combinations of the four constructs, namely, perceived behavioral control, attitude, subjective norms, and destination image, share a positive effect on individuals' travel intention to Kenya over the three different time horizons. Travel constraints act as a significant negative mediator on the four constructs in predicting travel intention to Kenya among Hongkongers.

The results provide useful insight to Kenya's destination marketing organization (DMO) and Hong Kong outbound travel agencies to integrate prominent elements into marketing strategies to arouse travel intention and expand their business prospects, which will also accelerate tourism recovery in the post-pandemic era.

By integrating two extended variables into the TPB model, this study makes a contribution by overcoming the deficiency of the original theory.

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 study aimed to explore how the attributes of heritage destinations become constraints on tourists' intention to revisit these destinations and to provide stakeholders with strategies to mitigate travel constraints, thereby increasing tourists' revisit intention.

A quantitative research approach was used, and data collection utilised a convenience sampling method. A total of 1,250 tourists completed self-administered, on-site surveys. To analyse the collected data effectively and to test hypotheses, multilevel analysis models were created.

Heritage-destination attributes are found to mediate the impact of perceived constraints on tourists' intention to revisit heritage destinations. Positive perceptions of heritage and cultural attractions among tourists can mitigate the adverse effects of constraints on their intentions.

This study only focused on examining the downward cross-level impact, i.e. from the macro level to the individual level. This could be beneficial for exploring an upward cross-level impact.

The findings provide strategic guidance for marketing programs to enhance the reputation of heritage destinations. By identifying and establishing attributes specific to heritage destinations that visitors perceive as the most appealing, program designers can effectively target their efforts. Additionally, the findings help stakeholders of heritage destinations develop and provide suitable heritage and cultural attractions and tourism infrastructure in line with tourists' preferences.

This study employed a multilevel approach to examine how heritage-destination attributes and related constraints on travelling on impact individuals' intentions to revisit destinations. The study considered a macro-based perspective to analyse these effects.

The world today is heavily controlled by the content available on the internet, where a one-star rating gain may work wonders for a company and a one-star rating decline can cause huge damage. Online booking platforms provide more freedom, privacy and contact with experienced travelers than physical hotel booking. The study identifies the factors shaping travelers' online hotel booking intention (OHBI).

We utilized structural equation modeling (SEM) to expand the horizons of the technology acceptance model (TAM) and stimulus-organism-response (SOR) framework in the hospitality sector. The results are based on the data collected from 705 travelers who made online hotel reservations.

The findings demonstrate that online reviews, hotel website quality and hotel website convenience quotient favorably shape prospective tourists' perceived trust, magnifying their inclination to book a hotel online. Website convenience quotient and trust partially mediate the association between the constructs. In addition, the linkage between perceived trust and OHBI is strengthened by promotional offers but weakened by perceived risk.

Our findings provide several important implications for hotel managers, prospective travelers, hotel owners, website developers, policymakers, hotel employees, the local community and competitors to expedite the growth of the Indian hotel industry.

The literature reveals that website convenience quotient, perceived trust and promotional offers have not received enough attention in the hospitality industry and warrant attention. Our study strives to broaden the scope of the TAM and SOR models to better understand these constructs in the backdrop of the Indian hospitality sector. The study also examines how promotional offers and perceived risk influence the linkages between the underlying constructs.

This paper aims to present a research framework examining how hotel ratings can be affected by travel purposes (business vs leisure). It explores theoretical foundations, introduces hypotheses and outlines the methodology used in six studies to investigate connections between trip types, work-related factors, hotel ratings and other variables. The goal is to enhance understanding of factors influencing consumer hotel evaluations, with implications for hospitality industry service design and marketing strategies.

The study uses a multi-method approach to investigate the impact of trip type (business vs leisure) on hotel ratings. The theoretical framework is rooted in perceptual frameworks that shape the evaluation of travel experiences. The research proposes and tests several hypotheses through six studies, using diverse data sources and methods for enhanced reliability.

This study shows that business travelers consistently give lower hotel ratings than leisure travelers, with work-related concerns playing a crucial role. Consumers’ perceived lack of hospitality during a business trip diminishes work-related concerns and hotel ratings. Similarly, low empathy from hotel workers leads to reduced work concerns and lower ratings. The research provides actionable insights for hotel management to enhance services for business and leisure travelers, emphasizing the importance of addressing work-related considerations to improve overall satisfaction.

This study uniquely explores the contrasting influences of business and leisure travel on hotel evaluations, focusing on how work-related concerns mediate these relationships. By employing a comprehensive approach that includes secondary data, experiments, and sentiment analysis, it uncovers how business travelers' stressors lead to lower hotel ratings compared to leisure travelers who prioritize relaxation. The research introduces novel insights into how factors like extended stays and staff empathy can mitigate these negative effects, offering actionable recommendations for hotel management. This work enriches the hospitality literature by providing a deeper understanding of how trip types impact guest satisfaction and proposes targeted strategies to enhance service quality for different traveler segments.

本文提出了一个研究框架, 探讨酒店评分如何受旅行目的（商务与休闲）的影响。研究探讨了理论基础, 提出了假设, 并概述了六项研究中使用的方法, 以调查旅行类型、与工作相关的因素、酒店评分及其他变量之间的联系。本研究目标是加深对影响消费者酒店评价因素的理解, 对酒店行业的服务设计和营销策略具有重要意义。

研究采用多方法的路径, 探讨旅行类型（商务与休闲）对酒店评分的影响。理论框架基于感知框架, 以塑造了对旅行体验的评价。研究通过六项研究提出并测试了多个假设, 利用多种数据来源和方法以增强可靠性。

本研究表明, 商务旅客给出的酒店评分一贯低于休闲旅客, 工作相关的忧虑起着关键作用。消费者在商务旅行期间感受到的缺乏热情的款待会加重工作相关的忧虑, 降低酒店评分。同样, 酒店员工的低同理心会加剧工作忧虑, 导致评分降低。研究为酒店管理提供了可操作的见解, 以提升针对商务和休闲旅客的服务, 强调了解决工作相关考虑因素以提高整体满意度的重要性。

研究的优势在于方法多样性和样本量庞大, 增强了研究结果的可靠性和普遍性。多项研究的方法全面探讨了研究问题, 为学术界和酒店行业提供了宝贵的见解。

Objetivo-Este documento presenta un marco de investigación en el que se examina cómo las valoraciones de los hoteles pueden verse afectadas por el tipo de viaje (negocios vs. ocio). Explora los fundamentos teóricos, introduce hipótesis y esboza la metodología utilizada en seis estudios para investigar las conexiones entre los tipos de viaje, los factores relacionados con el trabajo, las valoraciones de los hoteles y otras variables. El objetivo es mejorar la comprensión de los factores que influyen en las evaluaciones hoteleras de los consumidores, con implicaciones para el diseño de servicios y las estrategias de marketing de la hostelería.

El estudio emplea un enfoque multimétodo para investigar el impacto del tipo de viaje (negocios vs. ocio) en las valoraciones de los hoteles. El marco teórico se fundamenta en los marcos de referencia sobre la percepción que conforman la evaluación de las experiencias de viaje. La investigación propone y prueba varias hipótesis a través de seis estudios, utilizando diversas fuentes de datos y métodos para mejorar la fiabilidad.

Este estudio demuestra que los viajeros de negocios dan sistemáticamente valoraciones más bajas a los hoteles que los viajeros de ocio, y que las preocupaciones relacionadas con el trabajo desempeñan un papel crucial. La falta de hospitalidad percibida por los consumidores durante un viaje de negocios disminuye las preocupaciones relacionadas con el trabajo y las valoraciones de los hoteles. Del mismo modo, la escasa empatía de los trabajadores de los hoteles hace que disminuyan las preocupaciones laborales y las valoraciones. La investigación ofrece ideas prácticas para que la dirección de los hoteles mejore los servicios a los viajeros de negocios y de ocio, haciendo hincapié en la importancia de abordar las consideraciones relacionadas con el trabajo para mejorar la satisfacción general.

La importancia de esta investigación reside en la diversidad metodológica y el amplio tamaño de la muestra, que aumentan la fiabilidad y generalizabilidad de los Resultados. El enfoque multiestudio explora de forma exhaustiva las preguntas de la investigación, proporcionando valiosas perspectivas para el mundo académico y la industria de la hostelería.

This paper aims to explore the role of blockchain (BCT) and Artificial Intelligence (AI) technologies in enhancing and incentivizing environmentally responsible, socially inclusive and economically viable tourism practices within the hospitality and tourism (H&T) industry.

This study is based on a critical reflection research approach that enables a synthesis of information derived from existing literature's insights and the authors' experiences and observations. By examining frameworks and theories in the literature, critical reflection also helps develop a more comprehensive understanding of the topic.

This study portrays how BCT could be used to track the sustainability credentials of tourism providers and how AI can optimize energy usage in hotels. This study depicts how adopting technology-driven sustainable practices in the H&T industry can increase profitability, improve reputation, compliance with regulations, efficiency and a better guest experience.

The study suggests targeted actions and policy frameworks that can be tailored to different stakeholder groups (hospitality businesses, policymakers and tourists) to overcome barriers and maximize the positive societal and environmental impacts of adopting BCT and AI for sustainable tourism.

The originality of this study lies in its ability to offer new perspectives and novel recommendations on the diverse uses of AI and BCT in the context of sustainable tourism. Furthermore, the study provides strategic and policy elements (Targeted actions and policy frameworks) for stakeholders to integrate sustainable tourism practices using BCT and AI successfully. This study differs from earlier review studies that primarily focused on adopting emerging technologies and ignoring the sustainability angle in the use of technology.

This study addresses tourists' post-consumption perspectives on the impact of online destination experiences and animosity on travel decisions. Developing a framework based on the stimulus-organism-response (SOR) theory, we examine the previously unexplored relationship between post-negative events, online destination brand experience (ODBE), tourists' animosity and destination boycott intentions within the domestic tourism context.

Data from 355 actively engaged domestic travelers in Pakistan who follow destination social media pages (i.e. Instagram and Facebook) was analyzed using structural equation modeling.

The findings reveal that post-negative events ODBE significantly stimulate tourists' animosity, which in turn drives destination boycott intentions. The ODBE indirectly affects boycott intentions through animosity, acting as a partial mediator. The analysis highlights the significance of the users' prior experience levels (novice vs experienced). Multigroup analysis shows that novice visitors are more sensitive to negative online experiences, resulting in stronger animosity than experienced visitors. Animosity significantly drives boycott intentions, particularly among experienced visitors.

This study’s novelty lies in its comprehensive examination of post-negative events, focusing on how the ODBE influences tourists' negative emotions and boycott intentions. These findings offer valuable insights for tourism researchers and destination marketers, underscoring the importance of optimizing post-service failure ODBE strategies for brand repair, online reputation management, digital marketing innovation and customized service recovery to mitigate the impact of negative events.

Tourism, Technology and Climate Change: The tourism industry is indispensable both for its socio-cultural offerings and its profound economic implications. The economic multiplier effects inherent in the drivers of tourism can stimulate the regional economy even before these areas emerge as tourism meccas. While vast amounts of research have detailed tourism's overarching significance, there is an evident void in understanding its multifaceted impacts, particularly where technological advances, environmental performance (EP) and economic benefits converge. A thorough examination of 907 research records led to this chapter, which identifies these gaps by referencing nine observational and 11 intervention studies. Achieving a Cohen's kappa value of 0.75, the authors note a strong consensus among reviewers, adhering to Cohen's (1940) standards. The findings from the first quarter highlight several areas within the tourism industry that have been under-researched. Particularly, the integration of technology, from ATM infrastructures enhancing tourist financial experiences to digital platforms elevating traveller education and awareness, and tech-driven solutions addressing demographic and ethical considerations in tourism, remains insufficiently explored. Additionally, the authors recognise an existing gap in knowledge regarding the nexus between tourism development and its climatic repercussions, especially before tourism ventures are fully realized. This chapter aims to channel future research into these lesser-trodden areas, fostering a comprehensive grasp of tourism's evolution in the face of rapid technological advancements and its interplay with environmental shifts.

This study investigates the service quality dimensions of hotel resorts in renowned beach destinations of Thailand. It also explores the relationship between review text sentiment expressed in online platforms and the satisfaction ratings provided for those reviews.

The study employs a two-step analysis approach: first, supervised and unsupervised machine learning via support vector machine (SVM) and latent Dirichlet allocation (LDA) are used to identify service quality dimensions, and second, SmartPLS with PROCESS macro is applied to analyze the moderating roles of quality signals and reviewer’s experience on the relationship between sentiment and satisfaction rating. The dataset comprises 102,179 online reviews from TripAdvisor, focusing on 187 selected hotels rated from 3 to 5 stars.

Eight service quality dimensions were identified, including leisure activities, tangibles and surroundings, reliability, responsiveness, service process, food, empathy and ambience. The study underscores that the service process stands as the sole dimension exhibiting negative sentiment. Furthermore, the analysis revealed a robust positive association between sentiment of review texts and satisfaction, and reviewers’ experience and brand affiliation influenced the relationship between customer sentiment and satisfaction.

Hotel managers should focus efforts on maintaining tangible aspects while enhancing existing service quality level of other dimensions, particularly those related to intangible elements. Independent hotels might implement quality audit to ensure that service quality gaps are monitored.

This study contributes an examination of the moderating roles of quality signals and reviewer’s experience on the relationship between review sentiment and satisfaction rating in online reviews.

The adoption and usage of information and communication technology (ICT) has introduced transformation in the tourism arena with ICT applications extensively used in tourism industry. In addition to ICT, an advanced infrastructure is essential for the development of tourism industry. Thus, the goal of present research is to probe the impact of ICT and infrastructure on tourism development (TD) in 28 Asian economies using method of moments panel quantile regression (MM-QR) model introduced by Machado and Silva (2019) applied to a panel data from 2008 to 2020. Empirical findings demonstrate that there is an asymmetric non-linear effect of ICT and infrastructure through all quantile range. This indicates that ICT has negative effect on TD in poor countries while positive impact in rich countries. Negative impact in poor countries may be due to higher establishment cost and information technology (IT) productivity paradox. However, results confirm the importance of ICT and infrastructure in endorsing the development of tourism sector in Asian nations by lessening time and money costs and facilitating travelers.