Tourists’ preferences for hotel booking

Boto‐García, David; Zapico, Emma; Escalonilla, Marta; Baños-Pino, José

doi:10.1016/j.ijhm.2020.102726

Cited by 20 publications

(13 citation statements)

References 76 publications

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“…Reservation services were first proposed in the study of medical outpatient service in the 1950s [22] and later were widely applied to the transportation industry such as railway [23] and aviation [24], as well as other industries such as tourism [25], in particular, the hotel industry [26]. In recent years, travel reservations have developed rapidly with the progression of information technology [9]. Currently, tourists can directly book a hotel room/tourist attraction ticket through the official website or application provided by a third party [27].…”

Section: Travel Reservationsmentioning

confidence: 99%

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Online Reservation Intention of Tourist Attractions in the COVID-19 Context: An Extended Technology Acceptance Model

et al. 2022

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Travel reservation is an important way to improve tourist experiences and digitally manage tourist attractions in the COVID-19 context. However, few studies have focused on the online reservation intentions of tourist attractions and its influencing factors. Based on the theory of the technology acceptance model (TAM), two variables (perceived risk and government policy) are introduced to expand on the theoretical model. This study investigates the influence of subjective norms, government policy, perceived usefulness, perceived ease of use, and perceived risk on reservation intentions of tourist attractions. An online survey was conducted in China, and 255 questionnaires were collected. The data were analysed using SPSS 26.0 and AMOS 28.0 to construct a structural equation modelling and analyse the path. The findings show that (1) subjective norms have no significant impact on reservation behaviours under voluntary situations; (2) perceived usefulness positively affects tourists’ reservation intention; and (3) perceived risk has a significant negative impact on reservation intention, and government policy is the main factor affecting tourists’ reservation intentions. These findings enhance the understanding of tourists’ reservation intentions and extend the TAM theory. From the practice perspective, tourist attraction operators should continue to strengthen the construction of the reservation system, improve tourists’ experiences, reduce the perceived risk of tourists, and other stakeholders such as the government should strengthen cooperation, promote the reservation system, and create a good reservation atmosphere.

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Section: Travel Reservationsmentioning

confidence: 99%

“…Previous research on online travel reservation mainly focused on the hotel industry [8,9], lacking a focus on tourist attractions [10,11]. Tourists are the main users of reservation services for tourist attractions, so it is necessary to study their reservation intentions.…”

Section: Introductionmentioning

confidence: 99%

Online Reservation Intention of Tourist Attractions in the COVID-19 Context: An Extended Technology Acceptance Model

et al. 2022

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“…The development and use of new ICT tools and social media have also brought several changes in the tourism industry in terms of the reduction or the elimination of brokers, the introduction of new figures that facilitate the balancing of touristic demand and supply and increase of social capital through networking activities (Hernández‐Carrión et al, 2017; Lee & Hallak, 2020; Sanz‐Ibáñez et al, 2019). Tourists, nowadays, have access to a wide range of information such as for example on‐line reviews, photographs of the sites, and accommodation type (Bufquin et al, 2020; Jeon et al, 2018); they can compare among several suppliers and buy via internet by direct service booking (Boto‐García et al, 2021; San‐Martín et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

How does ICT influence residents' attitudes towards tourism as a driver of development? A generalised ordered logistic regression analysis

Lucia

Pazienza

Balena

2021

Journal of Tourism Research

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This study investigates the residents' attitudes to tourism as a driver of regional development and the impact of digital technologies on these perceptions. This work considers a 'lagging behind' region of the EU and employs a generalised ordered logit regression. The main findings suggest that the positive attitude is affected by the digital technology use, education, non-job variables and touristic products such as landscape, food and wine and events. As a result, the digital technology and the enhancement of touristic products may serve as important factors for 'lagging behind' regions to meet a smart, sustainable and inclusive growth.

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“…According to Kalyanaram and Winer [ 14 ], customers who refer to internal norms as a reference point are more sensitive and have different behavioral outcomes than external reference norms of prices. Understanding how customers behave toward prices is essential because different behavioral outcomes regarding customers’ needs affect their intentions to use or purchase the services [ 37 ]. Furthermore, as mentioned earlier, different prices led to different behavioral outcomes, and behavioral outcomes stimulated the intentions.…”

Section: Literature Reviewmentioning

confidence: 99%

Service Value and Repurchase Intention in the Egyptian Fast-Food Restaurants: Toward a New Measurement Model

Doeim

Hassan

Helal

et al. 2022

IJERPH

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Service value is a crucial dominant indicator in customer decision-making. However, there is a lack of hospitality literature that investigates the multi-dimensional service value in emerging markets. Thus, this study aims to create a multi-dimensional scale for service value and to analyze how different service value dimensions affect customers repurchase intentions at fast-food restaurants. We make a conceptual framework with eight constructs, including service value and repurchase intention. A self-administrated questionnaire is used to gather empirical data from fast-food restaurant customers in Egypt. We employ confirmatory factor analysis to extract the model’s reliability and validity. Moreover, we use a structural equation model to extract the model regressions and correlations using AMOS software. We find that each of the eight proposed service value variables impacts fast-food restaurant customers’ repurchase intention. However, the factors that strongly influence customers’ preferences to make more purchases are service equity, confidence benefits, service quality, and service reputation. We contribute to the literature on hospitality customer value and repurchasing intentions by presenting a comprehensive multi-dimensional service value framework that affects customers’ repurchase intentions in fast-food restaurants. Practically, eight service value variables can help managers of fast-food restaurants meet customer needs and gain a competitive advantage. We suggest many crucial recommendations to restaurant managers regarding the priority of the service value constructs. For example, managers should consider service equity, service quality, and service reputations as a priority of the restaurant service value.

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Tourists’ preferences for hotel booking

Cited by 20 publications

References 76 publications

Online Reservation Intention of Tourist Attractions in the COVID-19 Context: An Extended Technology Acceptance Model

Online Reservation Intention of Tourist Attractions in the COVID-19 Context: An Extended Technology Acceptance Model

How does ICT influence residents' attitudes towards tourism as a driver of development? A generalised ordered logistic regression analysis

Service Value and Repurchase Intention in the Egyptian Fast-Food Restaurants: Toward a New Measurement Model

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