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Dynamics of hotel bookings: identifying key drivers of hotel conversion rate
Luchi, Piero; Heo, Cindy Yoonjoung; Nobre Pereira, Luis; Viverit, Luciano; Contessi, DanieleAll hotels receive numerous booking requests every day, either directly or through online travel agencies, but only a small percentage of these requests are converted into reservations. Low conversion rates generate an additional layer of uncertainty into the hotel demand function and pose a challenge for revenue maximization. Consequently, optimizing the conversion rate is a top priority for all hotel managers...
Resident empowerment in all-inclusive context: cost–benefit perception and supp...
Santos, Edson Redy Moreira dos; Nobre Pereira, Luis; Pinto, Patrícia; Ribeiro, Manuel AlectorThis study examines the relationships among resident empowerment, perceptions of tourism costs and benefits, and support for sustainable tourism development (SSTD) in a small island destination dominated by all-inclusive resorts. Using survey data from 341 residents in Cape Verde and employing PLS-SEM analysis, results reveal significant relationships between empowerment, benefits, and SSTD. The perception of a...
Hotel demand forecasting models and methods using artificial intelligence: a sy...
Henriques, Henrique; Pereira, Luis Nobre; Henriques, Henrique; Nobre Pereira, LuisThis systematic literature review (SLR) explores current state-of-the-art artificial intelligence (AI) methods for forecasting hotel demand. Since revenue management (RM) is crucial for business success in the hotel industry, this study aims to identify state-of-the-art effective AI -based solutions for hotel demand forecasting, including machine learning (ML), deep learning (DP), and artificial neural networks...
Decoding the future: proposing an interpretable machine learning model for hote...
Contessi, Daniele; Viverit, Luciano; Nobre Pereira, Luis; Heo, Cindy YoonjoungAccurate hotel occupancy forecasting is vital for optimizing hotel revenue, yet interpretable machine learning tools lack extensive research. This paper presents a two-step approach utilizing historical and advanced booking data. Principal Components Analysis (PCA) groups similar patterns in booking curves, followed by a pickup forecasting model to predict occupancy. Evaluating the approach using real booking d...
Imperialism, empowerment, and support for sustainable tourism: Can residents be...
Santos, Edson Redy Moreira dos; Nobre Pereira, Luis; Pinto, Patrícia; Boley, B. Bynum; Ribeiro, Manuel AlectorResident empowerment is an effective tool that contributes to the sustainable development of tourism. However, in many low-income countries, tourism is usually implemented through an imperialist tourism development model, questioning the sector's true intentions for this type of development. Within this backdrop, this study aims to investigate how, under such conditions, residents' perception of imperialism is ...
Building bridges between residents and tourism: attitudinal support, emotional ...
Lança, Milene; Nobre Pereira, Luis; Renda, Ana Isabel; Marques, João Filipe; Ramos, Celia; Martins Guerreiro, Maria Manuela; Hio Kuan LaiThis study explores the relationships between residents' attitudes in support of tourism, emotional solidarity with tourists and willingness to engage in pro-tourism behaviours. Residents' support for tourism hinges on their perceived benefits and costs, as influenced by theories such as the Social Exchange Theory and the Theory of Reasoned Action. Despite extensive research on residents' attitudes and tourism ...
Development and validation of the new resident empowerment through Tourism Scal...
Santos, Edson Redy Moreira dos; Pereira, Luís Nobre; Pinto, Patrícia; Boley, B. Bynum; Nobre Pereira, Luis; Pinto, PatríciaThis study developed a new version of the Resident Empowerment through Tourism Scale - the RETS 2.0 by integrating two new dimensions of empowerment - economic and environmental empowerment - that the original RETS left off. The RETS 2.0 also abbreviates the original RETS to three items per a construct, reducing response burden, and opening up space for measuring different antecedents and outcomes of empowermen...
The online destination image as portrayed by the user-generated content on soci...
Martins Guerreiro, Maria Manuela; Ramos, Celia; de Matos, Nelson Manuel da Silva; Golestaneh, Seyed Homayoun; Sequeira, Bernardete; Nobre Pereira, LuisTourism Destination Image (TDI) is complex, dynamic and multidimensional by nature and shaped by a multitude of events, interactions and sensory impressions, especially once the tourist is at the destination, generating tourists' engagement on social media networks. This study aims to measure the online destination image (ODI) portrayed in user-generated content (UGC) on social media by employing the sentiment ...
Participatory development and management of eco-cultural trails in sustainable ...
Lukoseviciute, Goda; Henriques, Cláudia Helena; Nobre Pereira, Luis; Panagopoulos, ThomasRecent trail development has been motivated by sustainable tourism destination principles, suggesting a paradigm incorporating an eco-cultural trail concept. As with conventional trails, eco-cultural trail destination governance necessitates coordinated development and management of all landscape elements, emphasizing and protecting cultural and natural assets. This research aims to provide a sustainable strate...
An assessment model of the Algarve as a sustainable tourism destination: a conc...
Nobre Pereira, Luis; Muhs, Christina Susanne; Andraz, Jorge; Nunes, Rui Miguel da Cunha; Lança, Milene; Silva, joãoSustainable tourism assessment models emphasize the need for holistic, integrated evaluations of tourism destinations, particularly in mature and mass tourism areas. While best practices can be shared, each destination requires a tailored approach, considering its unique features like infrastructure and natural assets. Research shows that sustainable tourism should involve continuous evaluation rather than a on...