Percorrer por autor "de Matos, Nelson Manuel da Silva"
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- Beyond physical accessibility: a bibliometric analysis about the influence of digital communication and the use of technology on inclusive tourism in WCAG 3.0 era—tourism for all from a more accessible content perspectivePublication . Fernández-Díaz, Elena; de Matos, Nelson Manuel da Silva; Correia, Marisol B.This study aims to analyze the impact of digital communication and the use of technology in tourism. It also evaluates how new digital and technological trends, such as mobile applications and emerging virtual or augmented reality technologies, can be applied to web pages. Information that is not accessible becomes another barrier for travelers with disabilities and does not contribute to the concept of "tourism for all." A bibliometric analysis through Web of Science (WoS) of published articles related to the influence of digital communication and the use of technology in tourism. A total of 290 articles were analysed using VOSviewer and SciMAT. The web accessibility does contemplate the regulations currently in force and therefore progress continues to be slow in this aspect. Also, technology together with new digital communication channels improve the experience of tourists and visitors to a destination, in turn impacting on their quality of life and enhancing "Tourism for all". Furthermore, it is determined that the "phygital" concept takes on special relevance since many studies are aimed at combining both dimensions so that if a space complies with accessibility regulations, they are also considered from the information point of view in its digital sphere. This study provides an evolution of digital accessibility from a technological and communicational perspective by combining two complementary analyses and allows us to understand tourist behavior from a more inclusive aspect. There are important gaps in other areas of study, especially focused on stakeholders' knowledge of the importance of making improvements in tourism for all.
- A bibliometric analysis: wine tourism in the sectorPublication . Gómez-Carmona, Diego; Marín-Dueñas, Pedro Pablo; Correia, Marisol B.; Escobar, Marta Toribio; de Matos, Nelson Manuel da Silva; Cruces-Montes, Serafín JesúsThe term “wine tourism” was first used in 90’s from Australia. The definition of ecotourism has been studied by many academics throughout its history, reaching the conclusion that it is the activities carried out by people outside their usual environment in a given period of time related to the viticulture of the environment and wine. This study aims to enhance knowledge in the wine tourism field by employing bibliometric methods to quantitatively analyze its evolution over the past two decades. This analysis shows that from 2019 onwards, publications increased considerably, reaching a peak in 2020, mostly (linking with COVID-19 lockdown). In the areas of geography and economics, as research in the area of tourism is still very recent. The conceptual analysis shows the variety of terms used by researchers and how they have evolved over time, the most commonly used being "touristic" and "vineyard", with others appearing such as "meal" connected to "winery waste" or "tourism development", which are more akin to current management.
- Broadening tourism experience and destination imagePublication . Martins Guerreiro, Maria Manuela; Pinto, Patrícia; Bagheri, Fatemeh; de Matos, Nelson Manuel da SilvaAlthough previous studies deal with tourism experience, destination image and related outcomes, this study innovates by elaborating on a more comprehensive view of the tourism experience and destination image. Guided by suggestions for more research in the relevant literature, this study examines the correlation between tourism experience, experiential destination image, tourism memory, satisfaction and loyalty and explores domestic and international tourists. The data were collected from tourists visiting the Algarve, Portugal, in 2021. A multi-group analysis determined the main differences between domestic and international tourists. The results show that the tourist experience has five dimensions: active learning, emotional engagement, passive entertainment, immersive escape, and aesthetic appeal. Furthermore, tourism experiences of both domestic and international tourists positively affect the cognitive image of the Algarve. There is a significant difference among domestic and international tourists regarding the impact of tourism memory on tourists' loyalty. Theoretical and managerial implications, limitations, and potential directions for future research are discussed.
- Multimodal sentiment classifier framework for different scene contextsPublication . Cardoso, Pedro; Rodrigues, Joao; de Matos, Nelson Manuel da SilvaSentiment analysis (SA) is an effective method for determining public opinion. Social media posts have been the subject of much research, due to the platforms’ enormous and diversified user bases that regularly share thoughts on nearly any subject. However, on posts composed by a text–image pair, the written description may or may not convey the same sentiment as the image. The present study uses machine learning models for the automatic sentiment evaluation of pairs of text and image(s). The sentiments derived from the image and text are evaluated independently and merged (or not) to form the overall sentiment, returning the sentiment of the post and the discrepancy between the sentiments represented by the text–image pair. The image sentiment classification is divided into four categories—“indoor” (IND), “man-made outdoors” (OMM), “non-man-made outdoors” (ONMM), and “indoor/outdoor with persons in the background” (IOwPB)—and then ensembled into an image sentiment classification model (ISC), that can be compared with a holistic image sentiment classifier (HISC), showing that the ISC achieves better results than the HISC. For the Flickr sub-data set, the sentiment classification of images achieved an accuracy of 68.50% for IND, 83.20% for OMM, 84.50% for ONMM, 84.80% for IOwPB, and 76.45% for ISC, compared to 65.97% for the HISC. For the text sentiment classification, in a sub-data set of B-T4SA, an accuracy of 92.10% was achieved. Finally, the text–image combination, in the authors’ private data set, achieved an accuracy of 78.84%.
- Technological transformation: the importance of E-WOM and perceived privacy in the context of opinion platformsPublication . Gelashvili, Vera; Martínez-Navalón, Juan Gabriel; de Matos, Nelson Manuel da Silva; Correia, Marisol B.Opinion platforms are the result of technological advances that have increased the importance for users to check other users' opinions about products and services before making a purchase. The aim of this research paper is twofold: (i) to analyse whether there is a direct and positive relationship between the privacy of Google Maps users and variables such as satisfaction and trust, and (ii) whether the E-WOM of Google Maps is related to the satisfaction and trust of its users. To achieve the objectives of the study, a questionnaire was collected from users of Google Maps reviews in Spain. A total of 375 valid responses were analysed using PLS-SEM methodology. In particular, structural model analysis was used for the formative and reflective variables. This study sheds new light on opinion platforms and their usefulness for efficient business management, as well as specifying the importance of user privacy for their satisfaction. The importance of E-WOM for user satisfaction, trust and privacy is emphasised. The findings underline the importance of technological advances for different stakeholders and society. This study reduces the gap in the usefulness of opinion platforms, especially Google Maps, and contributes to the academic literature on the variables studied.
- The online destination image as portrayed by the user-generated content on social media and its impact on tourists' engagementPublication . Martins Guerreiro, Maria Manuela; Ramos, Celia; de Matos, Nelson Manuel da Silva; Golestaneh, Seyed Homayoun; Sequeira, Bernardete; Nobre Pereira, Luis; Agapito, Dora Lúcia Miguel; Rafaela Martins; Wikesjö, MagdaTourism 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 analysis method. Data were extracted from Facebook and Instagram on the Visit Algarve social media profile. The Algarve region is situated in the south of Portugal and is one of Europe's most popular tourist destinations. The main results shed light on the relevance of intangible heritage experiences as triggers of positive feelings about the destination. Content shared about tourists' activities in the region generates more engagement in the tourism destination's social media. Tangible heritage received the lowest rated sentiment, and destination agents should strategically look into it as there are opportunities for destination management. Tourism infrastructure has the lowest engagement value; therefore, in terms of promotion, it does not generate interest.
- Turismo gastronómico experiencial: análise do conceito a partir na perspectiva da sustentabilidadePublication . Neves, Marianys Girão Fernandez; de Matos, Nelson Manuel da Silva; Perdigão Alexandre Ribeiro, FilipaO turismo gastronómico constitui uma ferramenta poderosa no desenvolvimento das comunidades pelo valor agregado à experiência turística, daí a atenção dos diferentes stakeholders no que respeita ao aprofundamento dos estudos na perspetiva da sustentabilidade, bem como para fomentar as práticas sustentáveis. Através da análise do contexto e da evolução do conceito, esta investigação pretende elaborar um marco teórico das experiências gastronómicas sustentáveis.
- Unveiling the impacts of tourist experiences on experiential image, satisfaction, and loyalty: a study in Algarve, a European premier beach destinationPublication . Martins Guerreiro, Maria Manuela; Pinto, Patrícia; de Matos, Nelson Manuel da Silva; Bagheri, Fatemeh; Sequeira, Bernardete; Parra, AnaThis study extends the experiential image concept by presenting a new approach. The experiential image refers to the holistic image tourists form and retain during their visit to a destination. The research involved diverse stakeholders (professionals, academics, and tourists) and draws on a large proportionally stratified sample of 2709 tourists. Exploratory factor analysis and structural equation modeling were used to determine the relevance of tourists' destination experiences to the formation of the experiential image. Specifically, experiential image was measured in the cognitive dimension through six factors: infrastructures, local culture, eco-friendly features, entertainment, local gastronomy, and landscape. The subsequent affective dimension was measured through three factors: joyful, family-safe, and glamorous. The results demonstrate how tourists' experiences shape their experiential image, satisfaction, and loyalty. The study's novel approach also has considerable relevance for other similar destinations that can benefit from the tested conceptual framework.