CISeD - Artigo em revista científica, indexada ao WoS/Scopus
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- Cultural Routes Crossing Portugal: history and traditionsPublication . Paiva, Odete; Seabra, Cláudia; Abrantes, José LuísCultural routes across different regions create real opportunities to improve tourism dynamics, offering tourists more valuable experiences bringing benefits to the entire tourism value chain and to all tourism-related sectors (Perdomo, 2015). This study analyses the potential of a cultural and tourist product based on two routes in the Centre of Portugal, one following the path laid out by the 3rd French Invasion and another following the Historical National Road Nº2. The main goal is to investigate the attractiveness and market potential for the two routes specifically in the domestic market. Based on the results of a questionnaire applied to 622 domestic tourists, it became clear that these two routes are very attractive tourism products. This study provides valuable information about tourists’ purchase intention and about the amount of time and money, they are willing to spend to take each of the proposed routes.
- Multichannel service failure and recovery in a O2O era: A qualitative multi-method research in the banking services industryPublication . Reis, João; Amorim, Marlene; Melão, NunoThis article aims to investigate how service providers are employing their channels to support the handling of customer complaints in an online to offline era. It provides a timely contribution by characterizing multichannel recovery practices, discussing its implications for customers, and discovering new trends. The study employs a qualitative multi-method research, which includes not only more than one method of collecting data, but also more than one method of analyzing data. Data collection involved 50 records of customer complaints, 10 semi-structured interviews, direct observation and internal bank reports. The results suggest that multichannel customers are not willing to interact with a large number of channels to solve their problems leading to a high number of interactions. Customers expect a complex recovery not in terms of interactivity but in terms of depth. Recovery solutions, such as apologizing and monetary compensations are non-permanent solutions, are inefficient in the long term and imply financial losses. Despite the investment that is required, this investigation advocates for permanent solutions. To avoid service failures and complex recovery processes, it is possible that companies are improving their operations management in search of new strategies that are blurring the boundaries of O2O into a mix of offline and online channels (O2).
- Airbnb research: an analysis in tourism and hospitality journalsPublication . Andreu, Luisa; Bigne, Enrique; Amaro, Suzanne; Palomo, JesúsPurpose – The purpose of this study is to examine Airbnb research using bibliometric methods. Using research performance analysis, this study highlights and provides an updated overview of Airbnb research by revealing patterns in journals, papers and most influential authors and countries. Furthermore, it graphically illustrates how research themes have evolved by mapping a co-word analysis and points out potential trends for future research. Design/methodology/approach – The methodological design for this study involves three phases: the document source selection, the definition of the variables to be analyzed and the bibliometric analysis. A statistical multivariate analysis of all the documents’ characteristics was performed with R software. Furthermore, natural language processing techniques were used to analyze all the abstracts and keywords specified in the 129 selected documents. Findings – Results show the genesis and evolution of publications on Airbnb research, scatter of journals and journals’ characteristics, author and productivity characteristics, geographical distribution of the research and content analysis using keywords. Research limitations/implications – Despite Airbnb having a history of 10 years, research publications only started in 2015. Therefore, the bibliometric study includes papers from 2015 to 2019. One of the main limitations is that papers were selected in October of 2019, before the year was over. However, the latest academic publications (in press and earlycite) were included in the analysis. Originality/value – This study analyzed bibliometric set of laws (Price’s, Lotka’s and Bradford’s) to better understand the patterns of the most relevant scientific production regarding Airbnb in tourism and hospitality journals. Using natural language processing techniques, this study analyzes all the abstracts and keywords specified in the selected documents. Results show the evolution of research topics in four periods: 2015-2016, 2017, 2018 and 2019
- The influence of terrorism in tourism arrivals: A longitudinal approach in a Mediterranean countryPublication . Seabra, Cláudia; Reis, Pedro; Abrantes, José LuísThis longitudinal study examines the impact that terrorist attacks within a representative group of European countries can have on the tourism demand of a South European country with no record of terrorism attacks. In order to analyze the connections between terrorist attacks and tourists' arrivals, occurred between 2002 and the end of 2016, an Unrestricted Vector Autoregressive model was used for multivariate time series analysis. The main results show that terrorist attacks have a strong impact on tourist arrivals and confirm the existence of terrorism spillover, namely the substitution and generalization effects phenomena.
- Exploring the antecedents and outcomes of destination brand lovePublication . Amaro, Suzanne; Barroco, Cristina; Antunes, JoaquimPurpose This study aims to apply the concept of brand love to a destination and investigate its antecedents and consequences. It also explores the moderating effects of time elapsed since the establishment of the destination brand love relationship on the outcomes of destination brand love. Design/methodology/approach A total of 5,511 valid responses were obtained from an online survey distributed among former international students from the Erasmus program of the European Union. Partial least squares structural equation modeling was conducted to assess the hypotheses. Findings Destination brand love was found to have a significant impact on electronic word of mouth (eWOM), WOM, WOM intensity, recommendation and revisit intention. Moderation analysis revealed that the amount of time elapsed since the establishment of the destination brand love relationship did not affect these outcomes. Moreover, destination image and the Erasmus experience had a positive effect on destination brand love. Practical implications Destination marketers should focus on enhancing the Erasmus experience and on improving destination image perception, as these factors help develop destination brand love. Marketers should also be aware that this relationship has long-lasting effects. Originality/value This study adds to the sparse literature on brand love in relation to a destination. This gives the first results for the importance of Erasmus students to the promotion of a host country. It also contributes to the question of how long the brand love relationship can last.
- A Reappraisal of the Causal Relationship between Sentiment Proxies and Stock ReturnsPublication . Reis, Pedro; Pinho, CarlosThis article investigates the suitability of 13 investor sentiment proxies as causal explanations for monthly stock returns of the European S&P 350 constituents over 45 years. We analyzed a sample of 362 companies covering 16 European countries. Analyses incorporate multiple categories of investor sentiment arising from market or survey data, as well as technical analysis, risk measures, company fundamentals and macroeconomic variables. In addition, we provide an extended review of sentiment proxy measures based on market data. This work applied general model of moments (GMM) to dynamic panel data to estimate short-run and long-run influences along with Granger causality. Our findings demonstrate the role of several investor sentiment measures in predicting stock returns even after controlling for variables such as fundamentals, macroeconomic, market and technical analysis. Together, sentiment measures of implied volatility in stock options, such as VIX and VSTOXX, put and call ratios, gold, government bond yield spreads, mispricing along with economic and confidence sentiment indicators can significantly predict how irrational behaviors of investors can determine stock returns. Co-movements between markets provide further evidence of contagion. Considering the unobservable nature of sentiment, we provide a set of sentiment proxies, and reveal new measures such as gold, government yields spread and a mispricing ratio, that serve to predict European market returns. Furthermore, to our knowledge this study is one of the few studies to apply time dynamic panel data estimation to a large set of sentiment proxies and a set of complete control variables in a long-term framework.
- Implied equity duration as a measure of risk and its simultaneous endogeneity with performance in European companiesPublication . Reis, PedroThis work, in addition to applying the adapted implied equity duration (IED) concept through incorporating the dividends returned by the stock markets of France, Germany, Spain, Portugal and the UK, creates and tests new concepts both for firm risk and of business life expectancy, entitled the implied enterprise value duration (IEVD), for those countries. Furthermore, this article provides proof of the simultaneous endogeneity between IED and performance through recourse to a simultaneous equations system approach with 3sls and, additionally, studies the implications of company expected life, capital structure, size, market expectations, historic growth and risk both on IED and on performance. This paper reaches an IED based on dividends for European companies of 9.93 years, contributing to the existing IED paradox and confirming that IED is a risk measure. Furthermore, it concludes that IED does not provide a proxy for company life expectancy.
- A new European investor sentiment index (EURsent) and its return and volatility predictabilityPublication . Reis, Pedro Manuel Nogueira; Pinho, CarlosThis study presents a new European investor sentiment index, EURsent, based on new individual sentiment proxies such as VSTOXX, gold, and the German bond yield spread, and studies the spillover and contagion between the United States and Europe. Furthermore, it analyses the simultaneous influence of this new sentiment measure index on both volatility and stock returns, including causality. Applying well-established statistical techniques, such as principal component analysis, ordinary least squares, autoregressive conditional heteroskedasticity (ARCH), generalized ARCH (GARCH), and threshold GARCH models, the findings demonstrate how EURsent is closely interrelated with the most universally recognized sentiment index in academia, demonstrating strong co-movement between the US and European stock markets, mainly prior to the global subprime crisis. The study also applies vector autoregressive modelling and OOS analysis that allows one to conclude that EURsent is a strong predictor of market returns, through the discount rate and cash flow news, although the latter is the most relevant channel. This study creates a truly representative measure of global European investor sentiment that is comparable to that created by Baker and Wurgler for the United States, interlinking a holistic sentiment measure index, sustained on new single investor sentiment proxies, with conditionally market volatility and market returns, suggesting causality. EURsent could thus be a tool for investment managers, investors, and financial service providers as well as regulators to monitor the evolution of stock markets.
- Combining K-Means and XGBoost Models for Anomaly Detection Using Log DatasetsPublication . Henriques, João; Caldeira, Filipe; Cruz, Tiago; Simões, PauloAbstract: Computing and networking systems traditionally record their activity in log files, which have been used for multiple purposes, such as troubleshooting, accounting, post-incident analysis of security breaches, capacity planning and anomaly detection. In earlier systems those log files were processed manually by system administrators, or with the support of basic applications for filtering, compiling and pre-processing the logs for specific purposes. However, as the volume of these log files continues to grow (more logs per system, more systems per domain), it is becoming increasingly difficult to process those logs using traditional tools, especially for less straightforward purposes such as anomaly detection. On the other hand, as systems continue to become more complex, the potential of using large datasets built of logs from heterogeneous sources for detecting anomalies without prior domain knowledge becomes higher. Anomaly detection tools for such scenarios face two challenges. First, devising appropriate data analysis solutions for effectively detecting anomalies from large data sources, possibly without prior domain knowledge. Second, adopting data processing platforms able to cope with the large datasets and complex data analysis algorithms required for such purposes. In this paper we address those challenges by proposing an integrated scalable framework that aims at efficiently detecting anomalous events on large amounts of unlabeled data logs. Detection is supported by clustering and classification methods that take advantage of parallel computing environments. We validate our approach using the the well known NASA Hypertext Transfer Protocol (HTTP) logs datasets. Fourteen features were extracted in order to train a k-means model for separating anomalous and normal events in highly coherent clusters. A second model, making use of the XGBoost system implementing a gradient tree boosting algorithm, uses the previous binary clustered data for producing a set of simple interpretable rules. These rules represent the rationale for generalizing its application over a massive number of unseen events in a distributed computing environment. The classified anomaly events produced by our framework can be used, for instance, as candidates for further forensic and compliance auditing analysis in security management.
- A criação de um diário de experiências gastronómicas "Viseu à Prova": Um estudo de casoPublication . Barros, Joana; Barroco, Cristina; Amaro, Suzanne; Balsa, RaquelA gastronomia constitui um elemento chave na promoção e competitividade dos destinos turísticos, sendo que os guias gastronómicos desempenham aqui um papel determinante, uma vez que são uma preciosa ferramenta que acrescenta valor aos produtos endógenos, proporcionando uma experiência única aos visitantes. O diário gastronómico “Viseu à Prova”, editado pela Confraria Saberes e Sabores da Beira Grão Vasco, pretende contribuir para o conhecimento e divulgação da cultura tradicional gastronómica da região de Viseu e para a sua valorização enquanto património cultural, proporcionando ao utilizador uma experiência envolvente e original. O objetivo deste artigo é dar a conhecer os procedimentos que levaram à elaboração do guia “Viseu à Prova” e explicar a sua estrutura. Num contexto em que os destinos procuram, cada vez mais, valorizar a sua gastronomia, este trabalho fornece um exemplo concreto que permite perceber que a fruição de refeições idênticas pode proporcionar experiências completamente distintas.