Search results for " destinations"

Ranking world tourist destinations with a composite indicator of competitiveness: To weigh or not to weigh?

2019

Abstract This paper contributes a weighted composite indicator of competitiveness for 136 world tourist destinations. To that end, Data Envelopment Analysis and Multi-Criteria-Decision-Making techniques are used with raw indicators from the 2017 edition of the Travel & Tourism Competitiveness Report of the World Economic Forum (WEF). An outstanding feature of our approach is that weights are endogenously generated. Furthermore, the role played by several variables in tourism competitiveness is assessed using truncated regression and bootstrapping. The ranking of world tourist destinations produced by our weighted composite indicator of competitiveness is, however, fairly similar to that der…

The economics of tourist destinations

2012

Efficiency and Productivity of Italian Touris Destinations: A Quantitative Estimation Based on Data Envelopment Analysis and the Malmquist Method

2007

This paper aims to provide a statistical analysis of the relative economic performance of Italian tourist areas. It uses two modelling approaches to estimate the competitiveness of these regions, viz. data envelopment analysis (DEA) and the Malmquist method. Our results show that the competitiveness position of several Italian regions has not improved over the years under consideration.

Measuring Tourist Satisfaction Through a Dual Approach: The 4Q Methodology

2018

Tourist satisfaction is one of the key factors in determining the success of a tourist destination, since it affects behavioural intentions, such as the willingness to revisit and recommend the destination. Therefore, much research has addressed the measuring of tourist satisfaction, either eliciting positive or negative evaluations of a holiday or destination. The spread between expected positive and negative characteristics can trigger a tourist experience. And the gap between expectations and perceptions will produce a feeling of satisfaction or dissatisfaction (Expectancy-Disconfirmation Paradigm, EDP). Under these conditions, this paper adopts a dual approach, considering tourist satis…

Sentiment Analysis of Twitter in Tourism Destinations

2020

[EN] Given the importance of electronic word of mouth (eWOM), this paper analyses the content of messages generated by users related to a tourist destination and shared through Twitter. We propose three research questions regarding eWOM behaviour in Twitter focused on the expertise of the reviewer, sentiment analysis of a tweet and its content.In order to address those research questions we carry out text mining analysis by retrieving existing information on Twitter (over 1500 tweets) regarding to Venice as a tourist destination.

New frontiers in tourism: destinations, resources, and managerial perspectives

2018

Kozak, M., Rita, P., & Bigne, E. (2018). New frontiers in tourism: destinations, resources, and managerial perspectives. [Editorial]. European Journal of Management and Business Economics, 27(1), 2-5. DOI: 10.1108/EJMBE-03-2018-066

The “Sun and Beach” tourism destination image: An application to the case of Cuba from the Spanish tourist‐origin market

2004

The research steam on tourism destination image, begun in the late 1960s, has been essentially operational in its approach, and only occasionally strategic. Aspects relating to the image of tourism destinations still constitute a relatively unexplored line of research. This paper, first establishes specific conceptual and methodological approaches, to enable us to rigorously study and evaluate the image of what we understand as a tourism destination characterized by “sun and beach”. It then applies this methodological proposition to a number of destinations in the Caribbean, focusing on the case of Cuba from an important tourist‐origin market for this destination, Spain.

Segmentation of low-cost flights users at secondary airports

2010

Abstract Low-cost carrier services are important for many tourist destinations. However, there is little information about the characteristics of travellers using low-cost airlines, and their flight preferences. The typical segmentation of air travellers is business versus leisure travellers; and business versus tourist fares. We use segmentation analysis focusing on low-cost travellers’ valuations of various flight attributes and trip-related characteristics, most notably those related to destinations, based on a sample of foreign travellers who used Girona Airport, Spain.

The atractiveness and competitiveness of tourist destinations: A study on Southern Italian regions

2009

The present paper aims to assess the relative attractiveness of competing tourist destinations on the basis of individual visitors' perceptions regarding a holiday destination. Using the feeling of tourist well-being achieved by individual tourists we evaluate indirectly the competitive ability of the tourist area to offer a compound tourist site attractiveness. The methodology employed here uses individual survey questionnaires on the tourists' evaluation of the quality of tourist facilities and attributes in a given area (the 'regional tourist profile') as the basis for constructing an aggregate expression for the relative attractiveness of that area. Using various multidimensional statis…

Harnessing stakeholder input on Twitter: A case study of short breaks in Spanish tourist cities

2019

Abstract Knowledge of how destination marketing organisations (DMOs) use Twitter is still limited. This study aimed to assess how DMOs' Twitter activity affects hotel occupancy in short-break holidays. Key dimensions of Twitter that may affect hotel occupancy in tourist destinations were first identified. A longitudinal study using data for 10 Spanish DMOs was conducted to forecast hotel occupancy. Twitter application programming interfaces were used to gather data on tweets by DMOs and retweets and likes by users. Text mining was used to analyse the tweets by DMOs, differentiating between tweets related to events, attractions, socialisation, and marketing. Data were analysed using artifici…