Tourism Management Perspectives

Tourist Arrivals Data for Balearic Islands and Models (4 scenarios) to apply Monte Carlo simulations

We used different scales and self-developed scales to study media consumption, escapism, media immersion and travel intention to the filming location. The research aimed to analyse the impact of the Game of Thrones TV-series on viewers' travel intentions.

Analysis of data in QDA miner qualitative analysis tool

RoomrentETNorm is the final dependent variable (hotel rent) arrived at after temporal and currency normalization

We use TripAdvisor.com reviews as the sample that was made by the Sri Lankan domestic tourists in English, between May 2018 – December 2018 who visited Jaffna, a post-conflict destination, to explore the transitional domestic tourists’ gaze at a post-conflict destination. The data were collected during November 2018 and September 2019. Purposive sampling method was adopted to carefully select the data (reviews) which are most appropriate for consideration for analysis along with the study objectives. Accordingly, thirteen (13) tourist destinations were selected in Jaffna District for data collection and in total 173 reviews, were abstracted for analysis. Thematic analysis was performed in analyzing the data and cross-coding was performed to increase the validity and reliability. The thematic coding allowed us to categorize the data there-by letting different themes to emerge. Nvivo-11 (QSR International) software was used in qualitative coding because of its strong coding function. Any potential researcher can re-perform the thematic analysis and identify different themes that might help to expand the body of literature.

Photo-sharing motivation in Wechat

This work was supported by the National Natural Science Foundation of China (NSFC, Grant No. 41471467). The data is only for research use.

This dataset includes quantitative and categorical features from online reviews from 21 hotels located in Las Vegas Strip, extracted from TripAdvisor (http://www.tripadvisor.com). All the 504 reviews were collected between January and August of 2016. The dataset contains 504 records and 20 tuned features (as of “status = included”, from Table 1 of the article mentioned below), 24 per hotel (two per each month, randomly selected), regarding the year of 2015.