Research on big data, VGI, and the tourism and hospitality sector: Concepts, methods, and geographies
Big Data and Innovation in Tourism, Travel, and Hospitality: Managerial Approaches, Techniques, and Applications, Page: 75-85
2019
- 6Citations
- 21Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
The emergence of new data sources with high volume, velocity and variety has changed the market and consumption trends, including within the tourism industry. The tourism industry faces several challenges when using big data and volunteered geographic information (VGI) to develop new services. Managers need new capabilities to exploit this newly available information and to understand the possibilities that it has created. To give an overview of relevant academic knowledge, this chapter investigates academic research big data, volunteered geographic information, and the tourism and hospitality sector. It tracks the number of relevant publications and reviews the main concepts and research methods used in them. The results of this study give new insights on the main themes within scientific research on this topic, inform critical perspectives on the subject, and identify gaps in the current literature.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85064033941&origin=inward; http://dx.doi.org/10.1007/978-981-13-6339-9_5; http://link.springer.com/10.1007/978-981-13-6339-9_5; http://link.springer.com/content/pdf/10.1007/978-981-13-6339-9_5; https://dx.doi.org/10.1007/978-981-13-6339-9_5; https://link.springer.com/chapter/10.1007/978-981-13-6339-9_5
Springer Nature
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