Applying Big Data Technologies in Tourism Industry: A Conceptual Analysis
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-26829-8_21
Reference76 articles.
1. Ampountolas, A. (2019). Forecasting hotel demand uncertainty using time series Bayesian VAR models. Tourism Economics, 25(5), 734–756. https://doi.org/10.1177/1354816618801741
2. Antonopoulou, H., Mamalougou, V., & Theodorakopoulos, L. (2022a). The role of economic policy uncertainty in predicting stock return volatility in the banking industry: A big data analysis. Emerging Science Journal, 6(3), 569–577. https://doi.org/10.28991/esj-2022-06-03-011
3. Antonopoulou, H., Theodorakopoulos, L., Halkiopoulos, C., & Mamalougkou, V. (2022b). On the predictability of Greek systemic bank stocks using machine learning techniques. https://doi.org/10.20944/preprints202207.0462.v1
4. Antonopoulou, H., Mamalougou, V., & Theodorakopoulos, L. (2022c). The role of economic policy uncertainty in predicting stock return volatility in the banking industry: A big data analysis. Emerging Science Journal, 6(3), 569–577. https://doi.org/10.28991/esj-2022-06-03-011
5. Ardito, L., Cerchione, R., Del Vecchio, P., & Raguseo, E. (2019). Big data in smart tourism: Challenges, issues and opportunities. Current Issues in Tourism, 22(15), 1805–1809. https://doi.org/10.1080/13683500.2019.1612860
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