Yuan Yuan Liu, Natalja Lace, Lu Lu Chen

Proceedings of the 13th International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC 2022, Vol. II, pp. 171-176 (2022); https://doi.org/10.54808/IMCIC2022.02.171

Yuan Yuan Liu
Faculty of Engineering Economics and Management, Riga Technical University, Riga, Latvia

Natalja Lace
Faculty of Engineering Economics and Management, Riga Technical University, Riga, Latvia

Lu Lu Chen
Baltic Sea Region Research Center, Guizohu University, Guiyang, China

Cite this paper as:
Liu, Y. Y., Lace, N., Chen, L. L. (2022). Big Data Analytics Examining Push-Pull Motivations to Visit Sustainable Tourism Destinations. In N. Callaos, S. Hashimoto, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 13th International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC 2022, Vol. II, pp. 171-176. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/IMCIC2022.02.171

Nowadays, the Information and Communication Technologies (ICTs) are influencing people’s lives, and a data-driven model is empowering almost all business. Tourism sector is not an exception in the era of ICTs when smart devices are indispensable components. Information searching traces are left when people are using the smart devices for information supporting decision making. Therefore, referring to the tourism sector, the success of destination markets largely depends on tourists’ inspirations to choose and to visit. Big Data analytics is one of the methods predicting tourists’ arrivals to destinations. This paper aims at two folds, on the one hand, identifying tourists’ motivations to visit sustainable tourism destinations, on the other hand, exploring big data analytics’ capabilities in examining tourists’ selections to visit sustainable tourism destinations, especially, in the times of the post pandemic era.