Tourism destination marketing strategy driven by big data

Article type: Research Article

Authors: Zhou, Dan

Affiliations: Quality Management and Evaluation Center, Nanning College of Technology, Guilin, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: Quality Management and Evaluation Center, Nanning College of Technology, Guilin, China. E-mail: [email protected].

Abstract: In this study, the marketing strategy of tourism destination driven by big data is deeply discussed. Firstly, the application of big data in the tourism industry and the current strategy of tourism destination marketing are analyzed, and then the research methods are designed through factor analysis and big data analysis theory. After processing and factor analysis of the collected data, the influence of big data on tourism destination marketing strategy is analyzed, and the possible optimization path is explored. At the same time, the problems and challenges encountered in this process are also found and analyzed. Based on these analysis results, this study provides some theoretical and practical implications to promote the application of big data in tourism destination marketing strategies. Finally, it emphasizes the importance of big data and factor analysis in the formulation of future tourism destination marketing strategy, and puts forward the direction of future research.

Keywords: Big data, tourist destination, marketing strategy, factor analysis, data analysis

DOI: 10.3233/JCM-247486

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 4-5, pp. 2593-2609, 2024