Forecasting Tourism with Big Data and AI: A Bibliometric Review (2014–2024)

Pawan Kumar Prasad; Kanchan Datta

doi:10.5281/zenodo.18062703

Authors

Pawan Kumar Prasad Department of Economics, University of North Bengal, India https://orcid.org/0009-0009-0842-7942
Kanchan Datta Department of Economics, University of North Bengal, India

DOI:

https://doi.org/10.5281/zenodo.18062703

Keywords:

Bibliometric Analysis, Forecasting, Tourist arrival, Big data, Tourism demand

Abstract

The purpose of the study is to provide a bibliometric overview of forecasting tourist arrivals, documenting the intellectual structures, research volume, emerging trends, and the direction of knowledge development in this domain. The study employed a bibliometric approach, including performance and relational analyses/science mapping. 315 documents were extracted from the Scopus database following the PRISMA framework. Thereafter, various parameters were analyzed, including the most influential authors, journals, and publications, as well as thematic analysis. To address these research objectives, VOSviewer and Biblioshiny software were used for data analysis and visualization. The result revealed that the 2014 tourism forecasting study gained popularity. Tourism Economics journal and Song H are the most influential journal and author, respectively. Moreover, thematic analysis revealed that traditional time series forecasting models rely on generic data, limiting their ability to account for external factors, thereby affecting accuracy and reliability. To address this limitation, recent studies have adopted econometric forecasting models that integrate big data from diverse sources, such as search engines and online review platforms, alongside conventional datasets, thereby enhancing predictive accuracy and helping policymakers and industry stakeholders with data-driven decision-making, resource allocation, revenue management, and optimizing business operations.

Keywords: Bibliometric Analysis; Forecasting; Tourist arrival; Big data; Tourism demand.

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Author Biographies

Pawan Kumar Prasad, Department of Economics, University of North Bengal, India

Ph.D. research scholar working under the supervision of Associate Professor Dr. Kanchan Data from Department of Economics, University of North Bengal, India. He completed his Masters from Department of Economics, University of North Bengal, India. He completed M.Phil. from Department of Economics, University of North Bengal under the supervision of Prof. Kanak Kanti Bagchi. His Research interest is on Tourism and Hospitality Management, Wellbeing, Forecasting and Perception Studies. ORCID: https://orcid.org/0009-0009-0842-7942 [ prasadpawankumar5@gamil.com ]

Kanchan Datta, Department of Economics, University of North Bengal, India

Associate Professor of Department of Economics, University of North Bengal, India. He had completed his M.Phil. as well as Ph.D. under the supervision of Prof. Chandan Kumar Mukhopadhyaya, (Ph.D. Illinois, USA). He has teaching experience of more than 24 years. He had published many research articles/chapters in different national and international journals/publications. He has a diverse research interest such as International Trade, Growth and Development Economics, Time Series Analysis, Tourism & Hospitality and Entrepreneurships. He teaches Basic Econometrics in University of North Bengal, India. ORCID: https://orchid.org/0000-0002-8125-7363 [ kanchandatta_72@nbu.ac.in ]

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