Future avenues for development in forecasting wine tourism
Future avenues for development in forecasting wine tourism
Purpose: the purpose of this paper is to analyse the developments in forecasting wine tourism.
Design/methodology/approach: the study applies a systematic review of the literature between 2020 and 2024.
Findings: the findings confirm unbalanced development where most publications are related to either forecasting tourism or wine tourism, separately. However, there are multiple possibilities for combining both areas to have active research in forecasting wine tourism.
Research limitations/implications: limitations are related with the potential selection of articles in the systematic review. The field of wine tourism needs to link well-established descriptive analysis of wine tourists with predictive analysis through forecasting approaches, such as AI and simulation.
Practical implications: the paper provides a framework to support further research in forecasting wine tourism, which can be critical information for wineries’ managers when they plan capacity and determine business investments related to wine tourism. Forecasting is a vibrant field with also many interesting insights in methodologies and data for academic researchers.
Originality/value: the paper contributes to the body of knowledge of wine tourism in an area where there is limited research.
wine tourism, forecasting, simulation, Artificial intelligence
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Kunc, Martin
(2025)
Future avenues for development in forecasting wine tourism.
International Journal of Wine Business Research.
(doi:10.1108/IJWBR-11-2024-0081).
Abstract
Purpose: the purpose of this paper is to analyse the developments in forecasting wine tourism.
Design/methodology/approach: the study applies a systematic review of the literature between 2020 and 2024.
Findings: the findings confirm unbalanced development where most publications are related to either forecasting tourism or wine tourism, separately. However, there are multiple possibilities for combining both areas to have active research in forecasting wine tourism.
Research limitations/implications: limitations are related with the potential selection of articles in the systematic review. The field of wine tourism needs to link well-established descriptive analysis of wine tourists with predictive analysis through forecasting approaches, such as AI and simulation.
Practical implications: the paper provides a framework to support further research in forecasting wine tourism, which can be critical information for wineries’ managers when they plan capacity and determine business investments related to wine tourism. Forecasting is a vibrant field with also many interesting insights in methodologies and data for academic researchers.
Originality/value: the paper contributes to the body of knowledge of wine tourism in an area where there is limited research.
Other
Attached standard file_
- Accepted Manuscript
More information
Accepted/In Press date: 27 September 2025
e-pub ahead of print date: 28 October 2025
Keywords:
wine tourism, forecasting, simulation, Artificial intelligence
Identifiers
Local EPrints ID: 506334
URI: http://eprints.soton.ac.uk/id/eprint/506334
ISSN: 1751-1062
PURE UUID: d58a6cb7-8147-469b-b57a-87c12a02f228
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Date deposited: 04 Nov 2025 18:02
Last modified: 05 Nov 2025 02:56
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