A Bayesian-based framework for advanced nature-based tourism model

PurposeNature-based tourism (NBT) blossoming requires sound monitoring models to maximize its potential in the tourism industry. Cooperation of different segments from nature to economy will lead to a sustainable NBT. Therefore, the qualitative and quantitative relation between these subdivisions ha...

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Bibliographic Details
Published in:Journal of Asian business and economic studies 2023-05, Vol.30 (2), p.86-104
Main Authors: Norouzi Isfahani, Roxana, Talaee Malmiri, Ahmad, BahooToroody, Ahmad, Abaei, Mohammad Mahdi
Format: Article
Language:English
Subjects:
Bayesian network
Dynamic modeling
Nature-based tourism
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Summary:PurposeNature-based tourism (NBT) blossoming requires sound monitoring models to maximize its potential in the tourism industry. Cooperation of different segments from nature to economy will lead to a sustainable NBT. Therefore, the qualitative and quantitative relation between these subdivisions has to be investigated.Design/methodology/approachThis paper proposes an advanced NBT model for the design of an optimum tourism system. To this end, Bayesian network (BN) has been implemented to characterize the impact of each subsector on NBT.FindingsThe outcomes of this study can help the tourism managers, policymakers and related organizations to find the optimum approach to achieve a continuous improvement in the system. To demonstrate the applicability of the methodology, two cases of observations are considered.Originality/valueThe originality of the work is well demonstrated in the literature review of the paper.
ISSN:2515-964X
2515-964X
DOI:10.1108/JABES-11-2020-0119