Journal of Asian Business and Economic Studies
Vol. 30(2) , June 2023, Page 86–104


A Bayesian-based framework for advanced nature-based tourism model
Roxana Norouzi Isfahani & Ahmad Talaee Malmiri & Ahmad BahooToroody & Mohammad Mahdi Abaei

Email: mahdy.abaiee@gmail.com
Organization:
Received: November 02, 2025
Revised: November 02, 2025
Accepted: June 01, 2023
Published: November 02, 2025
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Abstract
Purpose Nature-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/approach This 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. Findings The 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/value The originality of the work is well demonstrated in the literature review of the paper.

Keywords
Nature-based tourism, Bayesian network, Dynamic modeling
References
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