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

Roxana Norouzi Isfahani, Ahmad Talaee Malmiri, Ahmad BahooToroody, Mohammad Mahdi Abaei*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

21 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)86-104
Number of pages19
JournalJournal of Asian Business and Economic Studies
Issue number2
Publication statusPublished - 2023


  • Bayesian network
  • Dynamic modeling
  • Nature-based tourism


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