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

被引:1
|
作者
Isfahani, Roxana Norouzi [1 ]
Malmiri, Ahmad Talaee [2 ]
BahooToroody, Ahmad [1 ]
Abaei, Mohammad Mahdi [3 ]
机构
[1] Univ Florence, Florence, Italy
[2] Univ Tehran, Tehran, Iran
[3] Delft Univ Technol, Delft, Netherlands
来源
JOURNAL OF ASIAN BUSINESS AND ECONOMIC STUDIES | 2023年 / 30卷 / 02期
关键词
Nature-based tourism; Bayesian network; Dynamic modeling; C11; M31; M37; RURAL TOURISM; NETWORK; SUSTAINABILITY; ATTRACTIONS; PERFORMANCE; SYSTEM;
D O I
10.1108/JABES-11-2020-0119
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:86 / 104
页数:19
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