Recovery solutions for ecotourism centers during the Covid-19 pandemic: Utilizing Fuzzy DEMATEL and Fuzzy VIKOR methods

Hosseini, Mehdi; Paydar, Mohammad Mahdi; Hajiaghaei–Keshteli, Mostafa

doi:10.1016/j.eswa.2021.115594

Cited by 91 publications

(39 citation statements)

References 64 publications

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“…Firstly, they compute the weights of the considered criteria by the Fuzzy DEMATEL and then they are prioritized using the Fuzzy VIKOR. The findings of the current study divulge that the AP2 "Standardization of the centers" and AP3 "Estimating demand number and increasing the capacity" and AP7 "Identifying other natural tourist attractions of the region" have the highest and lowest priority to be implemented [12]. One of the main goals of implementation of the Integrated Coastal Zone Management in Iran is to establish sustainable social and economic development in the coastal areas.…”

Section: Literature Reviewmentioning

confidence: 77%

Uncertainty analysis of tourism components in Tabriz

Parviznejad

Bahrami

2021

IJIMES

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Purpose: Predicting the profitability of the tourism industry is always faced with uncertainties. Especially in the last two years, when the global pandemic conditions have added to it. The purpose of this study is to investigate and analyze the uncertainties in the components affecting tourism in Tabriz. Methodology: In addition to library studies, interviews with experts and professors in the field of tourism have been conducted in order to identify the components affecting tourism. Input factors in four areas of strategic planning, tourism potentials, regional conditions and infrastructure facilities and effective consequences on the problem in two economic areas and tourism consequences are categorized. Then, to explain the uncertainty of the obtained components, a fuzzy system is designed in MATLAB software. The system is based on an ifthen rule approach with 84 rules that determine the relationship between input and output variables. Findings: Our findings from the fuzzy system model show that following the current situation, the tourism outcome of Tabriz will be normal and its economic consequences for the city of Tabriz will be inappropriate due to its historical and economic history. Also, changes in regional conditions and urban potentials do not cause much change in the tourism situation. The results of the model show that simply paying attention to the plan and infrastructure without considering other conditions does not create a suitable situation for tourism. That is, plans and infrastructure should serve the better development of urban places and potentials and the proper bedding of regional conditions. Originality/Value: Despite several years of capital and commercial center of Iran and high capabilities, Tabriz has not been able to achieve a good position in the Iranian tourism industry. Some of these factors are related to the uncertainty in plans and policies, etc. This article with this approach is an innovation in explaining the tourism conditions of Tabriz.

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Section: Literature Reviewmentioning

confidence: 77%

Uncertainty analysis of tourism components in Tabriz

Parviznejad

Bahrami

2021

IJIMES

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“…The influential network-relation map (INRM) produced by this method is helpful for decision-makers to understand the mutual influence relationship between the criteria and further identify key factors ( 11 , 30 ). Therefore, this method has been widely used in various fields, such as food insecurity ( 31 ), leanness assessment ( 32 ), tourism ( 33 ), and smart cities ( 34 ). For a detailed explanation of this method, refer to previous studies ( 30 , 35 , 36 ).…”

Section: Methodsmentioning

confidence: 99%

Exploring the Key Factors of Shared Decision-Making Through an Influential Network Relation Map: The Orthopedic Nurse's Perspective

et al. 2022

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BackgroundFew studies have used quantitative methods to explore the key factors affecting shared decision-making (SDM) in nursing decision-making from the perspective of orthopedic nurses.PurposeTo understand the intercorrelations among shared decision-making questionnaire–nurse (SDM-Q-NUR) factors and identify key factors for clinical nursing care decisions in orthopedics.MethodsIn May 2021, this study investigated the interdependence of the SDM-Q-NUR scale and developed an influential network-relation map (INRM) from the clinical experience of 13 trained orthopedic nurses using the Decision-making Trial and Evaluation Laboratory method.ResultsThe INRM results showed that the nine criteria corresponded to three stages: preparation, discussion, and decision. “I helped my patient or patient's family understand all the information” (C5) and “I wanted to know from my patient or patient's family how they want to be involved in making the nursing care decision” (C2) are the main key factors for the beginning of nursing decision. In the discussion and decision stages, the corresponding key factors are “I made it clear to my patient or patient's family that a nursing care decision needs to be made” (C1) and “I asked my patient or patient's family which nursing care option they prefer” (C6). The result's statistical significance confidence and gap error were 98.106% and 1.894%, respectively.ConclusionsWhen making nursing decisions with patients, orthopedic nurses need to have detailed information about how patients are involved in SDM and all relevant information. Nurses should also inform patients and their families regarding the purpose of the discussion, namely, to help one understand the content, advantages, and disadvantages of the nursing care options, and finally, make a decision.

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“…Hosseini S et al. [18] probed the appropriate recovery criteria for ecotourism centers, which suffered significant losses in the COVID pandemic. During the pandemic outbreak, the education system was one of the most severely impacted industries.…”

Section: Related Workmentioning

confidence: 99%