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Ecotourism supply chain during the COVID-19 pandemic: A real case study

Hosseini, Seyyed Mehdi, Paydar, Mohammad Mahdi, Alizadeh, Mehdi, Triki, Chefi (2021) Ecotourism supply chain during the COVID-19 pandemic: A real case study. Applied Soft Computing, 113 . Article Number 107919. ISSN 1568-4946. (doi:10.1016/j.asoc.2021.107919) (KAR id:91475)

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The coronavirus (COVID-19) disease has caused serious and irreversible damage to the ecotourism industry, posing serious challenges to all parts of the ecotourism supply chain. The ecotourism supply chain is made up of various components, the most important of which are ecotourism centers. During these pandemic times, the primary concerns of these centers are to improve their deplorable economic conditions and retain customers for the post-coronavirus era. As a result, an investigation should be conducted to address these concerns and provide appropriate solutions to help them overcome the challenges that have emerged. To achieve the research goal, a bi-objective mathematical model for the ecotourism supply chain in an uncertain environment is developed, accounting for the effects of COVID-19. The first objective function minimizes the total cost of the supply chain, while the second maximizes customer satisfaction. The proposed mathematical model is solved using a fuzzy goal programming (FGP) method. A sensitivity analysis study is also carried out to examine the performance of some basic parameters. Furthermore, the model is tested in a real case study to determine its efficacy. Finally, some effective managerial insights are proposed to improve the situation of the centers during the pandemic. © 2021 The Authors

Item Type: Article
DOI/Identification number: 10.1016/j.asoc.2021.107919
Uncontrolled keywords: Coronavirus; Ecology; Linear programming; Multiobjective optimization; Sales; Sensitivity analysis; Supply chains, Case-studies; Coronaviruses; COVID-19 pandemic; Customers' satisfaction; Eco-tourisms; Economic condition; Ecotourism supply chain; Irreversible damage; Real case, Customer satisfaction
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Chefi Triki
Date Deposited: 18 Nov 2021 09:02 UTC
Last Modified: 29 Nov 2021 12:10 UTC
Resource URI: (The current URI for this page, for reference purposes)
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