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Predictors of Sustainable Tourism Development during the Post-Pandemic Period in Bangladesh

Md Yusuf Hossein Khan (), Afzal Hossain () and Mohammad Amzad Hossain Sarker
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Md Yusuf Hossein Khan: CinTurs—Research Centre for Tourism, Sustainability and Well-Being, University of Algarve, 8005-139 Faro, Portugal
Afzal Hossain: Department of Marketing, Faculty of Business Studies, Comilla University, Cumilla 3506, Bangladesh
Mohammad Amzad Hossain Sarker: Department of Marketing, Faculty of Business Studies, Comilla University, Cumilla 3506, Bangladesh

Sustainability, 2024, vol. 16, issue 19, 1-25

Abstract: The goal of this study was to examine the predictors of sustainable tourism development during the post-COVID-19 pandemic period in the context of Bangladesh. Quantitative-type research was applied, and this study used a descriptive research design. A standardized questionnaire was used to collect 302 data points from actual indigenous tourists using an online purposive sampling method. A partial least squares structural equation modeling (PLS-SEM) approach was used to evaluate the data and test the hypotheses. The results of the PLS-SEM analysis method demonstrate that environmental integrity, social equity, economic prosperity, and technological adaption had a positive relationship with sustainable tourism development during the post-COVID-19 pandemic period in Bangladesh. This research article provides practical guidelines for tourism authorities (BTB, BPC, and so on) and stakeholders on how to effectively impact environmental integrity, social equity, economic prosperity, and technological adaption on sustainable tourism development during the post-COVID-19 pandemic period in the context of Bangladesh. This study recommends that influential strategic factors be utilized to develop a sustainable tourism business in Bangladesh, positioning it as an emerging tourism destination.

Keywords: PLS-SEM; post pandemic; predictors; sustainable; tourism development; Bangladesh (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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