Evolving visitors/tourists’ demands, preference and future expectations, related to 7PS sustainability during and after the pandemic through the X.0 wave/tomorrow age theory (when X.0=5.0)

Purpose This study explores evolving tourist preferences post-COVID-19, focusing on the growing demand for sustainable tourism. Using the X.0 wave/tomorrow age theory when X.0 = 5.0, it identifies transformative trends influencing the tourism industry's adaptation to new sustainability expectations. Design/methodology/approach A mixed-methods approach combines extensive surveys and interviews with diverse tourist profiles to examine behaviors and preferences. The seven pillars of sustainability (7PS) model frames the analysis. Findings Tourism is shifting toward sustainable practices, emphasizing cultural differences, environmental stewardship, social engagement, economic resilience, technological infrastructure, educational methods and political supports. The integration of X.0 wave theory with SME 5.0 concepts highlights the importance of responsible tourism aligned with evolving tourist expectations. Originality/value This study pioneers the application of the X.0 wave/tomorrow age theory to tourism, offering a novel framework for sustainable practices. It provides insights for making tourism resilient, ecologically sound and socially responsible, meeting post-pandemic visitor demands.

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Institutions

Publication Details

Journal
Worldwide Hospitality and Tourism Themes
Published
2024-11-20
DOI
https://doi.org/10.1108/whatt-08-2024-0186
Citations
6
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
6.79
Controls
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article

Evolving visitors/tourists’ demands, preference and future expectations, related to 7PS sustainability during and after the pandemic through the X.0 wave/tomorrow age theory (when X.0=5.0)

Hamid Doost Mohammadian, Behnam Ameri, Omid Alijani, Mohammad Rahimi Moghaddam
6 citations
Worldwide Hospitality and Tourism Themes
Diverse Aspects of Tourism Research
6.79
article

Evolving visitors/tourists’ demands, preference and future expectations, related to 7PS sustainability during and after the pandemic through the X.0 wave/tomorrow age theory (when X.0=5.0)

Hamid Doost Mohammadian, Behnam Ameri, Omid Alijani, Mohammad Rahimi Moghaddam
article en
6 citations

Abstract

Purpose This study explores evolving tourist preferences post-COVID-19, focusing on the growing demand for sustainable tourism. Using the X.0 wave/tomorrow age theory when X.0 = 5.0, it identifies transformative trends influencing the tourism industry's adaptation to new sustainability expectations. Design/methodology/approach A mixed-methods approach combines extensive surveys and interviews with diverse tourist profiles to examine behaviors and preferences. The seven pillars of sustainability (7PS) model frames the analysis. Findings Tourism is shifting toward sustainable practices, emphasizing cultural differences, environmental stewardship, social engagement, economic resilience, technological infrastructure, educational methods and political supports. The integration of X.0 wave theory with SME 5.0 concepts highlights the importance of responsible tourism aligned with evolving tourist expectations. Originality/value This study pioneers the application of the X.0 wave/tomorrow age theory to tourism, offering a novel framework for sustainable practices. It provides insights for making tourism resilient, ecologically sound and socially responsible, meeting post-pandemic visitor demands.

Worldwide Hospitality and Tourism ThemesVol. 16(6)
Fachhochschule des Mittelstands (DE), Industrial Management Institute (IR), Iran University of Science and Technology (IR)
Openalex Percentile: Top 3%
Diverse Aspects of Tourism Research
6.79
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Evolving visitors/tourists’ demands, preference and future expectations, related to 7PS sustainability during and after the pandemic through the X.0 wave/tomorrow age theory (when X.0=5.0) — Hamid Doost Mohammadian, Behnam Ameri, et al. · Worldwide Hospitality and Tourism Themes (2024) | TGRS Research Map | TGRS