Unpacking the nexus between AI, knowledge management, and destination social responsibility

This work unveils how AI enhances knowledge management (KM) and supports destination social responsibility (DSR) across tourism settings. Using thematic analysis, five main themes were identified: perceptions of AI’s role in KM; AI-driven KM and DSR; enablers and barriers to integration; alignment between KM and DSR; and governance and ethical implications of AI-enabled tourism. The findings revealed that AI transforms knowledge processes by supporting predictive analytics, data integration, and real-time decision-making while promoting sustainability and ethical governance. Participants highlighted AI’s capacity to optimise visitor management, monitor environmental impact, and personalise tourist experiences to encourage responsible behaviours. However, challenges such as low digital literacy, limited infrastructure, and organisational resistance constrain adoption. The study also emphasises the need for inclusive access and ethical oversight to prevent bias and preserve cultural authenticity. Theoretical and practical implications are outlined.

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Publication Details

Journal
Knowledge Management Research & Practice
Published
2026-11-06
DOI
https://doi.org/10.1080/14778238.2026.2760861
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Unpacking the nexus between AI, knowledge management, and destination social responsibility

Zahra Behboodi, Angelo Presenza, Mohammad S.A. Soliman, Marwa Ali Al Hinai
7 links
Knowledge Management Research & Practice
Diverse Aspects of Tourism Research
article

Unpacking the nexus between AI, knowledge management, and destination social responsibility

Zahra Behboodi, Angelo Presenza, Mohammad S.A. Soliman, Marwa Ali Al Hinai
article en

Abstract

This work unveils how AI enhances knowledge management (KM) and supports destination social responsibility (DSR) across tourism settings. Using thematic analysis, five main themes were identified: perceptions of AI’s role in KM; AI-driven KM and DSR; enablers and barriers to integration; alignment between KM and DSR; and governance and ethical implications of AI-enabled tourism. The findings revealed that AI transforms knowledge processes by supporting predictive analytics, data integration, and real-time decision-making while promoting sustainability and ethical governance. Participants highlighted AI’s capacity to optimise visitor management, monitor environmental impact, and personalise tourist experiences to encourage responsible behaviours. However, challenges such as low digital literacy, limited infrastructure, and organisational resistance constrain adoption. The study also emphasises the need for inclusive access and ethical oversight to prevent bias and preserve cultural authenticity. Theoretical and practical implications are outlined.

Knowledge Management Research & Practice
University of Molise (IT), Sultan Qaboos University (OM)
Openalex Percentile: Top 11%
Diverse Aspects of Tourism Research
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Unpacking the nexus between AI, knowledge management, and destination social responsibility — Zahra Behboodi, Angelo Presenza, et al. · Knowledge Management Research & Practice (2026) | TGRS Research Map | TGRS