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AI Adoption For Accelerating Tourism Destination Development In Indonesia Eko Susanto; Bintari Pangesti Putri; Mega Fitriani Adiwarna Prawira; Chandrawulan
Journal of Tourism, Hospitality and Travel Management Vol. 3 No. 2 (2025)
Publisher : Integrasi Sains Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58229/jthtm.v3i2.411

Abstract

Artificial Intelligence (AI) is increasingly transforming tourism by enabling personalised experiences, optimising operations, and supporting sustainable destination development. While extensive research has explored AI applications in advanced economies, studies remain limited in emerging contexts such as Indonesia. Addressing this gap, this study investigates how AI adoption can accelerate tourism destination development in Indonesia, a country with rich natural and cultural assets but significant digital, infrastructural, and governance challenges. Employing a qualitative strategic management approach, this study integrates SWOT–TOWS analysis and expert panel validation to identify internal and external factors influencing AI readiness. The findings position Indonesia in the Strength–Opportunity (SO) quadrant, suggesting that AI technologies—such as recommendation systems, virtual storytelling, and predictive analytics—hold significant potential for destination differentiation and sustainability. However, persistent barriers include low AI literacy, fragmented data systems, and regulatory limitations. The study contributes theoretically by contextualizing Innovation Diffusion Theory and Smart Tourism frameworks within a developing economy. Practically, it offers a strategic roadmap for inclusive and ethical AI adoption in tourism. Future research should explore quantitative modeling, cross-country comparisons, and the development of tourism-specific AI governance frameworks.
SLR on Institutional Barriers and Resilience in Community-Based Tourism Governance Bintari Pangesti Putri; Sherly Raka Siwi Putri Utomo; Dinarsiah Chendraningrum
Journal of Tourism, Hospitality and Travel Management Vol. 4 No. 1 (2026): (Article In Press)
Publisher : Integrasi Sains Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58229/jthtm.v4i1.444

Abstract

Despite the proliferation of Community-Based Tourism (CBT) as a sustainable development tool, its long-term viability remains precarious due to structural fragility and external disruptions. This Systematic Literature Review (SLR) investigates the institutional arrangements underpinning CBT resilience in Southeast Asia, addressing the gap between normative participation and actual sustainability. Guided by PRISMA 2020 protocols, the study synthesizes 34 high-impact, Scopus-indexed articles (2020–2025) through a rigorous three-stage coding process: open, axial, and selective. The findings demonstrate that CBT sustainability is not an inherent byproduct of community participation but an emergent institutional process. We propose a novel conceptual advancement: the CBT Institutional Resilience Framework, integrating three interdependent pillars: collaborative governance, social entrepreneurship, and institutional harmonization. This framework shifts the theoretical focus from utilitarian participation toward "Institutional Commoning," anchored in Adaptive Governance Theory. The synthesis reveals a triadic logic: while collaborative structures provide the foundation for multi-stakeholder risk-sharing, social enterprise models function as the essential economic engine for self-reliance. Crucially, institutional harmonization is identified as the vital mediator required to mitigate policy fragmentation and the digital divide. By bridging the gap between national regulations and local sovereignty, this study situates "local ownership" as an emergent outcome of institutional alignment. These findings offer a theoretically grounded roadmap for transitioning from donor-dependent projects to resilient, community-owned entities in post-crisis tourism landscapes.