A SYSTEMATIC NARRATIVE REVIEW (SNR) OF ARTIFICIAL INTELLIGENCE (AI) APPLICATIONS IN TOURISM

Öz

Although numerous review articles exist on various applications of artificial intelligence (AI) in the tourism and hospitality sector, there is a gap in evaluating the effectiveness of AI methods and algorithms applied to specific applications and various multimodal data domains. Therefore, this study aims to comprehensively examine and analyze established AI methods in the hospitality/tourism industry, encompassing demand forecasting, destination analysis, behavioral patterns, and data modeling for improved customer service and experience. This methodology examines the relationship between AI methods and their applications in hospitality/tourism as a systematic narrative review (SNR), based on a comprehensive literature review from 2010-2023. This review provides new insights into the selection of AI methods adapted to specific environments and various multimodal datasets prevalent in the hospitality and tourism sectors. Furthermore, methods that could potentially drive advancements in the tourism/hospitality sector are identified. Additionally, this study presents a pioneering approach to developing personalized AI models targeting intelligent tourism platforms to accurately predict tourism preference behavior patterns. This comprehensive SNR (Strategic Realization) examines the effectiveness of AI methods in the tourism and hospitality sectors, addressing specific applications and various multimodal data domains, and shedding light on theoretical and practical advancements in data collection, analysis, and modeling through AI-powered technology. Furthermore, this study advances the theoretical and practical aspects of AI-powered technology in the field by offering a pioneering approach to developing personalized AI models for smart tourism platforms.

Anahtar Kelimeler

• Artificial intelligence (AI)
• Hospitality/tourism
• AI methods/algorithms

TURİZMDE YAPAY ZEKA (YZ) UYGULAMALARINA DAİR SİSTEMATİK BİR ANLATIMSAL İNCELEMESİ (SAİ)

Öz

Turizm ve konaklama sektöründe yapay zekânın (YZ) çeşitli uygulamalarına dair çok sayıda inceleme makalesi bulunmasına rağmen, belirli uygulamalar ve çeşitli çok modlu veri alanları için uygulanan YZ yöntemlerinin ve algoritmalarının etkinliğinin değerlendirilmesinde bir boşluk bulunmaktadır. Bu nedenle, bu çalışma, talep tahmini, destinasyon analizi, davranış kalıpları ve geliştirilmiş müşteri hizmetleri ve deneyimi için veri modellemesini kapsayan, konaklama/turizm endüstrisi alanında yerleşik YZ yöntemlerini kapsamlı bir şekilde incelemeyi ve analiz etmeyi amaçlamaktadır. Bu metodoloji, 2010-2023 yılları arasındaki kapsamlı bir literatür taramasına dayanarak, YZ yöntemleri ile konaklama/turizmdeki uygulamaları arasındaki ilişkiyi sistematik anlatı incelemesi (SAİ) olarak incelemektedir. Bu inceleme, konaklama ve turizm sektörlerinde yaygın olan belirli ortamlara ve çeşitli çok modlu veri kümelerine uyarlanmış YZ yöntemlerinin seçimine ilişkin yeni bilgiler sağlamaktadır. Ayrıca, turizm/konaklama sektöründe ilerlemeleri potansiyel olarak sağlayabilecek yöntemler de belirlenmiştir. Ek olarak, bu çalışma, turizm tercih davranış kalıplarını doğru bir şekilde tahmin etmek için akıllı turizm platformlarını hedefleyen kişiselleştirilmiş YZ modelleri geliştirmeye yönelik öncü bir yaklaşım sunmaktadır. Bu kapsamlı SAİ, turizm ve konaklama sektörlerinde YZ yöntemlerinin etkinliğini, belirli uygulamaları ve çeşitli çok modlu veri alanlarını ele alarak yapay zekâ destekli teknoloji aracılığıyla veri toplama, analiz ve modelleme alanlarındaki teorik ve pratik gelişmelere ışık tutmaktadır. Bu çalışma ayrıca, akıllı turizm platformları için kişiselleştirilmiş yapay zekâ modelleri geliştirme konusunda öncü bir yaklaşım sunarak, yapay zekâ destekli teknolojinin alandaki teorik ve pratik yönlerini ilerletmektedir.

Anahtar Kelimeler

• Yapay zekâ (YZ)
• Otelcilik/Turizm
• YZ yöntemleri/algoritmaları

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