Exploring the Role of Generative Artificial Intelligence in Tourism Information Search Behavior

Abstract

Artificial intelligence applications have been adopted in numerous domains. Existing studies have yet to sufficiently address how generative artificial intelligence is used in tourism information search process. This research introduces a conceptual model examining the relationships among hedonic motivation, perceived usefulness, satisfaction, and behavioral intentions. The data were collected via a survey from 358 university students selected using convenience sampling, and PLS-SEM was used for the analysis. All hypothesized relationships were supported with the exception of the relationship between hedonic motivation and behavioral intention. The results of the study highlight the significant role of generative artificial intelligence, such as ChatGPT, in students’ tourism information search behavior. Both utilitarian and hedonic factors positively influence university students’ adoption of ChatGPT for the purpose of seeking tourism information. While hedonic motivation significantly predicts perceived usefulness and satisfaction it has no significant effect on behavioral intentions. Also perceived usefulness is a key antecedent of satisfaction and behavioral intention. This study extends the technology and tourism literature by examining how generative artificial intelligence is utilized in tourism information search behavior.

Keywords

• Generative Artificial Intelligence
• ChatGPT
• Tourism Information Search Behavior
• Hedonic Motivation
• Perceived Usefulness

Ethical Statement

Ethics committee approval for this study was obtained from the Scientific Research and Publication Ethics Committee of Mardin Artuklu University on December 22, 2025, under number 232833.

Turizm Bilgisi Arama Davranışında Üretken Yapay Zekanın Rolünün İncelenmesi

Abstract

Yapay zekâ uygulamaları birçok alanda benimsenmiştir. Mevcut çalışmalar, üretken yapay zekânın turizm bilgi arama sürecinde nasıl kullanıldığını henüz yeterince ele almamıştır. Bu araştırma hedonik motivasyon, algılanan fayda, memnuniyet ve davranışsal niyet arasındaki ilişkileri inceleyen kavramsal bir model sunmaktadır. Araştırmanın verileri, kolayda örnekleme yöntemiyle belirlenen 358 üniversite öğrencisinden anket tekniği kullanılarak toplanmış ve analiz için PLS-SEM kullanılmıştır. Araştırma bulgularına göre hedonik motivasyon ile davranışsal niyet arasındaki ilişki hariç olmak üzere, varsayılan tüm ilişkiler desteklenmiştir. Çalışmanın sonuçları, ChatGPT gibi üretken yapay zekâ uygulamalarının üniversite öğrencilerinin turizm bilgisi arama davranışında önemli bir rol oynadığını ortaya koymaktadır. Hem faydacı hem hedonik faktörler, üniversite öğrencilerinin turizm bilgisi aramak amacıyla ChatGPT’yi benimsemesinde etkili olmaktadır. Hedonik motivasyon, algılanan fayda ve memnuniyeti önemli ölçüde etkilese de davranışsal niyetler üzerinde anlamlı bir etkisi yoktur. Algılanan fayda, memnuniyet ve davranışsal niyetler üzerinde anlamlı ve olumlu bir etkiye sahiptir. Ayrıca algılanan fayda, memnuniyet ve davranışsal niyetin temel öncülüdür. Bu çalışma, ChatGPT’nin turizm bilgi arama sürecinde nasıl kullanıldığını inceleyerek teknoloji ve turizm literatürüne katkı sağlamaktadır.

Keywords

• Üretken Yapay Zekâ
• ChatGPT
• Turizm Bilgi Arama Davranışı
• Hedonik motivasyon
• Algılanan Fayda

Ethical Statement

Bu çalışma için Mardin Artuklu Üniversitesi Bilimsel Araştırmalar ve Yayın Etiği Kurulu'ndan 22 Aralık 2025 tarih ve 232833 sayısıyla etik kurul onayı alınmıştır

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