Üretken Yapay Zekâ Çağında Turizm Bilgisi Arama: Yapay Zekâ Okuryazarlığı, Güven ve Kişiselleştirmenin Rolü

Abdelrahman, S., Elzek, Y., & Aborya, A. (2026). The Power of AI Literacy in Developing Students' Innovative Behavior and Wellbeing in Tourism and Hospitality Education: The Roles of Creative Self-Efficacy and Learning Agility. In 2026 International Conference on AI Innovations and Industry (ICAIII) (pp. 1-5). IEEE. https://doi.org/10.1109/ICAIII69475.2026.11521480

Afroogh, S., Akbari, A., Malone, E., Kargar, M., & Alambeigi, H. (2024). Trust in AI: progress, challenges, and future directions. Humanities and Social Sciences Communications, 11(1), 1568. https://doi.org/10.1057/s41599-024-04044-8

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T

Allan, J., Choi, E., Lopresti, D. P., & Zamani, H. (2024). Future of Information Retrieval research in the age of generative AI. https://doi.org/10.48550/arXiv.2412.02043

Altürk, A. V. (2026). Exploring the Role of Generative Artificial Intelligence in Tourism Information Search Behavior. GSI Journals Serie A: Advancements in Tourism Recreation and Sports Sciences, 9(2), 644-659. https://doi.org/10.53353/atrss.1866245

Balaskas, S., Tsiantos, V., Chatzifotiou, S., & Rigou, M. (2025). Determinants of ChatGPT adoption intention in higher education: Expanding on TAM with the mediating roles of trust and risk. Information, 16(2), 82. https://doi.org/10.3390/info16020082

Boriati, D. (2025). Promoting AI Literacy in Contemporary Society. A Sociological Perspective. Sociology, 15(3), 103-110. https://doi.org/10.17265/2159-5526/2025.03.001

Čábyová, Ľ. (2024). The importance of AI literacy and advertising literacy in the dynamic environment of marketing communications. Marketing Identity, 41. https://doi.org/10.34135/mmidentity-2024-04

Çapuk, H., Yiğit, M. F., & Uçar, M. (2026). Exploring the relationship between health professionals’ artificial intelligence literacy and their attitudes toward artificial intelligence. Informatics for Health and Social Care, 1-12. https://doi.org/10.1080/17538157.2025.2602515

Chatterji, A., Cunningham, T., Deming, D. J., Hitzig, Z., Ong, C., Shan, C. Y., & Wadman, K. (2025). How people use ChatGPT (No. w34255). National Bureau of Economic Research.

Choung, H., David, P., & Ross, A. (2023). Trust in AI and its role in the acceptance of AI technologies. International Journal of Human–Computer Interaction, 39(9), 1727-1739. https://doi.org/0.1080/10447318.2022.2050543

Council of Higher Education. (2026). Öğrenim düzeyine göre öğrenci sayıları https://istatistik.yok.gov.tr/

Dağaşan, A. (2025). Dijital okuryazarlık ile yapay zekâ okuryazarlığı arasındaki ilişkide bilgi ve iletişim teknolojilerine yönelik tutumun aracı rolü. Uluslararası Türkçe Edebiyat Kültür Eğitim Dergisi, 14(1), 238-251. https://doi.org/10.7884/teke.1628023

Dangi, H., & Malik, A. (2017). Personalisation in marketing: an exploratory study. International Journal of Internet Marketing and Advertising, 11(2), 124-136. https://doi.org/10.1504/IJIMA.2017.084079

Demir, G. (2025). Artificial intelligence (AI) and robotic technologies implementation in libraries: An integrative literature review. Bilgi Yönetimi, 8(1), 77-98. https://doi.org/10.33721/by.1645554

Gupta, A. S., & Mukherjee, J. (2025). Framework for adoption of generative AI for information search of retail products and services. International Journal of Retail & Distribution Management, 53(2), 165-181. https://doi.org/10.1108/IJRDM-05-2024-0203

Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027. https://doi.org/10.1016/j.rmal.2022.100027

Hair Jr, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis. Cengage

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203

Hassan, N., Abdelraouf, M., & El-Shihy, D. (2025). The moderating role of personalized recommendations in the trust–satisfaction–loyalty relationship: an empirical study of AI-driven e-commerce. Future Business Journal, 11(1), 66. https://doi.org/10.1186/s43093-025-00476-z

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial management & data systems, 116(1), 2-20. https://doi.org/10.1108/IMDS-09-2015-0382

Hsiao, K. L., & Chen, C. C. (2022). What drives continuance intention to use a food-ordering chatbot? An examination of trust and satisfaction. Library Hi Tech, 40(4), 929-946. https://doi.org/10.1108/LHT-08-2021-0274

Jin, J. H., & Lee, J. H. (2024). Impact of ChatGPT service quality on the intention of generation Z to continue using it for tourism information search. Asia-pacific Journal of Convergent Research Interchange, 10, 223-233. http://dx.doi.org/10.47116/apjcri.2024.10.16

Ke, Q., Gong, Y., & Ke, C. (2025). Bridging AI literacy and UTAUT constructs: Structural equation modeling of AI adoption among Chinese university students. Humanities and Social Sciences Communications, 12(1), 1-13. https://doi.org/10.1057/s41599-025-05775-y

Kiremit, B. Y. (2026). Validation and Reliability of the Turkish Adaptation of the Artificial Intelligence Literacy Scale (AILS) for Healthcare Professionals. International Journal of Human–Computer Interaction, 42(10), 7087–7098. https://doi.org/10.1080/

10447318.2025.2556230

Koch, M. J., Wienrich, C., Straka, S., Latoschik, M. E., & Carolus, A. (2024). Overview and confirmatory and exploratory factor analysis of AI literacy scale. Computers and Education: Artificial Intelligence, 7. https://doi.org/10.1016/j.caeai.2024.100310

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10. https://doi.org/

10.4018/ijec.2015100101

Koo, I., Zaman, U., Ha, H., & Nawaz, S. (2025). Assessing the interplay of trust dynamics, personalization, ethical AI practices, and tourist behavior in the adoption of AI-driven smart tourism technologies. Journal of Open Innovation: Technology, Market, and Complexity, 11(1). https://doi.org/10.1016/j.joitmc.2024.100455

Koştu, N., & Arslan, S. (2026). The relationship between artificial intelligence literacy, eHealth literacy, and healthy lifestyles: a cross-sectional study with academic staff. Interactive Learning Environments, 1–11. https://doi.org/10.1080/10494820.2026.2657516

Li, X., Jin, J., Zhou, Y., Zhang, Y., Zhang, P., Zhu, Y., & Dou, Z. (2025). From matching to generation: A survey on generative information retrieval. ACM Transactions on Information Systems, 43(3), 1-62. https://doi.org/10.48550/arXiv.2404.14851

Liang, T. P., Chen, H. Y., & Turban, E. (2009, August). Effect of personalization on the perceived usefulness of online customer services: A dual-core theory. In Proceedings of the 11th International Conference on Electronic Commerce (pp. 279-288). https://doi.org/10.1145/1593254.1593296

Lin, T., Zhang, J., & Xiong, B. (2025). Effects of technology perceptions, teacher beliefs, and AI literacy on AI technology adoption in sustainable mathematics education. Sustainability, 17(8), 3698. https://doi.org/10.3390/su17083698

Linh, T. T., & Huyen, N. T. T. (2025). An extension of Trust and TAM model with TPB in the adoption of digital payment: An empirical study in Vietnam. F1000Research, 14, 127. https://doi.org/10.12688/f1000research.157763.3

Marr, B., (2025) What Is Zero Click and Why Is It Turning Marketing on Its Head? https://www.forbes.com/sites/bernardmarr/2025/08/07/what-is-zero-click-and-why-is-it-turning-marketing-on-its-head/

Memon, S. A., & West, J. D. (2024). Search engines post-ChatGPT: How generative artificial intelligence could make search less reliable. https://arxiv.org/abs/2402.11707

Moazenzadeh, D., & Hamidi, H. (2018). Analysis and development of technology acceptance model in mobile bank field. International Journal of Engineering. 31(9) 1521-1528.

Murugesan, S., Sivakumaran, B., Sharma, P., & Ganesan, L. (2025). Artificial Intelligence and Consumer Information Search: A Review, Synthesis, and Propositions. IEEE Transactions on Engineering Management, 73, 1100-1115. https://doi.org/10.1109/TEM.2025.3648018

Mustofa, R. H., Kuncoro, T. G., Atmono, D., & Hermawan, H. D. (2025). Extending the technology acceptance model: The role of subjective norms, ethics, and trust in AI tool adoption among students. Computers and Education: Artificial Intelligence, 8, 100379. https://doi.org/10.1016/j.caeai.2025.100379

Ning, Y., Zhang, W., Yao, D., Fang, B., Xu, B., & Wijaya, T. T. (2025). Development and validation of the artificial intelligence literacy scale for teachers (AILST). Education and Information Technologies, 30(12), 17769-17803. https://doi.org/10.1007/s10639-025-13347-5

Nugroho, I. S., Priyanto, D., & Purnama, Y. (2024). Exploring the role of artificial intelligence (AI) in designing and optimizing personalization strategies to enhance customer experience in the tourism industry. Technology and Society Perspectives (TACIT), 2(3), 292-298. https://doi.org/10.61100/tacit.v2i3.247

Rafieian, O. & Yoganarasimhan, H. (2022). AI and Personalization. Cornell SC Johnson College of Business Available at http://dx.doi.org/10.2139/ssrn.4123356

Rouse, W. B., & Rouse, S. H. (1984). Human information seeking and design of information systems. Information Processing & Management, 20(1-2), 129-138. https://doi.org/10.1016/0306-4573(84)90044-X

Savolainen, R. (1995). Everyday life information seeking: Approaching information seeking in the context of “way of life”. Library & information science research, 17(3), 259-294. https://doi.org/10.1081/E-ELIS3-120043920

Seker, O., Kwon, K., & Kocak, O. (2025). Exploring researchers’ artificial intelligence (AI) literacy: The mediating role of digital literacy and data literacy between 21st century skills and AI literacy. Information Development. https://doi.org/10.1177/02666669251336368

Singhal, R. K., Patel, B. A., Singh, M., Khanna, M. C., Ogunmola, G. A., & Bhosale, Y. H. (2025). AI-powered personalization in e-commerce: Consumer perceptions, trust, and purchase decision-making. Advances in Consumer Research, 2(4), 3779-3786.

Sipos, D. (2025). The effects of AI-powered personalization on consumer trust, satisfaction, and purchase intent. European Journal of Applied Science, Engineering and Technology, 3(2), 14-24. https://doi.org/10.59324/EJASET.2025.3(2).02

Stolpe, K., & Hallström, J. (2024). Artificial intelligence literacy for technology education. Computers and Education Open, 6, 100159. https://doi.org/10.1016/j.caeo.2024.100159

Sujood, Bano N, Siddiqui S (2024), "Consumers' intention towards the use of smart technologies in tourism and hospitality (T&H) industry: a deeper insight into the integration of TAM, TPB and trust". Journal of Hospitality and Tourism Insights, 7 No. 3 pp. 1412–1434, doi: https://doi.org/10.1108/JHTI-06-2022-0267

Sun, W., Yan, L., Ma, X., Wang, S., Ren, P., Chen, Z., ... & Ren, Z. (2023, December). Is ChatGPT good at search? Investigating large language models as re-ranking agents. In Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (pp. 14918-14937). https://doi.org/10.18653/v1/2023.emnlp-main.923

Syed, A., Rahi, S., & Ahmad, M. B. (2026). The moderating role of artificial intelligence literacy in sustainable tourism development. Journal of Management Science Research Review, 5(2), 353-368.

Tan, Y., Zeng, X., & Tan, X. (2025, May). The Impact of Generative Artificial Intelligence Literacy and Use on College Students' Personalized Learning. In 2025 5th International Conference on Artificial Intelligence and Education (ICAIE) (pp. 250-253). IEEE. https://doi.org/ 10.1109/ICAIE64856.2025.11158707

Teepapal, T. (2025). AI-driven personalization: Unraveling consumer perceptions in social media engagement. Computers in Human Behavior, 165, 108549. https://doi.org/10.1016/j.chb.2024.108549

Thiangtham, K., Singhachotsukpat, R., Wilapana, C., Songkram, N., & Khlaisang, J. (2026). The Impact of AI Literacy on Undergraduate Autonomous Learning. Electronic Journal of e-Learning, 24(2), 32-46. https://doi.org/10.34190/ejel.24.2.4188

Wang, B., Rau, P. L. P., & Yuan, T. (2023). Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale. Behaviour & information technology, 42(9), 1324-1337. https://doi.org/10.1080/0144929X.

2022.2072768

Won J, & Lee CH (2026). Sustaining tourists’ adoption of generative AI for travel planning: the role of information quality and AI literacy. Journal of Hospitality and Tourism Technology, https://doi.org/10.1108/JHTT-10-2025-0937

Xia, T., Yu, C., Pan, X., & Chen, Y. (2026). An empirical study of user willingness to continuously use AI-assisted search tools: an extension based on the ECM and TAM theoretical models. Humanities and Social Sciences Communications.13, 807. https://doi.org/10.1057/s41599-026-06711-4

Yang, R., & Wibowo, S. (2022). User trust in artificial intelligence: A comprehensive conceptual framework. Electronic Markets, 32(4), 2053–2077. https://doi.org/10.1007/s12525-022-00592-6

Zhou, X., Pan, Z., & Li, L. (2026, March). Exploring the Relationship between AI Trust and AI Literacy among Chinese College Students. In 15th International Conference on Educational and Information Technology (ICEIT), Xi'an, China, 2026, pp. 1187-1192, doi: 10.1109/ICEIT68991.2026.11521719

Zhu, C. Z. G., Hall, C. M., Fong, L. H. N., Lin, F., & Naderi Koupaei, S. (2024). Examining the effects of ChatGPT on tourism and hospitality student responses through integrating technology acceptance model. International Journal of Tourism Research, 26(4), e2727. https://doi.org/10.1002/jtr.2727

Zhu, Y., Yuan, H., Wang, S., Liu, J., Liu, W., Deng, C., ... & Wen, J. R. (2025). Large language models for information retrieval: A survey. ACM Transactions on Information Systems, 44(1), 1-54. https://doi.org/10.48550/arXiv.2308.07107