Research Article
BibTex RIS Cite

ChatGPT’yi Yöresel Yiyecek Danışmanı Olarak Kullanma Niyeti: Algılanan Kullanım Kolaylığı, Kullanışlılık ve Güvenin Rolü

Year 2025, Volume: 6 Issue: 2, 106 - 115, 29.10.2025
https://doi.org/10.54493/jgttr.1767778

Abstract

Bu çalışma algılanan kullanım kolaylığı, algılanan kullanışlılık ve güvenin yöresel yiyeceklere yönelik ChatGPT kullanma niyeti üzerindeki etkisini araştırmayı amaçlamaktadır. Araştırma nicel araştırma deseni çerçevesinde yürütülmüştür. Araştırmanın verileri Kayseri ilini ziyaret eden yerli turistlerden gönüllülük esasına dayalı olarak toplanmıştır. Bu bağlamda 462 katılımcıdan toplanan veriler ile araştırma hipotezlerini test etmek için yapısal eşitlik modellemesi kullanılmıştır. Araştırma sonuçları algılanan kullanım kolaylığı, algılanan kullanışlılık ve güvenin turistlerin yöresel yiyecekleri keşfetme sürecinde ChatGPT’yi kullanma niyetlerini anlamlı ve olumlu biçimde etkilediğini göstermektedir. Başka bir ifadeyle, kullanıcı deneyimi ve güven algısı güçlendikçe niyet de artmaktadır. Dolayısıyla, yöresel yiyeceklere ilişkin bilgi arayışında ChatGPT sohbet robotu gibi yapay zekâ tabanlı araçların benimsenmesi, kullanım kolaylığı, kullanışlılık ve güven gibi algılamalara bağlı olarak güçlenmektedir. Çalışma, değişkenler arasındaki ilişkileri doğrulayarak ilgili alanyazına ampirik katkı sunmaktadır.

References

  • AbdulKareem, A. K., & Oladimeji, K. A. (2024). Cultivating the digital citizen: trust, digital literacy and e-government adoption. Transforming Government: People, Process and Policy, 18(2), 270–286.
  • Akhtar, N., & Siddiqi, U. I. (2024). Effects of service providers’ self-disclosure on booking platforms on consumers’ trust, hesitation, and booking intentions: moderating role of social media influencers. Journal of Hospitality Marketing & Management, 33(4), 470–498.
  • Aksoy, G., & Baş, M. (2021). Destinasyon pazarlamasında sanal tur kullanımına yönelik davranışsal niyeti etkileyen faktörlerin teknoloji kabul modeliyle incelenmesi. İşletme Araştırmaları Dergisi, 13(4), 2945-2961.
  • Ali, F., & ChatGPT OpenAI. (2023). Let the devil speak for itself: Should ChatGPT be allowed or banned in hospitality and tourism schools?. Journal of Global Hospitality and Tourism, 2(1), 1-6.
  • Ali, F., Yaşar, B., Ali, L., & Doğan, S. (2023). Antecedents and consequences of travelers' trust towards personalized travel recommendations offered by ChatGPT. International Journal of Hospitality Management, 114, Makale 103588.
  • Altınay, Z., Altınay, F., Tlili, A., & Vatankhah, S. (2024). Keep your friends close, but your enemies closer: “ChatGPT in tourism and hospitality”. Journal of Hospitality and Tourism Technology, 16(2), 213-228.
  • Aslan, A. (2025). ChatGPT’nin seyahat önerilerine duyulan güvenin gezginlerin davranışsal niyetine etkisi: Algılanan riskin aracılık rolü. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 69, 1-19.
  • Borovska, Y., & Yılmaz, H. (2021). Gastronomi ve mutfak sanatları öğrencilerinin akıllı restoran uygulamalarını kullanma niyetlerinin ölçülmesine yönelik bir araştırma. Journal of Gastronomy Hospitality and Travel, 4(1), 102-121.
  • Bui, H. T., Filimonau, V., & Sezerel, H. (2025). Exploring value co-creation and co-destruction between consumers & generative artificial intelligence (GAI) in travel. Tourism Management Perspectives, 58, Article 101392.
  • Carvalho, I., & Ivanov, S. (2023). ChatGPT for tourism: applications, benefits and risks. Tourism Review, 79(2), 290-303.
  • Cheng, X., Zhang, X., Cohen, J., & Mou, J. (2022). Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms. Information Processing & Management, 59(3), Article 102940.
  • Chouykaew, T., Kim, L., & Issayeva, G. (2024). How perceived ease of use, trust, and perceived usefulness influence tourists’ decision to book homestay services online. Geojournal of Tourism and Geosites, 56(4), 1609-1616.
  • Christensen, J., Hansen, J. M., & Wilson, P. (2024). Understanding the role and impact of generative artificial intelligence (AI) hallucination within consumers’ tourism decision-making processes. Current Issues in Tourism, 28(4), 1-16.
  • Chua, B., Kim, S., Hailu, T., Yu, J., Moon, H., & Han, H. (2023). Armchair tourism: authentic travel experience and armchair traveler stickiness. Journal of Travel & Tourism Marketing, 40(3), 203-220.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of informa-tion technology. MIS Quarterly, 13(3), 319-340.
  • Demir, M., & Demir, Ş. Ş. (2023) Is ChatGPT the right technology for service individualization and value co-creation? Evidence from the travel industry. Journal of Travel & Tourism Marketing, 40(5), 383-398.
  • Dülgaroğlu, O. (2024). Turizmde yapay zekâ teknolojileri ve robotlaşma. Uluslararası Turizm, Ekonomi ve İşletme Bilimleri Dergisi, 8(2), 82-95.
  • Emrullah, E., & Alper, I. (2023) ChatGPT ile sohbetler: Turizmde ChatGPT’nin önemi. Journal of Tourism & Gastronomy Studies, 11(1), 780-793.
  • Ergenekon Arslan, A., & Güven, Ö., Z. (2020). GTKM kapsamında akademisyenlerin çevrimiçi tatil satın alma davranışlarında eWOM’un etkisi. İşletme Araştırmaları Dergisi, 12(1), 43-64.
  • Eriş, E. D., & Kocabıyık, M. S. (2023). Teknoloji Kabul Modeli (Technology Acceptance Model) konulu çalışmalara yönelik bibliyometrik analiz. Paradigma: İktisadi ve İdari Araştırmalar Dergisi, 12(Özel Sayı), 42-56.
  • Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2015). How to Design and Evaluate Research in Education. New York: Mc Graw Hill Education.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (Seventh ed.). Pearson New International Edition, Harlow.
  • Hussein, L. A., Baharudin, A. S., Jayaraman, K., & Kiumarsi, S. (2019). B2B e-commerce technology factors with mediating effect perceived usefulness in Joranian manufacturis SMES. Journal of Engineering Science and Technology, 14(1), 411-429.
  • Kasaroğlu, K., & Güler, M. E. (2023). Teknoloji kabul modeliyle turizm eğitiminde sanal gerçeklik uygulamalarına ilişkin tutum ve kullanım niyetlerinin belirlenmesine yönelik bir araştırma. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 25(3), 1400-1426.
  • Khajehshahkoohi, M., Davoodi, S. R., & Shaaban, K. (2022). Factors affecting the behavioral intention of tourists on the use of bike sharing in tourism areas. Research in Transportation Business & Management, 43, Article 100742.
  • Kim, J. H., Kim, J., Kim, C., & Kim, S. (2023). Do you trust ChatGPTs? Effects of the ethical and quality issues of generative AI on travel decisions. Journal of Travel & Tourism Marketing, 40(9), 779-801.
  • Kim, J. H., Kim, J., Kim, S., & Hailu, T. B. (2024). Effects of AI ChatGPT on travelers’ travel decision-making. Tourism Review, 79(5), 1038-1057.
  • Kim, M. J., Kang, S. E., Hall, C. M., Kim, J. S., & Promsivapallop, P. (2025). Unveiling the impact of ChatGPT on travel consumer behaviour: exploring trust, attribute, and sustainable-tourism action. Current Issues in Tourism, 28(8), 1191-1196.
  • Kim, M., & Qu, H. (2014). Travelers’ behavioral intention toward hotel self-service kiosks usage. International Journal of Contemporary Hospitality Management, 26(2), 225-245.
  • Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford.
  • Koçoğlu, C. M. (2021). The evaluation of tourists’ online purchasing behaviors using Technology Acceptance Model (TAM). Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 9(1), 29-37.
  • Kühl, N., Schemmer, M., Goutier, M., & Satzger, G. (2022). Artificial intelligence and machine learning. Electronic Markets, 32, 2235–2244.
  • Latreche, H., Bellahcene, M., & Dutot, V. (2024). Does IT culture archetypes affect the perceived usefulness and perceived ease of use of e-banking services? A multistage approach of Algerian customers. International Journal of Bank Marketing, 42(7), 1760-1788.
  • Orel, D. F., & Arık, A. (2020). Sosyal medya pazarlamasının tüketici satın alma niyetine etkisinin teknoloji kabul modeli aracılığıyla incelenmesi. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 57, 205-232.
  • Özer, S., & Bayram, M. (2024). ChatGPT ve turizm: Araştırmalar ne öngörüyor?. Journal of Global Tourism and Technology Research, 5(1), 1-11.
  • Pillai, R., & Sivathanu, B. (2020). Adoption of AI-based chatbots for hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(10), 3199-3226.
  • Przegalinska, A., Ciechanowski, L., Stroz, A., Gloor, P., & Mazurek, G. (2019). In bot we trust: A new methodology of chatbot performance measures. Business Horizons, 62(6), 785-797.
  • Quan, W., Kim, S., Hailu, T.B., Ahmad, W., & Han, H. (2023). Exploring travelers’ readiness to adopt cryptocurrency payment (vs mobile payment). Current Issues in Tourism, 27(17), 2797-2814.
  • Sigala, M., Ooi, K. B., Tan, G. W. H., Aw, E. C. X., Buhalis, D., Cham, T. H., Chen, M. M., Dwivedi, Y. K., Gretzel, U.,
  • Inversini, A., & Jung, T. (2024). Understanding the impact of ChatGPT on tourism and hospitality: trends, prospects and research agenda. Journal of Hospitality and Tourism Management, 60, 384-390.
  • Singh, S. (2025). Number of ChatGPT users. available at: www.demandsage.com/chatgpt-statistics/. Erişim Tarihi: 12.06.2025.
  • Sökmen, A., Arıcı, H. E., & Çalışkan, G. (2024). Determinants of the usage of ChatGPT in the tourism and hospitality ındustry: A model proposal from the Technology Acceptance perspective. Journal of Tourism and Gastronomy Studies, 12(1), 626-644.
  • Stergiou, D. P., & Nella, A. (2024). ChatGPT and Tourist Decision-Making: An Accessibility– Diagnosticity Theory Perspective. International Journal of Tourism Research, 26, e2757.
  • Sufyan, M., & Khan, F. (2021). Investigating the effect of Perceived Usefulness and Perceived Ease of use of Immersive 360-degree videos on behavioral intentions in Tourism Marketing of Pakistan. Indian Journal of Economics and Business, 20(4), 1093-1104.
  • Süzer, Ö. (2025). The perception of professional cooks on 3D printer adoption: An analysis through the lens of the Technology Acceptance Model. Journal of Culinary Science & Technology, 23(4), 668-691. Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
  • Ünlü, H. (2025). Restoran işletmelerinde yöresel yemeklerin sunumunun önündeki engeller: Bayburt ili örneği. Turar Turizm ve Araştırma Dergisi, 14(1), 111-135.
  • Vu, Q. N., Vu, M. H., & Tran, D. A. (2024). The impact of ChatGPT on tourists' trust and travel planning intention: International researches and current situation in Vietnam. International Journal of Multidisciplinary Research and Analysis, 7(2), 516-521.
  • Wang, C., Liu, J., Wei, L., & Zhang, T. (2020). Impact of tourist experience on memorability and authenticity: A study of creative tourism. Journal of Travel & Tourism Marketing, 37(1), 48–63.
  • Wang, Y., Miao, H., Xiong, M., & Wang, Y. (2025). How does ChatGPT-generated information influence travel planning? The mediating role of inspiration. Tourism Review, (ahead-of-print). https://doi.org/10.1108/TR-03-2025-0235
  • Wicaksono, A., & Maharani, A. (2020). The effect of perceived usefulness and perceived ease of use on the technology acceptance model to use online travel agency. Journal of Business and Management Review, 1(5), 313-328.
  • Wong, I. A., Lian, Q. L., & Sun, D. (2023). Autonomous travel decision-making: An early glimpse into ChatGPT and generative AI. Journal of Hospitality and Tourism Management, 56, 253–263.
  • Zhang, M. (2023). Older people’s attitudes towards emerging technologies: A systematic literature review. Public Understanding of Science, 32(8), 948–968.
  • Zhou, C. Z. G., Hall, C. M., Fong, L. H. N., Lin, F., & Koupaei, S. N. (2024). Examining the effects of ChatGPT on tourism and hospitality student responses through integrating technology acceptance mode. International Journal of Tourism Research, 26, Makale e2727.

Intention to Use ChatGPT as a Local Food Advisor: The Role of Perceived Ease of Use, Perceived Usefulness, and Perceived Trust

Year 2025, Volume: 6 Issue: 2, 106 - 115, 29.10.2025
https://doi.org/10.54493/jgttr.1767778

Abstract

This study aims to investigate the effect of perceived ease of use, perceived usefulness, and trust on the intention to use ChatGPT for local foods. The research was conducted within the framework of a quantitative research design. The data for the study were collected voluntarily from local tourists visiting the province of Kayseri. In this context, structural equation modeling was used to test the research hypotheses with data collected from 462 participants. The research results show that perceived ease of use, perceived usefulness, and trust significantly and positively affect tourists' intention to use ChatGPT in the process of discovering local foods. In other words, as user experience and perceived trust increase, so does intention. Therefore, the adoption of AI-based tools such as the ChatGPT chatbot in the search for information about local foods is strengthened by perceptions such as ease of use, usefulness, and trust. The study provides an empirical contribution to the relevant literature by confirming the relationships between the variables.

References

  • AbdulKareem, A. K., & Oladimeji, K. A. (2024). Cultivating the digital citizen: trust, digital literacy and e-government adoption. Transforming Government: People, Process and Policy, 18(2), 270–286.
  • Akhtar, N., & Siddiqi, U. I. (2024). Effects of service providers’ self-disclosure on booking platforms on consumers’ trust, hesitation, and booking intentions: moderating role of social media influencers. Journal of Hospitality Marketing & Management, 33(4), 470–498.
  • Aksoy, G., & Baş, M. (2021). Destinasyon pazarlamasında sanal tur kullanımına yönelik davranışsal niyeti etkileyen faktörlerin teknoloji kabul modeliyle incelenmesi. İşletme Araştırmaları Dergisi, 13(4), 2945-2961.
  • Ali, F., & ChatGPT OpenAI. (2023). Let the devil speak for itself: Should ChatGPT be allowed or banned in hospitality and tourism schools?. Journal of Global Hospitality and Tourism, 2(1), 1-6.
  • Ali, F., Yaşar, B., Ali, L., & Doğan, S. (2023). Antecedents and consequences of travelers' trust towards personalized travel recommendations offered by ChatGPT. International Journal of Hospitality Management, 114, Makale 103588.
  • Altınay, Z., Altınay, F., Tlili, A., & Vatankhah, S. (2024). Keep your friends close, but your enemies closer: “ChatGPT in tourism and hospitality”. Journal of Hospitality and Tourism Technology, 16(2), 213-228.
  • Aslan, A. (2025). ChatGPT’nin seyahat önerilerine duyulan güvenin gezginlerin davranışsal niyetine etkisi: Algılanan riskin aracılık rolü. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 69, 1-19.
  • Borovska, Y., & Yılmaz, H. (2021). Gastronomi ve mutfak sanatları öğrencilerinin akıllı restoran uygulamalarını kullanma niyetlerinin ölçülmesine yönelik bir araştırma. Journal of Gastronomy Hospitality and Travel, 4(1), 102-121.
  • Bui, H. T., Filimonau, V., & Sezerel, H. (2025). Exploring value co-creation and co-destruction between consumers & generative artificial intelligence (GAI) in travel. Tourism Management Perspectives, 58, Article 101392.
  • Carvalho, I., & Ivanov, S. (2023). ChatGPT for tourism: applications, benefits and risks. Tourism Review, 79(2), 290-303.
  • Cheng, X., Zhang, X., Cohen, J., & Mou, J. (2022). Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms. Information Processing & Management, 59(3), Article 102940.
  • Chouykaew, T., Kim, L., & Issayeva, G. (2024). How perceived ease of use, trust, and perceived usefulness influence tourists’ decision to book homestay services online. Geojournal of Tourism and Geosites, 56(4), 1609-1616.
  • Christensen, J., Hansen, J. M., & Wilson, P. (2024). Understanding the role and impact of generative artificial intelligence (AI) hallucination within consumers’ tourism decision-making processes. Current Issues in Tourism, 28(4), 1-16.
  • Chua, B., Kim, S., Hailu, T., Yu, J., Moon, H., & Han, H. (2023). Armchair tourism: authentic travel experience and armchair traveler stickiness. Journal of Travel & Tourism Marketing, 40(3), 203-220.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of informa-tion technology. MIS Quarterly, 13(3), 319-340.
  • Demir, M., & Demir, Ş. Ş. (2023) Is ChatGPT the right technology for service individualization and value co-creation? Evidence from the travel industry. Journal of Travel & Tourism Marketing, 40(5), 383-398.
  • Dülgaroğlu, O. (2024). Turizmde yapay zekâ teknolojileri ve robotlaşma. Uluslararası Turizm, Ekonomi ve İşletme Bilimleri Dergisi, 8(2), 82-95.
  • Emrullah, E., & Alper, I. (2023) ChatGPT ile sohbetler: Turizmde ChatGPT’nin önemi. Journal of Tourism & Gastronomy Studies, 11(1), 780-793.
  • Ergenekon Arslan, A., & Güven, Ö., Z. (2020). GTKM kapsamında akademisyenlerin çevrimiçi tatil satın alma davranışlarında eWOM’un etkisi. İşletme Araştırmaları Dergisi, 12(1), 43-64.
  • Eriş, E. D., & Kocabıyık, M. S. (2023). Teknoloji Kabul Modeli (Technology Acceptance Model) konulu çalışmalara yönelik bibliyometrik analiz. Paradigma: İktisadi ve İdari Araştırmalar Dergisi, 12(Özel Sayı), 42-56.
  • Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2015). How to Design and Evaluate Research in Education. New York: Mc Graw Hill Education.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (Seventh ed.). Pearson New International Edition, Harlow.
  • Hussein, L. A., Baharudin, A. S., Jayaraman, K., & Kiumarsi, S. (2019). B2B e-commerce technology factors with mediating effect perceived usefulness in Joranian manufacturis SMES. Journal of Engineering Science and Technology, 14(1), 411-429.
  • Kasaroğlu, K., & Güler, M. E. (2023). Teknoloji kabul modeliyle turizm eğitiminde sanal gerçeklik uygulamalarına ilişkin tutum ve kullanım niyetlerinin belirlenmesine yönelik bir araştırma. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 25(3), 1400-1426.
  • Khajehshahkoohi, M., Davoodi, S. R., & Shaaban, K. (2022). Factors affecting the behavioral intention of tourists on the use of bike sharing in tourism areas. Research in Transportation Business & Management, 43, Article 100742.
  • Kim, J. H., Kim, J., Kim, C., & Kim, S. (2023). Do you trust ChatGPTs? Effects of the ethical and quality issues of generative AI on travel decisions. Journal of Travel & Tourism Marketing, 40(9), 779-801.
  • Kim, J. H., Kim, J., Kim, S., & Hailu, T. B. (2024). Effects of AI ChatGPT on travelers’ travel decision-making. Tourism Review, 79(5), 1038-1057.
  • Kim, M. J., Kang, S. E., Hall, C. M., Kim, J. S., & Promsivapallop, P. (2025). Unveiling the impact of ChatGPT on travel consumer behaviour: exploring trust, attribute, and sustainable-tourism action. Current Issues in Tourism, 28(8), 1191-1196.
  • Kim, M., & Qu, H. (2014). Travelers’ behavioral intention toward hotel self-service kiosks usage. International Journal of Contemporary Hospitality Management, 26(2), 225-245.
  • Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford.
  • Koçoğlu, C. M. (2021). The evaluation of tourists’ online purchasing behaviors using Technology Acceptance Model (TAM). Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 9(1), 29-37.
  • Kühl, N., Schemmer, M., Goutier, M., & Satzger, G. (2022). Artificial intelligence and machine learning. Electronic Markets, 32, 2235–2244.
  • Latreche, H., Bellahcene, M., & Dutot, V. (2024). Does IT culture archetypes affect the perceived usefulness and perceived ease of use of e-banking services? A multistage approach of Algerian customers. International Journal of Bank Marketing, 42(7), 1760-1788.
  • Orel, D. F., & Arık, A. (2020). Sosyal medya pazarlamasının tüketici satın alma niyetine etkisinin teknoloji kabul modeli aracılığıyla incelenmesi. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 57, 205-232.
  • Özer, S., & Bayram, M. (2024). ChatGPT ve turizm: Araştırmalar ne öngörüyor?. Journal of Global Tourism and Technology Research, 5(1), 1-11.
  • Pillai, R., & Sivathanu, B. (2020). Adoption of AI-based chatbots for hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(10), 3199-3226.
  • Przegalinska, A., Ciechanowski, L., Stroz, A., Gloor, P., & Mazurek, G. (2019). In bot we trust: A new methodology of chatbot performance measures. Business Horizons, 62(6), 785-797.
  • Quan, W., Kim, S., Hailu, T.B., Ahmad, W., & Han, H. (2023). Exploring travelers’ readiness to adopt cryptocurrency payment (vs mobile payment). Current Issues in Tourism, 27(17), 2797-2814.
  • Sigala, M., Ooi, K. B., Tan, G. W. H., Aw, E. C. X., Buhalis, D., Cham, T. H., Chen, M. M., Dwivedi, Y. K., Gretzel, U.,
  • Inversini, A., & Jung, T. (2024). Understanding the impact of ChatGPT on tourism and hospitality: trends, prospects and research agenda. Journal of Hospitality and Tourism Management, 60, 384-390.
  • Singh, S. (2025). Number of ChatGPT users. available at: www.demandsage.com/chatgpt-statistics/. Erişim Tarihi: 12.06.2025.
  • Sökmen, A., Arıcı, H. E., & Çalışkan, G. (2024). Determinants of the usage of ChatGPT in the tourism and hospitality ındustry: A model proposal from the Technology Acceptance perspective. Journal of Tourism and Gastronomy Studies, 12(1), 626-644.
  • Stergiou, D. P., & Nella, A. (2024). ChatGPT and Tourist Decision-Making: An Accessibility– Diagnosticity Theory Perspective. International Journal of Tourism Research, 26, e2757.
  • Sufyan, M., & Khan, F. (2021). Investigating the effect of Perceived Usefulness and Perceived Ease of use of Immersive 360-degree videos on behavioral intentions in Tourism Marketing of Pakistan. Indian Journal of Economics and Business, 20(4), 1093-1104.
  • Süzer, Ö. (2025). The perception of professional cooks on 3D printer adoption: An analysis through the lens of the Technology Acceptance Model. Journal of Culinary Science & Technology, 23(4), 668-691. Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
  • Ünlü, H. (2025). Restoran işletmelerinde yöresel yemeklerin sunumunun önündeki engeller: Bayburt ili örneği. Turar Turizm ve Araştırma Dergisi, 14(1), 111-135.
  • Vu, Q. N., Vu, M. H., & Tran, D. A. (2024). The impact of ChatGPT on tourists' trust and travel planning intention: International researches and current situation in Vietnam. International Journal of Multidisciplinary Research and Analysis, 7(2), 516-521.
  • Wang, C., Liu, J., Wei, L., & Zhang, T. (2020). Impact of tourist experience on memorability and authenticity: A study of creative tourism. Journal of Travel & Tourism Marketing, 37(1), 48–63.
  • Wang, Y., Miao, H., Xiong, M., & Wang, Y. (2025). How does ChatGPT-generated information influence travel planning? The mediating role of inspiration. Tourism Review, (ahead-of-print). https://doi.org/10.1108/TR-03-2025-0235
  • Wicaksono, A., & Maharani, A. (2020). The effect of perceived usefulness and perceived ease of use on the technology acceptance model to use online travel agency. Journal of Business and Management Review, 1(5), 313-328.
  • Wong, I. A., Lian, Q. L., & Sun, D. (2023). Autonomous travel decision-making: An early glimpse into ChatGPT and generative AI. Journal of Hospitality and Tourism Management, 56, 253–263.
  • Zhang, M. (2023). Older people’s attitudes towards emerging technologies: A systematic literature review. Public Understanding of Science, 32(8), 948–968.
  • Zhou, C. Z. G., Hall, C. M., Fong, L. H. N., Lin, F., & Koupaei, S. N. (2024). Examining the effects of ChatGPT on tourism and hospitality student responses through integrating technology acceptance mode. International Journal of Tourism Research, 26, Makale e2727.
There are 53 citations in total.

Details

Primary Language Turkish
Subjects Tourism (Other)
Journal Section Research Article
Authors

Ömer Ceyhun Apak 0000-0002-1409-6707

Early Pub Date October 26, 2025
Publication Date October 29, 2025
Submission Date August 18, 2025
Acceptance Date October 11, 2025
Published in Issue Year 2025 Volume: 6 Issue: 2

Cite

APA Apak, Ö. C. (2025). ChatGPT’yi Yöresel Yiyecek Danışmanı Olarak Kullanma Niyeti: Algılanan Kullanım Kolaylığı, Kullanışlılık ve Güvenin Rolü. Journal of Global Tourism and Technology Research, 6(2), 106-115. https://doi.org/10.54493/jgttr.1767778