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بررسی تأثیر پادکست مقصد بر قصد سفر گردشگران با نقش تعدیلگر اعتماد به پادکستهای ساختهشده با هوش مصنوعی: رویکرد آزمایشی | ||
| پژوهش های بازاریابی گردشگری و میهمان نوازی | ||
| مقاله 6، دوره 3، شماره 2 - شماره پیاپی 5، مهر 1404، صفحه 141-170 اصل مقاله (949.43 K) | ||
| نوع مقاله: مقاله پژوهشی مستقل | ||
| شناسه دیجیتال (DOI): 10.22080/tmhr.2026.30497.1096 | ||
| نویسندگان | ||
| ریحانه بیدرام1؛ سمیه صالحی* 2؛ ثریا بختیاری بستاکی2 | ||
| 1گروه مدیریت، واحد سمنان، دانشگاه آزاد اسلامی، سمنان، ایران | ||
| 2گروه مدیریت، واحد نجفآباد، دانشگاه آزاد اسلامی، نجفآباد، ایران | ||
| تاریخ دریافت: 20 آبان 1404، تاریخ بازنگری: 07 دی 1404، تاریخ پذیرش: 14 دی 1404 | ||
| چکیده | ||
| زمینه و هدف: هدف اصلی این پژوهش، بررسی تأثیر پادکست مقصد بر قصد سفر گردشگران با نقش متغیر میانجی تصویر کلی ادراک شده از مقصد و نقش متغیر تعدیلگر اعتماد به پادکستهای ساختهشده با هوش مصنوعی است. روش شناسی: این پژوهش از نظر هدف، کاربردی و از نظر ماهیت، کمی، آزمایشی و با طرح پیشآزمون–پسآزمون تکگروهی انجام شد. جامعۀ آماری شامل ۸۰۷ هزار دنبالکنندۀ صفحه «ایران تراول» در شبکههای اجتماعی بود و براساس جدول مورگان و کرجسی حجم نمونه ۳۸۴ نفر تعیین شد، اما برای افزایش دقت و اطمینان، ۴۰۰ پرسشنامه توزیع و نمونهگیری بهصورت متناسب انجام گردید. پادکست آزمایشی با استفاده از اپلیکیشن ویرا و مدلهای تولید گفتار مبتنی بر هوش مصنوعی طراحی شد تا تجربۀ شنیداری طبیعی، جذاب و قابل اعتماد از مقصد گردشگری اصفهان ایجاد کند. دادهها با پرسشنامۀ آنلاین گردآوری شد، روایی آن توسط خبرگان تأیید و پایایی متغیرها با آلفای کرونباخ بالاتر از ۰٫۷ تأیید گردید؛ تحلیلها با SPSS نسخۀ ۲۷ انجام شد. یافته ها: یافتهها نشان میدهد که پادکستهای مقصد بهطور معناداری تصویر شناختی، عاطفی و کلی مقصد را بهبود میبخشند و قصد سفر گردشگران را تقویت میکنند. تصویر شناختی با تأثیر مثبت بر تصویر عاطفی، در شکلگیری تصویر کلی مقصد نقش دارد و تصویر کلی ادراکشده نیز مستقیماً قصد سفر را افزایش میدهد. بااینحال، اعتماد به پادکست نقش تعدیلکنندۀ معناداری در این رابطه نشان نداد. بهطورکلی، پادکستهای مقصد ابزاری مؤثر در شکلدهی تصویر ذهنی و تقویت قصد سفر گردشگران هستند. نتیجه گیری و پیشنهادات: براساس یافتهها، پادکستهای مبتنی بر هوش مصنوعی میتوانند ابزار مؤثری در بازاریابی مقاصد گردشگری باشند. پیشنهاد میشود فعالان گردشگری با طراحی محتوای صوتی شخصیسازیشده و افزایش عناصر اعتماد، از این فناوری برای ارتقاء تصویر مقصد و ترغیب سفر استفاده کنند. نوآوری و اصالت: نوآوری پژوهش در افزودن متغیر اعتماد به پادکست به مدلهای رفتاری گردشگران و استفاده از پادکستهای تولیدشده با هوش مصنوعی بهعنوان ابزار تجربی بازاریابی گردشگری است؛ موضوعی نو که پیشتر بهصورت تجربی بررسی نشده است. | ||
| کلیدواژهها | ||
| پادکست؛ تصویر ذهنی مقصد؛ قصد سفر؛ اعتماد؛ هوش مصنوعی | ||
| عنوان مقاله [English] | ||
| The Role of Trust in AI-Generated Podcasts on Shaping Tourists’ Travel Intentions: An Experimental Approach | ||
| نویسندگان [English] | ||
| Reyhaneh Bidram1؛ Somayeh Salehi2؛ Soraya Bakhtiari Bastaki2 | ||
| 1Department of management, Se.C., Islamic Azad University, Semnan, Iran | ||
| 2Department of management, Na.C., Islamic Azad University, Najafabad, Iran | ||
| چکیده [English] | ||
| Context and Purpose: The main aim of this study is to examine the effect of destination podcasts on tourists’ travel intention, considering the mediating role of the overall perceived destination image and the moderating role of trust in AI-generated podcasts. Design/methodology/approach: This study is applied in purpose and quantitative in nature, conducted as a single-group pretest–posttest experimental design. The statistical population included 807,000 followers of the “Iran Travel” page on social media. Based on the Krejcie and Morgan table, the required sample size was 384, but to increase accuracy and confidence, 400 questionnaires were distributed using proportional sampling. The experimental podcast was designed using the Vira application and AI-based speech generation models to provide a natural, engaging, and reliable auditory experience of the tourist destination of Isfahan. Data were collected via an online questionnaire, whose content validity was confirmed by academic experts, and reliability of the variables was verified with Cronbach’s alpha above 0.7. Data analysis was conducted using SPSS version 27. Findings: The results indicate that destination podcasts significantly enhance the cognitive, emotional, and overall image of the destination and strengthen tourists’ travel intention. Cognitive image positively influences emotional image, which in turn contributes to shaping the overall perceived image, and the overall perceived image directly increases travel intention. However, trust in the podcast did not play a significant moderating role in this relationship. Overall, destination podcasts are effective tools for shaping mental images and boosting tourists’ travel intention. Conclusion: Based on the findings, AI-based podcasts can serve as effective tools in destination marketing. It is recommended that tourism practitioners design personalized audio content and enhance trust elements to leverage this technology for improving destination image and encouraging travel. Originality/value: The study’s novelty lies in incorporating trust in podcasts into tourists’ behavioral models and using AI-generated podcasts as an experiential marketing tool for tourism—an area that has not been empirically explored before. | ||
| کلیدواژهها [English] | ||
| Podcast, destination image, travel intention, trust, artificial intelligence | ||
| مراجع | ||
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Afshardoost, M., & Eshaghi, M. S. (2020). Destination image and tourist behavioural intentions: A meta-analysis. Tourism management, 81, 104154. https://doi.org/10.1016/j.tourman.2020.104154 Anjum, F., & Ali, Y. (2025). Smart tourism technologies and destination perception: implications for revisit intentions in mountainous destinations. Tourism and Hospitality Management, 31(1), 107. https://doi.org/10.20867/thm.31.1.8 Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency (pp. 610-623). https://doi.org/10.1145/3442188.3445922 Bidram, R., & Salehi, S. (2024). Studying the impact of artificial intelligence on purchase intention with the mediating variables of perceived value, satisfaction, and consumer engagement in social media. Journal of Modern Engineering Management, 10(4), 236–267. https://doi.org/10.71652/jmem.2024.1192304[ In Persian] Bommasani, R. (2021). On the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258. https://doi.org/10.48550/arXiv.2108.07258 Cervera-Taulet, A., Perez-Cabanero, C., & Schlesinger, W. (2019). Experience management as an innovative approach in emerging Mediterranean destinations. Journal of Business Research, 101, 536-547. https://doi.org/10.1016/j.jbusres.2018.11.037 Choi, Y., Hickerson, B., Lee, J., Lee, H., & Choe, Y. (2022). Digital Tourism and Wellbeing: Conceptual Framework to Examine Technology Effects of Online Travel Media. International Journal of Environmental Research and Public Health, 19(9), 5639. https://doi.org/10.3390/ijerph19095639 Fitó-Carreras, M., Vidal-Mestre, M., & Freire-Sánchez, A. (2025). The storytelling of destination podcasts of government tourism agencies for the promotion and construction of territorial identity. Radio Journal International Studies in Broadcast & Audio Media, 23(1), 127. https://doi.org/10.1386/rjao_00110_1 Gabriel, I., Manzini, A., Keeling, G., Hendricks, L. A., Rieser, V., Iqbal, H., Tomašev, N., Ktena, I., Kenton, Z., Rodriguez, M., El-Sayed, S., Brown, S., Akbulut, C., Trask, A., Hughes, E., Bergman, A. S., Shelby, R., Marchal, N., Griffin, C., … Manyika, J. (2024). The Ethics of Advanced AI Assistants. https://doi.org/10.48550/ARXIV.2404.16244 Guo, D., Yang, D., Zhang, H., Song, J., Wang, P., Zhu, Q., Xu, R., Zhang, R., Ma, S., Bi, X., Zhang, X., Yu, X., Wu, Z., Gou, Z., Shao, Z., Li, Z., Gao, Z., Liu, A., Xue, B., … Tian, P. (2025). DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning. Nature, 645(8081), 633. https://doi.org/10.1038/s41586-025-09422-z Ham, M., Kwak, K. T., Na, H., & Lee, S. W. (2025). Content Strategies to Improve the Performance of Audio Streaming Services: Focusing on Content Genre and Update Features. Sage Open, 15(1). https://doi.org/10.1177/21582440241304581 Han, J., Zhang, G., Xu, S., Law, R., & Zhang, M. (2022). Seeing destinations through short-form videos: Implications for leveraging audience involvement to increase travel intention. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1024286 Han, J., Zhang, G., Xu, S., Law, R., & Zhang, M. (2022). Seeing destinations through short-form videos: Implications for leveraging audience involvement to increase travel intention. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1024286 Hollebeek, L. D., & Macky, K. (2019). Digital content marketing's role in fostering consumer engagement, trust, and value: Framework, fundamental propositions, and implications. Journal of interactive marketing, 45(1), 27-41. https://doi.org/10.1016/j.intmar.2018.07.003 Hoo, W. C., Poh, N. M., & Khan, M. K. (2024). Factors influencing consumer behavior towards intention and the selection of luxury hotels in Malaysia using Theory of Planned Behavior. Innovative Marketing, 20(3), 81. https://doi.org/10.21511/im.20(3).2024.07 Hoseini Moghadam, M. (2023). Artificial intelligence and the future of scientific progress: From normal science to post-normal science. Quarterly Journal of BI Management Studies, 12(45), 71–116. https://doi.org/10.22054/ims.2023.74099.2341 [In Persian] Hutabarat, P. M., Onarelly, A. K., Setiawati, R., & Altamira, M. B. (2023). Podcast storytelling: A new way of tourism marketing in Indonesia. JCommsci – Journal of Media and Communication Science, 6(1), 1. https://doi.org/10.29303/jcommsci.v6i1.191 Iddrisu, M., Dankwa, D. D., & Nimsaah, W. K. (2025). The impact of podcast guest–host destination interactions on viewers’ inspiration and sharing intentions: The role of parasocial interaction. International Hospitality Review. Advance online publication. https://doi.org/10.1108/IHR-11-2024-0053 Ifedayo, A. E., Ziden, A. A., & Ismail, A. B. (2021). Mediating effect of behavioural intention on podcast acceptance. Education and information technologies, 26(3), 2767–2794. https://doi.org/10.1007/s10639-020-10385-z Jorgensen, B. (2021). Playing with perspective: Narrative voice and trust in Australian independent podcasts. Radio journal: International studies in broadcast & audio media, 19(1), 137-153. https://doi.org/10.1386/rjao_00038_1 Kamali, N., Nakamura, K., Chatzimparmpas, A., Hullman, J., & Groh, M. (2024). How to Distinguish AI-Generated Images from Authentic Photographs. https://doi.org/10.48550/ARXIV.2406.08651 Kapoor, S., Gruver, N., Roberts, M., Collins, K. M., Pal, A., Bhatt, U., Weller, A., Dooley, S., Goldblum, M., & Wilson, A. G. (2024). Large Language Models Must Be Taught to Know What They Don’t Know. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2406.08391 Khanam, F., Munmun, F. A., Ritu, N. A., Saha, A. K., & Mridha, M. F. (2022). Text to Speech Synthesis: A Systematic Review, Deep Learning Based Architecture and Future Research Direction. Journal of Advances in Information Technology, 13(5). https://doi.org/10.12720/jait.13.5.398-412 Kurunthachalam, N. P. (2024). The Effects of Voice Features in Voice Assistant Systems on Human Perceived Emotion. Deep Blue (University of Michigan). https://doi.org/10.7302/24915 Li, H., Bibi, S., Kanwel, S., Khan, A., & Hussain, B. (2025). Understanding of cultural heritage tourists' emotional experiences: How place attachment and satisfaction determine behavioral intentions. Acta Psychologica, 259, 105429. https://doi.org/10.1016/j.actpsy.2025.105429 Lieberman, A., Schroeder, J., & Amir, O. (2022). A voice inside my head: The psychological and behavioral consequences of auditory technologies. Organizational Behavior and Human Decision Processes, 170, 104133. https://doi.org/10.1016/j.obhdp.2022.104133 Lojo, A., Li, M., & Xu, H. (2020). Online tourism destination image: components, information sources, and incongruence. Journal of Travel & Tourism Marketing, 37(4), 495. https://doi.org/10.1080/10548408.2020.1785370 Luvsandavaajav, O., Narantuya, G., Dalaibaatar, E., & Raffay, Z. (2022). A Longitudinal Study of Destination Image, Tourist Satisfaction, and Revisit Intention. Journal of Tourism and Services, 13(24), 128. https://doi.org/10.29036/jots.v13i24.341 Manisha, M., & Datta, B. (2025). Travel podcast listening: Antecedents and segmentation. Tourism Management Perspectives, 55, 101333. https://doi.org/10.1016/j.tmp.2024.101333 Marques, C., Silva, R. V. da, & Antova, S. (2021). Image, satisfaction, destination and product post-visit behaviours: How do they relate in emerging destinations? Tourism Management, 85, 104293. https://doi.org/10.1016/j.tourman.2021.104293 Milovan, A.-M., Dobre, C., & Moisescu, O. I. (2024). Boosting brand behavioral intentions via integrated explicit product placements in podcasts. Journal of Business Research, 189, 115129. https://doi.org/10.1016/j.jbusres.2024.115129 Nguyen, T. T. T., & Tong, S. (2022). The impact of user-generated content on intention to select a travel destination. Journal of Marketing Analytics, 1–15. https://doi.org/10.1057/s41270-022-00174-7 Nilashi, M., Ali Abumalloh, R., Alrizq, M., Alghamdi, A., Samad, S., Almulihi, A., Althobaiti, M. M., Yousoof Ismail, M., & Mohd, S. (2022). What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology. Telematics and informatics, 69, 101795. https://doi.org/10.1016/j.tele.2022.101795 Ortanderl, F. (2025). Complex destination image formation: The changes through visitation among domestic tourists. European Journal of Tourism Research, 41, 4115. https://doi.org/10.54055/ejtr.v41i.4100 Palanisamy, B., & Rajasekaran, V. (2025). The listening renaissance: a theoretical exploration of audio-based digital narratives in literature. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-025-04394-x Rahimi Kolour, H., & Mohammadkhani, R. (2024). Designing a model of the consequences of using artificial intelligence and machine learning in advertising and sales. Intelligent Business Management Studies, 12(48), 223–270. https://doi.org/10.22054/ims.2024.76711.2403 [In Persian] Robins, B., Delaney, T., Maher, C., & Singh, B. (2024). Podcasts as a tool for promoting health-related behaviours: A scoping review. Digital health, 10, 20552076241288630. https://doi.org/10.1177/20552076241288630 Stadler, R., Bosio, B., & Loderer, M. (2025). Listen to your destination: The use of podcasts in destination marketing. Journal of Destination Marketing & Management, 37, 101022. https://doi.org/10.1016/j.jdmm.2025.101022 Štilić, A., Puška, A., & Ničić, M. (2025). The Role of Artificial Intelligence in Shaping The Future of Travel Industry: An Expert Analysis of Artificial Intelligence-Generated Travel Itineraries. DETUROPE - The Central European Journal of Tourism and Regional Development, 16(2), 57. https://doi.org/10.32725/det.2024.020 Taylor, C. R. (2024). Understanding podcast advertising: the need for more research. International Journal of Advertising, 43(6), 931–932. https://doi.org/10.1080/02650487.2024.2375179 Wang, M., Abd Rahman, A., Abdul Aziz, Y., & Adzharuddin, N. A. (2024). Effects of travel vlogs on travel intention of slow tourism in China: an evaluation of resonance and destination image. International Journal of Tourism Cities. https://doi.org/10.1108/ijtc-12-2023-0268 Wang, Z., Azhar, A., Rehman, N., & Javaid, M. U. (2025). Role of traditional vs social media on purchase intention: A sequential mediation model. Acta Psychologica, 260, 105510. https://doi.org/10.1016/j.actpsy.2025.105510 Xu, X. A., & Chen, F. (2024). Effective tourism destination stories: Matching effects between story type and destination type. Journal of Hospitality and Tourism Management, 60, 393-404. https://doi.org/10.1016/j.jhtm.2024.08.011 Yang, H., Song, H., Zhang, Y., Ma, E., & Yang, A.-Y. (2025). Communication modality, authenticity, and continuance usage intention of GenAI chatbots: A media richness theory perspective. Tourism Management, 112, 105273. https://doi.org/10.1016/j.tourman.2025.105273 Yu, X., & Cheng, M. (2025). Multimodality in tourism and hospitality: A critical and narrative review. Tourism Management, 111, 105245. https://doi.org/10.1016/j.tourman.2025.105245 Yuan, F., & Vui, C. N. (2023). The Influence of Destination Image on Tourists’ Behavioural Intentions: Explore How Tourists’ Perceptions of a Destination Affect Their Intentions to Visit, Revisit, or Recommend It to Others. Journal Of Advanced Zoology, 44, 1391. https://doi.org/10.17762/jaz.v44is6.2471 Zhou, Y., Liu, L., & Sun, X. (2022). The effects of perception of video image and online word of mouth on tourists’ travel intentions: Based on the behaviors of short video platform users. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.984240 Zhu, C., Hall, C. M., Li, T., Qin, Z., & Li, Y. (2025). When AI Meets Livestreaming: Exploring the Impact of Virtual Anchor on Tourist Travel Intention. Journal of Theoretical and Applied Electronic Commerce Research, 20(3),239. https://doi.org/10.3390/jtaer20030239 | ||
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