Exploring Digital Tourist Behavior Among Young Visitors at Indonesian Cultural Heritage Destinations: A Mixed-Method Study

Authors

  • Fahrais Zahrudy Universitas Gadjah Mada, Indonesia
  • Putra Juliansen Siregar Siagian Universitas Gadjah Mada, Indonesia
  • Nuuriya Salsabila Universitas Gadjah Mada, Indonesia
  • I Made Ariana Ananta Kusuma Universitas Gadjah Mada, Indonesia
  • Tsara Tsurayya Firdalia Universitas Gadjah Mada, Indonesia

DOI:

https://doi.org/10.32659/tsj.v11i1.437

Keywords:

User-Generated Content, Firm-Generated Content, Electronic Word-of-Mouth, Destination Image, Tourist Satisfaction, Digital Tourist Behavior

Abstract

The study examines how digital content influences the perception and satisfaction of tourists visiting Indonesian cultural heritage sites. As social media has become pervasive, young travelers now go to historic sites guided by four main sources of online interaction, namely user-generated content (UGC), firm-generated content (FGC), word-of-mouth (WOM), and electronic word-of-mouth (eWOM). The study employed an exploratory sequential mixed-method approach, beginning with qualitative interviews to explore tourists’ digital experiences, followed by a quantitative survey of 160 respondents who had previously visited heritage destinations in Indonesia. Findings indicate that UGC has the greatest impact on destination image, followed by WOM, FGC, and eWOM. Destination image, in turn, mediates the relationship between digital content and tourist satisfaction. Both findings combined support the importance of digital narratives and social validation in managing expectations and enhancing the tourist experience. The paper offers practical implications for destination marketers and tourism managers to develop content strategies aligned with contemporary online tourist behavior. Overall, a nuanced understanding of the interplay between digital content and visitor perception is essential for creating more experience-driven and sustainable approaches to heritage tourism in the digital era.

Author Biography

Fahrais Zahrudy, Universitas Gadjah Mada

Fahrais Zahrudy, S.M. is currently a graduate student at the Master of Business Administration (MBA) Program, Universitas Gadjah Mada. He earned his Bachelor of Management from Universitas Diponegoro. His academic interests include digital marketing, influencer research, and consumer behavior. He actively participates in social media marketing research and academic collaborations related to online consumer trends. Email: fahraiszahrudy@mail.ugm.ac.id

References

Badan Pusat Statistik. (2024). Statistik Wisatawan Nasional: Outbound Tourism Statistics 2023 (Vol. 3). https://www.bps.go.id

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Burgess, S., Sellitto, C., Cox, C., & Buultjens, J. (2009). User-generated content (UGC) in tourism: Benefits and concerns of online consumers. Carmen Cox.

Chi, C. G.-Q., & Qu, H. (2008). Examining the structural relationships of destination image, tourist satisfaction and destination loyalty: An integrated approach. Tourism Management, 29(4), 624–636. https://doi.org/10.1016/j.tourman.2007.06.007

Creswell, J. W. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (Fifth Edition). SAGE Publications.

Dávid, L. D., Rahmat, A. F., & Priatmoko, S. (2024). Main trends in the tourism industry in Indonesia between 2020–2023. Journal of Infrastructure, Policy and Development, 8(11), 8162. https://doi.org/10.24294/jipd.v8i11.8162

Filieri, R., & McLeay, F. (2014). E-WOM and Accommodation. Journal of Travel Research, 53(1), 44–57. https://doi.org/10.1177/0047287513481274

Guo, X., & Pesonen, J. A. (2022). The role of online travel reviews in evolving tourists’ perceived destination image. Scandinavian Journal of Hospitality and Tourism, 22(4–5), 372–392. https://doi.org/10.1080/15022250.2022.2112414

Hernández-Ortega, B., San Martín, H., Herrero, Á., & Franco, J. L. (2020). What, how and when? Exploring the influence of firm-generated content on popularity in a tourism destination context. Journal of Destination Marketing & Management, 18, 100504. https://doi.org/10.1016/j.jdmm.2020.100504

Hosany, S., Prayag, G., Deesilatham, S., Cauševic, S., & Odeh, K. (2015). Measuring Tourists’ Emotional Experiences. Journal of Travel Research, 54(4), 482–495. https://doi.org/10.1177/0047287514522878

Jalilvand, M. R. (2017). Word-of-mouth vs. mass media: their contributions to destination image formation. Anatolia, 28(2), 151–162. https://doi.org/10.1080/13032917.2016.1270840

Kitsios, F., Mitsopoulou, E., Moustaka, E., & Kamariotou, M. (2022). User-Generated Content in Social Media: A Twenty-Year Bibliometric Analysis in Hospitality. Information, 13(12), 574. https://doi.org/10.3390/info13120574

Lappin, T., & Mishra, A. (2023). The way we travel now. McKinsey & Company. https://www.mckinsey.com/industries/travel/our-insights/the-way-we-travel-now

Li, H., Liu, H., Hailey Shin, H., & Ji, H. (2024). Impacts of user-generated images in online reviews on customer engagement: A panel data analysis. Tourism Management, 101, 104855. https://doi.org/10.1016/j.tourman.2023.104855

Mara Solutions. (2023). Online review statistics every hotel needs to know. https://www.mara-solutions.com/post/online-review-statistics-every-hotel-needs-to-know

Mariani, M. M., Perez‐Vega, R., & Wirtz, J. (2022). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology & Marketing, 39(4), 755–776. https://doi.org/10.1002/mar.21619

Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. In An approach to environmental psychology. The MIT Press.

Neuman, W. Lawrence. (2014). Social research methods : qualitative and quantitative approaches. Pearson.

O’brien, R. M. (2007). A Caution Regarding Rules of Thumb for Variance Inflation Factors. Quality & Quantity, 41(5), 673–690. https://doi.org/10.1007/s11135-006-9018-6

Oliver, R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17(4), 460. https://doi.org/10.2307/3150499

Perez-Aranda, J., Tolkach, D., & Panchal, J. H. (2024). Reputation and eWOM in accommodation decision-making: insights from Generation Z users. Tourism Review. https://doi.org/10.1108/TR-03-2024-0185

Petty, R. E., & Cacioppo, J. T. (1986). Communication and Persuasion. Springer New York. https://doi.org/10.1007/978-1-4612-4964-1

Reza Jalilvand, M., & Samiei, N. (2012). The impact of electronic word of mouth on a tourism destination choice. Internet Research, 22(5), 591–612. https://doi.org/10.1108/10662241211271563

Schmallegger, D., & Carson, D. (2008). Blogs in tourism: Changing approaches to information exchange. Journal of Vacation Marketing, 14(2), 99–110. https://doi.org/10.1177/1356766707087519

Silaban, P. H., Chen, W.-K., Sormin, S., B. P. Panjaitan, Y. N., & Silalahi, A. D. K. (2023). How does electronic word of mouth on Instagram affect travel behaviour in Indonesia: A perspective of the information adoption model. Cogent Social Sciences, 9(1). https://doi.org/10.1080/23311886.2022.2163525

Sobarna, A. (2023). Empirical Analysis of Destination Image Through Tiktok Video Comments. Journal of Tourism Sustainability, 3(3), 150–158. https://doi.org/10.35313/jtospolban.v3i3.102

Statista. (2024). Attitudes towards traveling in Indonesia as of June 2024. https://www.statista.com/forecasts/823408/attitudes-towards-traveling-in-indonesia#:~:text=When%20asked%20about%20,as

Stylos, N., Vassiliadis, C. A., Bellou, V., & Andronikidis, A. (2016). Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination. Tourism Management, 53, 40–60. https://doi.org/10.1016/j.tourman.2015.09.006

Sun, H., Qiu, M., & Feng, W. (2025). Impact of Electronic Word-of-Mouth Dispersion on Tourists’ Purchase Intentions for Local Food Restaurants. Journal of Hospitality & Tourism Research. https://doi.org/10.1177/10963480241311116

TriCruise. (2023). TikTok marketing in Indonesia: Current trends of TikTok usage and user behavior. https://tricruise.id/column/tiktok-marketing-in-indonesia/

Wang, N. (1999). Rethinking authenticity in tourism experience. Annals of Tourism Research, 26(2), 349–370. https://doi.org/10.1016/S0160-7383(98)00103-0

Watkins, M. W. (2018). Exploratory Factor Analysis: A Guide to Best Practice. Journal of Black Psychology, 44(3), 219–246. https://doi.org/10.1177/0095798418771807

Wijaya, C. O., Wijaya, S., & Jaolis, F. (2025). The influence of social media content on attitude, destination image and intention of female Muslim travelers to visit halal destinations: comparison between UGC and FGC. Journal of Islamic Marketing, 16(2), 402–427. https://doi.org/10.1108/JIMA-08-2023-0235

Wu, X., & Lai, I. K. W. (2021). Identifying the response factors in the formation of a sense of presence and a destination image from a 360-degree virtual tour. Journal of Destination Marketing & Management, 21, 100640. https://doi.org/10.1016/j.jdmm.2021.100640

YouGov. (2023). Gen Z Wanderlust Sentiment: APAC insights . https://commercial.yougov.com/rs/464-VHH-988/images/yougov-id-Gen%20Z-Wanderlust-Sentiment-oct23-APAC-v1.pdf

Zahrudy, F., & Rany, T. A. P. (2025). From Perception to Purchase: How Anthropomorphism Shapes Buying Intentions through Product Knowledge. Journal of Management and Entrepreneurship Research, 6(3), 188–203. https://doi.org/10.34001/jmer.2025.9.06.3-69

Zhao, Y., Zhan, Q., Du, G., & Wei, Y. (2024). The effects of involvement, authenticity, and destination image on tourist satisfaction in the context of Chinese ancient village tourism. Journal of Hospitality and Tourism Management, 60, 51–62. https://doi.org/10.1016/j.jhtm.2024.06.008

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Published

2025-12-30

How to Cite

Zahrudy, F., Siagian, P. J. S. ., Salsabila, N. ., Kusuma, I. M. A. A. ., & Firdalia, T. T. . (2025). Exploring Digital Tourist Behavior Among Young Visitors at Indonesian Cultural Heritage Destinations: A Mixed-Method Study. Tourism Scientific Journal, 11(1), 34–49. https://doi.org/10.32659/tsj.v11i1.437

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