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Abstract
The rapid growth of digital platforms in Indonesia has changed the way young travelers adopt information. Young travelers increasingly rely on user-generated content available on digital platforms, particularly Online Consumer Reviews (OCR) such as Google Reviews. This study examines the impact of the central route dimensions, which are part of the Elaboration Likelihood Model (ELM) message processing route, on the information adoption behavior of young travelers visiting the Millennium Glow Garden tourist attraction, a popular destination among youth due to its high-tech offerings. The study uses data from 385 respondents who have visited this destination with the help of Google Reviews. Multiple linear regression analysis was conducted on the six central route dimensions: information timeliness, information understandability, information relevance, information accuracy, value-added information, and information completeness. The findings provide strong evidence that timely, easily understandable, relevant, accurate, value-added, and complete information significantly influences the information adoption behavior of young travelers. These findings confirm the applicability of central route processing in the ELM within the context of tourism, particularly among young travelers who are closely tied to the digital evolution.
References
Arora, A., & Lata, S. (2020). The impact of online reviews on purchase decision. International Journal of Management Studies, 7(1), 49–58.
Aryani, D. N., Nair, R. K., Hoo, D. X. Y., Kee, D. M. H., Lim, D. H. R., Chandran, D. A. R., Chew, W. P., & Desai, A. (2021). A study on consumer behaviour: Transition from traditional shopping to online shopping during the COVID-19 pandemic. International Journal of Applied Business and International Management, 6(2), 1–15. https://doi.org/10.32535/ijabim.v6i2.1170
Cheung, C. M., Lee, M. K., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229–247. https://doi.org/10.1108/10662240810883290
Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345–354. https://doi.org/10.1509/jmkr.43.3.345
Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, 68(6), 1261–1270.
Filieri, R., & McLeay, F. (2013). E-WOM and accommodation: An analysis of the determinants of consumers’ intentions to use e-WOM in the hotel industry. Journal of Travel Research, 52(5), 597–609.
Gascon, V., Figueroa, C., & Gomez, E. (2023). Digital consumer behavior and the effect of online reviews in the tourism industry. International Journal of Tourism Research, 25(6), 1292–1305. https://doi.org/10.1002/jtr.2536
Hermawan, L. O. A., Rianse, U., Batin, W. R., Rianse, M. S., Ridwan, A., Sarman, S., & Suha, L. O. M. M. J. (2025). Strategic marketing in the development of the tourism economy: Meleura Beach. International Journal of Tourism & Hospitality in Asia Pacific, 8(1), 39–59. https://doi.org/10.32535/ijthap.v8i1.3802
Hidayat, I., & Rivai, R. (2020). Online reviews and their impact on consumers’ purchasing decision: A study of Indonesian e-commerce. International Journal of Business and Management, 15(2), 45–58.
Huang, Z., & Chen, Y. (2020). The role of digital platforms in decision-making in the tourism industry. Tourism Management Perspectives, 37, 100772.
Kumar, P. (2023). Value-added information in online reviews: A critical analysis. Journal of Digital Marketing, 12(1), 30–42.
Lee, J., Park, S., & Han, I. (2011). The effect of online consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 15(3), 123–148. https://doi.org/10.2753/JEC1086-4415150305
Lee, R. Y. (2023). The digital empire: Google. A study on Google’s user satisfaction level. Advances in Global Economics and Business Journal, 4(2), 27–41. https://doi.org/10.51748/agebj.v4i2.82
Lim, H. L., Lew, T. Y., Leow, L. R. D., Lee, Z. Y., Li, J., Li, Y., Sharma, G., & Kee, D. M. H. (2024). Trust in online shopping among Generation Z: An analysis of key influencing factors. International Journal of Accounting & Finance in Asia Pacific, 7(3), 410–427. https://doi.org/10.32535/ijafap.v7i3.3618
Lun, F. L., & Wan, L. L. (2010). The influence of online information quality on consumer decision making: Evidence from e-commerce. Journal of Marketing Research, 47(2), 135–144.
Lusian, N. M., & Harjanti, S. (2023). The impacts of brand credibility, brand prestige, and online customer reviews on purchasing interest. Journal of International Conference Proceedings, 6(6), 136–145. https://doi.org/10.32535/jicp.v6i6.2719
Nair, R. K., Ganatra, V., Sugumaran, H. A. P., Kee, D. M. H., Heng, S. W., Mei, H., Huang, C., & Doshi, V. (2022). How does social media platforms help to improve business performances during the COVID-19 pandemic? A study of TikTok. Journal of The Community Development in Asia, 5(1), 41–53. https://doi.org/10.32535/jcda.v5i1.1384
Peng, Y., Zhang, C., & Liu, Q. (2016). Online review quality, reviewer characteristics, and the impact on consumer’s decision-making: Evidence from the hotel industry. Tourism Management, 52, 19–27.
Petty, R. E., & Cacioppo, J. T. (2012). Communication and Persuasion: Central and Peripheral Routes to Attitude Change. Springer Science & Business Media.
Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and peripheral routes to advertising effectiveness: The moderating role of involvement. Journal of Consumer Research, 10(2), 135–146.
Prasetyaningtyas, S. W. S., & Rianse, U. (2023). Digital transformation in education: Implications for management and education. Asia Pacific Journal of Management and Education, 8(1), 1–14. https://doi.org/10.32535/apjme.v8i1.3801
Radiansyah, E., Mahrinasari, M. S., & Bangsawan, S. (2023). Examining the effect of information quality and quantity, source credibility on cognitive trust and its impact on intention to adopt information. International Journal of Advances in Social Sciences and Humanities, 2(3), 204–211. https://doi.org/10.56225/ijassh.v2i3.243
Rianse, U., & Sarman, S. (2024). The impact of digital reviews on consumer behavior. Journal of International Conference Proceedings, 7(1), 1–15. https://doi.org/10.32535/jicp.v7i1.2001
Shankar, V. (2020). The role of information in consumer decision making: A study of online product reviews. Journal of Marketing, 58(4), 60–75.
Soenarno, P., Wijaya, M., & Supriyadi, A. (2015). The effect of online review quality on decision making in the tourism industry. In Procedia - Social and Behavioral Sciences (Vol. 224, pp. 21–28). https://doi.org/10.1016/j.sbspro.2016.05.477
Song, B. L., Liew, C. Y., Sia, J. Y., & Gopal, K. (2021). Electronic word-of-mouth in travel social networking sites and young consumers’ purchase intentions: an extended information adoption model. Young Consumers, 22(4), 521–538. https://doi.org/10.1108/YC-03-2021-1288
Subekti, I. R., & Nugroho, A. (2023). Information adoption in online reviews: A comparative study. Journal of Business Research, 28(4), 120–130. https://doi.org/10.1016/j.jbusres.2022.07.017
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47–65. https://doi.org/10.1287/isre.14.1.47.14767
Vermeulen, I. E., & Seegers, D. (2009). Tried and tested: The impact of online hotel reviews on consumer consideration. Tourism Management, 30(1), 123–127. https://doi.org/10.1016/j.tourman.2008.04.008
Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5–33. https://doi.org/10.1080/07421222.1996.11518099
Wixom, B. H., & Todd, P. A. (2005). User acceptance and user satisfaction: Towards a theoretical integration. Information Systems Research, 16(1), 85–102.
Wu, X., Zhang, L., & Sun, M. (2021). Exploring the role of peripheral cues in online travel reviews: A dual-process perspective. Tourism Management Perspectives, 37, 100791.
Yoo, M., & Kim, J. (2014). The role of online reviews in the tourism industry: An empirical analysis of how online reviews influence the purchase decision of tourists. Tourism Management Perspectives, 10, 91–98. https://doi.org/10.1016/j.tmp.2014.03.001
Zhou, Z., & Lee, K. (2017). The impact of online review quality and reviewer’s reputation on tourism consumer decision-making. Tourism Management, 58, 19–29. https://doi.org/10.1016/j.tourman.2016.09.010
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