Reframing Domestic Tourism Performance in Malaysia: The Dominance of Perceptual Drivers over Structural Determinants in Contemporary Tourism Landscape
Authors
Fakulti Pengurusan Hotel dan Pelancongan, Universiti Teknologi MARA, Cawangan Pulau Pinang, Kampus Permatang Pauh, 13500 Permatang Pauh, Pulau Pinang (Malaysia)
Fakulti Pengurusan Hotel dan Pelancongan, Universiti Teknologi MARA, Cawangan Pulau Pinang, Kampus Permatang Pauh, 13500 Permatang Pauh, Pulau Pinang (Malaysia)
Fakulti Pengurusan Hotel dan Pelancongan, Universiti Teknologi MARA, Cawangan Pulau Pinang, Kampus Permatang Pauh, 13500 Permatang Pauh, Pulau Pinang (Malaysia)
Fakulti Pengurusan Hotel dan Pelancongan, Universiti Teknologi MARA, Cawangan Pulau Pinang, Kampus Permatang Pauh, 13500 Permatang Pauh, Pulau Pinang (Malaysia)
Fairuz Abd Hakim., Raja Iskandar Putera Raja Mustapha
Fakulti Pengurusan Hotel dan Pelancongan, Universiti Teknologi MARA, Cawangan Pulau Pinang, Kampus Permatang Pauh, 13500 Permatang Pauh, Pulau Pinang (Malaysia)
Fakulti Pengurusan Hotel dan Pelancongan, Universiti Teknologi MARA, Cawangan Pulau Pinang, Kampus Permatang Pauh, 13500 Permatang Pauh, Pulau Pinang (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2026.100600651
Subject Category: Hospitality and Tourism
Volume/Issue: 10/6 | Page No: 9327-9343
Publication Timeline
Submitted: 2026-06-08
Accepted: 2026-06-13
Published: 2026-07-01
Abstract
Domestic tourism has evolved into a key component for sustaining economic resilience in Malaysia, particularly during and following the COVID-19 disruption. Although current research has primarily focused on structural variables including infrastructure, accessibility, and governmental backing, there has been insufficient consideration of the impact of perceptual drivers on tourism performance. This study seeks to investigate the relationship between structural factors (destination accessibility, tourist infrastructure, and government support) and perceptual elements (marketing and promotion, and safety measures) in affecting domestic tourism performance in Malaysia. A quantitative cross-sectional research design was utilized, collecting data from 167 domestic travellers at designated urban tourism destinations. The data were analyzed utilizing descriptive statistics, Pearson correlation, and multiple regression analysis to assess both bivariate connections and the relative explanatory strength of the predictors. The results reveal that while all variables show positive correlations with domestic tourism performance, only marketing and promotion, as well as safety standards, display statistically significant impacts when evaluated concurrently. Conversely, structural drivers including infrastructure, accessibility, and government support exhibit no substantial independent effect within the multivariate model. These findings suggest a significant transformation in tourism dynamics, where performance is more closely linked to perceptual and demand-driven factors than to mere structural conditions. The study enhances tourism literature by offering a comprehensive viewpoint that emphasizes the increasing significance of tourist perception, confidence, and participation in shaping tourism performance in the contemporary landscape.
Keywords
Domestic Tourism Performance, Accessibility, Marketing and Promotional, Infrastructure, Government Support, Safety Protocol
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References
1. Agovino, M., Casaccia, M., Garofalo, A., & Marchesano, K. (2023). Government policies and incentives for sustainable tourism development. Sustainability, 15(2), 567. https://doi.org/10.3390/su15020567 [Google Scholar] [Crossref]
2. Bilińska, K., Pabian, B., Pabian, A., & Reformat, B. (2023). Development trends and potential in the field of virtual tourism after the COVID-19 pandemic: Generation Z example. Sustainability, 15(3), 1889. https://doi.org/10.3390/su15031889 [Google Scholar] [Crossref]
3. Chan, W. C., Lo, M. C., Ibrahim, W. H. W., Mohamad, A. A., & Thong, J. Z. (2023). Identifying motivators of ecotourism destination competitiveness. Enlightening Tourism, 13(1), 48–85. https://doi.org/10.33776/et.v13i1.7286 [Google Scholar] [Crossref]
4. Chong, K. M., & Tan, T. H. (2022). Staycation: A domestic wellness tourism among Malaysian and Singaporean tourists. Environment-Behaviour Proceedings Journal. https://doi.org/10.21834/ebpj.v7i22.4156 [Google Scholar] [Crossref]
5. Cooksey, R. (2020). Descriptive statistics for summarising data. In Illustrating statistical procedures (pp. 61–139). Springer. https://doi.org/10.1007/978-981-15-2537-7_5 [Google Scholar] [Crossref]
6. Department of Statistics Malaysia (DOSM). (2023). Tourism Satellite Account Malaysia 2023. Putrajaya: DOSM. [Google Scholar] [Crossref]
7. Department of Statistics Malaysia (DOSM). (2024). Domestic Tourism Survey Malaysia 2024. Putrajaya: DOSM. [Google Scholar] [Crossref]
8. Deraman, N. A., Buja, A. G., Samah, K. A., Musa, M. Z., & Abdullah, N. (2021). Social media mining on tourism in Malaysia during COVID-19. IOP Conference Series: Earth and Environmental Science, 704. https://doi.org/10.1088/1755-1315/704/1/012020 [Google Scholar] [Crossref]
9. Dong, Y. (2023). Descriptive statistics and its applications. Highlights in Science, Engineering and Technology. https://doi.org/10.54097/hset.v47i.8159 [Google Scholar] [Crossref]
10. Dragičević, D. (2024). A bibliometric examination of domestic tourism literature. Tourism and Hospitality Industry, 139–149. https://doi.org/10.20867/thi.27.23 [Google Scholar] [Crossref]
11. Fitria, R., Nugroho, A., & Suryani, T. (2022). Safety protocols and tourist confidence. Journal of Hospitality and Tourism Management, 51, 10–20. https://doi.org/10.1016/j.jhtm.2022.02.001 [Google Scholar] [Crossref]
12. Gong, R., & Mohd Ghazali, A. N. (2023). Connecting the last mile: Rural accessibility in Malaysia. Khazanah Research Institute. [Google Scholar] [Crossref]
13. Hamid, N. A., Rahman, M. K., & Aziz, N. A. (2023). Post-pandemic tourism recovery strategies in Malaysia. Tourism Review. [Google Scholar] [Crossref]
14. Harbison, L., & Simmons, K. (2024). Fundamentals of descriptive statistics. Journal of Dental Hygiene, 98(5), 51–54. [Google Scholar] [Crossref]
15. Li, Z., Huo, M., Huo, T., & Luo, H. (2023). Digital tourism research: A bibliometric review. Tourism Review. https://doi.org/10.1108/TR-03-2023-0176 [Google Scholar] [Crossref]
16. Loureiro, I., Costa, V., & Malheiro, A. (2024). Sustainable tourism: A systematic review. European Journal of Tourism Research. https://doi.org/10.2478/ejthr-2024-0009 [Google Scholar] [Crossref]
17. Putri, R. D., & Taufik, T. (2024). Tourism infrastructure and competitiveness. International Journal of Tourism Policy, 10(1), 15–30. [Google Scholar] [Crossref]
18. Rucci, A. C., & Porto, N. (2022). Accessibility in tourist sites. European Journal of Tourism Research, 31, 3108. https://doi.org/10.54055/ejtr.v31i.2165 [Google Scholar] [Crossref]
19. World Tourism Organization (UNWTO). (2023). Tourism recovery tracker. https://www.unwto.org [Google Scholar] [Crossref]
20. Yusof, M. F., Ahmad, R., & Rahman, S. A. (2021). Domestic tourism and economic resilience in Malaysia. Journal of Tourism Studies.epartment of Statistics Malaysia (DOSM). (2023). Tourism Satellite Account Malaysia 2023. Putrajaya: DOSM. [Google Scholar] [Crossref]
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