The Causal Factors of Virtual Museum Quality in Terms of User Experience That Influence the Acceptance of Technology to Promote Cultural Heritage Tourism in Bueng Khun Thale Community, Surat Thani Province
DOI:
https://doi.org/10.14456/jiskku.2025.20Keywords:
Causal factors, Virtual Museum, User experience, Technology Acceptance, Cultural HeritageAbstract
Purpose: To investigate the causal factors of virtual museum quality in terms of user experience that influence the acceptance of virtual museum technology to promote cultural heritage tourism in the Bueng Khun Thale community, Surat Thani Province.
Methodology: This study employed a mixed-methods research approach. The quantitative phase comprised 370 individuals, whereas the qualitative phase had 15 people. The research tools included an interview guide for assessing virtual museum needs, a virtual museum quality questionnaire, and a technological acceptability questionnaire. Data were analyzed using mean, percentage, and structural equation modeling with latent variables using AMOS software.
Findings: 1) The acceptance of Bueng Khun Thale virtual museum technology was at a high level with a mean of 4.46. 2) The model demonstrated good fit with the empirical data. 3) Virtual museum quality in terms of user experience had a direct influence on technology acceptance, with the model explaining 96 percent of the variance in technology acceptance, which is considered very high.
Applications of this study: The research findings can be used as guidelines for developing and designing the Bueng Khun Thale community virtual museum to be user-responsive, enhance cultural heritage tourism potential, and serve as a model for applying virtual museum technology at the local level in Thailand.
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References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Al-Gahtani, S. S. (2016). Empirical investigation of e-learning acceptance and assimilation: A structural equation model. Applied Computing and Informatics, 12(1), 27–50. https://doi.org/10.1016/j.aci.2014.09.001
Best, J. W. (1989). Research in education. Prentice Hall.
Bunjai, S. (2012). Development and validation of research instruments: Psychometric properties. [Doctoral dissertation, Chulalongkorn University].
Cameron, F., & Kenderdine, S. (Eds.). (2007). Theorizing digital cultural heritage: A critical discourse. MIT Press.
Choo, C. W. (2002). Information management for the intelligent organization: The art of scanning the environment (3rd ed.). Information Today.
Chowdhury, G. (2014). Digital curation: Scope and prospects. International Journal of Information Management, 34(5), 592–603. https://doi.org/10.1016/j.ijinfomgt.2014.05.003
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Department of Health Service Support. (2025). Population report of Khun Thale Subdistrict. https://3doctor.hss.moph.go.th
Department of Health Service Support. (2025). Population report of Makham Tia Subdistrict. https://3doctor.hss.moph.go.th
Department of Health Service Support. (2025). Population report of Pradu Subdistrict. https://3doctor.hss.moph.go.th
Economou, M. (2015). Heritage in the digital age: Museums and virtual reality. Routledge.
Giaccardi, E. (Ed.). (2012). Heritage and social media: Understanding heritage in a participatory culture. Routledge.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Huvila, I. (2016). Awkwardness of becoming a boundary object: Mangle and materialities of reports, documentation data and the archaeological work. The Information Society, 32(4), 280–297. https://doi.org/10.1080/01972243.2016.1177763
Kanjanawasee, S. (2001). Statistics for educational research (5th ed.). Chulalongkorn University.
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). Guilford Press.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.
Laudon, K. C., & Laudon, J. P. (2020). Management information systems: Managing the digital firm (16th ed.). Pearson.
Liu, Y. (2020). Virtual museums: An effective tool for cultural heritage preservation and education. Journal of Cultural Heritage Management and Sustainable Development, 10(3), 215–230. https://doi.org/10.1108/JCHMSD-01-2020-0012
Sirikhanth, I. (2024). Development of the Phu Phan Museum’s information management system [Master’s thesis, Sakon Nakhon Rajabhat University].
Styliani, S., Fotis, L., Kostas, K., & Petros, P. (2009). Virtual museums: A survey and some issues for consideration. Journal of Cultural Heritage, 10(4), 520–528. https://doi.org/10.1016/j.culher.2009.03.003
Tammarakkul, J. (2022). The study on sustainable tourism: The use of information technology for Thailand 4.0: A case study of using augmented reality technology for Sgt. Maj. Thawee Folk Museum, Phitsanulok Province [Master’s thesis, Naresuan University].
Tidkongrach, S., Kamchoo, K., & Suvarnaraksha, A. (2023). Diversity of fish species at Khun Thale swamp, Surat Thani province. Journal of Fisheries Technology, 16(1), 44–55.
United Nations Educational, Scientific and Cultural Organization. (2003). Convention for the safeguarding of the intangible cultural heritage. https://ich.unesco.org/en/convention
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

