The Influence of Perceived Metaverse Technology Components on Perceived Usability among Digital Natives: A Case Study of the Takhian Tia Verse Platform
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Abstract
The changing role of technology in tourism has motivated this study to examine the levels of perceived Metaverse technology components and perceived usability among digital native tourists using the Takian Tia Verse platform, as well as to investigate the influence of perceived Metaverse technology components on perceived usability. The sample comprised 353 digital native tourists who had experienced the Takian Tia Verse platform at least once. Data was collected through a questionnaire and analyzed using descriptive statistics, including means and standard deviations, together with inferential statistics using structural equation modeling (SEM).
The findings indicated that digital native tourists reported a high level of perceived Metaverse technology components, with the user-defined dimension exhibiting the highest mean score ( M = 3.90). In terms of perceived usability, the consistency of symbols throughout the system achieved the highest mean score ( M = 4.03). The data satisfied the assumptions of normality and were appropriate for model development. The structural equation model demonstrated an acceptable level of fit with the empirical data (Chi-square = 1,449.405, df = 610, χ²/df = 2.45, CFI = 0.928, TLI = 0.921, RMSEA = 0.063, RMR = 0.037). Furthermore, perceived Metaverse technology components were found to have a significant positive direct effect on perceived usability among digital native tourists (β = 0.770, p < 0.001), accounting for 59.3% of the variance in perceived usability. The results suggest that the development of digital tourism platforms should place greater emphasis on the design and communication of Metaverse technology characteristics in ways that enhance users’ perceptions, as these perceptions play a critical role in shaping usability evaluation and technology acceptance in community-based digital tourism contexts.
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