Heliyon (Aug 2024)
Understanding the acceptance of online tourism programs: Perspectives of generic learning outcomes and theory of planned behavior
Abstract
The integration of information technology, particularly the Internet, with the tourism industry has laid a solid foundation for the widespread popularity of online tourism. Online tourism offers numerous advantages such as being unconstrained by time, space, and region, having low costs, and providing strong interactive features, making it increasingly popular worldwide. Nevertheless, not all individuals are willing to adopt online tourism, and the factors and mechanisms that influence online tourism require further investigation. This study aims to examine the factors that influence the intention to adopt online tourism by integrating the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and the Generic Learning Outcomes (GLOs). Using the Yunyou Dunhuang Online Program (云游敦煌), the current study invited tourists to participate in the online tourism experience, and collected 536 pieces of data. The results of structural equation modeling reveal that: (1) attitude toward using and perceived usefulness positively predict behavioral intention to use; (2) perceived ease of use, perceived usefulness, and subjective norm significantly and positively predict attitude toward using; (3) perceived ease of use significantly and positively predicted perceived usefulness, while knowledge and understanding, activity, behavior, and progression had no significant effect on perceived usefulness; (4) knowledge and understanding positively predicted perceived ease of use, while activity, behavior, and progression had no significant effect on perceived ease of use. This study explores the factors influencing online tourism adoption intention in a comprehensive way. The findings hold practical significance for the design of online tourism programs for intangible cultural heritage, providing theoretical guidance for cultural heritage and development.
