Examining the Factors Affecting the Adoption of IoT Platform Services Based on Flipped Learning Model in Higher Education

The current status of the 4th industrial revolution has offered some sophisticated technological tools for higher education institutions. One of these technologies is distance learning based on Internet of Things tools and cloud computing, that make the student the main pillar of learning, through engaging in Flipped Learning Model (FLM). For successful IT integration in higher education, designing a distance-learning training platform is vital. Although research has identified the factors that can directly determine the behavioral intention to use technology, little is known about the effects of these factors on the successful design of a distance-training platform. Therefore, this study examines the effects of these factors in determining the successful design and use of IoT-applications through distance learning platform based on FLM for higher education within the context of Oman technological colleges. This would be implemented by developing a conceptual framework in scope of the Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), and literature review. Data will be collected from employees at these colleges, and analyzed using partial least squares - structural equation modeling (PLS-SEM), in addition to the Importance-Performance Map Analysis (IPMA).