
doi: 10.54097/8j2eaz04
As the rapid development of the Internet of Things and smart campus construction, the higher education environment is undergoing profound changes. The willingness of students to adopt smart campuses is not only determined by technical performance but also influenced by factors such as cognitive and user experience. Based on the Technology Acceptance Model and Innovation Diffusion Theory, the study constructed a research model with perceived usefulness (PU), perceived ease of use (PEU), and compatibility (CMP) as independent variables and behavioral intention (BI) as the dependent variable. A questionnaire survey was conducted among college students in Nantong City, Jiangsu Province, and a total of 753 valid samples were collected. Structural equation model was used to analyze the data. The results show that PU, PEU, and CMP all have a significant positive impact on BI.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
