At the end of 2019, individuals' outdoor activities were restricted due to the emergence of COVID-19. As a result of this phenomenon, interest in online activities and interaction in the metaverse environment has increased. Online games have exploded in popularity with the young generation in Metaverse where they can earn money through the platforms. Thus, it is desirable to investigate emerging technology and analyse how to invest using techniques, such as sentiment analysis and machine learning (ML), to predict crypto trends. This study analysed time series data for crypto price and text, where information like news, articles, and feedback from social media can use the input to generate the sentiment score to understand the crypto trends. FinBERT is a sentiment model that was used for this study to generate the result. The AI investing framework is built to incorporate both sentiment analysis technique and predictive model for this chapter, to address the research questions and enable one to make more informed decisions.
The study aims to identify factors affecting university students' intention to adopt the metaverse due to the 4th industrial revolution and the COVID-19 pandemic in China, based on the integration of C-TAM-TPB model and IDT theory. A questionnaire survey was conducted on university students for data collection, as the metaverse is expected to be actively used or developed by them in future. A sample of 441 valid data was analysed by T-test and SEM-ANN analysis. Results show that subjective norm, attitude, compatibility, perceived usefulness, and relative advantages significantly affect Chinese university students' metaverse adoption intention, except for perceived behavioural control. Subjective norm holds the highest influence, while compatibility ranks the lowest. Perceived risk negatively moderates the relationship between relative advantage and adoption intention. There is no significant difference exists in different gender groups and experience groups for Chinese university students' metaverse adoption intention.
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