Panudju, Giovanni Alexander (2023) A study on the intentions of early users of metaverse as learning platforms using the technology acceptance model : as seen from in the evidence form Pt. Markplus Institute. Graduate thesis, Sekolah Tinggi Manajemen IPMI.
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Abstract
In the new global economy, Metaverse has become a central issue for technology companies to transform their way of conducting professional learning and development. Metaverse is an immersive, three dimensional, virtual, and multiuser environment online platform, allowing people to interact socially and economically, regardless of their location with a large of people. However, there is limited research being conducted in this area promising the future of web 3.0, metaverse. This study aims to scrutinizes a proposed research model for factors influencing behavioral intention to use metaverse as a learning platform for early users at Markplus Institute, Indonesia. The studies used a quantitative approach and developed a research model based on an extension of the technology acceptance model. The model adds the source of credibility as an independent variable and facilitating condition as a moderating variable. A survey was conducted to obtain data from 85 training participants for testing the hypothesis. SEM-PLS, a multivariate statistical analysis technique, was used to analyze responses to examine models, factors, and structural relationship and test hypotheses. The results show the source of credibility positively and significantly influences the perceived ease of use. Moreover, perceived ease of use and facilitating condition will impact behavioral intention using metaverse as a learning platform. The mediation analysis results show that perceived ease of use has mediating effects between the source of credibility and behavioral intention. The results have significant empirical implications for educational institutions looking to implement the metaverse as a new platform for learning.
Item Type: | Thesis (Graduate) |
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Subjects: | H Social Sciences > H Social Sciences (General) |
Divisions: | Thesis > Master of Business Administration |
Depositing User: | Dede Faujiah |
Date Deposited: | 28 Mar 2023 04:22 |
Last Modified: | 28 Mar 2023 04:22 |
URI: | http://repository.ipmi.ac.id/id/eprint/1860 |
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