Apply TAM to Mobile Management System in Safety Construction- A Study of Buildings Engineering

• Main Authors: YANG, DENG-JIE, 楊登傑
• Other Authors: HE, CHUN-LING
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/9jwuhb

碩士 === 高苑科技大學 === 資訊科技應用研究所 === 103 === Base on Web 2.0 and cloud services era, it is a trend to develop a digital, interactive and immersive multimedia mode of education for the enterprise. Especially in recent years, mobile systems technology applied in education and engineering area. Such as 3D virtual safety education and training system, it focus on construction safety mobile management, and via LBS objects and modules designed to build APP environment in construction safety management within the cloud service system. Due to Cloud service has been active and more and more completed, the cloud application and service system surround our life. Therefore, the acceptance of users has become an important study issue. The subject of this study is safety training applied on construction site and will conduct e-learning system into safety courses. For the common subject of construction occupational disaster, it will discuss the courses pattern of interaction between human and computer system and then understand currently acceptance of labors and full implementation of feasibility in the future. Therefore, the research is based on Technical Acceptance Mode1(TAM) and Perceived Ease of Use and Perceived Usefulness will be the intermediate variables as well as add 4 outer variables which are system quality, self-efficacy, computer anxiety and user background, and via proving process to study the effected factories of behavior intentions. The results of structural equation models are as follows: (1) high correlation between “system quality and self-efficacy” and “perceived ease of use and perceived usefulness”; (2) a direct effect of Negative relationship between “computer anxiety” and “perceived usefulness; (3) direct positive relationship through “perceived ease of use and perceived usefulness” to “system satisfaction”. The proposed SEM-based relationship framework can statistically improve validity and provide the reliability in future research.