Determinants of Acceptance intention of public safety services using Internet of Things

Internet of Things;Pubic safety;Technology acceptance model;Structural equation model;658

공과대학 협동과정 기술경영·경제·정책전공 ;

University:서울대학교 대학원

关键词: Internet of Things;    Pubic safety;    Technology acceptance model;    Structural equation model;    658;   

Others  :  http://s-space.snu.ac.kr/bitstream/10371/122577/1/000000025742.pdf

美国|英语

来源: Seoul National University Open Repository

【 摘 要 】

Public safety is receiving social attention since the series of recent terrible events like 911-terror in U.S., tsunami in Japan, and sinking of Sewol-ferry in Korea. These accidents have aroused people’s desire to be safe and intention to adopt customized services for safety. Indeed most of crucial accidents or crimes are started from trivial errors, so if we are able to sense the signals involved in specific errors, unsafe environment could be controlled. However, there is no service to perfectly protect users from all events that damage human life or properties due to the technological and political limitations. Internet of things (henceforth IoT) is an emerging technology which makes possible to communicate among the all things like machines and appliances. Since IoT has the appropriate characteristics to collect the signals and analyze them, we suggest that IoT would overcome the technical limitation, converging IoT and public safety service. There is no previous study considering IoT and public safety service simultaneously and finding the factors determine the acceptance intention. Most of studies related to ubiquitous technologies are just proposing concept, trend, and prospect or engineering achievements, and also, most of the public safety studies have only political or administrative viewpoints. Therefore, this study aims to find the factors that determine the acceptance intention to the public safety services using IoT. This study collected data by survey of three hundred people who are potential users of public security with IoT. We used structural equation model which is based on technology acceptance model 2 (TAM2) and modified some latent variables. Utility, economic value and service safety are latent variables considered as service attributes, and perceive usefulness, perceived ease of use, perceived risk and experience are used to explain technology acceptance process. The result shows that economic value influence the strongest effect to acceptance intention and utility is slightly higher than the service safety. Experience intensified the effect of perceived risk and attenuated perceived ease of use, but there is no changes of perceived usefulness and acceptance intention. Perceived risk doesn’t violate the model fitness and make research model to more elaborate.