A Study on the Intention to Use Home Network Services

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초록

This study focuses on the factors influencing the integration of home network services in smart architecture, enabling the comprehensive management and control of internet-connected home appliances, lighting, heating, security, and more. Smart architecture provides enhanced energy efficiency, convenience, and safety due to its ability to control various aspects of the household through technological advancements. Researching the impact of home network services on smart architecture could significantly contribute to the advancement of future architectural technology and the improvement of human life quality. Home networks refer to the network within a household that enables remote control functionalities, allowing individuals to operate appliances from the living room, check who is at the door from another room, and even observe, control, and schedule home devices from outside the house. This study constructs an integrated research model for analyzing the factors influencing the adoption of home network services, applying the TAM_IS Model, an extended model based on the Technology Acceptance Model (TAM_IS Model). The research model includes home security, home automation, and home healthcare as independent variables, using utility, ease of use, and satisfaction as mediators, leading to the dependent variable, usage intention. The findings illustrate the impact of independent variables on utility and satisfaction, the influence of ease of use on satisfaction, and how utility and ease of use affect usage intention. For future studies, more research should continue to explore home network services from the perspective of their convergence with Fourth Industrial Revolution technologies and home network service information systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

키워드

Home network services; IS success model; TAM
제목
A Study on the Intention to Use Home Network Services
저자
An, Seong-Byeong; Gim, Gwang-Yong; Sung, Yoon-Je; Lee, Sae-Yeon
DOI
10.1007/978-3-031-53385-3_14
발행일
2024-03
유형
Book chapter
저널명
Studies in Computational Intelligence
권
1139
페이지
169 ~ 181