Summary: | 碩士 === 國立臺中科技大學 === 企業管理系碩士班 === 107 === ABSTRACT
In recent years, artificial intelligence (AI) and the internet of things (IoT) have increased the possibilities of smart buildings. However, nowadays, the innovative service experience and knowledge in smart buildings from Taiwanese consumers are still limited to large-scale public construction or luxury buildings, and for the development and understanding of smart buildings, they are mostly limited to home appliances. In other words, most consumers can''t really understand the essence of smart service in smart buildings, which leads to Taiwan''s actual local demand for smart buildings, and it still needs continuous market research and profile exploration.
This study explored the factors of acceptance attitude about smart buildings influencing the intension of consumers in Taichung metropolitan. Based on technology acceptance model (TAM), this research also discussed the relations between following six aspects of “Perceived Ease of Use”, “Perceived Usefulness”, “Service convenience”, “Innovation Resistance”, “Usage Attitude” and “Usage Intension”. For this study, we collected 255 valid samples from network questionnaire during 2019.06.29~2019.07.02. The questionnaires were analyzed by using SPSS12.0 to descriptive statistics reliability and validity analysis and through the Amos5 for verification of model analysis and path analysis and hypothesis testing.
After the questionnaires and data analysis, summarize five conclusions:
(1) “Service convenience” has a significant positive impact on “Perceived Ease of Use”.
(2) “Service convenience” has a significant positive impact on “Perceived Usefulness”.
(3) “Perceived Ease of Use” has a significant positive impact on “Usage Attitude”.
(4) “Perceived Usefulness” has a significant positive impact on “Usage Attitude”.
(5) “Usage Attitude” has a significant positive impact on “Usage Intension”.
Finally, this study proposes recommendations and future research directions for reference by builders as a smart home service and smart buildings.
Keyword:Smart building、Smart home service、Technology acceptance model、
purchase intention
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