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  1. Home
  2. College of Health Care and Management/健康管理學院
  3. In-service Master Program of International Health Industry Management of College of Health Care and Management
  4. 探討民眾對健康智能家電之接受度
 
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探討民眾對健康智能家電之接受度

Date Issued
2024
Author(s)
古婕瑄
KU,JIE-SYUAN
Advisor
李宜昌
URI
https://handle.ncl.edu.tw/11296/6g2g5w
https://scholars.csmu.edu.tw/handle/123456789/6422
Abstract
本研究旨在探討民眾對健康智能家電之接受度。隨著科技的不斷進步和生活品質的日益提升,智能家電逐漸成為現代家庭的一部分。健康智能家電結合了健康管理和AI技術,為使用者提供便利的同時,也能提升其健康狀況,故了解民眾對此類產品的接受度對於其發展具有重要意義。研究具體目標包括分析人口特徵、績效預期、付出預期、社會影響、享樂動機、健康意識、生活滿意度與接受度之間的關聯性。研究於2024年5月進行線上問卷調查,共收集到189份有效樣本,並使用SPSS 25.0進行數據分析,採用獨立樣本t檢定、ANOVA分析、信效度分析、結構方程模型、拔靴法(Bootstrapping)進行研究假設的驗證。研究結果指出,績效期望、社會影響、享樂動機、健康意識及生活滿意度與健康智能家電的接受度之間具有顯著正相關,而付出預期則呈現負相關。性別、年齡等人口學特徵也會顯著影響研究構念。
This study aims to explore the public's acceptance of healthy smart home appliances. With the continuous advancement of technology and the improvement of life quality, smart home appliances have gradually become a part of modern households. Healthy smart home appliances combine health management and AI technology to provide users with convenience while also improving their health. Therefore, understanding the public's acceptance of such products is crucial for their development. The specific objectives of this study include analyzing the correlations between demographic characteristics, performance expectations, effort expectations, social influence, hedonic motivation, health awareness, life satisfaction, and acceptance. An online questionnaire survey was conducted in May 2024, collecting a total of 189 valid responses. Data analysis was performed using SPSS 25.0, including independent sample t-tests, ANOVA, reliability and validity analysis, SEM, and bootstrapping to verify the research hypotheses. The research results indicate that there is a significant positive correlation between performance expectations, social influence, hedonic motivation, health awareness, life satisfaction, and the acceptance of healthy smart home appliances, while effort expectations show a negative correlation. Demographic characteristics such as gender and age also significantly influence the research constructs.
Subjects
健康智能家電產品
健康智能家電服務
smart home appliances
smart home services
Type
thesis
File(s)
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Name

112CSMU074F015-001.pdf

Size

1.65 MB

Format

Adobe PDF

Checksum

(MD5):b9a7d0905e2796a78a84af9cd500c569

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