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研究生: 王國綸
Kuo-Lun Wang
論文名稱: 以科技接受模式探討AI技術產品於寵物健康偵測的接受因素
Behavior Intention to Adoption of Pet Health Detection Products with AI Enabled Functions in Technology Acceptance Model
指導教授: 曾盛恕
Sheng-Shu Tseng
林舜天
Shun-Tian Lin
口試委員: 袁建中
Jian-Jung Yuan
林舜天
Shun-Tian Lin
曾盛恕
Sheng-Shu Tseng
學位類別: 碩士
Master
系所名稱: 工程學院 - 高階科技研發碩士學位學程
Executive Master of Research and Development
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 64
中文關鍵詞: 科技接受模式(TAM)人工智慧AI產品便利性價值性
外文關鍵詞: Technology Acceptance Model (TAM), Artificial Intelligence AI, Product Convenience, Value
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最近幾年國內外總是發表許多關於人工智慧AI之應用場景及技術的發展,因此已加速的影響各個產業,近年從中美貿易戰開打至今,好不容易全球經濟整體開始穩定之下,卻又在2020年初爆發全球性的Covid-19影響下,導致各項經濟發展受到嚴重的衝擊,但在寵物市場的環境卻是呈現成長的趨勢,也由於全世界的企業紛紛改為在家工作的工作型態,其他如學校的教育則改為遠距教學,人們需要長時間的待在家中生活、工作、學習,因而造就了寵物市場成為在這波疫情影響下的受惠者,然而在寵物產業內,寵物健康及寵物醫療更是目前市場上需求的重點,因此如何運用AI技術去偵測寵物的健康狀況更是一項目前寵物發展產業上的課題之一。
本次研究方向主要是透過科技接受模式(TAM)的架構為研究主體,並增加了兩項外部構面變數為產品便利性以及價值性為本研究假說去探討使用AI技術產品做為寵物的健康偵測接受因素及意願,透過問卷調查方式總共蒐集到283份有效問卷進行分析可能的接受影響因素。而問卷調查對象主要是針對國內有飼養寵物家貓的民眾,並使用Smart PLS 的方法去作為研究架構模型的驗證。最終依據問卷調查的結果顯示出,在傳統科技接受模式(TAM)中的兩項基本構面都同時都對使用AI技術產品做為寵物家貓的健康偵測的使用態度上也呈現顯著的影響,進而也間接正向的影響到行為意向;而另外增加的兩項外部變數構面產品便利性及價值性則也同時對各個構面有正向並顯著的影響結果。
總結來說,飼主對於使用AI技術產品做為寵物家貓的健康偵測的使用態度是正向並顯著的進而影響飼主接受的行為意向結果,其中影響其行為意向的接受因素共有五項包括有(1)知覺易用性、(2)知覺有用性、(3)產品便利性、(4)價值性及(5)使用態度。本研究結果將建議未來寵物市場需導入AI技術產品於寵物健康偵測時,在產品行銷上可特別強化產品便利性與價值性兩項關鍵因素做為產品銷售時的重點及賣點,藉以增加飼主對於使用AI技術產品做為寵物健康偵測的成效並提高客戶對採用此產品的接受度。


In recent years, there have been many announcements at home and abroad about the application scenarios of artificial intelligence AI and the accelerated technological development affecting various industries. In recent years, since the Sino-US trade war started, the global economy has finally stabilized, but it broke out in early 2020. Under the influence of the global Covid-19, various economic developments have been severely impacted, but the environment of the pet market is showing a growth trend, and because companies all over the world have changed to work at home, other things such as School education is changed to remote teaching. People need to stay at home for a long time to live, work, and study. This has created the pet market to be the beneficiaries of this epidemic. However, in the pet industry, pet health and pet medical treatment is the focus of current market demand. Therefore, how to use AI technology to detect the health of pets is one of the current issues in the pet development industry.
This research direction is mainly to apply the technology acceptability model (TAM) structure as the research subject, and add two external dimensions for product convenience and value-based research hypothesis to explore the use of AI technology products as pet domestic cats A total of 283 valid questionnaires were collected through questionnaire surveys to analyze possible acceptance factors and willingness of health detection. The subject of the questionnaire survey is mainly for domestic people who have pet domestic cats, and the Smart PLS method is used as the verification of the research framework model. According to the results of the questionnaire survey, the two basic aspects of the traditional technology acceptance model (TAM) both have a significant impact on the attitude of using AI technology products as the health detection of pets and domestic cats. , And in turn also indirectly and positively affect behavioral intentions; and the two additional external variables facet product convenience and value also have a positive and significant impact on each facet.
In summary, the owner’s attitude towards the use of AI technology products as the health detection of pet domestic cats is positive and significant, which affects the results of behavioral intentions accepted by the owners. There are five acceptance factors that affect their behavioral intentions, including (1) Perceived ease of use, (2) Perceived usefulness, (3) Product convenience, (4) Value and (5) Use attitude. The results of this study will suggest that the future pet market needs to introduce AI technology products for pet health detection, and the convenience and value of the products can be particularly strengthened as the focus and selling point of product sales, so as to increase the use of AI technology products by the owners. For the effectiveness of pet health detection and improve customer acceptance of the product.

中文摘要 I ABSTRACT III 致謝 V 目錄 VI 圖目錄 VIII 表目錄 IX 1. 緒論 1 1.1. 論文研究背景 1 1.2. 論文研究動機與目的 2 1.3. 論文研究流程 2 2. 文獻探討 4 2.1. 寵物產業的市場現況 4 2.2. 寵物貓常見10大致死疾病原因 7 2.3. 人工智慧之意涵 10 2.4. AI技術產品作為寵物家貓的健康偵測實例 12 2.5. 科技接受模式(Technology Acceptance Model) 14 2.6. 便利性理論 16 2.7. 價值性理論 18 3. 研究設計與方法 19 3.1. 研究架構與假說 19 3.2. 問卷內容設計 21 3.3. 抽樣設計方式 23 3.4. 統計分析方法 24 4. 研究分析與結果 27 4.1. 樣本特性說明與資料分析結果 27 4.2. 敘述性統計 29 4.3. 信度及效度分析 31 4.4. 區別效度分析 33 4.5. 結構模式分析 34 5. 結論與建議 38 5.1. 結論 38 5.2. 學術貢獻 40 5.3. 管理意涵 41 5.4. 研究限制 43 5.5. 未來研究方向與建議 43 參考文獻 45 附錄 48

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