臺灣博碩士論文加值系統

隨著人工智慧技術的快速發展，ChatGPT作為一種新興的人工智慧技術引起了廣泛關注，但在過去的研究中鮮少以使用者對ChatGPT的使用意圖進行研究。因此本研究旨在探討使用者對於ChatGPT的使用意圖及其影響因素，本研究引入了Davis（1989）的科技接受模式（TAM）作為理論基礎，探討認知有用性、認知易用性、資訊品質、系統品質等變數對使用者的使用態度及使用意圖的影響。

本研究以網路問卷方式發放267份，有效回收216份，有效回收率為81%。使用SPSS 20統計軟體對回收的資料進行敘述性分析及量表描述性分析，並透過Pearson相關分析、簡單迴歸與多元迴歸分析等統計方法進行討論。研究結果顯示資訊品質與系統品質會正向影響ChatGPT的認知有用性及認知易用性。其次，認知易用性會正向影響ChatGPT的認知有用性及使用態度。再者，認知有用性也會正向影響ChatGPT的使用態度及使用意圖。最後，使用態度還會正向影響ChatGPT的使用意圖。

With the rapid development of artificial intelligence technology, ChatGPT has attracted widespread attention as an emerging artificial intelligence technology. However, little research has been done on intentions to use ChatGPT in past studies. Therefore, this study aims to explore intentions to use ChatGPT and its influencing factors. This study introduces Davis’s (1989) Technology Acceptance Model (TAM) as the theoretical basis to explore the impact of variables such as perceived usefulness, perceived ease of use, information quality, and system quality on users’ attitudes and use intenion.

This study utilized an online questionnaire to collect data, with a total of 267 questionnaires distributed and 216 valid responses received, and resulted in an effective response rate of 81%. Several analyses were conducted using SPSS 20 software, including descriptive analysis of demographic characteristics and scale measurements, as well as statistical methods such as Pearson correlation analysis, simple regression analysis, and multiple regression analysis. The research findings revealed that information quality and system quality positively influenced the perceived usefulness and perceived ease of use of ChatGPT. Moreover, perceived ease of use had a positive impact on perceived usefulness and attitude towards ChatGPT, while perceived usefulness positively affected attitude and intention to use ChatGPT. Lastly, attitude towards ChatGPT positively influenced intention to use.

摘要............i
Abstract............ii
誌謝............iii
目錄............iv
表目錄............vii
圖目錄............ix
第一章 緒論............1
1.1 研究背景與動機............1
1.2 研究目的............1
1.3 研究問題與研究限制............2
1.3.1研究問題............2
1.3.2研究限制............2
1.4 研究流程............3
第二章 文獻探討............4
2.1 ChatGPT............4
2.1.1 ChatGPT的作用............4
2.1.2 ChatGPT在不同領域的應用............6
2.2 科技接受模式............8
2.2.1 認知有用性............8
2.2.2 認知易用性............8
2.2.3 使用態度............9
2.2.4 行為意向............9
2.2.5 外部變數............9
2.3 資訊系統成功模式............10
2.3.1 系統品質............10
2.3.2 資訊品質............10
2.3.3 使用............11
2.3.4 用戶滿意度............11
2.3.5 個人影響............11
2.3.6 組織影響............11
第三章 研究方法............12
3.1 研究架構及假設............12
3.2 研究工具及對象............13
3.3 問卷設計............13
3.4 預試分析............15
3.4.1 信度分析............15
3.4.2 效度分析............15
3.4.3 項目分析的題項刪除............16
3.4.4 題項刪除後的信效度分析............18
第四章 研究結果與討論............20
4.1 敘述性統計分析............20
4.2 各量表之描述性統計分析............21
4.3 皮爾遜相關分析............25
4.3.1 IQ與PU間的相關性............25
4.3.2 IQ與EOU的相關性............25
4.3.3 SQ與PU的相關性............26
4.3.4 SQ與EOU的相關性............26
4.3.5 EOU與PU的相關性............26
4.3.6 PU與AT的相關性............27
4.3.7 EOU與AT的相關性............27
4.3.8 PU與UI間的相關性............28
4.3.9 AT與UI的相關性............28
4.4 簡單線性迴歸分析............29
4.4.1 IQ對PU之關聯性探討............29
4.4.2 IQ對EOU之關聯性探討............29
4.4.3 SQ對PU之關聯性探討............30
4.4.4 SQ對EOU之關聯性探討............30
4.4.5 EOU對PU之關聯性探討............31
4.4.6 PU對AT之關聯性探討............31
4.4.7 EOU對AT之關聯性探討............32
4.4.8 PU對UI之關聯性探討............32
4.4.9 AT對UI之關聯性探討............32
4.5 多元線性迴歸分析............34
4.5.1 SQ與IQ對PU之關聯............34
4.5.2 EOU與IQ對PU之關聯............34
4.5.3 SQ與EOU對PU之關聯............35
4.5.4 PU與EOU對AT之關聯............35
4.5.5 AT與PU對UI之關聯............36
第五章 結論與建議............37
5.1 研究結論............37
5.2 未來改進方向............38
5.3 建議............39
參考文獻............41
附錄一............46
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