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研究生: 許怡晴
Yi-Ching Hsu
論文名稱: 以個人與企業角度探討整合ChatGPT與RPA服務
A combination of ChatGPT and RPA: A framework of individual and enterprise perspective
指導教授: 張智傑
Chih-Chieh Chang
口試委員: 盧明滄
張智傑
何建韋
學位類別: 碩士
Master
系所名稱: 管理學院 - 管理學院MBA
School of Management International (MBA)
論文出版年: 2023
畢業學年度: 112
語文別: 英文
論文頁數: 49
外文關鍵詞: Artificial intelligence, ChatGPT, Robotic Process Automation, Trust, Attitude, UTAUT, TOE, Intention to Use
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  • In this proceeding AI-tools developing century. More people and enterprises are trying to adopt AI-based integrated services to make their work or life more efficient and cost-saving.
    This thesis aimed to assess the factors influencing the adoption of AI-based services that integrated RPA (Robotic Process Automation) and Chat Generative Pre-trained Transformer (ChatGPT) in the pre-use phase. We assumed this kind of application called Bot Sync in this thesis. This thesis evaluates factors influencing users to adopt Bot Sync from an individual and organizational perspective. The research model integrated the technology-organization-environment (TOE) and the theory of acceptance and use of technology (UTAUT) frameworks.
    The result demonstrated that attitude significantly influences the intention to use Bot Sync. Meanwhile, the attitude was significantly influenced by Performance Expectancy, Effort Expectancy, Social Influence, Facilitating conditions, and Technology Context. The results provide theoretical suggestions for future research and direction for AI tool developers.

    Abstract III Acknowledgment IV 1. Introduction 1 1.1 Research Background 1 1.2 Purpose of this Thesis 5 1.3 Thesis Structure 5 2. Literature Review 7 2.1 ChatGPT 7 2.2 RPA 8 2.3 UTAUT Framework 9 2.4 TOE Framework 11 2.5 Trust 12 2.6 Attitude 13 2.7 Intention to use 13 3. Research Model and Hypothesis 14 3.1 T-UTAUT to Attitude 15 3.2 TOE Context to Attitude 17 3.3 Attitude on Intention to Use 18 4. Research Methodology 19 4.1 Data Collection 19 4.2 Descriptive Statistical Analysis of Samples 21 4.3 Data Analysis 23 4.3.1 Measurement Reliability 25 4.3.2 Convergent Validity 25 4.3.3 Discriminant Validity 26 4.4 Measurement Structural Model 27 4.4.1 Multicollinearity Testing 28 4.4.2 Measurement Structure Model Fit 28 4.4.3 Hypothesis Testing 29 4.4.4 Measurement Explainability 30 4.4.5 Measurement Predictive Relevance 31 5. Discussion 32 5.1 Theoretical Implications 36 5.2 Practical Implications 37 5.3 Limitations and Suggestions for Future Research 38 5.4 Conclusion 39 References 41

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