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研究生: 雲光榮
Kritsapas Kanjanamekanant
論文名稱: 協同機器人流程自動化: 機器人流程自動化利用率對持續使用與工作倦怠的貢獻
Co-working with Robotic Process Automation: How RPA utilization contributes to continuance and burnout
指導教授: 朱宇倩
Yu-Qian Zhu
口試委員: 謝俊霖
Choon-Ling Sia
許書瑋
Shu-Wei Hsu
柯冠州
Kuan-Chou Ko
邱議德
Yi-te Chiu
學位類別: 博士
Doctor
系所名稱: 管理學院 - 資訊管理系
Department of Information Management
論文出版年: 2022
畢業學年度: 110
語文別: 英文
論文頁數: 123
中文關鍵詞: 機器人流程自動化RPA人工智慧AI倦怠持續使用
外文關鍵詞: Robotic Process Automation, RPA, artificial intelligence, AI, burnout, continuance intention
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  • Robotic Process Automation (RPA) is a novel technology that drastically improves the efficiency and accuracy of work by using software robots to perform tasks, with or without human interactions, without tiredness and fatigue but delivers 100% accuracy. RPA is a software robot that uses a user-predefined algorithm to process work inputs and produces desired work outputs, and does not require prior IT knowledge. Unlike most other IT software, it also has the function to imitate human interactions with the computer i.e., working in the foreground resembling a human user, thus provides a good backward compatibility with the organization’s existing or legacy IT infrastructure.

    This study is the first to investigate how RPA implementation changes the evaluations of its users, by conducting an online survey to the RPA users that are working in various industries in Thailand. Based on the reasoning of motivation and job demand-job resource balance, the proposed research model identifies the positive side (job autonomy, RPA performance) and negative side (intensified learning demand, intensified planning and decision-making demand, and work intensification) of RPA implementation, and their consequences - burnout and RPA continuance intention. Further, the current study distinguishes the usage of RPA into RPA usage breadth and RPA usage depth, to explore the mechanisms of how RPA utilization affect the users in more detail. The results indicated an interesting finding that the degree of RPA usage breadth and RPA usage depth have different impact on the cognitions of the RPA users. Several moderators are discussed, and the model explains about 67% of continuance intention and 28% of burnout variances, accordingly. A suggestion on how to report the results from a PLS-SEM is also discussed.

    Last, of theoretical implications, managerial implications, and avenues for future research are discussed in the final section of this research. RPA is a new and unresearched aspect of IS, but it has the potential to overturn the way we previously work due to its limitless potentials. The findings from this research signify the need for further investigation of this avant-garde technology.


    Robotic Process Automation (RPA) is a novel technology that drastically improves the efficiency and accuracy of work by using software robots to perform tasks, with or without human interactions, without tiredness and fatigue but delivers 100% accuracy. RPA is a software robot that uses a user-predefined algorithm to process work inputs and produces desired work outputs, and does not require prior IT knowledge. Unlike most other IT software, it also has the function to imitate human interactions with the computer i.e., working in the foreground resembling a human user, thus provides a good backward compatibility with the organization’s existing or legacy IT infrastructure.

    This study is the first to investigate how RPA implementation changes the evaluations of its users, by conducting an online survey to the RPA users that are working in various industries in Thailand. Based on the reasoning of motivation and job demand-job resource balance, the proposed research model identifies the positive side (job autonomy, RPA performance) and negative side (intensified learning demand, intensified planning and decision-making demand, and work intensification) of RPA implementation, and their consequences - burnout and RPA continuance intention. Further, the current study distinguishes the usage of RPA into RPA usage breadth and RPA usage depth, to explore the mechanisms of how RPA utilization affect the users in more detail. The results indicated an interesting finding that the degree of RPA usage breadth and RPA usage depth have different impact on the cognitions of the RPA users. Several moderators are discussed, and the model explains about 67% of continuance intention and 28% of burnout variances, accordingly. A suggestion on how to report the results from a PLS-SEM is also discussed.

    Last, of theoretical implications, managerial implications, and avenues for future research are discussed in the final section of this research. RPA is a new and unresearched aspect of IS, but it has the potential to overturn the way we previously work due to its limitless potentials. The findings from this research signify the need for further investigation of this avant-garde technology.

    Chapter 1 – Introduction 1 1.1 Research context 1 1.2 Co-working with artificial intelligence 5 1.3 Research motivation and objective 8 1.4 Related literature 11 1.5 Outline 12 Chapter 2 – Literature Review 13 2.1 Co-working with technologies 13 2.2 Extant empirical research on RPA 18 2.3 Theories used in explaining IS usage and IS impact to individuals 20 2.4 How a new change at the organization affects an individual 24 Chapter 3 – Theoretical Framework and Hypothesis 26 3.1 Proposed framework 27 3.2 Hypothesis development 31 Chapter 4 – Research Methodology 44 4.1 Procedures and participants 44 4.2 Measurement items 46 4.3 Modelling technique 47 Chapter 5 – Results and Data Analysis 50 5.1 Model analysis 50 5.2 Common method variance 53 5.3 Structural model assessment 53 5.4 Moderation analysis 56 5.5 Post-hoc analysis 59 5.5.1 Descriptive comparisons 59 5.5.2 Other possible moderators 60 5.5.3 Comparing PLS-SEM results with multiple linear regression results 63 5.5.4 Mediated moderation of the model 64 Chapter 6 – Conclusions and Recommendations 66 6.1 Theoretical implications 68 6.2 Managerial implications 71 6.3 Limitation and future research 74 Appendix A – Measurement items 78 Appendix B – Bibliographical database list 81 Reference 82

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