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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/145731
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/145731


    Title: 以創新擴散理論擴充模型探討對RPA新科技的採用決策
    The Research of RPA New Technologies Adoption Based on the Theory of Innovation Diffusion Expanded Model
    Authors: 樓大峰
    Lou, Ta-Feng
    Contributors: 洪為璽
    鄭宇庭

    Hung, Wei-Hsi
    Cheng, Yu-Ting

    樓大峰
    Lou, Ta-Feng
    Keywords: 創新擴散理論
    金融科技
    RPA流程機器人
    流程機器人
    人工智慧
    Innovation Diffusion Theory
    Fintech
    RPA
    Robotic Process Automation
    Artificial Intelligence
    Date: 2023
    Issue Date: 2023-07-06 16:19:06 (UTC+8)
    Abstract: 本研究主要以「創新擴散理論(Innovation Diffusion Theory)」理論為基礎,探討企業對Fintech中自動化工具相關的流程機器人RPA(Robotic Process Automation)採用的決策分析。以有台灣企業為研究樣本進行調查分析進行實證研究。
    近年以來,對科技業與金融業最夯的英文字就是Fintech, Fintech 其實就是金融科技Financial Technology的簡稱,其範圍包含人工智慧(AI,Artificial Intelligence)、流程機器人(RPA, Robotic Process Automation)、電子支付、區塊鏈(Blockchain)、機器人投資理財顧問、P2P(Peer to peer)貸款…等業務,這些過去一直由金融業佔據的市場大餅,隨著時代與科技的進步,許多新創金融科技公司也趁機利用各種創新科技,想要加入戰局來競爭分食這塊金融服務大餅,針對此種新科技趨勢,希望透過資管的相關著名理論 – 「創新擴散理論」來分析其中Fintech自動化工具相關的RPA流程機器人的採用決策。
    一般學界對於新科技的採用決策理論通常會以「科技接受模式」或「創新擴散理論」來進行分析研究,但是考量目前創新擴散理論的因素定義比較模糊,實務上決策應考量到更精準的因素,因此本研究希望擴充創新擴散理論,希望用擴充更精準的要素,能讓本案研究分析模型能更貼近於實務應用,故本案研究以創新擴散通用模型,再擴充更多更精準的要素,發展出一個「創新擴散通用模型的新擴充模型」。本文期望研究結果對於各企業導入RPA流程機器人此種創新科技時的評估決策能有極大助益。
    This study is mainly based on the "Innovation Diffusion Theory" theory, and discusses the decision-making analysis of companies` adoption of RPA (Robotic Process Automation), a process robot related to automation tools in Fintech. Taking Taiwanese enterprises as research samples to conduct investigation and analysis for empirical research.
    Since the beginning of these year, Fintech has become the most popular English word for the technology and financial industries. Fintech is actually the abbreviation of Financial Technology. Its scope includes AI (Artificial Intelligence), RPA( Robotic Process Automation), Electronic Payment, Blockchain, Robot Advisor, P2P (Peer to peer) loans... etc., these market pies have been occupied by the financial industry in the past. With the advancement of the times and technology, many new financial technology company also took advantage of various innovative technologies and wanted to join the battle to compete for a piece of the financial service pie. In response to this new technological trend, it hopes to use the famous theories related to asset management – "Innovation Diffusion Theory" to analyze the adoption decision of RPA process robots related to Fintech automation tools.
    In general, the academic circles usually analyze and study the decision-making theory of new technology adoption based on the "technology acceptance model" or "innovation diffusion theory". However, the definition of factors considering the current innovation diffusion theory is relatively vague. In practice, decision-making should take into account more precise factors. , so this study hopes to expand the theory of innovation diffusion, hoping to expand the more precise elements, so that the analysis model of this case study can be closer to the practical application, so this case study uses the general model of innovation diffusion, and then expands more and more precise elements to develop A "New Diffusion Model of the Universal Model of Innovation Diffusion". This paper expects that the research results will be of great help to the evaluation and decision-making of various enterprises when introducing RPA process robots, an innovative technology.
    Reference: 一、 中文文獻
    1. 王文科、王智弘 (2010) 。質的研究的信度和效度,彰化師大教育學報,(17), 29-50。
    2. 吳啟誠, & 張瓊云. (2019)。主題分析在教育研究上的應用。特殊教育發展期刊,(69),29-42。
    3. 吳錫民(1996),台灣地區加入WTO 後,台灣菸酒公司流通事業部因應策略探討-以資源基礎、網絡關係與資源依賴理論整合觀點,國立中山大學,台灣。
    4. 林本炫. (2007). 不同質性研究方法的資料分析比較. 質性研究方法的眾聲喧嘩 ,127-150,嘉義: 南華大學教育社會學研究所。
    5. 林鉦棽、彭台光(2006),多層次管理研究:分析層次的概念、理論和方法,管理學報,台灣。
    6. 金融監督管理委員會(2016),金融科技發展策略白皮書,台灣:金融監督管理委員會。
    7. 俞慧芸譯注(2007)。組織的外部控制—資源依賴觀點。台北:聯經出版社。
    8. 袁方編(2002)。社會研究方法。臺北:五南圖書出版股份有限公司。
    9. 張中一(2016),金融科技發展簡介與芻議,工業技術研究院,台灣。
    10. 梁定澎(2012)。資訊管理理論。台灣:前程文化事業有限公司。
    11. 莊尚平(2000),資源基礎理論下持久競爭優勢之整合性架構初探, 國立台灣科技大學工業管理系,台北。
    12. 郭文彬(2001),公賣局啤酒資源條件競爭優勢個案分析─資源基礎理論之應用,國立交通大學經營管理研究所,台灣。
    13. 陳啟光、陳玉真、于長禧、蔡政和(2006),政府機關之間為民服務創新作為擴散過程之探討。品質學報,13(3),329-343。
    14. 黃光玉、劉念夏、陳清文譯(2004)。媒介與傳播研究方法:質化與量化途徑。台北:風雲論壇。
    15. 黃美娟、黃蘭鍈 (2008)。以交易成本理論及資源依賴理論探討合資企業的信賴威脅與報酬之關係,2008台灣科技大學管理新思維學術研討會,台灣科技大學,台灣科技大學企業管理學系,台北。
    16. 雷亞珍,(2009),從資源依賴理論之成本控制觀點探討企業資訊服務創新採用雲端運算 [軟體即服務 (SaaS)] 之研究-以新竹科學園區廠商為例,國立交通大學管理學院,台灣。
    17. 廖珮妏、余鑑、于俊傑(2012),應用整合型科技接受模式與創新擴散通用模型於企業導入數位學習之多層次分析,電子商務學報,台灣。
    18. 維基百科(2016),金融科技,維基百科,台灣。
    19. 簡春安、鄒平儀(2004)。社會工作研究法(2004年修訂版)。台北:巨流圖書股份有限公司。

    二、 英文文獻
    1. Aguirre, S., & Rodriguez, A. (2017, September), Automation of a business process using robotic process automation (RPA): A case study, Workshop on Engineering Applications, 65-71.
    2. Alberth, M. and Mattern, M. (2017), Understanding robotic process automation (RPA), The CAPCO Institute Journal of Financial Transformation, November, Automation 46, 1-8, available at: www.capco.com/-/media/CapcoMedia/Capco-Institute/Journal-46/JOURNAL46_full_web.ashx#page=104
    3. Allweyer T (2016), Robotic Process Automation – Neue Perspektiven für die Prozessautomatisierung. Working Paper Fachbereich Informatik und Mikrosystemtechnik Hochschule Kaiserslautern. https://www.kurze-prozesse.de/blog/wp-content/uploads/2016/11/Neue-Perspektiven-durch- Robotic-Process-Automation.pdf
    4. Anagnoste, S. (2017), Robotic automation process – the next major revolution in terms of back-office operations improvement, Proceedings of the International Conference on Business Excellence, Bucharest, 11, available at: https://doi.org/10.1515/picbe-2017-0072
    5. Anagnoste, S. (2018), Setting up a robotic process automation center of excellence, Management Dynamics in the Knowledge Economy, 6(2), 307-322.
    6. Appliedai.com (2017), Robotic process automation comprehensive guide. https://blog.aimultiple. com/rpa-whitepaper/. Accessed 17. Nov. 2018
    7. Appliedai.com (2018), Guide to cognitive automation, RPA’s future (2018 update). https://blog.aimultiple.com/cognitive-automation/
    8. Appliedai.com (2019), RPA tools. https://blog.aimultiple.com/rpa-tools/#types. Accessed: 17. Febr.2019
    9. Asatiani, A. and Penttinen, E. (2016), Turning robotic process automation into commercial success – case OpusCapita, Journal of Information Technology Teaching Cases, 6(2), 67-74.
    10. Barberis, J. (2014), The rise of Fintech : Getting HongKong to lead the digital financial transition in APAC, Fintech Report, FintechHK.
    11. Barringer, B. R. and Harrison, J. S. (2000), Walking a tightrope: Creating value through interorganizational relationships, Journal of Management, 26(3), 367.
    12. Biros, D.P., George, J.F., and Zmud, R.W. (2002), Inducing sensitivity to deception in order to improve decision making performance: A field study, MIS Quarterly, 26(2), 119-144.
    13. Blau, J. R., & McKinley, W. (1979). Ideas, complexity, and innovation. Administrative Science Quarterly, 24(2), 200-219.
    14. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
    15. Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, exercise and Health, 11(4), 589-597.
    16. Clarke, V., & Braun, V. (2013), Teaching thematic analysis: Overcoming challenges and developing strategies for effective learning. The Psychologist, 26(2), 120-123.
    17. Chandler S, Power C, Fulton M, van Nueten N (2017), Who minds the bots? Why organisations need to consider risks related to Robotic Process Automation.
    18. Chau, P.Y.K. and Hu, P.J.H. (2002), Information technology acceptance by individual professional: A model comparison approach, Decision Sciences, 32(4), 699-719.
    19. Chwelos, P., Benbasat, I., and Dexter, A.S. (2001), Research report: Empirical test of an EDI adoption model, Information Systems Research, 12(3), 304-321.
    20. Com-Magazine (2019), AI in robotic process automation. https://www.com-magazin.de/praxis/business-it/ki-in-robotic-process-automation-rpa-1666853.html?page 2_vorteile-durch-bots.
    21. Cooper, D.R. and Schindler, P.S. (2006), Business Research Methods. 9th Edition, McGraw-Hill, USA.
    22. Creswell, J. (2002), Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Upper Saddle River, NJ: Merrill Prentice Hall.
    23. Damanpour, F. (1991), Organizational innovation: A meta-analysis of effects of determinants and moderators, Academy of Management Journal, 34(3), 555-590.
    24. Ettlie, J. E., Bridges, W. P., & O`keefe, R. D. (1984), Organization strategy and structural differences for radical versus incremental innovation. Management science, 30(6), 682-695.
    25. Ettlie, J.E. (1990), What makes a manufacturing firm innovative? Academy of Management Executive. 4,4, 7-20,
    26. Gadre, A., Jessel, B., & Gulati, K. (2017). Rethinking robotics? Take a step back. Journal of Financial Transformation, 46, 34-45.
    27. Gartner Glossary: Robotic Process Automation (RPA), Retrieved May 9 2022 from: https://www.gartner.com/en/information-technology/glossary/robotic-process-automation-rpa
    28. Grant, R.M.(1991), The Resource-Based Theory of Competitive Advantage: Implication for Strategy Formulation, California Review, 33(3), spring, 114-135.
    29. Grover, V. (1993), An empirically derived model for the adoption of customer‐based interorganizational systems. Decision sciences, 24(3), 603-640.
    30. Grover, V. and Goslar, M.D. (1993), The initiation, adoption, and implementation of telecommunications technologies in U.S., Journal of Management Information Systems, 10(1), 141-163.
    31. Hallikainen, P., Bekkhus, R. and Pan, S.L. (2018), How Opuscapita used internal RPA capabilities to offer services to clients, MIS Quarterly Executive, 17(1), 41-52
    32. Herriott, R. E., & Firestone, W. A. (1983), Multisite qualitative policy research:
    33. Holak, Susan L. (1998), Determinants of Innovative Durables Adoption an Empirical Study with Implications for Early Product Screening, Journal of Product Innovation Management, 5(1), 50–69.
    34. Iacovou, C.L., Benbasat, I., & Dexter, A. (1995), Electronic data interchange and small organizations: Adoption and impact of technology. MIS Quarterly, 19(4), 465–485.
    35. Javed, A., Sundrani, A., Malik, N., & Prescott, S. M. (2021), Robotic Process Automation Using UiPath StudioX. Apress.
    36. Joo, Y.B. and Kim, Y.G. (2004), Determinants of corporate adoption of e-marketplace: An innovation theory perspective, Journal of Purchasing and Supply Management,10(2), 89-101.
    37. Keen, P. G. (1988), Competing in Time; Using Telecommunications for Competitive Advantage. Harper Business.
    38. Khramov, D. (2018), Robotic and machine learning: how to help support to process customer tickets more effectively, bachelor’s thesis, Metropolia University of Applied Sciences, Helsinki.
    39. Kimberly, J.R. and Evanisko, M.J. (1981), Organizational innovation: The influence of individual, organizational, and contextual factors on hospital adoption of technological and administrative innovations, Academy of Management Journal, 24(4), 689-713.
    40. Kirchmer M (2017), Robotic process automation – pragmatic solution or dangerous illusion? bpm-d.com/bpm-d-exhibiting-at-btoes-2/
    41. Kwon, T. H., & Zmud, R. W. (1987), Unifying the fragmented models of information systems implementation. In Critical issues in information systems research (pp. 227-251).
    42. Kuan, K.K.Y. and Chau, P.Y.K. (2001), A perception based model for EDI adoption in small businesses using a technology organization environment framework, Information and Management, 38(8), 507-521.
    43. Lacity M, Willcocks L (2016), Robotic Process Automation at Telefónica O2. MIS Q Exec 15(1), 21–35
    44. Lacity, M. and Willcocks, L. (2015), Robotic Process Automation: The Next Transformation Lever for Shared services, The Outsourcing Unit Working Research Paper Series, London.
    45. Lawrence, P. R., & Lorsch, J. W. (1967), Organization and environment: Managing integration and differentiation. Irwin, Homewood, IL.
    46. Le Clair C (2017), The Forrester wave: robotic process automation: the 12 providers that matter most and how they stack up. Forrester, Cambridge
    47. Leopold, H., Aa, H. V. D., & Reijers, H. A. (2018), Identifying candidate tasks for robotic process automation in textual process descriptions. In Enterprise, Business-Process and Information Systems Modeling, 67-81. Springer, Cham.
    48. Herriott, R. E., & Firestone, W. A. (1983), Multisite qualitative policy research: Optimizing description and generalizability. Educational Researcher, 12(2), 14-19.
    49. Miller, W. L., & Crabtree, B. F. (1992), Primary care research: A multimethod typology and qualitative road map. In B. F. Crabtree & W. L. Miller (Eds.), Doing Qualitative Research, 3–28. Sage Publications, Inc.
    50. McGinnis, M. A., & Ackelsberg, M. R. (1983), Effective innovation management: missing link in strategic planning? Journal of Business Strategy.
    51. Neidleman, L.D. (1979), Computer usage by small and medium sized Etiropean firms: an empirical study. Information & Management, 2, 2, 61-11.
    52. Ostrowicz S (2018), Next generation process automation: integrated process automation in the age of digitalization. Report on the results of the 2018 study by Horváth & Partners, Frankfurt a. M.
    53. Otto S, Longo M (2017), ISG study: Robotic Process Automation (RPA) ensures greater productivity and not job losses. https://www.isg-one.com/docs/default-source/default-document-library/isg-automation-index-de_final_form.pdf?sfvrsn 15defe31_0.
    54. Pfeffer, J. and Salancik, G. R. (1978), The External Control of Organization: A Resource Dependence Perspective, N.Y., Harper and Row.
    55. Pfeffer, Jeffrey, and Phillip Nowak.(1976), Joint ventures and interorganizational interdependence. Administrative Science Quarterly, 21(3), 398-418.
    56. PricewaterhouseCoopers, London Kerremans M (2018), Gartner market guide for process mining. Report G00353970. Gartner
    57. Raymond, L. and Blili, S. (1997). Adopting EDI in a network enterprise: The case of subcontracting SNEs, European Journal of Purchasing and Supply Management, 3(3), 165-175.
    58. Ramamurthy, K. and Premkumar, G. (1995). Determinants and outcomes of electronic data interchange diffusion, IEEE Transactions on Engineering Management, 42(4), 332-351.
    59. Roger, E.M. (1983), The Diffusion of Innovation, New York: Free Press.
    60. Rogers, E.M. (1995), Diffusion of innovations (4th ed.), New York: Free Press.
    61. Rogers, E. M. (1995), Diffusion of innovations: Free Press.
    62. Sambharya, R. B. and Banerji, K. (2006), The Effect of Keiretsu Affiliation and Resource Dependencies on Supplier Firm Performance in the Japanese Automobile Industry, Management International Review, 46(1), 7.
    63. Schaffry A (2009) BPM reduces process costs by 20 percent https://www.cio.de/a/bpm-reduziert- prozesskosten-um-20-prozent,877610
    64. Shrivastava, P., and Souder, W. E. (1987), The strategic management of technological innovations: A review and a model. Journal of Management Studies, 24(1), 25-41.
    65. Slaby, J.R. (2012), Robotic automation emerges as a threat to traditional low-cost outsourcing, available at: www.horsesforsources.com/wp-content/uploads/2016/06/RS-1210_Robotic- automation-emerges-as-a-threat-060516.pdf (accessed August 4, 2018).
    66. Suri, V.K., Elia, M. and Hillegersberg, J. van (2017), Software bots – the next frontier for shared services and functional excellence, Global Sourcing of Digital Services: Micro and Macro Perspectives, Presented at the International Workshop on Global Sourcing of Information Technology and Business Processes, Springer, Cham, 81-94.
    67. Taulli, Tom (2020), The robotic process automation handbook. The Robotic Process Automation Handbook. https://doi. org/10.1007/978-1-4842-5729-6.
    68. ter Hofstede AHM, van der Aalst WMP, Adams M, Russell N (2010), Modern business process automation: YAWL and its support environment. Springer, Heidelberg
    69. Thong, J.Y.L. (1999), An integrated model of information systems adoption in small business, Journal of Management Information Systems, 15(4), 187-214.
    70. Tornatzky, L.G. and Fleischer, M. (1990), The Processes of Technological Innovation, MA : Lexington Books.
    71. Tornatzky, L. G., & Klein, K. J. (1982), Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on engineering management, (1), 28-45.
    72. Tornbohm, C. (2017), Gartner market guide for robotic process automation software. Report G00319864. Gartner
    73. Tran, D. and Ho Tran Minh, T. (2018), Workflow methodology development of RPA solution for a Vietnamese bank: a case study of Korkia Oy, bachelor’s thesis, Laurea University of Applied Sciences, Vantaa, available at: www.theseus.fi/handle/10024/148869
    74. Tucci, L. (2015), KPMG: death of BPO at the hands of RPA. https://searchcio.techtarget.com/blog/ TotalCIO/KPMG-Death-of-BPO-at-the-hands-of-RPA
    75. Utterback, J. M. (1974), Innovation in industry and the diffusion of technology. Science, 183(4125), 620-626.
    76. van der Aalst WMP (2016), Process mining: data science in action. Springer, Heidelberg
    77. van der Aalst WMP, van Hee KM (2002), Workflow management: models, methods, and systems. MIT Press, Cambridge
    78. van der Aalst WMP, Bichler M, and Heinzl A (2018), Robotic process automation. Bus Inf Syst Eng, 60(4), 269–272. https://doi.org/10.1007/s12599-018-0542-4
    79. Wathne, K.H. and Heide, J.B.(2000), Opportunism in interfirm relationships: forms, outcomes and solutions, Journal of Marketing, 64(4), 36-51.
    80. Watson, J. and Wright, D. (2017), The robots are ready. Are you? https://www2.deloitte.com/content/dam/Deloitte/tr/Documents/technology/deloitte-robots-are-ready.pdf
    81. Willcocks, L. and Lacity, M. (2016), Service automation. Robots and the future of work. Steve Brooks Publishing, Warwickshire
    82. Willcocks, L., Lacity, M., and Craig, A. (2017), Robotic process automation: strategic transformation lever for global business services? J Inf Technol Teach Cases 7:17–28
    83. Williams, C. (2007), Research methods. Journal of Business & Economics Research (JBER), 5(3), 65-72.
    84. Wu, C. (2004), A readiness model for adopting Web services. Journal of Enterprise Information Management, 17(5), 363–371.
    85. Yin, R. K. (2009), Case Study Research: Design and Methods (4th ed.). Thousand Oaks, CA: Sage.
    86. Zaltman, G., Duncan, R. and Holbek, J. (1973), Innovations and Organizations, Wiley, New York, NY.
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