English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109952/140887 (78%)
Visitors : 46298344      Online Users : 1335
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/125076


    Title: 臺灣消費者使用金融科技之創新抵制行為研究
    An exploration of consumer resistance towards FinTech products
    Authors: 吳宜軒
    Wu, Yi-Hsuan
    Contributors: 別蓮蒂
    Bei, Lien-Ti
    吳宜軒
    Wu, Yi-Hsuan
    Keywords: 金融科技
    消費者行為
    創新抵制行為
    紮根理論
    FinTech
    Consumer behavior
    Innovation resistance
    Grounded Theory
    Date: 2019
    Issue Date: 2019-08-07 17:14:56 (UTC+8)
    Abstract: 國內外學術界對於金融科技領域之消費者研究極為缺乏,本研究為了解消費者抗拒使用金融科技產品之行為與心理,引入創新抵制理論,秉持著以修補理論缺口為始,以解決產業問題為終的信念,透過範疇廣泛之初探性紮根研究,勾勒創新抵制行為類型與前因之構面,尋找消費者特性、金融科技產品特性與創新抵制行為發生之關聯,建立臺灣消費者使用金融科技之創新抵制行為研究架構。

    本研究首先回顧以往創新抵制理論於市場消費者研究之成果,建構完整之研究模型,接著參考金管會於2016年發布之《金融科技發展策略白皮書》,將研究範疇定於網路銀行、支付、保險、投資管理、虛擬貨幣與生物辨識此六大領域,採取質性研究法,針對35位來自臺灣北中南地區的消費者,分別進行長為2小時之深度訪談,接續以文獻建立之基礎分析架構,搭配由下而上之開放譯碼,分別勾勒出消費者特性、金融科技產品特性、創新抵制行為類型及創新抵制行為前因四大主體之範疇輪廓,在範疇間尋找關聯推導命題。

    本研究將主動創新抵制成因歸分為功能障礙、風險障礙及心理障礙三大構面,提出十項次子類,二十四項更次子類;將被動創新抵制成因歸分為抗拒改變及滿意現況兩大構面,提出四項次子類,八項更次子類;並提出十三項關聯命題,簡述發現如下:一、關於消費者特性與創新抵制行為的關聯,本研究發現,當消費者對創新科技接受度與信任度或對學習自主之意願越低時,就越容易在了解階段即拒絕了解新金融科技產品之特性,由抗拒改變或滿意現狀之個人內在態度傾向直接引發被動創新抵制行為;二、關於消費者特性與主動創新抵制成因的關聯,本研究發現,當消費者對創新科技與學習的態度越趨負向,就會對金融科技產品的缺失反應明確,而形成對應障礙,不願使用;消費者過去使用創新科技產品與接受傳統金融服務的經驗好壞,則強化其對金融科技產品部分特性的認同或否定,進而影響障礙形成的難易程度;消費者價值觀則會形成某些消費需求,而這些需求也將納入消費者判斷是否使用金融科技的考量權數;三、關於金融科技產品特性與主動創新抵制成因的關聯,本研究發現,與創新抵制行為相關之金融科技產品特性的重要構面有四,一為產品創新特性,如當產品相容性與可試性越低越容易誘發消費者之心理障礙,當產品相容性與可試性越高越容易誘發消費者之功能障礙,二為金融科技產品對應之傳統替代服務特性,如當消費者心中對應之傳統替代服務,服務多功性越高,新產品越可能因無法全面滿足與兼顧消費者之多元需求,而引發消費者之產品價值障礙,三為金融科技產品處理之金融服務本身特性,如當金融服務本身複雜性越高,消費者越容易產生對傳統專業服務的需求,因而形成產品價值障礙,四為其安全機制設計之特性,如安全機制越鬆散之金融科技產品類型,越容易引發消費者之資訊安全外洩風險障礙。

    本研究之貢獻為建立臺灣消費者使用金融科技之創新抵制行為架構,並勾勒完整之前因研究構面,提供後續行銷研究者進行相關產業研究設計與分析明確之參考架構及工具,以期對未來產業界與學術界對於創新抵制行為研究以及金融科技領域之消費者行為研究,起拋磚引玉之效。
    While more Fintech are being developed and applied in practice, there is few research exploring consumer behavior when knowing or using Fintech products. The study aims at investigating consumer resistance toward FinTech products. It applies the Grounded Theory thorough conducting in-depth interviews with 35 consumers across Taiwan. The data finally leads to 13 propositions which build up the conceptual framework to explain the relationship between consumer characteristics, FinTech product characteristics, the category of innovation resistance behavior and causes of resistance behavior.

    It found out consumer with little acceptance and trust toward innovation or low willingness toward active self-learning tend to refuse understanding FinTech products in the Knowledge Stage. Moreover, it supposes that the degree of negativity of consumer relative attitude is positive relative to the susceptibility of psychological barriers driven by defects of FinTech products; furthermore, the results of consumers’ experiences in using innovative products or traditional financial services could strengthen their recognition or denial toward product characteristics. Finally, four dimensions of products characteristics trigger barriers in the resistance process. That is, product innovative characteristics, traditional alternatives characteristics, financial service characteristics and security mechanism. Higher compatibility and trialability trigger psychological barriers; in addition, lower compatibility and trialability trigger functional barriers. Higher multi-functionality of traditional alternatives and complexity of financial services could make product value barriers easier to trigger by the deficiency of FinTech products. The deficiency of security mechanism could trigger information security risk barriers.

    In conclusion, consumers’ attitude, personality and experiences were discovered to be the origin of consumer resistance psychology when FinTech products characteristics were supposed to be the trigger for the final resistance behavior.
    Reference: 江炯圻(2014)。線上串流音樂服務之使用者抗拒意圖研究。國立中央大學企業管理系,未出版之碩士論文。
    林金定儀、嚴嘉楓儀、陳美花(2005)。質性研究方法:訪談模式與實施步驟分析。身心障礙研究季刊,3(2),122-136。
    金融監督管理委員會(2018 年 5 月 12 日)。金融科技發展策略白皮書【政府公開文件】。上網日期民108年3月1日。檢自:https://www.fsc.gov.tw/ch/home.jsp?id=517&parentpath=0,7,478
    胡幼慧(2006)。質性研究:理論、方法及本土女性研究實例。臺北:巨流圖書。
    張富任(2015)。以創新抵制理論探討消費者使用行動支付影響之研究。國立屏東大學行銷與流通管理學系,未出版之碩士論文。
    黃英記(2012)。以創新抵制的觀點探討金融交易下單通路移轉。國立臺北大學企業管理系,未出版之在職專班碩士論文。
    廖凡雅(2006)。手機使用者對於3G影音服務之創新抵制因素來源分析。國立臺灣科技大學企業管理系,未出版之碩士論文。
    EY(2018 年 03 月 30 日)。2018年全球銀行業展望【企業官方網站發布之調查報告】。2019年3月1日,檢自:
    https://www.ey.com/Publication/vwLUAssets/ey-global-banking-outlook-2018-tw/$File/ey-global-banking-outlook-2018-tw.pdf
    Google Trends(2019)。FinTech搜尋字詞熱度的趨勢變化【網路開放資料庫】。2019年6月8日,擷取自:https://trends.google.com.tw/trends/explore?date=2013-02-25%202019-02-25&geo=TW&q=FinTech
    KPMG(2017 年 10 月 18 日)。塑造未來 — KPMG全球FinTech調查報告【企業官方網站發布之調查報告】。2019年3月1日,檢自:https://home.kpmg/tw/zh/home/insights/2017/10/forging-the-future-with-FinTech-fs.html
    Brehm, J. W. (1966). A Theory of Psychological Reactance. Oxford, England: Academic Press.
    Blackwell, R. D., Engel, J. F., & Talarzyk, W. W. (1993). Contemporary Cases in Consumer Behavior. Dryden Press.
    CB Insights (2018, November 21 ). Where Top US Banks Are Betting on FinTech [online article]. Retrieved from https://www.cbinsights.com/research/FinTech-investments-top-us-banks/ on March 01, 2019.
    Festinger, L. (1957). A Theory of Cognitive Dissonance (Vol. 2). Stanford university press.
    Flick, U. (2007). The Sage Qualitative Research Kit. Designing Qualitative Research. Thousand Oaks, CA, : Sage Publications Ltd.
    Gustafsson, J. (2017). Single Case Studies vs. Multiple Case Studies: A Comparative Study. [online article]. Retrieved from http://www.diva-portal.org/smash/get/diva2:1064378/FULLTEXT01.pdf on March 01, 2019.
    Heidenreich, S. & Spieth, P. (2013). Why innovations fail — the case of passive and active innovation resistance. International Journal of Innovation Management, 17(5), 1–42.
    Heidenreich, S. & Kraemer, T. (2016). Innovations—doomed to fail? Investigating strategies to overcome passive innovation resistance. Journal of Product Innovation Management, 33(3), 277-297.
    Kleijnen, M., Lee, N., & Wetzels, M. (2009). An exploration of consumer resistance to innovation and its antecedents. Journal of economic psychology, 30(3), 344-357.
    KPMG & H2 Ventures (2017, November 14 ). 2017 FinTech 100 [online research report]. Retrieved from https://home.kpmg/content/dam/kpmg/qm/pdf/H2-FinTech-Innovators-2017.pdf on March, 01, 2019.
    KPMG & H2 Ventures (2018, October 23). 2018 FinTech 100 [online research report]. Retrieved from https://home.kpmg/tw/zh/home/insights/2018/11/ventures-kpmg-FinTech100-2018.html on March 01, 2019.
    Lunsford, D. A. & Burnett, M. S. (1992). Marketing product innovations to the elderly: understanding the barriers to adoption. Journal of Consumer Marketing, 9(4), 53-62.
    McKinsey & Company (2016, Feburary). Cutting through the Noise around Financial Technology [online article]. Retrieved from https://www.mckinsey.com/industries/financial-services/our-insights/cutting-through-the-noise-around-financial-technology on March 01, 2019.
    Moghaddam, A. (2006). Coding issues in grounded theory. Issues in Educational Research, 16(1), 52-66.
    Oreg, S. & Goldenberg, J. (2015). Resistance to Innovation: Its Sources and Manifestations. University of Chicago Press.
    Ram, S. (1987). A model of innovation resistance. NA-Advances in Consumer Research, 14, 208-212.
    Ram, S. (1989). Successful innovation using strategies to reduce consumer resistance: an empirical test. Journal of Product Innovation Management, 6(1), 20-34.
    Ram, S. & Sheth, J. N. (1989). Consumer resistance to innovations: the marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5-14.
    Reinders, M. J. (2010). Managing consumer resistance to innovations (No. 475). Rozenberg Publishers.
    Rogers, E. M. (1995). Diffusion of Innovations. New York: Free Press.
    Rogers, E.M. (2010) Diffusion of Innovations. Fourth Edition. Simon and Schuster. New York.
    Sheth, J. N. & Stellner, W. H. (1981). Psychology of Innovation Resistance: The Less Developed Concept (LDC) in Diffusion Research. Urbana: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign.
    Strauss, A. & Corbin, J. (1994). Grounded theory methodology. Handbook of Qualitative Research, 17, 273-85.
    Talke, K. & Heidenreich, S. (2014). How to overcome pro-change bias: incorporating passive and active innovation resistance in innovation decision models. Journal of Product Innovation Management, 31(5), 894-907.
    Tansuhaj, P., Gentry, J. W., John, J., Lee Manzer, L., & Jin Cho, B. (1991). A cross-national examination of innovation resistance. International Marketing Review, 8(3), 7-22.
    Taylor, S. & Todd, P. (1995). decomposition and crossover effects in the theory of planned behavior: a study of consumer adoption intentions. International Journal of Research in Marketing, 12(2), 137-155.
    The World Bank (2018, November 21). The Global Findex Database [online datatbase]. Retrieved from https://globalfindex.worldbank.org/ on March 01, 2019.
    Yoo, P. H. & Lee, S. H. (1994). A study on the innovation resistance of consumers in adoption process of new product-concentrated on innovation resistance model. Korean Management Review, 23(3), 218-249.
    Zsifkovits, M. & Günther, M. (2015). Simulating resistances in innovation diffusion over multiple generations: an agent-based approach for fuel-cell vehicles. Central European Journal of Operations Research, 23(2), 501-522.
    Description: 碩士
    國立政治大學
    企業管理研究所(MBA學位學程)
    1063630222
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G1063630222
    Data Type: thesis
    DOI: 10.6814/NCCU201900230
    Appears in Collections:[企業管理研究所(MBA學位學程)] 學位論文

    Files in This Item:

    File SizeFormat
    022201.pdf1870KbAdobe PDF2174View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback