题名

探討金融科技知覺風險對行動支付使用意圖之研究

并列篇名

Exploring the Effects of Fintech Perceived Risk on the Usage Intention of Mobile Payment

作者

林文晟(Wen Cheng Lin)；凌祥發(Hsiang Fa Ling)；周思妤(Ssu-Yu Chou)

关键词

科技接受模式 ； 知覺風險 ； 行動支付 ； 使用意圖 ； Technology Acceptance Model ； Perceived Risk ； Mobile payment ； Usage Intention

期刊名称

東吳經濟商學學報

卷期/出版年月

107期（2023 / 12 / 01）

页次

1 - 32

内容语文

繁體中文;英文
中文摘要

2020年初，COVID-19新冠疫情爆發，各國政府在避免疫情升溫的同時也積極推廣無接觸式活動，因此臺灣消費者使用行動支付的比率也隨之增加。儘管如此，仍然有部分消費者選擇以現金支付的方式消費，然過去文獻甚少研究其相關的原因，本研究將以金融科技為背景，將科技接受模式與知覺風險作為理論架構，探討影響使用意圖的相關要素。本研究問卷採用網路問卷，在社群媒體上以隨機便利抽樣方式發放，共計回收有效問卷551份，並以結構方程模型進行分析。而最終研究結果發現：1.科技接受模式會正向影響行動支付使用意圖。2.知覺風險會負向影響行動支付使用意圖。3.科技接受模式對行動支付使用意圖會受到知覺風險的調節。本研究的結果與發現有助於行動支付推廣、政策研擬之建議，並提供未來相關議題研究之基石。
英文摘要

At the beginning of 2020, the COVID-19 pandemic outbreak. Governments of various countries have inspired consumers to do contactless activities, while avoiding the COVID-19 pandemic continuing to grow. Therefore, the rate of Taiwan consumers using mobile payment has also increased. Nevertheless, some consumers still choose to pay in cash. In the past, the literature seldom studied the related reasons. This paper uses the financial technology as the background, and uses the technology acceptance model and perceived risk as the theoretical framework to explore the relevant factors that affect the usage intention. Then use the linear structural relations of the questionnaire investigation method to explore the effects of Fintech perceived risk on the usage intention of mobile payment. The questionnaire of this paper adopts the online questionnaire, which is distributed by random convenience sampling on social media. A total of 551 valid questionnaires were recovered and analyzed by structural equation mod eling (SEM). The empirical results found that: 1. The technology acceptance model positively affects the usage intention of mobile payment. 2. Perceived risk negatively affects the usage intention of mobile payment. 3. The usage intention of the technology acceptance model for mobile payment moderated by the perceived risk. The results and findings of this study are helpful for mobile payment promotion, policy formulation recommendations, and provide a cornerstone for future research on related issues.
主题分类 社會科學 > 經濟學
社會科學 > 財金及會計學
参考文献
  1. Liaw, S. Y.,Li, M. J.,Guo, W. P.(2018).Does Absorption Definitely Work? Exploring Consumers' Intentions by Perceived Risk of Mobile Payment under Cognitive Absorption of Free-Economics.Xing Xiao Ping Lun,15(1),193-219.
    連結：
  2. 柯瓊鳳,邵楀媃,洪明欽(2022)。天氣因素於網路團購消費者行為之影響研究。東吳經濟商學學報，105，81-114。
    連結：
  3. Ajzen, I.,Fishbein, M.(1975).A Bayesian analysis of attribution processes.Psychological bulletin,82(2),261.
  4. Akturan, U.,Tezcan, N.(2012).Mobile banking adoption of the youth market: Perceptions and intentions.Marketing Intelligence & Planning,30(4),444-459.
  5. Al-Dmour, A.,Al-dmour, H. H.,Brghuthi, R.,Al-Dmour, R.(2021).Technology Acceptance Dynamics and Adoption of E-Payment Systems: Empirical Evidence From Jordan.International Journal of E-Business Research (IJEBR),17(2),61-80.
  6. Anser, M. K.,Zaigham, G. H. K.,Imran Rasheed, M.,Pitafi, A. H.,Iqbal, J.,Luqman, A.(2020).Social media usage and individuals' intentions toward adopting Bitcoin: The role of the theory of planned behavior and perceived risk.International Journal of Communication Systems,33(17),e4590.
  7. Arvidsson, N.(2014).Consumer attitudes on mobile payment services – Results from a proof of concept test.International Journal of Bank Marketing,32(2),150-170.
  8. Baganzi, R.,Lau, A. K.(2017).Examining trust and risk in mobile money acceptance in Uganda.Sustainability,9(12),22-33.
  9. Bagozzi, R.P(2007).The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift.Journal of the Association for Information Systems,8(4),244-254.
  10. Bauer, R. A.(1960).Consumer behavior as risk taking.Proceedings of the 43rd National Conference of the American Marketing Assocation
  11. Caldeira, T. A.,Ferreira, J. B.,Freitas, A.,Falcão, R. P. D. Q.(2021).Adoption of Mobile Payments in Brazil: Technology Readiness, Trust and Perceived Quality.BBR. Brazilian Business Review,18,415-432.
  12. Casidy, R.,Wymer, W.(2016).A risk worth taking: Perceived risk as moderator of satisfaction, loyalty, and willingness-to-pay premium price.Journal of Retailing and Consumer Services,32,189-197.
  13. Chang, W. L.,Chen, L. M.,Hashimoto, T.(2021).Cashless Japan: Unlocking Influential Risk on Mobile Payment Service.Information Systems Frontiers,1-14.
  14. Chavoshi, A.,Hamidi, H.(2019).Social, individual, technological and pedagogical factors influencing mobile learning acceptance in higher education: A case from Iran.Telematics and Informatics,38,133-165.
  15. Chen, P. S.,Lee, J. J.,Huang, S. J.,Lin, C. L.(2020).A Study on Consumers' Usage Behavior of the Bank's Mobile Payment APPs in Taiwan.Business and Economics Research Journal,11(3),793-805.
  16. Chong, A. Y. L.(2013).Predicting m-commerce adoption determinants: A neural network approach.Expert Systems with Applications,40(2),523-530.
  17. Cox, Donald F.(Ed.)(1967).Risk Taking and Information Handling in Consumer Behavior.Boston:Harvard University Press.
  18. Davis, F. D.(1989).Perceived usefulness, perceived ease of use, and user acceptance of information technology.MIS quarterly,319-340.
  19. Davis, F. D.,Bagozzi, R. P.,Warshaw, P. R.(1989).User acceptance of computer technology: A comparison of two theoretical models.Management Science,35(8),982-1002.
  20. De Luna, I. R.,Liébana-Cabanillas, F.,Sánchez-Fernández, J.,Munoz-Leiva, F.(2019).Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied.Technological Forecasting and Social Change,146,931-944.
  21. Doffman, Z. (2019), Cybercrime: 25% of all malware targets financial services, credit card fraud up 200%. Forbes, April, 29.
  22. Driediger, F.,Bhatiasevi, V.(2019).Online grocery shopping in Thailand: Consumer acceptance and usage behavior.Journal of Retailing and Consumer Services,48,224-237.
  23. Estiyanti, N. M.,Agustia, D.,Mulia, R. A.,Alfarisyi, R.,Frandha, R.,Hidayanto, A. N.,Kurnia, S.(2021).The impact of perceived usability on mobile wallet acceptance: a case of Gopay Indonesia.International Journal of Innovation and Learning,30(2),154-174.
  24. Featherman, M. S.,Pavlou, P. A.(2003).Predicting e-services adoption: a perceived risk facets perspective.International journal of human-computer studies,59(4),451-474.
  25. Forsythe, S. M.,Shi, B.(2003).Consumer patronage and risk perceptions in internet shopping.Journal of Business Research,56(11),867-875.
  26. Forsythe, S.,Liu, C.,Shannon, D.,Gardner, L. C.(2006).Development of a scale to measure the perceived benefits and risks of online shopping.Journal of interactive marketing,20(2),55-75.
  27. Goeke, L.,Pousttchi, K.(2010).A scenario-based analysis of mobile payment acceptance.2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR)
  28. Grewal, D.,Gotlieb, J.,Marmorstein, H.(1994).The moderating effects of message framing and source credibility on the price-perceived risk relationship.Journal of consumer research,21(1),145-153.
  29. Hair, J. F.,Anderson, R. E.,Tatham, R. L.,Black, W. C.(1998).Multivariate data analysis.NJ:Prentice-Hall.
  30. Homburg, C.(Ed.),Klarmann, M.(Ed.),Vomberg, A.(Ed.)(2022).Handbook of Market Research.Springer International Publishing.
  31. Huang, C. H.(2021).Exploring the Continuous Usage Intention of Online Learning Platforms from the Perspective of Social Capital.Information,12(4),141.
  32. Huang, W. Y.,Schrank, H.,Dubinsky, A. J.(2004).Effect of brand name on consumers' risk perceptions of online shopping.Journal of Consumer Behaviour: An International Research Review,4(1),40-50.
  33. Humbani, M.,Wiese, M.(2019).An integrated framework for the adoption and continuance intention to use mobile payment apps.International Journal of Bank Marketing,37(2),646-664.
  34. Johnson, V. L.,Kiser, A.,Washington, R.,Torres, R.(2018).Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services.Computers in Human Behavior,79,111-122.
  35. Kim, D. J.,Ferrin, D. L.,Rao, H. R.(2009).Trust and satisfaction, two stepping stones for successful e-commerce relationships: A longitudinal exploration.Information systems research,20(2),237-257.
  36. Kowatsch, T.,Maass, W.(2010).In-store consumer behavior: How mobile recommendation agents influence usage intentions, product purchases, and store preferences.Computers in Human Behavior,26(4),697-704.
  37. Lee, M. C.(2009).Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit.Electronic commerce research and applications,8(3),130-141.
  38. Liu, Y.,Wang, M.,Huang, D.,Huang, Q.,Yang, H.,Li, Z.(2019).The impact of mobility, risk, and cost on the users’ intention to adopt mobile payments.Information Systems and e-Business Management,17(2),319-342.
  39. Mallat, N.(2007).Exploring consumer adoption of mobile payments-A qualitative study.The Journal of Strategic Information Systems,16(4),413-432.
  40. Marafon, D. L.,Basso, K.,Espartel, L. B.,de Barcellos, M. D.,Rech, E.(2018).Perceived risk and intention to use internet banking: The effects of self-confidence and risk acceptance.International Journal of Bank Marketing,36(2),277-289.
  41. Mascarenhas, A. B.,Perpétuo, C. K.,Barrote, E. B.,Perides, M. P.(2021).The Influence of Perceptions of Risks and Benefits on the Continuity of Use of Fintech Services.BBR. Brazilian Business Review,18,1-21.
  42. Mitchell, V.-W.(1992).Understanding consumers’ behavior: can perceived risk theory help?.Management Decision,30(2),26-31.
  43. Naglis, M.,Bhatiasevi, V.(2019).Why do people use fitness tracking devices in Thailand? An integrated model approach.Technology in Society,58,101146.
  44. Natarajan, T.,Balasubramanian, S. A.,Kasilingam, D. L.(2018).The moderating role of device type and age of users on the intention to use mobile shopping applications.Technology in Society,53,79-90.
  45. Oliveira, T.,Thomas, M.,Baptista, G.,Campos, F.(2016).Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology.Computers in Human Behavior,61,404-414.
  46. Rogers, E. M.(2003).Diffusion of innovations.Simon and Schuster.
  47. Schierz, P. G.,Schilke, O.,Wirtz, B. W.(2010).Understanding consumer acceptance of mobile payment services: An empirical analysis.Electronic commerce research and applications,9(3),209-216.
  48. Schmidthuber, L.,Maresch, D.,Ginner, M.(2020).Disruptive technologies and abundance in the service sector-toward a refined technology acceptance model.Technological Forecasting and Social Change,155,119328.
  49. Shin, S.,Lee, W. J.(2014).The effects of technology readiness and technology acceptance on NFC mobile payment services in Korea.Journal of Applied Business Research (JABR),30(6),1615-1626.
  50. Slade, E. L.,Dwivedi, Y. K.,Piercy, N. C.,Williams, M. D.(2015).Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust.Psychology & Marketing,32(8),860-873.
  51. Slade, E. L.,Williams, M. D.,Dwivedi, Y. K.(2013).Mobile payment adoption: Classification and review of the extant literature.The Marketing Review,13(2),167-190.
  52. Thakur, R.,Srivastava, M.(2014).Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India.Internet Research,24(3),369-392.
  53. Unnikrishnan, R.,Jagannathan, L.(2018).Do Perceived Risk and Trust affect Consumer Adoption of Mobile Payments? A Study of Indian Consumers.South Asian Journal of Management,25(4),74-100.
  54. Venkatesh, V.,Bala, H.(2008).Technology acceptance model 3 and a research agenda on interventions.Decision sciences,39(2),273-315.
  55. Venkatesh, V.,Thong, J. Y.,Xu, X.(2012).Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology.MIS quarterly,157-178.
  56. Wang, L.,Dai, X.(2020).Exploring factors affecting the adoption of mobile payment at physical stores.International Journal of Mobile Communications,18(1),67-82.
  57. Wetzels, M.,Oderkerken-Schröder, G.,van Oppen, C.(2009).Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration.MIS Quarterly,33(1),177-195.
  58. Wu, J.,Liu, L.,Huang, L.(2017).Consumer acceptance of mobile payment across time: Antecedents and moderating role of diffusion stages.Industrial Management & Data Systems,117(8),1761-1776.
  59. Wu, R. Z.,Lee, J. H.,Tian, X. F.(2021).Determinants of the Intention to Use Cross-Border Mobile Payments in Korea among Chinese Tourists: An Integrated Perspective of UTAUT2 with TTF and ITM.Journal of Theoretical and Applied Electronic Commerce Research,16(5),1537-1556.
  60. Xie, J.,Ye, L.,Huang, W.,Ye, M.(2021).Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk.Journal of Theoretical and Applied Electronic Commerce Research,16(5),1893-1911.
  61. Yan, H.,Pan, K.(2015).Examining mobile payment user adoption from the perspective of trust transfer.International Journal of Networking and Virtual Organisations,15(2-3),136-151.
  62. Yang, Y.,Liu, Y.,Li, H.,Yu, B.(2015).Understanding perceived risks in mobile payment acceptance.Industrial Management & Data Systems,115(2),253-269.
  63. Zavolokina, L.,Dolata, M.,Schwabe, G.(2016).The FinTech phenomenon: antecedents of financial innovation perceived by the popular press.Financial Innovation,2(1),1-16.
  64. 吳宜儒(2021)。國立臺中科技大學。
  65. 林嘉茵(2021)。國立成功大學交通管理科學系碩士在職專班。
  66. 金融監督管理委員會(2016).金融科技發展策略白皮書.
  67. 金融監督管理委員會(2020)，金融科技發展路徑圖。2020 年 8 月 27 日。取自：https://www.fsc.gov.tw/ch/home.jsp?id=487&parentpath=0,7,478&mcustomize=onemessages_view.jsp&dataserno=202008280001&dtable=O20160223020901
  68. 陳欽雨,張書豪,劉邑莛(2019)。影響行動支付使用意願之前置因素研究。創新與管理，15(1)，29-55。
  69. 萬事達卡(2021)，行動支付使用習慣調查報告，2021 年 6 月 24 日。取自：https://www.mastercard.com/news/ap/zh-tw/
  70. 蕭佑和(2018) ， 6分鐘搞懂台灣行動支付市場，2018 年 9 月 10 日。取自：https://www.moneynet.com.tw/article/5877/%E5%9C%96
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