參考文獻 |
1. Aboobucker, I., & Bao, Y. (2018). What obstruct customer acceptance of internet banking? Security and privacy, risk, trust and website usability and the role of moderators. The Journal of High Technology Management Research, 29(1), 109-123.
2. Adhikari, A. (June 2, 2014). IndusInd Bank launches video banking. Retrieved from https://www.businesstoday.in/sectors/banks/indusind-bank-launches-video-banking/story/206849.html
3. Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420.
4. Aldas-Manzano, J., Ruiz-Mafe, C., Sanz-Blas, S., & Lassala-Navarre, C. (2011). Internet banking loyalty: evaluating the role of trust, satisfaction, perceived risk and frequency of use. The Service Industries Journal, 31(7), 1165-1190.
5. Ali, M. (2010). Validating IS success model: Evaluation of Swedish e-Tax system. System, 3, 0.972.
6. Andoh-Baidoo, F. K., Villarreal, M. A., Liu, L. C., & Wuddah-Martey, P. (2010). An exploratory study to examine the success of electronic banking systems implementation in a developing nation. International Journal of Electronic Finance, 4(3), 221-235.
7. Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management, 44, 38-52.
8. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.
9. Barnes, S. J., & Corbitt, B. (2003). Mobile banking: concept and potential. International journal of mobile communications, 1(3), 273-288.
10. Bentler, P. M. (1982). Confirmatory factor analysis via noniterative estimation: A fast, inexpensive method. Journal of marketing research, 19(4), 417-424.
11. Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588.
12. Bentler, P. M., & Yuan, K.-H. (1999). Structural Equation Modeling with Small Samples: Test Statistics. Multivariate Behavioral Research, 34(2), 181-197. doi:10.1207/S15327906Mb340203
13. Bharati, P., & Chaudhury, A. (2004). An empirical investigation of decision-making satisfaction in web-based decision support systems. Decision support systems, 37(2), 187-197.
14. Boateng, H., Adam, D. R., Okoe, A. F., & Anning-Dorson, T. (2016). Assessing the determinants of internet banking adoption intentions: A social cognitive theory perspective. Computers in Human Behavior, 65, 468-478. doi:10.1016/j.chb.2016.09.017
15. Browne, M. W. (1993). Alternative ways of assessing model fit. Testing structural equation models.
16. Buhler, T., Neustaedter, C., & Hillman, S. (2013). How and why teenagers use video chat. Paper presented at the Proceedings of the 2013 conference on Computer supported cooperative work.
17. Chen, H.-J. (2010). Linking employees’e-learning system use to their overall job outcomes: An empirical study based on the IS success model. Computers & Education, 55(4), 1628-1639.
18. Chiu, C. M., Chiu, C. S., & Chang, H. C. (2007). Examining the integrated influence of fairness and quality on learners’ satisfaction and Web‐based learning continuance intention. Information systems journal, 17(3), 271-287.
19. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
20. Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3), 475-487.
21. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95.
22. DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9-30.
23. DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of electronic commerce, 9(1), 31-47.
24. Dirgantari, P. D., Hidayat, Y. M., Mahphoth, M. H., & Nugraheni, R. (2020). Level of Use and Satisfaction of E-Commerce Customers in Covid-19 Pandemic Period: An Information System Success Model (ISSM) Approach. Indonesian Journal of Science and Technology, 5(2), 261-270.
25. Fernando, E. (2020). An Investigation Effective Factors Usage of Smartphone for Use Mobile Banking Services Case: Student University Customers. Paper presented at the 2020 International Conference on Information Management and Technology (ICIMTech).
26. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
27. Futures, F. (1st December 2014). Barclays rolls out “anytime, anywhere” video banking. Retrieved from https://www.fintechfutures.com/2014/12/barclays-rolls-out-anytime-anywhere-video-banking/
28. Ganesan, S. (1994). Determinants of long-term orientation in buyer-seller relationships. Journal of marketing, 58(2), 1-19.
29. Gao, L., & Waechter, K. A. (2017). Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation. Information Systems Frontiers, 19(3), 525-548.
30. Halawi, L. A., McCarthy, R. V., & Aronson, J. E. (2007). AN EMPIRICAL INVESTIGATION OF KNOWLEDGE MANAGEMENT SYSTEMS′SUCCESS. The Journal of Computer Information Systems, 48(2), 121.
31. Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., & Tabar, M. J. S. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics, 31(1), 62-78.
32. Hardianto, Z. I. P. (2019). Analysis and Design of User Interface and User Experience (UI/UX) E-Commerce Website PT Pentasada Andalan Kelola Using Task System Centered Design (TCSD) Method. Paper presented at the 2019 Fourth International Conference on Informatics and Computing (ICIC).
33. Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
34. Iivari, J. (2005). An empirical test of the DeLone-McLean model of information system success. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 36(2), 8-27.
35. Ives, B., Olson, M. H., & Baroudi, J. J. (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.
36. Jana, S., Pande, A., Chan, A., & Mohapatra, P. (2013). Mobile video chat: issues and challenges. IEEE Communications Magazine, 51(6), 144-151.
37. Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (1999). Consumer Trust in an Internet Store: a Cross-Cultural Validation. Journal of Computer-Mediated Communication, 5(2). doi:10.1111/j.1083-6101.1999.tb00337.x
38. Jerene, W., & Sharma, D. (2019). DETERMINANTS OF BANK CUSTOMER′S INTENTION TO ADOPT ELECTRONIC FINANCE TECHNOLOGIES IN ETHIOPIA: AN INTEGRATION OF TAM WITH FINANCIAL RISK, FINANCIAL TRUST, AND AWARENESS. Journal of Internet Banking and Commerce, 24(3), 1-18.
39. Kim, D., & Benbasat, I. (2003). Trust-related arguments in internet stores: A framework for evaluation. J. Electron. Commerce Res., 4(2), 49-64.
40. Kim, K. K., & Prabhakar, B. (2004). Initial trust and the adoption of B2C e-commerce: The case of internet banking. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 35(2), 50-64.
41. Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision support systems, 29(3), 269-282.
42. Lee, K. C., & Chung, N. (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean’s model perspective. Interacting with computers, 21(5-6), 385-392.
43. Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology.
44. Lin, H.-F., & Lee, G.-G. (2006). Determinants of success for online communities: an empirical study. Behaviour & Information Technology, 25(6), 479-488. doi:10.1080/01449290500330422
45. Lin, W.-R., Wang, Y.-H., & Hung, Y.-M. (2020). Analyzing the factors influencing adoption intention of internet banking: Applying DEMATEL-ANP-SEM approach. Plos one, 15(2), e0227852.
46. Lunt, P. (1995). Besting the big boys with video banking. American Bankers Association. ABA Banking Journal, 87(10), 28.
47. Marinkovic, V., & Obradovic, V. (2015). Customers’ emotional reactions in the banking industry. International journal of bank marketing.
48. Mashhour, A. (2008). A Framework for Evaluating the Effectiveness of Information Systems at Jordan Banks: An Empirical Study. Journal of Internet Banking and Commerce, 13(1).
49. McDonald, R. P., & Marsh, H. W. (1990). Choosing a multivariate model: Noncentrality and goodness of fit. Psychological bulletin, 107(2), 247.
50. McKnight, D. H., Choudhury, V., & Kacmar, C. (2002a). Developing and validating trust measures for e-commerce: An integrative typology. Information systems research, 13(3), 334-359.
51. McKnight, D. H., Choudhury, V., & Kacmar, C. (2002b). The impact of initial consumer trust on intentions to transact with a web site: a trust building model. The Journal of Strategic Information Systems, 11(3-4), 297-323.
52. McKnight, D. H., Cummings, L. L., & Chervany, N. L. (1998). Initial trust formation in new organizational relationships. Academy of Management review, 23(3), 473-490.
53. Moorhead, P. (2016/8/30). Vidyo Aims To Disrupt Video Banking After Seeing Success In Healthcare And Defense. Retrieved from https://www.forbes.com/sites/patrickmoorhead/2016/08/30/vidyo-aims-to-disrupt-video-banking-after-seeing-success-in-healthcare-and-defense/?sh=3c717a4d5e4a
54. Nelson, R. R., Todd, P. A., & Wixom, B. H. (2005). Antecedents of information and system quality: an empirical examination within the context of data warehousing. Journal of Management Information Systems, 21(4), 199-235.
55. Nugroho, Y., & Prasetyo, A. (2018). Assessing information systems success: a respecification of the DeLone and McLean model to integrating the perceived quality. Problems and Perspectives in Management, 16(1), 348.
56. Parasuraman, A., Zeithaml, V. A., & Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. 1988, 64(1), 12-40.
57. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of marketing, 49(4), 41-50.
58. Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of service research, 7(3), 213-233.
59. Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service quality: a measure of information systems effectiveness. MIS quarterly, 173-187.
60. Riantama, I. G. E., Suardhika, N., & Yuesti, A. (2020). Financial technology application success in the 4.0 Era. International Journal of Psychosocial Rehabilitation, 24(9), 2948-2962.
61. Romi, I. M. (2013). Testing Delone and Mclean’s Model in Financial Institutions.
62. Sabherwal, R., Jeyaraj, A., & Chowa, C. (2006). Information system success: Individual and organizational determinants. Management science, 52(12), 1849-1864.
63. Sandjojo, N., & Wahyuningrum, T. (2015). Measuring e-learning systems success: Implementing D & M is success model. Paper presented at the 2015 4th International Conference on Interactive Digital Media (ICIDM).
64. Sharma, S. K., & Sharma, M. (2019). Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International Journal of Information Management, 44, 65-75.
65. SKINNER, C. (2014). 數位銀行-銀行數位轉型策略指南: 台灣金融研訓院.
66. Strong, R. (2018). Video Banking ICT Adoption. Available at SSRN 3099802.
67. Tam, C., & Oliveira, T. (2016). Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective. Computers in Human Behavior, 61, 233-244.
68. Tam, C., & Oliveira, T. (2017). Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture. Internet Research.
69. Tiwari, R., Buse, S., & Herstatt, C. (2007). Mobile services in banking sector: the role of innovative business solutions in generating competitive advantage. Technology and Innovation Managment Working Paper(48).
70. Urbach, N., Smolnik, S., & Riempp, G. (2010). An empirical investigation of employee portal success. The Journal of Strategic Information Systems, 19(3), 184-206.
71. Wang, Y. S. (2008). Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Information systems journal, 18(5), 529-557.
72. Wu, J.-H., & Wang, Y.-M. (2006). Measuring KMS success: A respecification of the DeLone and McLean′s model. Information & Management, 43(6), 728-739.
73. Yadav, A. (2016). Factors influencing the usage of mobile banking among customers. IUP Journal of Bank Management, 15(4), 7.
74. Yousafzai, S., Pallister, J., & Foxall, G. (2009). Multi-dimensional role of trust in Internet banking adoption. The Service Industries Journal, 29(5), 591-605.
75. Yousafzai, S. Y., Pallister, J. G., & Foxall, G. R. (2005). Strategies for building and communicating trust in electronic banking: A field experiment. Psychology & Marketing, 22(2), 181-201.
76. Yu, P. L., Balaji, M., & Khong, K. W. (2015). Building trust in internet banking: a trustworthiness perspective. Industrial Management & Data Systems.
77. Zhao, Y., & Bacao, F. (2021). How Does the Pandemic Facilitate Mobile Payment? An Investigation on Users’ Perspective under the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18(3), 1016.
78. Zhou, T. (2012). Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 28(4), 1518-1525. doi:10.1016/j.chb.2012.03.021
79. Zhu, D. H., Lan, L. Y., & Chang, Y. P. (2017). Understanding the Intention to Continue Use of a Mobile Payment Provider: An Examination of Alipay Wallet in China. International Journal of Business and Information, 12(4), 369-390. doi:http://dx.doi.org/10.6702/ijbi.2017.12.4.2
80. Zhu, J. D.-S., & Lin, C.-T. (2010). The antecedents and consequences of e-service quality for online banking. Social Behavior and Personality: an international journal, 38(8), 1009-1018.
81. 台灣金融研訓院. (2020). 台灣金融生活調查. Retrieved from 台灣金融研訓院:
82. 吳亞馨, 朱素玥, & 方文昌. (2008). 網路購物信任與科技接受模式之實證研究. 資訊管理學報, 頁, 123-152.
83. 吳家豪. (2020). 電商雙11單日銷售額破30億元 創歷年新高. Retrieved from https://money.udn.com/money/story/5612/5010311
84. 李顯正. (2018). 金融科技概論: 新陸書局股份有限公司.
85. 李顯儀. (2018). 數位金融與金融科技: 全華圖書股份有限公司.
86. 周采嫻. (2016). 以媒體豐富性與媒體同步性探討運用視訊會議探視長輩之意圖. 交通大學管理學院資訊管理學程學位論文, 1-95.
87. 拓墣產業研究所. (2011). 行動雲端新浪潮:智慧型手機商機俏.
88. 林信亨. (2020/04). 疫情之下的遠距科技應用商機.
89. 林政賢. (2020). 2020 全球智慧型手機發展趨勢. 光連: 光電產業與技術情報(146), 40-44.
90. 林朝源, & 秦儀庭. (2012). PZB 服務品質模型探討服務品質與顧客滿意度之研究. Paper presented at the 彰雲嘉大學校院聯盟 2012 年學術研討會 (101/12/07) 2012-12-07 2012-12-07 大葉大學.
91. 范姜群暐. (2012/09). 行動商務大未來. 財金資訊季刊(NO.72).
92. 財團法人台灣網路資訊中心. (2020). 台灣網路報告. Retrieved from 財團法人台灣網路資訊中心:
93. 國立清華大學秘書處. (2017). 「心電支付」 清華團隊發現來自新心的秘密. Retrieved from https://www.nthu.edu.tw/hotNews/content/537
94. 張偉豪. (2011). SEM 論文寫作不求人, 台北: 鼎茂圖書出版股份有限公司.
95. 曹孝義. (2002). 即時互動式視訊與遠端服務系統應用於電子教學環境之研究.
96. 陳正昌、程炳林. (2002). SPSS, SAS, BMDP統計軟體在多變量統計上的應用. 台北: 五南圖書出版公司.
97. 陳順宇. (2005). 多變量分析: 華泰書局.
98. 曾名慧. (2019). 影響消費者對純網路銀行使用意圖之研究.
99. 黃伃君. (2021/04/15). 臉書測試第二款約會軟體!4分鐘快速視訊配對用戶. Retrieved from https://newtalk.tw/news/view/2021-04-15/564125
100. 黃芳銘. (2004). 結構方程模式理論與應用, 台北市: 五南.
101. 勤業眾信聯合會計師事務所. (2021). 勤業眾信通訊. Retrieved from 勤業眾信聯合會計師事務所:
102. 楊筱筠. (2021/04/25). 數位帳戶戰 純網銀躍新勢力. Retrieved from https://money.udn.com/money/story/5612/5411706
103. 劉曉薇. (2019). 純網路銀行對銀行業的影響研析. 彰銀資料, 68.
104. 蔡敏姿. (2020). 天貓雙11戰報 十天業績2兆. Retrieved from https://udn.com/news/story/7333/5008119
105. 賴郁淇. (2008). 探討Podcasting採用因素與使用行為之研究. (碩士). 國立政治大學, 台北市. Retrieved from https://hdl.handle.net/11296/9mrs77 |