Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/130980
|
Title: | 行動銀行應用程式之服務品質與應用程式品質對於持續使用意願之影響 The Impact of Service Quality and Application Quality on the Continuance Intention of Mobile Bank Application |
Authors: | 范鈺鑫 Fan, Yu-Hsin |
Contributors: | 張欣綠 Chang, Hsin-Lu 范鈺鑫 Fan, Yu-Hsin |
Keywords: | 行動銀行應用程式 推敲可能性模型 服務品質 應用程式品質 持續使用意願 Mobile bank applications Elaboration likelihood model Service quality App quality Continuance intention |
Date: | 2020 |
Issue Date: | 2020-08-03 17:36:13 (UTC+8) |
Abstract: | With the progress of technology, people have become accustomed to accessing in-formation or completing daily tasks on their smartphone applications to save time and avoid troubles. Therefore, banks have launched their mobile bank applications to pro-vide various financial services, such as transferring money, purchasing foreign currencies or funds and so on. However, many smartphone users download far more applications than they actually use. Additionally, as more and more competing banks launch similar applications, the switching cost becomes lower. Thus, how to make users will-ing to continue using mobile bank applications is a very critical topic for banks. In this study, we cooperate with First Bank, a top-ten bank in Taiwan, to examine factors that can persuade users to continue to use the mobile bank applications. We recruit its account users to test its newly launched application, iLEO. We classify the qualities of mobile bank applications into two kinds: service quality and app quality. Developed upon the elaboration likelihood model, we attempt to find out which quality-related cues are effective in persuading users to use iLEO continuously when considering individual differences, including self-efficacy and user involvement. The results are expected to help First Bank understand what cues are effective to persuade different users to use iLEO continuously and assist banks in planning different marketing events for different users. |
Reference: | 趙珮晴, & 余民寧. (2018). 未來職業意圖受 [情境] 影響? 以社會認知生涯理論分析. 257–290. https://doi.org/10.6209/JORIES.201809Bhattacherjee, A., & Sanford, C. (2006). Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model. 30(4), 805–825. Cheung, C. M. Y., Sia, C. L., & Kuan, K. K. Y. (2012). Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective. Journal of the Association of Information Systems, 13(8), 618–635. https://doi.org/10.17705/1jais.00305 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. https://doi.org/10.1111/j.1365-2575.2007.00238.x Devaraj, S., M. Fan, R. K. (2002). “Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics,” Information Systems Research. (July 2019). Fang, Y. H. (2017). Exploring task-service fit and usefulness on branded applications continuance. Journal of Services Marketing, 31(6), 574–588. https://doi.org/10.1108/JSM-07-2016-0256 Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312 Gan, C. L., & Balakrishnan, V. (2017). Enhancing classroom interaction via IMMAP - An Interactive Mobile Messaging App. Telematics and Informatics, 34(1), 230–243. https://doi.org/10.1016/j.tele.2016.05.007 Gefen, D., & Straub, D. (2005). A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example. Communications of the Association for Information Systems, 16, 91–109. https://doi.org/10.17705/1cais.01605 Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural Equation Modeling and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems, 4(October). https://doi.org/10.17705/1cais.00407 Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational impact of system quality, information quality, and service quality. Journal of Strategic Information Systems, 19(3), 207–228. https://doi.org/10.1016/j.jsis.2010.05.001 Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM). Practical Assessment, Research and Evaluation, 21(1), 1–16. https://doi.org/10.1108/ebr-10-2013-0128 Hajiheydari, N., Hernandez-Carrion, J. R., & Ashkani, M. (2018). Mobile application diffusion and success: An interpretative approach to influential factors. International Journal of E-Services and Mobile Applications, 10(4), 18–39. https://doi.org/10.4018/IJESMA.2018100102 Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(January), 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014 Hoehle, H., & Venkatesh, V. (2015). Mobile application usability: Conceptualization and instrument development. MIS Quarterly: Management Information Systems, Vol. 39, pp. 435–472. https://doi.org/10.25300/MISQ/2015/39.2.08 Hulland, J. (1999). USE OF PARTIAL LEAST SQUARES (PLS) IN STRATEGIC MANAGEMENT RESEARCH: A REVIEW OF FOUR RECENT STUDIES. 18(May), 1998. Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322. https://doi.org/10.1016/j.chb.2009.10.013 Kim, D. J., & Hwang, Y. (2012). A study of mobile internet user’s service quality perceptions from a user’s utilitarian and hedonic value tendency perspectives. Information Systems Frontiers, 14(2), 409–421. https://doi.org/10.1007/s10796-010-9267-8 Kim, H.-W., Xu, Y., & Koh, J. (2004). A Comparison of Online Trust Building Factors between Potential Customers and Repeat Customers. Journal of the Association for Information Systems, 5(10), 392–420. https://doi.org/10.17705/1jais.00056 Lowry, P. B., Vance, A., Moody, G., Beckman, B., & Read, A. (2008). Explaining and predicting the impact of branding alliances and web site quality on initial consumer trust of E-commerce web sites. Journal of Management Information Systems, 24(4), 199–224. https://doi.org/10.2753/MIS0742-1222240408 Parasuraman, A., & Zeithaml, V. (1988). SERVQUAL: a multiple-item scale for measuring consumer perceptions of service …. Retailing: Critical …. Retrieved from http://books.google.co.uk/books?hl=en&lr=&id=Rt96wAigg2oC&oi=fnd&pg=PA140&dq=over+50%27s+consumer+behaviour&ots=pPv45yAHvK&sig=AL2ewACQwL3_En3qjvd1Bo5k9fw Peng, K. F., Chen, Y., & Wen, K. W. (2014). Brand relationship, consumption values and branded app adoption. Industrial Management and Data Systems, 114(8), 1131–1143. https://doi.org/10.1108/IMDS-05-2014-0132 Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19(C), 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2 Review 24. 39+ Smartphone Statistics You Should Know in 2019 Retrieved January 29 2020, from https://review42.com/smartphone-statistics Seddon, P. B. (1997). A Respecification and Extension of the DeLone and McLean Model of IS Success. Information Systems Research, Vol. 8, pp. 240–253. https://doi.org/10.1287/isre.8.3.240 Statista. App Users Spend 77% of Their Time on Their Top 3 Apps Retrieved September 30 2019, from https://www.statista.com/chart/3835/top-10-app-usage/?fbclid=IwAR2nqjzTjVri8-cuAO3VR-Zs-YlwZit9AzTfcY7Ckw6Q3VrTBL6LjDQOEPo Stoyanov, S. R., Hides, L., Kavanagh, D. J., Zelenko, O., Tjondronegoro, D., & Mani, M. (2015). Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps. JMIR MHealth and UHealth, 3(1), e27. https://doi.org/10.2196/mhealth.3422 Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47–65. https://doi.org/10.1287/isre.14.1.47.14767 Tam, K. Y., & Ho, S. Y. (2005). Web personalization as a persuasion strategy: An elaboration likelihood model perspective. Information Systems Research, 16(3), 271–291. https://doi.org/10.1287/isre.1050.0058 Yang, S. (2016). Role of transfer-based and performance-based cues on initial trust in mobile shopping services: a cross-environment perspective. Information Systems and E-Business Management, 14(1), 47–70. https://doi.org/10.1007/s10257-015-0274-7 Zhou, T. (2012). Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 28(4), 1518–1525. https://doi.org/10.1016/j.chb.2012.03.021 Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091. https://doi.org/10.1016/j.dss.2012.10.034 |
Description: | 碩士 國立政治大學 資訊管理學系 107356023 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0107356023 |
Data Type: | thesis |
DOI: | 10.6814/NCCU202001006 |
Appears in Collections: | [資訊管理學系] 學位論文
|
Files in This Item:
File |
Description |
Size | Format | |
602301.pdf | | 1852Kb | Adobe PDF2 | 0 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|