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http://dx.doi.org/10.14400/JDC.2019.17.2.127

Behavioral Factors Affecting Tourists' Smartphone Usage: Focus on Mobile Banking Service  

Qu, Xiaoqian (Dept. of Management Information Systems, Jeju National University)
Kim, Mincheol (Dept. of Management Information Systems, Jeju National University)
Publication Information
Journal of Digital Convergence / v.17, no.2, 2019 , pp. 127-134 More about this Journal
Abstract
The purpose of this study was to investigate the factors affecting the behavior intention of smartphone mobile banking service among tourists. Currently, due to the development of mobile Internet technology and the spread of smartphone all over the world, interest and spread of smart phone based mobile banking is popularized. Thus, we analyzed the relationship among performance expectancy, social influence, facilitating conditions, perceived financial cost, perceived habit, perceived security level, and user's behavioral intention as a dependent variable. In this study, 203 respondents were interviewed about Chinese tourists at Jeju International Airport, and the influence of independent variables was determined by Smartpls 3.0. The results showed that the perceived security level and habit had a positive effect on the behavior intention. Especially, perceived security is a major issue of smartphone-based mobile banking in recent years. This study is meaningful in that it is an analysis of behavior factors of smartphone-based mobile banking service for tourists.
Keywords
Tourists; Smartphone-based mobile banking; Perceived security; Habits; Behavioral factors on usage;
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1 J. Kim, J. Kim & Cheong Shao. (2018). Comparison of Intentions of Using Third Party Mobile Payment Service. Internet e-commerce research, 18(3), 1-18.   DOI
2 C. Jeon. (2017). A Study on the Influence of Privacy Risk on Intention to Use Smart Banking Service in Korean Banks. Master Thesis, Sejong University Graduate School.
3 J. Park. (2010). Key issues and status of deregulation of mandatory use of certificates in electronic financial transactions. Payment settlement and information technology, 7.
4 J. Park. (2015). A Study on the Usability of Smart Phone Financial Application GUI by Its Characteristics. Master Thesis, Hongik University Graduate School.
5 C. S. Yu. (2012). Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13(2), 104.
6 B. Suh & I. Han. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce research and applications, 1(3-4), 247-263.   DOI
7 V. Venkatesh & F. D. Davis. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.   DOI
8 W. H. Delone & E. R. McLean. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.   DOI
9 V. Venkatesh, M. G. Morris, G. B. Davis & F. D. Davis. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
10 V. Venkatesh & X. Zhang. (2010). Unified theory of acceptance and use of technology: US vs. China. Journal of global information technology management, 13(1), 5-27.   DOI
11 P. Luarn & H. H. Lin. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in human behavior, 21(6), 873-891.   DOI
12 P. Luarn & H. H. Lin. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in human behavior, 21(6), 873-891.   DOI
13 Y. F. Kuo & S. N. Yen. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25(1), 103-110.   DOI
14 H. Cheong & M. Park. (2005). Mobile internet acceptance in Korea. Internet research, 15(2), 125-140.   DOI
15 P. A. Pavlou & D. Gefen. (2004). Building effective online marketplaces with institution-based trust. Information systems research, 15(1), 37-59.   DOI
16 V. Venkatesh, M. G. Morris, G. B. Davis & F. D. Davis. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
17 C. M. Ringle, S. Wende & J. M. Becker. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH, http://www.smartpls.com.
18 Samsung Economic Research Institute. (2010). Evolution of business model in the age of mobile banking. SERI.
19 T. Hong, Xi Wang, Bomil Suh, Ziyan Yao, J. Park. (2017). The Factors Influencing on the Intention to Use Mobile Payment System: Focused on Korea and China. Korea Knowledge Management Research, 18(4), 159-180.
20 IiMedia Research. (2018). Available for www.iimedia.cn
21 Y. Park. (2011). A Study on Sexuality Addiction and Mental Health. Sangji Univ. Security, Master Thesis, Graduate School of Counseling Psychology.
22 S. Kim. (2016). Convergence and implications of smartphone and payment service sector, Financial Supervisory Service.
23 S. Shin. (2010). A Study on the Influence of Individual Characteristics and Smartphone Innovation Service Characteristics on the Attitude of Reception. Master Thesis, Hongik University.
24 H. Choi. (2004). A Study on the Factors Influencing the Intention of Mobile Internet Usage under Mobile Characteristics. Industrial Economic Studies, 17(4), 1399-1420.
25 M. Hussain, A. Al-Haiqi, A. A. Zaidan, B. B. Zaidan, M. L. M. Kiah, N. B. Anuar & M. Abdulnabi. (2015). The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer methods and programs in biomedicine, 122(3), 393-408.   DOI