A Cultural Comparative Study of Mobile Banking Adoption Factors

References

• International Telecommunication Union. ICT Facts and Figures 2017. ICT Data and Statistics Division, 2017:1–8. Accessed 8/8/2018. Retrieved from https://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2017.pdf.
   Google Scholar
• Afshan S, Sharif A. Acceptance of mobile banking framework in Pakistan. Telematics Inform. 2016;33:370–87. doi:10.1016/j.tele.2015.09.005.
   Web of Science ®Google Scholar
• Yu C. Using E-lifestyle to analyze mobile banking adopters and non-adopters. J Global Inf Technol Manag. 2015;18(3):188–213. doi:10.1080/1097198X.2015.1070619.
   Web of Science ®Google Scholar
• Baptista G, Oliveira T. Understanding mobile banking: the unified theory of acceptance and use of technology combined with cultural moderators. Comput Human Behav. 2015;50:418–30. doi:10.1016/j.chb.2015.04.024.
   Web of Science ®Google Scholar
• Barquin S, Vinayak HV, Shrikhande D. Asia’s digital banking race: giving customers what they want. McKinsey & Company, April 2018:1–16. Accessed 8/8/2018. .
   Google Scholar
• Board of Governors of the Federal Reserve System. Consumers and mobile financial services 2016. Federal Reserve Board, March, 2016. Accessed on 8/8/2018, Retrieved from https://www.federalreserve.gov/econresdata/consumers-and-mobile-financial-services-report-201603.pdf.
   Google Scholar
• Changchit C, Lonkani R, Sampet J. Mobile banking: exploring determinants of its adoption. J Organizational Comput Electron Commerce. 2017;27(3):239–61. doi:10.1080/10919392.2017.1332145.
   Web of Science ®Google Scholar
• Flavia´N C, Guinalı´U M. Consumer trust, perceived security and privacy policy: three basic elements of loyalty to a web site. Ind Manag Data Syst. 2006;106(5):601–20. doi:10.1108/02635570610666403.
   Web of Science ®Google Scholar
• Greenberg R, Wong-On-Wing B, Lui G. Culture and consumer trust in online businesses. J Global Inf Manag. 2008;16(3):26–44. doi:10.4018/JGIM.
   Web of Science ®Google Scholar
• Malaquias FF, Hwang Y. An empirical study on trust in mobile banking: a developing country perspective. Comput Human Behav. 2016;54:453–61. doi:10.1016/j.chb.2015.08.039.
   Web of Science ®Google Scholar
• Chung N, Kwon S. Effect of trust level on mobile banking satisfaction: a multi-group analysis of information system success instruments. Behav Inf Technol. 2009;28(6):549–62. doi:10.1080/01449290802506562.
   Web of Science ®Google Scholar
• Arpaci I. A comparative study of the effects of cultural differences on the adoption of mobile learning. Br J Educ Technol. 2015;46(4):699–712. doi:10.1111/bjet.12160.
   Web of Science ®Google Scholar
• Shin D-H, Choo H. Exploring cross‐cultural value structure with smartphone. J Global Inf Manag. 2012;20:67‐93. doi:10.4018/jgim.2012040104.
   Web of Science ®Google Scholar
• Bhatt A. Factors affecting customer’s adoption of mobile banking services. J Internet Banking Commerce. 2016;21:1–23.
   Google Scholar
• Gupta S, Yun H, Xu H, Kim H. An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: A scenario-based experiment. Inf Technol Dev. 2017;23(1):127–52. doi:10.1080/02681102.2016.1233855.
   Web of Science ®Google Scholar
• Statista. Number of mobile banking users in the United States from 2009 to 2016 (in millions). 2018 [accessed 2018 Aug 9]. https://www.statista.com/statistics/244411/number-of-mobile-banking-users-in-the-united-states/.
   Google Scholar
• Toplin J Mobile Banking is More Important than Ever. Business Insider. BI Intelligence, January 16, 2018.
   Google Scholar
• American Banker Association. ABA survey: online, mobile banking most popular with consumers. 2016 https://www.aba.com/Press/Pages/083016BankingPreference.aspx on8/8/2018.
   Google Scholar
• Nasri W, Charfeddine L. An exploration of facebook.com adoption in Tunisia using technology acceptance model and theory of reasoned action. Interdiscip J Contemp Res Business. 2012;4:948–69.
   Google Scholar
• Sreejesh S, Anusree MR, Mitra A. Effect of information content and form on customers’ attitude and transaction intention in mobile banking: moderating role of perceived privacy concern. Int J Bank Mark. 2016;34(7):1092–113. doi:10.1108/IJBM-07-2015-0107.
   Web of Science ®Google Scholar
• Mathew M, Sulphey MM, Prabhakaran J. Perceptions and intentions of customers towards mobile banking adoption. J Contemp Manag Res. 2014;8:83–101.
   Google Scholar
• Baptista G, Oliveira T. A weight and a meta-analysis on mobile banking acceptance research. Comput Human Behav. 2016;63:480–89. doi:10.1016/j.chb.2016.05.074.
   Web of Science ®Google Scholar
• Chaouali W, Souiden N, Ladhari R. Explaining adoption of mobile banking with the theory of trying, general self-confidence and cynicism. J Retailing Consumer Serv. 2017;35:56–67. doi:10.1016/j.jretconser.2016.11.009.
   Web of Science ®Google Scholar
• Yu CS. Factors affecting individuals to adopt mobile banking: empirical evidence from the UTAUT model. J Electron Commerce Res. 2012;13:104–21.
   Web of Science ®Google Scholar
• Al-Jabri IM, Sohail MS. Mobile banking adoption: application of diffusion of innovation theory. J Electron Commerce Res. 2012;13:379–91.
   Web of Science ®Google Scholar
• Hanafizadeh P, Behboudi M, Koshksaray AA, Jalilvand M, Tabar S. Mobile-banking adoption by Iranian bank clients. Telematics Inform. 2014;31(1):62–78. doi:10.1016/j.tele.2012.11.001.
   Web of Science ®Google Scholar
• Khraim HS, Al Shoubaki YE, Khraim AS. Factors affecting Jordanian consumers’ adoption of mobile banking services. Int J Business Soc Sci. 2011;2:96–105.
   Google Scholar
• Lin FH. An empirical investigation of mobile banking adoption: the effect of innovation attributes and knowledge-based trust. Int J Inf Manage. 2011;31(3):252–60. doi:10.1016/j.ijinfomgt.2010.07.006.
   Web of Science ®Google Scholar
• Alavi S, Ahuja V. An empirical segmentation of users of mobile banking apps. J Internet Commerce. 2016;15(4):390–407. doi:10.1080/15332861.2016.1252653.
   Web of Science ®Google Scholar
• Inegbedion HE. Factors that influence customers’ attitude toward electronic banking in Nigeria. J Internet Commerce. 2018:1–14. doi:10.1080/15332861.2018.1463482.
   Web of Science ®Google Scholar
• Kazi AK, Mannan MA. Factors affecting adoption of mobile banking in Pakistan: empirical evidence. Int J Res Business Soc Sci. 2013;2:54–61.
   Google Scholar
• AlSoufi A, Ali H. Customer’s perception of m-banking adoption in Kingdom of Bahrain: an empirical assessment of an extended TAM model. Int J Managing Inf Technol. 2014;6:1–13.
   Google Scholar
• Dasgupta S, Paul R, Fuloria S. Factors affecting behavioral intentions towards mobile banking usage: empirical evidence from India. Rom J Marketing. 2011;6:6–28.
   Google Scholar
• Song HL. Customer adoption of mobile banking: an integration of TAM with trust and social influence. Appl Mechanics Mater. 2015;701–702:1323–27. doi:10.4028/www.scientific.net/AMM.701-702.1323.
   Google Scholar
• Sripalawat J, Thongmak M, Ngramyarn A. M-banking in metropolitan Bangkok and a comparison with other countries. J Comput Inf Syst. 2015;51:67–76.
   Google Scholar
• Alalwan AA, Dwivedi YK, Rana NP. Factors influencing adoption of mobile banking by Jordanian bank customers: extending UTAUT2 with trust. Int J Inf Manage. 2017;37(3):99–110. doi:10.1016/j.ijinfomgt.2017.01.002.
   Web of Science ®Google Scholar
• Bhatiasevi V. An extended UTAUT model to explain the adoption of mobile banking. Inf Dev. 2015;32:1–16.
   Web of Science ®Google Scholar
• Oliveira T, Faria M, Thomas MA, Popovič A. Extending the understanding of mobile banking adoption: when UTAUT meets TTF and ITM. Int J Inf Manage. 2014;34(5):689–703. doi:10.1016/j.ijinfomgt.2014.06.004.
   Web of Science ®Google Scholar
• Statista. Number of Mobile Banking Users in the United States from 2009 to 2016 (in millions). Accessed 8/9/2018. 2018 https://www.statista.com/statistics/244411/number-of-mobile-banking-users-in-the-united-states/.
   Google Scholar
• Svilar A, Zupančič J. User experience with security elements in Internet and mobile banking. Organizacija. 2016;49(4):251–60. doi:10.1515/orga-2016-0022.
   Web of Science ®Google Scholar
• Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q. 2003;27(3):425–78. doi:10.2307/30036540.
   Web of Science ®Google Scholar
• Zhou T. Understanding users’ initial trust in mobile banking: an elaboration likelihood perspective. Comput Human Behav. 2012;28(4):1518–25. doi:10.1016/j.chb.2012.03.021.
   Web of Science ®Google Scholar
• Azad MAK. Predicting mobile banking adoption in Bangladesh: A neural network approach. Transnational Corporations Rev. 2016;8(3):207–14. doi:10.1080/19186444.2016.1233726.
   Web of Science ®Google Scholar
• Yu CS, Chantatub W. Consumers’ resistance to using mobile banking: evidence from Thailand and Taiwan. Int J Electron Commerce Stud. 2016;7(1):21–38. doi:10.7903/ijecs.1375.
   Google Scholar
• National Statistical Office of Thailand. The information and communication technology survey in household. 2016 http://web.nso.go.th/en/survey/ict/ict_house16.htm on8/6/18.
   Google Scholar
• Bank of Thailand. Use of mobile banking and internet banking. 2017 http://www2.bot.or.th/statistics/ReportPage.aspx?reportID=688&language=eng on 8/04/18.
   Google Scholar
• Namahoot K. Snae and tipparat laohavichien. quality management and trust of internet banking in Thailand. Int J Scientific Technol Res. 2015;4:257–62.
   Google Scholar
• Ackerman D, Tellis G. Can culture affect prices? a cross-cultural study of shopping and retail prices. J Retailing. 2001;77:57–82. doi:10.1016/S0022-4359(00)00046-4.
   Web of Science ®Google Scholar
• Matsumoto D. Psychology from a cultural perspective. CA: Brookes/Cole; 1994.
   Google Scholar
• Hofstede G. Culture’s consequences: International differences in work-related values. Beverly Hills (CA): Sage Publications; 1984.
   Google Scholar
• Gefen D, Heart T. On the need to include national culture as a central issue in E-commerce trust beliefs. J Global Inf Manag. 2006;14(4):1–30. doi:10.4018/JGIM.
   Web of Science ®Google Scholar
• Susanto A, Lee H, Zo H, Ciganek A. Factors affecting Internet banking success: A comparative investigation between Indonesia and South Korea. J Global Inf Manag. 2013;21(2):72–95. doi:10.4018/JGIM.
   Web of Science ®Google Scholar
• Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: A comparison of two theoretical models. Manage Sci. 1989;35(3):982–1003. doi:10.1287/mnsc.35.8.982.
   Google Scholar
• Forcht K. Computer security management. Boston (MA, United States): Boyd & Fraser; 1994.
   Google Scholar
• Roca JC, Garcia JJ, De la Vega JJ. The importance of perceived trust, security and privacy in online trading systems. Inf Manag Comput Security. 2009;17(2):96–113. doi:10.1108/09685220910963983.
   Google Scholar
• Islam S. Systematic literature review: security challenges of mobile banking and payments system. Int J U- E- Service, Sci Technol. 2014;7(6):107–16. doi:10.14257/ijunesst.
   Google Scholar
• Yenisey MM, Ozok AA, Salvendy G. Perceived security determinants in e-commerce among Turkish university students. Behav Inf Technol. 2005;24(4):259–74. doi:10.1080/0144929042000320992.
   Web of Science ®Google Scholar
• Weil D How secure is mobile banking? Wall Street J. 2018 March 18 [accessed 2018 Aug 8]. https://www.wsj.com/articles/how-secure-is-mobile-banking-1521424920.
   Google Scholar
• Hernandez JMC, Mazzon JA. Adoption of internet banking: proposition and implementation of an integrated methodology approach. Int J Bank Marketing. 2007;25(2):72–88. doi:10.1108/02652320710728410.
   Google Scholar
• Sprott DE, Spangenberg ER, Fisher R. The importance of normative beliefs to the self-prophecy effect. J Appl Psychol. 2003;88(3):423–31. doi:10.1037/0021-9010.88.3.423.
   PubMed Web of Science ®Google Scholar
• Tippins M, Sohi R. IT competency and firm performance: is organizational learning a missing link? Strategic Manag J. 2003;24:745–61. doi:10.1002/(ISSN)1097-0266.
   Web of Science ®Google Scholar
• Yang K. The effects of technology self-efficacy and innovativeness on consumer mobile data service adoption between American and Korean consumers. J Int Consumer Marketing. 2010;22(2):117–27. doi:10.1080/08961530903476147.
   Google Scholar
• Pikkarainen T, Pikkarainen K, Karjaluoto H, Pahnila S. Consumer acceptance of online banking: an extension of the technology acceptance model. Internet Res. 2014;14(3):224–35. doi:10.1108/10662240410542652.
   Google Scholar
• Nunnally JC, Bernstein IH. The Assessment of Reliability. Psychometric Theory. 1994;3:248–92.
   Google Scholar
• Laforet S, Li X. Consumers’ attitudes towards online and mobile banking in China. Int J Bank Marketing. 2005;23(5):362–80. doi:10.1108/02652320510629250.
   Google Scholar
• Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis: a global perspective. 7th. Upper Saddle River, New Jersey, USA: Prentice Hall; 2009.
   Google Scholar