24. Bandura, A. (1986). Social foundations of thought and action (pp. 5-107).
Englewood Cliffs, NJ: PrenticeHall.
25. Bandura, A., & Walters, R. H. (1963). Social learning and personality development.
26. Bankole, O., & Cloete, E. (2011). Mobile banking: A comparative study of South Africa and Nigeria: IEEE.
27. Chang, I.-C., Hwang, H.-G., Hung, M.-C., Lin, M.-H., & Yen, D. C. (2007). Factors affecting the adoption of electronic signature: Executives' perspective of hospital information department. Decision support systems, 44(1), 350-359.
28. Chau, P. Y., & Lai, V. S. (2003). An empirical investigation of the determinants of user acceptance of internet banking. Journal of organizational computing and electronic commerce, 13(2), 123-145.
29. Cheng, T. C. E., Lam, D. Y. C., & Yeung, A. C. L. (2006). Adoption of internet banking: An empirical study in Hong Kong. Decision support systems, 42(3), 1558-1572. doi:https://doi.org/10.1016/j.dss.2006.01.002
30. Cohen, S. (1988). Perceived stress in a probability sample of the United States.
31. Committee on Communication for Behavior Change in the 21st Century (2002). Improving the Health of Diverse Populations.
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32. Crabbe, M., Standing, C., Standing, S., & Karjaluoto, H. (2009). An adoption model for mobile banking in Ghana. International Journal of Mobile Communications, 7(5), 515-543.
33. Cronin Jr, J. J., & Taylor, S. A. (1992). Measuring service quality: a reexamination and extension. The journal of marketing, 55-68.
34. Daniel, E. (1999). Who dares wins? On-line banking services and innovation types. In: Hackney, R. (Ed.). Proceedings of ninth annual business information technology conference, Paper no. 34. November 3–4, Manchester,
UK.
35. Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts Institute of Technology,
36. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
37. 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), 982-1003.
38. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132.
39. Ejye Omar, O., & Owusu-Frimpong, N. (2007). Life insurance in Nigeria: An application of the theory of reasoned action to consumers' attitudes and purchase intention. The Service Industries Journal, 27(7), 963-976.
40. F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.
41. Fishbein, M. (1967). Attitude and the prediction of behavior. Readings in attitude theory and measurement, 477-492.
42. Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388.
43. Grönroos, C. J. E. J. o. m. (1984). A service quality model and its marketing implications. 18(4), 36-44.
44. Grover, V. (1993). An empirically derived model for the adoption of customer‐ based interorganizational systems. Decision sciences, 24(3), 603-
640.
45. 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.
46. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. 1998. Upper Saddle River.
47. Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
48. Hawkins, D., Best, R. J., & Coney, K. A. J. I., Chicago. (1995). Consumer Behaviour-Implications for Marketing Strategy, 1995.
49. Henry, A. (2008). Understanding strategic management: Oxford University Press, USA.
50. Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural equation modeling: a multidisciplinary journal, 17(1), 82-109.
51. Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing (pp. 277-319): Emerald Group Publishing Limited.
52. Hsu, C.-L., Wang, C.-F., & Lin, J. C.-C. (2011). Investigating customer adoption behaviours in mobile financial services. International Journal of Mobile Communications, 9(5), 477-494.
53. Hulland, J., Chow, Y. H., & Lam, S. (1996). Use of causal models in marketing research: A review. nternational journal of research in marketing, 13(2), 181-197.
54. Intan Salwani, M., Marthandan, G., Daud Norzaidi, M., Choy Chong, S. J.
I. M., & Security, C. (2009). E-commerce usage and business performance in the Malaysian tourism sector: empirical analysis. 17(2), 166-185.
55. Jamal, A., & Naser, K. J. I. j. o. b. m. (2002). Customer satisfaction and retail banking: an assessment of some of the key antecedents of customer satisfaction in retail banking. 20(4), 146-160.
56. Johns, R. (2010). Survey question bank: Methods Fact Sheet 1, Likert items and scales. University of Strathclyde, 1, 1-11.
57. Khater, A., & Rashed, N. (2017). A model of a private sector organisation's intention to adopt cloud computing in the Kingdom of Saudi Arabia. University of Southampton,
58. Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283-311.
59. Koenig-Lewis, N., Palmer, A., & Moll, A. (2010). Predicting young consumers' take up of mobile banking services. International Journal of Bank Marketing, 28(5), 410-432.
60. Kotler, P. (2001). Marketing Management, 10: Pearson Education Canada.
61. Kurnia, S. (2008). Exploring e-commerce readiness in China: The case of the grocery industry. Paper presented at the Hawaii International Conference on System Sciences, Proceedings of the 41st Annual.
62. Lee, H., Lee, Y., & Yoo, D. (2000). The determinants of perceived service quality and its relationship with satisfaction. Journal of services marketing, 14(3), 217-231.
63. 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.
64. Li, Z., & Bai, X. (2011). An Empirical Study of the Influencing Factors of
User Adoption on Mobile Securities Services. JSW, 6(9), 1696-1704.
65. Lifen Zhao, A., Hanmer-Lloyd, S., Ward, P., & Goode, M. M. (2008). Perceived risk and Chinese consumers' internet banking services adoption. International Journal of Bank Marketing, 26(7), 505-525.
66. Lin, H.-F. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International journal of information management, 31(3), 252-260.
67. Lu, M.-t., Liu, C.-h., Jing, J., & Huang, L. (2005). Internet banking: strategic responses to the accession of WTO by Chinese banks. Industrial Management Data Systems, 105(4), 429-442.
68. Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi- dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision support systems, 49(2), 222-234.
69. Mattila, M., Karjaluoto, H., & Pento, T. (2003). Internet banking adoption among mature customers: early majority or laggards? Journal of services marketing, 17(5), 514-528.
70. Mattsson, J. (1995). Service Management: A Holistic, Multi-disciplinary and Customer-driven Research Agenda. New Zealand Journal of Business, 17(2), 1.
71. Miller, N. E., & Dollard, J. (1941). Social learning and imitation.
72. Muhammad Siddique (2014). A Theoretical Review of the Factors Affecting Customer-Acceptance of eBanking. Marketing Management, Vol 69.
73. Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The Journal of High Technology Management Research, 23(1), 1-14.
74. Noor, M. M. (2011). Determining critical success factors of mobile banking adoption in Malaysia. Australian Journal of Basic and Applied Sciences, 5(9), 252-265.
75. Nunnally, J. C., & Bernstein, I. H. J. P. t. (1994). The theory of measurement error. 3, 209-247.
76. Oliver, R. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 460-469.
77. Pavlou, P. A., (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7(3), 69-103.
78. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. The journal of marketing, 41-50.
79. Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet research, 14(3), 224-235.
80. Preston, C. C., & Colman, A. M. (2000). Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent preferences. Acta psychologica, 104(1), 1-15.
81. Purwanegara, M., Apriningsih, A., & Andika, F. (2014). Snapshot on Indonesia regulation in mobile internet banking users attitudes. Procedia- Social and Behavioral Sciences, 115, 147-155.
82. Rahi, S., Ghani, M. A., & Alnaser, F. M. (2017). The Influence of E- Customer Services and Perceived Value on Brand Loyalty of Banks and Internet Banking Adoption: A Structural Equation Model (SEM). The Journal of Internet Banking and Commerce, 22(1), 1-18.
83. Raleting, T., & Nel, J. (2011). Determinants of low-income non-users
attitude towards WIG mobile phone banking: Evidence from South Africa.
African Journal of Business Management, 5(1), 212-223.
84. Raykov, T., & Widaman, K. F. (1995). Issues in applied structural equation modeling research. Structural equation modeling: a multidisciplinary journal, 2(4), 289-318.
85. Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. International Journal of Bank Marketing, 28(5), 328-341.
86. Rogers, E. M. (1962). Diffusion of innovations: Simon and Schuster.
87. Fiordelisi, F. (2009). M&A of Financial Institutions: Literature Review. In Mergers and Acquisitions in European Banking (pp. 85-106). Palgrave Macmillan, London.
88. 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.
89. Schumaker, R. E., & Lomax. (2004). A beginner’s guide to structural equation modeling.
90. Scupola, A. J. J. o. G. I. T. M. (2003). The adoption of Internet commerce by SMEs in the south of Italy: An environmental, technological and organizational perspective. 6(1), 52-71.
91. Semir Ibrahimović, Lejla Turulja, Nijaz Bajgorić (2017). Maximizing Information System Availability Through Bayesian Belief Network Approaches: Emerging Research and Opportunities. Information Science Reference.
92. Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129-142.
93. Sherah, K., Fei, P., & Yi, R. (2010). Understanding the adoption of
electronic banking in China. Journal of Internet Banking Commerce, 12(3), 38- 57.
94. Spreng, R. A., & Mackoy, R. D. J. J. o. r. (1996). An empirical examination of a model of perceived service quality and satisfaction. 72(2), 201-214.
95. Stockdale, R., Standing, C. J. J. o. s. b., & development, e. (2006). A classification model to support SME e-commerce adoption initiatives. 13(3), 381-394.
96. Suh, B., & Han, I. (2003). Effect of trust on customer acceptance of Internet banking. Electronic Commerce research and applications, 1(3), 247-263.
97. Tan, K. S., Chong, S. C., Loh, P. L., & Lin, B. (2010). An evaluation of e- banking and m-banking adoption factors and preference in Malaysia: a case study. International Journal of Mobile Communications, 8(5), 507-527.
98. Taylor, S., & Todd, P. (1995a). Assessing IT usage: The role of prior experience. MIS quarterly, 561-570.
99. Taylor, S., & Todd, P. (1995b). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International journal of research in marketing, 12(2), 137-155.
100. Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS quarterly, 125-143.
101. Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. (1990). The processes of technological innovation. Issues in organization and management series. exington Books. Available at http://www. amazon. com/Processes- Technological-Innovation-Organization/Management/dp/0669203483. Accessed June, 10, 2013.
102. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.