Factors affecting the behavioral intention to adopt mobile banking: An international comparison

Amin, 2007 Ricknäs, 2010 Anyasi, 2009 Luarn, 2005, Toward an understanding of the behavioral intention to use mobile banking, Comput. Hum. Behav., 21, 873, 10.1016/j.chb.2004.03.003 Tan, 2000, Factors influencing the adoption of internet banking, J. Assoc. Inf. Syst. Online, 1, 1 Saeed, 2020, Understanding diffusion of information systems-based services: evidence from mobile banking services, Internet Res., 30, 1281, 10.1108/INTR-01-2019-0008 Alalwan, 2017, Factors influencing adoption of mobile banking by Jordanian bank customers: extending UTAUT2 with trust: SSIS, Int. J. Inf. Manag., 37, 99, 10.1016/j.ijinfomgt.2017.01.002 Ali Abdallah, 2016, Consumer adoption of mobile banking in Jordan, J. Enterprise Inf. Manag., 29, 118, 10.1108/JEIM-04-2015-0035 Püschel, 2010, Mobile banking: proposition of an integrated adoption intention framework, Int. J. Bank Market., 28, 389, 10.1108/02652321011064908 Lai, 2010, Examining internet banking acceptance: a comparison of alternative technology adoption models, Int. J. Electron. Bus., 8, 51, 10.1504/IJEB.2010.030716 Im, 2011, An international comparison of technology adoption: testing the UTAUT model, Inf. Manag., 48, 1, 10.1016/j.im.2010.09.001 Rahi, 2019, Integration of UTAUT model in internet banking adoption context: an International Journal, J. Res. Indian Med., 13, 411 Patsiotis, 2012, Adopters and non-adopters of internet banking: a segmentation study, Int. J. Bank Market., 30, 20, 10.1108/02652321211195686 Alsajjan, 2010, Internet banking acceptance model: crossmarket examination, J. Bus. Res., 63, 957, 10.1016/j.jbusres.2008.12.014 Nor, 2007, The influence of trust on internet banking acceptance, J. Internet Bank. Commer., 12, 1 Frimpong, 2020, A cross-national investigation of trait antecedents of mobile-banking adoption, Thunderbird Int. Bus. Rev., 62, 411, 10.1002/tie.22132 Alsaleh, 2019, Cross-cultural differences in the adoption of social media, J. Res. Indian Med., 13, 119 Chiu, 2015, Service innovation and usage intention: a cross-market analysis, Journal of Service Management, 26, 516, 10.1108/JOSM-10-2014-0274 Blake, 2007, The online shopping profile in the cross-national context: the roles of innovativeness and perceived innovation newness, J. Int. Consum. Market., 19, 23, 10.1300/J046v19n03_03 Rogers, 1983 Davis, 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Q., 13, 319, 10.2307/249008 Taylor, 1995, Understanding information technology usage: a test of competing models, Inf. Syst. Res., 6, 144, 10.1287/isre.6.2.144 Pham, 2015, The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments, Technol. Soc., 43, 159, 10.1016/j.techsoc.2015.05.004 Lin, 2011, An empirical investigation of mobile banking adoption: the effect of innovation attributes and knowledge-based trust, Int. J. Inf. Manag., 31, 252, 10.1016/j.ijinfomgt.2010.07.006 Luo, 2010, Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: an empirical study of mobile banking services, Decis. Support Syst., 49, 222, 10.1016/j.dss.2010.02.008 Al-Jabri, 2012, Mobile banking adoption: application of diffusion of innovation theory, J. Electron. Commer. Res., 13, 379 Malaquias, 2020, Understanding the use of mobile banking in rural areas of Brazil, Technol. Soc., 62, 10.1016/j.techsoc.2020.101260 Parveen, 2008, Technology complexity, personal innovativeness and intention to use wireless internet using mobile devices in Malaysia, International Review of Business Research Papers, 4, 1 AL-Majali, 2011, The use of theory reasoned of action to study information technology in Jordan, J. Internet Bank. Commer., 16, 1 Agarwal, 1997, The role of innovation characteristics. and perceived voluntariness in the acceptance of information technogies, Decis. Sci. J., 28, 557, 10.1111/j.1540-5915.1997.tb01322.x Karahanna, 1999, Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS Q., 23, 183, 10.2307/249751 Kleijnen, 2004, Consumer adoption of wireless services: discovering the rules while playing the game, J. Interact. Market., 18, 51, 10.1002/dir.20002 Lee, 2003, Using ZMET to explore barriers to the adoption of 3G mobile banking services, Int. J. Retail Distrib. Manag., 31, 340, 10.1108/09590550310476079 Suh, 2003, The impact of customer trust and perception of security control on the acceptance of electronic commerce, Int. J. Electron. Commer., 7, 135, 10.1080/10864415.2003.11044270 Gupta, 2010, Examining the relative influence of risk and control on intention to adopt risky technologies, J. Technol. Manag. Innovat., 5, 22, 10.4067/S0718-27242010000400003 Sweeney, 1999, The role of perceived risk in the quality-value relationship: a study in a retail environment, J. Retailing, 75, 77, 10.1016/S0022-4359(99)80005-0 Curran, 2005, Self-service technology adoption: comparing three technologies, J. Serv. Market., 19, 103, 10.1108/08876040510591411 Wessels, 2009, An investigation of consumer acceptance of M-banking in Australia, 1 AL-Majali, 2011, Modeling the antecedents of internet banking service adoption (IBSA) in Jordan: a Structural Equation Modeling (SEM) approach, J. Internet Bank. Commer., 16, 1 Moore, 1991, Development of an instrument to measure the perceptions of adopting an information technology innovation, Inf. Syst. Res., 2, 192, 10.1287/isre.2.3.192 Echchabi, 2011, Online banking prospects in Morocco: an extension of technology acceptance model, J. Internet Bank. Commer., 16, 1 Hung, 2005, User acceptance of WAP services: test of competing theories, Comput. Stand. Interfac., 27, 359, 10.1016/j.csi.2004.10.004 Raleting, 2011, Determinants of low-income non-users' attitude towards WIG mobile phone banking: evidence from South Africa, Afr. J. Bus. Manag., 5, 212 Fishbein, 1975 Ajzen, 1991, The theory of planned behavior, Organ. Behav. Hum. Decis. Process., 50, 179, 10.1016/0749-5978(91)90020-T Ajzen, 1985, From intentions to actions: a theory of planned behavior, 11 Cheng, 2011, An integrated model of employees' behavioral intention toward innovative information and communication technologies in travel agencies, J. Hospit. Tourism Res., 35, 488, 10.1177/1096348010384598 Compeau, 1995, Computer self-efficacy: development of a measure and initial test, MIS Q., 19, 189, 10.2307/249688 Triandis, 1979, Values, attitudes, and interpersonal behavior, 195 Beiginia, 2011, Assessing the mobile banking adoption based on the decomposed theory of planned behaviour, Eur. J. Econ. Finance Adm. Sci., 7 Agarwal, 1998, The antecedents and consequents of user perceptions in information technology adoption, Decis. Support Syst., 22, 15, 10.1016/S0167-9236(97)00006-7 Yang, 2012, Mobile payment services adoption across time: an empirical study of the effects of behavioral beliefs, social influences, and personal traits, Comput. Hum. Behav., 28, 129, 10.1016/j.chb.2011.08.019 Lu, 2003, Technology acceptance model for wireless Internet, Internet Res., 13, 206, 10.1108/10662240310478222 Cheah, 2011, Factors affecting Malaysian mobile banking adoption: an empirical analysis, International Journal of Network and Mobile Technologies, 2, 149 Herrero Crespo, 2008, The effect of innovativeness on the adoption of B2C e-commerce: a model based on the Theory of Planned Behaviour, Comput. Hum. Behav., 24, 2830, 10.1016/j.chb.2008.04.008 Fornell, 1981, Evaluating structural equations models with unobservable variables and measurement error: algebra and Statistics, J. Market. Res., 18, 382, 10.1177/002224378101800313 Ifinedo, 2006, Acceptance and continuance intention of web-based learning technologies (WLT) use among university students in a Baltic country, Electron. J. Inf. Syst. Dev. Ctries., 23, 1, 10.1002/j.1681-4835.2006.tb00151.x Hair, 2006 Hooper, 2008, Structural equation modelling: guidelines for determining model fit, Electron. J. Bus. Res. Methods, 6, 53 Karin, 2003, Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures, Methods of Psychological Research, 8, 23 Kline, 2005 Hu, 1999, Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives, Struct. Equ. Model., 6, 1, 10.1080/10705519909540118 MacCallum, 1996, Power analysis and determination of sample size for covariance structure modeling, Psychol. Methods, 1, 130, 10.1037/1082-989X.1.2.130 McQuitty, 2004, Statistical power and structural equation models in business research, J. Bus. Res., 57, 175, 10.1016/S0148-2963(01)00301-0 Rogers, 2003 Brown, 2003, Cell phone banking: predictors of adoption in South Africa—an exploratory study, Int. J. Inf. Manag., 23, 381, 10.1016/S0268-4012(03)00065-3 Davis, 1993, User acceptance of information technology: system characteristics, user perceptions and behavioral impacts, Int. J. Man Mach. Stud., 38, 475, 10.1006/imms.1993.1022 Švarc, 2019, Regional innovation culture in innovation laggard: a case of Croatia, Technol. Soc., 58, 10.1016/j.techsoc.2019.03.006 Haapaniemi, 2008, Moderating effect of national attributes and the role of cultural dimensions in technology adoption takeoff, Manag. Res. News, 32, 5, 10.1108/01409170910921998