Agarwal, 1997, The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies, Decision Sciences, 28, 557, 10.1111/j.1540-5915.1997.tb01322.x
Alves, 2006, Mobilidade e acessibilidade: conceitos e novas práticas, 55, 12
ANATEL – Agência Nacional De Telecomunicações, 2012
Assael, 1998
BACEN – Banco Central do Brasil, 2010
Bagozzi, 1999, Consumer resistance to, and acceptance of, innovations, Vol. 26, 218
Barbosa, 2013, As características competitivas que impactam a adoção de inovação: um estudo sobre sistemas de pagamentos móveis, Revista de Administração e Inovação, 10, 89
Bitner, 2001, Service and technology: Opportunities and paradoxes, Managing Service Quality, 11, 375, 10.1108/09604520110410584
Blackwell, 2008, Comportamento do Consumidor
Burnham, 2003, Consumer Switching Costs: A Typology, Antecedents and Consequences, Journal of the Academy of Marketing Science, 31, 109, 10.1177/0092070302250897
Chin, 1998, The partial least squares approach to structural equation modeling
Chong, 2013, Understanding mobile commerce continuance intentions: An empirical analysis of Chinese consumers, Journal of Computer Information Systems, 10.1080/08874417.2013.11645647
Coulter, 2003, Rethinking the origins of involvement and brand commitment: Insights from post socialist Central Europe, Journal of Consumer Research, 30, 151, 10.1086/376809
Dahlberg, 2008, Past, present and future of mobile payments research: A literature review, Electronic Commerce Research and Applications, 7, 165, 10.1016/j.elerap.2007.02.001
Davis, 1989, User acceptance of computer technology: Comparisons of two theoretical models, Management Science, 35, 982, 10.1287/mnsc.35.8.982
Diniz, 2011, Mobile money and payment: A literature review based on academic and practitioner
Engel, 1986
Featherman, 2003, Predicting e-services adoption: A perceived risk facets perspective, International Journal of Human-Computer Studies, 59, 451, 10.1016/S1071-5819(03)00111-3
Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 10.1177/002224378101800313
Gastal, 2005
Garfield, 2005, Acceptance of ubiquitous computing, Information Systems Management, 10.1201/1078.10580530/45520.22.4.20050901/90027.3
Gouveia, 2007
Gu, 2009, Determinants of behavioral intention to mobile banking, Expert Systems with Applications, 36, 1605
Hair, 2005
Hair, 2009
Henseler, 2009, The use of partial least squares path modeling in international marketing, Advances in International Marketing, 20, 277, 10.1108/S1474-7979(2009)0000020014
Howard, 1969
Im, 2011, An international comparison of technology adoption: Testing the UTAUT model, Information and Management, 48, 1, 10.1016/j.im.2010.09.001
Jarvenpaa, 2005, Managing the paradoxes of mobile technology, Information Systems Management, 22, 10.1201/1078.10580530/45520.22.4.20050901/90026.2
Karnouskos, 2004, Mobile payment: A journey through existing procedures and standardization initiatives, The Electronic Magazine of Original Peer-Reviewed Survey Articles, fourth quarter, 6, 44
Limeira, 2001
Lin, 2011, An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust, International Journal of Information Management, 31, 252, 10.1016/j.ijinfomgt.2010.07.006
Lu, 2011, Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective, Information & Management, 48, 393, 10.1016/j.im.2011.09.006
Luarn, 2005, Toward an understanding of the behavioral intention to use mobile banking, Computers in Human Behavior, 21, 873, 10.1016/j.chb.2004.03.003
Malhotra, 2001
Martins, 2014, Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application, International Journal of Information Management, 10.1016/j.ijinfomgt.2013.06.002
Oye, 2014, The history of UTAUT model and its impact on ICT acceptance and usage by academicians, Education and Information Technologies, 19, 251, 10.1007/s10639-012-9189-9
Overbr, 2014
Rao, 2007, Conceptual framework and propositions for the acceptance of mobile services, Journal of Theoretical and Applied Electronic Commerce Research, 2
Schiertz, 2010, Understanding consumer acceptance of mobile payment services: An empirical analysis, Eletronic Commerce Research and Applications, 9, 209, 10.1016/j.elerap.2009.07.005
Shafinah, 2013, Determinants of user behavior intention (BI) on mobile services: A preliminary view, Procedia Technology, 11, 127, 10.1016/j.protcy.2013.12.171
Silveira, 2012
Solomon, 2002
TELECO – Inteligência em telecomunicações, 2014
Venkatesh, 2000, Theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Science, 83, 33
Venkatesh, 2003, User acceptance of information technology: Toward a unified view, MIS Quarterly, 27, 425, 10.2307/30036540
Williams, 2011, Is UTAUT really used or just cited for the sake of it? A systematic review of citation of UTAUT's originating article
Yang, 2012, Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences e personal traits, Computers in Human Behavior, 28, 129, 10.1016/j.chb.2011.08.019
Zhang, 2012, A meta-analysis of mobile commerce adoption and the moderating effect of culture, Computers in Human Behavior, 28, 1902, 10.1016/j.chb.2012.05.008
Zhong, 2009, A comparison of mobile payment procedures in Finnish and Chinese markets, 79
Zhou, 2012, Examining location-based services usage from the perspectives of unified theory of acceptance and use of technology and privacy risk, Journal of Electronic Commerce Research, 13
Zhou, 2010, Integrating TTF and UTAUT to explain mobile banking user adoption, Computers in Human Behavior, 26, 760, 10.1016/j.chb.2010.01.013