A Framework of Mobile Banking Adoption in India

Dass, 2010

Yu, 2015, Building trust in internet banking: A trustworthiness perspective, Ind. Manag. Data Syst., 115, 235, 10.1108/IMDS-09-2014-0262

Barnes, 2003, Mobile banking: Concept and potential, Int. J. Mob. Commun., 1, 273, 10.1504/IJMC.2003.003494

Polasik, 2009, Empirical analysis of internet banking adoption in Poland, Int. J. Bank Mark., 27, 32, 10.1108/02652320910928227

Durkin, 2007, On e-banking adoption: From banker perception to customer reality, J. Strat. Mark., 15, 237, 10.1080/09652540701318815

Martins, 2014, Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application, Int. J. Inf. Manag., 34, 1, 10.1016/j.ijinfomgt.2013.06.002

Poddar, 2016, 1

Kesharwani, 2012, The impact of trust and perceived risk on internet banking adoption in India, Int. J. Bank Mark., 30, 303, 10.1108/02652321211236923

Shankar, 2016, Factors affecting mobile banking adoption behavior in India, J. Internet Bank. Commer., 21, 1

Davis, 1989, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, Mis Q., 13, 319, 10.2307/249008

Davis, 1989, User acceptance of computer technology: A comparison of two theoretical models, Manag. Sci., 35, 982, 10.1287/mnsc.35.8.982

Rogers, 1962, Methods of Measuring Opinion Leadership, Public Opin. Q., 26, 435, 10.1086/267118

Venkatesh, 2003, User acceptance of information technology: Toward a unified view, Mis Q., 27, 425, 10.2307/30036540

Goodhue, 1995, Task-Technology Fit and Individual Performance, Mis Q., 19, 213, 10.2307/249689

Ajzen, 2011, The theory of planned behaviour: Reactions and reflections, Psychol. Heal., 26, 1113, 10.1080/08870446.2011.613995

Delone, 1992, Information Systems Success: The Quest for the Dependent Variable, Inf. Syst. Res., 3, 60, 10.1287/isre.3.1.60

Hill, 1977, Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Contemp. Sociol. A J. Rev., 6, 244, 10.2307/2065853

Fishbein, 1980

Chauhan, 2016, Determinants of acceptance of ERP software training in business schools: Empirical investigation using UTAUT model, Int. J. Manag. Educ., 14, 248, 10.1016/j.ijme.2016.05.005

Kumar, 2017, Extending the TAM Model: Intention of Management Students to Use Mobile Banking: Evidence from India, Glob. Bus. Rev., 18, 238, 10.1177/0972150916666991

Hu, 1999, Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology, J. Manag. Inf. Syst., 16, 91, 10.1080/07421222.1999.11518247

Teo, 2009, Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM), Comput. Educ., 53, 1000, 10.1016/j.compedu.2009.05.017

Klopping, 2004, Extending the technology acceptance model and the task-technology fit model to consumer e-commerce, Inf. Technol. Learn. Perform. J., 22, 35

Rauniar, 2014, Technology acceptance model (TAM) and social media usage: An empirical study on Facebook, J. Enterp. Inf. Manag., 27, 6, 10.1108/JEIM-04-2012-0011

Wu, 2017, Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model, Comput. Hum. Behav., 67, 221, 10.1016/j.chb.2016.10.028

Lule, 2012, Application of technology acceptance model (TAM) in m-banking adoption in Kenya, Int. J. Comput. Ict Res., 6, 31

Priya, 2018, Mobile banking adoption in an emerging economy, Benchmark. Int. J., 25, 743, 10.1108/BIJ-01-2016-0009

Silva, 2007, University of Houston Post-positivist Review of Technology Acceptance Model, J. Assoc. Inf. Syst., 8, 255

Chandio, 2017, Citizens’ Acceptance and Usage of Electronic-Government Services: A Conceptual Model of Trust and Technological Factors, Sindh Univ. Res. J. Sci. Ser., 49, 665

Muñoz-Leiva, 2017, Determinants of intention to use the mobile banking apps: An extension of the classic TAM model, Span. J. Mark. Esic, 21, 25, 10.1016/j.sjme.2016.12.001

Tan, 2016, Behavioural intention to adopt mobile banking among the millennial generation, Young Consum., 17, 18, 10.1108/YC-07-2015-00537

Donner, 2008, Mobile banking and economic development: Linking adoption, impact, and use, Asian J. Commun., 18, 318, 10.1080/01292980802344190

Bankole, 2011, Mobile Banking Adoption in Nigeria, Electron. J. Inf. Syst. Dev. Ctries., 47, 1, 10.1002/j.1681-4835.2011.tb00330.x

Alalwan, 2017, Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust, Int. J. Inf. Manag., 37, 99, 10.1016/j.ijinfomgt.2017.01.002

Yousafzai, 2010, Explaining Internet Banking Behavior: Theory of Reasoned Action, Theory of Planned Behavior, or Technology Acceptance Model?, J. Appl. Soc. Psychol., 40, 1172, 10.1111/j.1559-1816.2010.00615.x

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

Oliveira, 2014, Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM, Int. J. Inf. Manag., 34, 689, 10.1016/j.ijinfomgt.2014.06.004

Sharma, 2017, Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling, Inf. Syst. Front., 21, 815, 10.1007/s10796-017-9775-x

Singh, 2020, Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence, Int. J. Inf. Manag., 50, 191, 10.1016/j.ijinfomgt.2019.05.022

Laforet, 2005, Consumers’ attitudes towards online and mobile banking in China, Int. J. Bank Mark., 23, 362, 10.1108/02652320510629250

Ainin, 2007, An overview of mobile banking adoption among the urban community, Int. J. Mob. Commun., 5, 157, 10.1504/IJMC.2007.011814

Laukkanen, 2007, Customer preferred channel attributes in multi-channel electronic banking, Int. J. Retail. Distrib. Manag., 35, 393, 10.1108/09590550710743744

Gu, 2009, Determinants of behavioral intention to mobile banking, Expert Syst. Appl., 36, 11605, 10.1016/j.eswa.2009.03.024

Akturan, 2012, Mobile banking adoption of the youth market, Mark. Intell. Plan., 30, 444, 10.1108/02634501211231928

Aboelmaged, 2013, Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior, Int. J. Bus. Res. Dev., 2, 35, 10.24102/ijbrd.v2i1.263

Chawla, 2017, Consumer perspectives about mobile banking adoption in India—A cluster analysis, Int. J. Bank Mark., 35, 616, 10.1108/IJBM-03-2016-0037

Gupta, 2017, An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: A scenario-based experiment, Inf. Technol. Dev., 23, 127, 10.1080/02681102.2016.1233855

Sharma, 2017, A multi-analytical model for mobile banking adoption: A developing country perspective, Rev. Int. Bus. Strat., 27, 133, 10.1108/RIBS-11-2016-0074

Boonsiritomachai, 2017, Determinants affecting mobile banking adoption by generation Y based on the Unified Theory of Acceptance and Use of Technology Model modified by the Technology Acceptance Model concept, Kasetsart J. Soc. Sci., 10.1016/j.kjss.2017.10.005

Singh, 2018, Predicting the intention to use mobile banking in India, Int. J. Bank Mark., 36, 357, 10.1108/IJBM-12-2016-0186

Lee, 2009, An exploratory study on factors affecting usage intention toward mobile banking: A unified perspective using structural equation modeling, Soc. Mark. Adv. Proc., 347

Yi, 2006, Understanding information technology acceptance by individual professionals: Toward an integrative view, Inf. Manag., 43, 350, 10.1016/j.im.2005.08.006

Venkatesh, 2012, Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology, Mis Q., 36, 157, 10.2307/41410412

Agarwal, 1998, A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology, Inf. Syst. Res., 9, 204, 10.1287/isre.9.2.204

Yiu, 2007, Factors affecting the adoption of Internet Banking in Hong Kong—Implications for the banking sector, Int. J. Inf. Manag., 27, 336, 10.1016/j.ijinfomgt.2007.03.002

Kim, 2010, An empirical examination of factors influencing the intention to use mobile payment, Comput. Hum. Behav., 26, 310, 10.1016/j.chb.2009.10.013

Xu, 2009, The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services, Electron. Mark., 19, 137, 10.1007/s12525-009-0012-4

Chong, 2012, Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia, Decis. Support. Syst., 53, 34, 10.1016/j.dss.2011.12.001

Al-Somali, 2009, An investigation into the acceptance of online banking in Saudi Arabia, Technovation, 29, 130, 10.1016/j.technovation.2008.07.004

Teo, 2012, Can the demographic and subjective norms influence the adoption of mobile banking?, Int. J. Mob. Commun., 10, 578, 10.1504/IJMC.2012.049757

Mutahar, 2018, The Mediating of Perceived Usefulness and Perceived Ease of Use, Int. J. Technol. Diffus., 9, 21, 10.4018/IJTD.2018040102

Abushanab, 2007, Internet banking in Jordan, J. Syst. Inf. Technol., 9, 78, 10.1108/13287260710817700

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

Morgan, 1994, Relationship marketing in the era of network competition, Mark. Manag., 3, 18

Li, 2010, Increasing trust in mobile commerce through design aesthetics, Comput. Hum. Behav., 26, 673, 10.1016/j.chb.2010.01.004

Hu, 2019, Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model, Symmetry, 11, 10.3390/sym11030340

Kramer, 1999, Trust and distrust in organizations: Emerging Perspectives, Enduring Questions, Annu. Rev. Psychol., 50, 569, 10.1146/annurev.psych.50.1.569

Sharma, 2019, Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation, Int. J. Inf. Manag., 44, 65, 10.1016/j.ijinfomgt.2018.09.013

Kwateng, 2019, Acceptance and use of mobile banking: An application of UTAUT2, J. Enterp. Inf. Manag., 32, 118, 10.1108/JEIM-03-2018-0055

Shankar, 2018, Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective, Glob. Bus. Rev., 19, S72, 10.1177/0972150918757870

Bauer, 2005, Driving consumer acceptance of mobile marketing: A theoretical framework and empirical study, J. Electron. Commer. Res., 6, 181

Taylor, 1995, Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions, Int. J. Res. Mark., 12, 137, 10.1016/0167-8116(94)00019-K

Pavlou, 2003, Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model, Int. J. Electron. Commer., 7, 101, 10.1080/10864415.2003.11044275

Henseler, 2009, The use of partial least squares path modeling in international marketing, 277

Kline, 2010, Promise and pitfalls of structural equation modeling in gifted research, 147

Hair, 2006

Chin, 1998, Commentary: Issues and opinion on structural equation modeling, MIS Q., 22, 7

Ramayah, 2004, Role of self-efficacy in e-library usage among students of a public university in Malaysia, Malays. J. Libr. Inf. Sci., 9, 39

Zhang, 2016, User acceptance of mobile health services from users’ perspectives: The role of self-efficacy and response-efficacy in technology acceptance, Inform. Heal. Soc. Care, 42, 194, 10.1080/17538157.2016.1200053

Gumussoy, 2017, Determinants of Mobile Banking Use: An Extended TAM with Perceived Risk, Mobility Access, Compatibility, Perceived Self-efficacy and Subjective Norms, 225

Silic, 2018, The effects of the elaboration likelihood model on initial trust formation in financial advisory services, Int. J. Bank Mark., 36, 572, 10.1108/IJBM-02-2017-0038

Apanasevic, 2016, Stakeholders’ expectations of mobile payment in retail: Lessons from Sweden, Int. J. Bank Mark., 34, 37, 10.1108/IJBM-06-2014-0064

Zhou, 2011, An empirical examination of initial trust in mobile banking, Internet Res., 21, 527, 10.1108/10662241111176353

Miltgen, 2013, Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context, Decis. Support. Syst., 56, 103, 10.1016/j.dss.2013.05.010

Venkatesh, 2000, A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Manag. Sci., 46, 186, 10.1287/mnsc.46.2.186.11926