Leveraging digital payment adoption experience to advance the development of digital-only (neo) banks: Role of trust, risk, security, and green concern
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The neobanking and Banking as a Service (BaaS) model implementation by financial service organizations and FinTech firms require wide-ranging acceptance of digital payment systems. Given the development of digital-only (neo) banking at nascent stages, especially in developing economies, there is a need to understand their potential adoption by the customers. In this article, we investigate antecedents to customer's intention to adopt digital-only banks based on their adoption experience with the existing digital payment platforms. From a novel perspective on digital-only banking, this research advances the extant literature on digital financial services by synergistically combining the unified theory of acceptance and use of technology theory and the factors namely attitude, trust, risk, security, and green concern. The structural equation model based on a cross-sectional sample found that the behavioral intention to adopt digital-only banks is significantly influenced by effort expectancy, hedonic motivation, performance expectancy, and social influence, in addition to attitude, trust, perceived risk, perceived security, and green concern. This study adds to the growing theoretic debate in the field by stressing the significance of examining given contextual factors in addition to previously established theories for studying purely digital services. The managers can draw upon the findings for leading the way to the wide-ranging implementation of BaaS.
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Once trust in system integrity and in governance is established, the marginal effect of individual risk sensitivity diminishes.
“Their findings suggest that once trust in system integrity and in governance is established, the marginal effect of individual risk sensitivity diminishes.”
From Institutional Trust, Risk-Taking, and FinTech Adoption: Evidence from an Emerging Economy (2026) · cites this paper as [62]
The Discussion of Results (p. unavailable) reports that trust and security favor adoption and that perceived risk has a significant negative association with adoption intention. It does not report that establishing trust in system integrity or governance diminishes the marginal effect of risk sensitivity; governance is not addressed in the cited passages. (LLM, conf=0.78)
Experimental — accuracy not yet measuredTrust, security perceptions, and perceived risk form a combined decision-making system and are not independent predictors.
“Taneja et al. [62] offer strong evidence in their research on digital payments and neobanks that trust, security perceptions, and perceived risk form a combined decision-making system and are not independent predictors.”
From Institutional Trust, Risk-Taking, and FinTech Adoption: Evidence from an Emerging Economy (2026) · cites this paper as [62]
The Discussion of Results reports that perceived risk and perceived security both predict trust, while trust influences adoption-related attitudes and intentions. It also reports separate direct effects of risk and security on behavioural intention, so the claim that they are ‘not independent predictors’ overstates the findings. Our copy provides no page numbers for these passages. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe influence of institutional and financial trust on the adoption of FinTech behaviors is predominant over personality-based risk tendencies.
“According to the findings of previous studies, the influence of institutional and financial trust on the adoption of FinTech behaviors is predominant over personality-based risk tendencies [62].”
From Institutional Trust, Risk-Taking, and FinTech Adoption: Evidence from an Emerging Economy (2026) · cites this paper as [62]
The Discussion of Results (page unavailable) identifies trust as the strongest predictor of intention to adopt digital-only banks and reports a significant negative association between perceived risk and adoption intention. It does not distinguish institutional from financial trust or compare trust with personality-based risk tendencies; its risk measure concerns perceived uncertainty and potential loss when using the services. (LLM, conf=0.85)
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314 · see citing works
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190 · see citing works
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941 · see citing works
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc.v1i1.3787 · Cited by 39,065 · see citing works
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737 · see citing works
(1980) · Medical Entomology and Zoology · Cited by 25,810 · see citing works
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709 · see citing works
A primer on partial least squares structural equation modeling (PLS-SEM)
Leguina, A. (2015) · International Journal of Research & Method in Education · doi:10.1080/1743727x.2015.1005806 · Cited by 18,921 · see citing works
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756 · see citing works
Back-translation for cross-cultural research.
Brislin, R. W. (1970) · Journal of Cross-Cultural Psychology · doi:10.1177/135910457000100301 · Cited by 14,091 · see citing works
Multivariate data analysis : a global perspective
Hair, J. F. (2010) · Cited by 12,258 · see citing works
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390 · see citing works
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635 · see citing works
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace <sup>1</sup>
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231 · cited 1× · see citing works
“” Earlier conceptualized as perceived enjoyment, it is considered to provide an intrinsic stimulus for using a new technology [24].”
BackgroundReliability and Validity Assessment
Carmines, E., & Zeller, R. (1979) · doi:10.4135/9781412985642 · Cited by 5,884 · see citing works
Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991) · Journal of Marketing Research · doi:10.1177/002224379102800305 · Cited by 5,853 · see citing works
Personal Computing: Toward a Conceptual Model of Utilization1
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991) · MIS Quarterly · doi:10.2307/249443 · Cited by 3,814 · see citing works
Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead
University of Arkansas, Venkatesh, V., Thong, J., Hong Kong University of Science and Technology, Xu, X., & The Hong Kong Polytechnic University (2016) · Journal of the Association for Information Systems · doi:10.17705/1jais.00428 · Cited by 2,513 · see citing works
Sullivan, L. E. (2009) · The SAGE Glossary of the Social and Behavioral Sciences · doi:10.4135/9781412972024.n747 · Cited by 2,442 · see citing works
Toward an understanding of the behavioral intention to use mobile banking
Luarn, P., & Lin, H. (2004) · Computers in Human Behavior · doi:10.1016/j.chb.2004.03.003 · Cited by 1,997 · see citing works
The Drivers of Green Brand Equity: Green Brand Image, Green Satisfaction, and Green Trust
Chen, Y. (2009) · Journal of Business Ethics · doi:10.1007/s10551-009-0223-9 · Cited by 1,866 · see citing works
Maxwell, A. E., & Harman, H. H. (1968) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2343736 · Cited by 1,853 · see citing works
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.01.002 · Cited by 1,765 · see citing works
Integrating TTF and UTAUT to explain mobile banking user adoption
Zhou, T., Lu, Y., & Wang, B. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.01.013 · Cited by 1,696 · see citing works
Oliveira, T., Thomas, M. A., Baptista, G., & Campos, F. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.030 · Cited by 1,545 · see citing works
Chen, Y., & Chang, C. (2012) · Management Decision · doi:10.1108/00251741211216250 · Cited by 1,370 · see citing works
Martínez, P., & del Bosque, I. R. (2013) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2013.05.009 · Cited by 1,051 · see citing works
Lin, H.-F. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2010.07.006 · Cited by 912 · see citing works
Suh, B., & Han, I. (2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044270 · Cited by 882 · see citing works
Information Systems Innovation for Environmental Sustainability1
Melville, N. P. (2010) · MIS Quarterly · doi:10.2307/20721412 · Cited by 868 · see citing works
Consumer trust, perceived security and privacy policy
Flavián, C., & Guinalíu, M. (2006) · Industrial Management & Data Systems · doi:10.1108/02635570610666403 · Cited by 812 · see citing works
Dwivedi, Y. K., Hughes, L., Kar, A. K., Baabdullah, A. M., Grover, P., Abbas, R., Andreini, D., Abumoghli, I., Barlette, Y., Bunker, D., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102456 · Cited by 761 · see citing works
Web retailing adoption: exploring the nature of internet users Web retailing behaviour
O’Cass, A., & Fenech, T. O. (2003) · Journal of Retailing and Consumer Services · doi:10.1016/s0969-6989(02)00004-8 · Cited by 660 · see citing works
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model
Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. P. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.09.002 · Cited by 656 · see citing works
Kumar, B., Manrai, A. K., & Manrai, L. A. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.09.004 · Cited by 635 · see citing works
Marcoulides, G. A., & Saunders, C. (2006) · MIS Quarterly · doi:10.2307/25148727 · Cited by 580 · see citing works
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.08.026 · Cited by 576 · see citing works
Yousafzai, S., Foxall, G. R., & Pallister, J. (2010) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2010.00615.x · Cited by 521 · see citing works
Consumer attitude and intention to adopt mobile wallet in India – An empirical study
Chawla, D., & Joshi, H. (2019) · International Journal of Bank Marketing · doi:10.1108/ijbm-09-2018-0256 · Cited by 518 · see citing works
El-Masri, M., & Tarhini, A. (2017) · Educational Technology Research and Development · doi:10.1007/s11423-016-9508-8 · Cited by 497 · see citing works
Zhang, M., Liu, Y., Wang, Y., & Zhao, L. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107052 · Cited by 494 · see citing works
Sustaining the environment through recycling: An empirical study
Ramayah, T., Lee, J. W. C., & Lim, S. (2012) · Journal of Environmental Management · doi:10.1016/j.jenvman.2012.02.025 · Cited by 476 · see citing works
Taufique, K. M. R., & Vaithianathan, S. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.02.097 · Cited by 466 · see citing works
An agenda for ‘Green’ information technology and systems research
Jenkin, T. A., Webster, J., & McShane, L. (2010) · Information and Organization · doi:10.1016/j.infoandorg.2010.09.003 · Cited by 437 · see citing works
Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2
Tamilmani, K., Rana, N. P., & Dwivedi, Y. K. (2020) · Information Systems Frontiers · doi:10.1007/s10796-020-10007-6 · Cited by 413 · see citing works
Sustainable business model archetypes for the banking industry
Yip, A. W. H., & Bocken, N. M. P. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.10.190 · Cited by 403 · see citing works
Vimalkumar, M., Sharma, S. K., Singh, J. B., & Dwivedi, Y. K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106763 · Cited by 402 · see citing works
Biswas, A., & Roy, M. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.02.042 · Cited by 398 · see citing works
Internet banking acceptance model: Cross-market examination
Alsajjan, B., & Dennis, C. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2008.12.014 · Cited by 362 · see citing works
Factors affecting adoption of online banking: A meta-analytic structural equation modeling study
Montazemi, A. R., & Qahri-Saremi, H. (2015) · Information & Management · doi:10.1016/j.im.2014.11.002 · Cited by 293 · see citing works
Digital-only banking experience: Insights from gen Y and gen Z
Windasari, N. A., Kusumawati, N., Larasati, N. A., & Amelia, R. P. (2022) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2022.100170 · Cited by 275 · see citing works
Liébana-Cabanillas, F. J., Sánchez‐Fernández, J., & Muñoz‐Leiva, F. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.12.006 · Cited by 274 · see citing works
Banking “on-the-go”: examining consumers’ adoption of mobile banking services
Zhang, T., Lu, C., & Kizildag, M. (2018) · International Journal of Quality and Service Sciences · doi:10.1108/ijqss-07-2017-0067 · Cited by 239 · see citing works
Consumer attitudes on mobile payment services – results from a proof of concept test
Arvidsson, N. (2014) · International Journal of Bank Marketing · doi:10.1108/ijbm-05-2013-0048 · Cited by 236 · see citing works
Upadhyay, N., Upadhyay, S., Abed, S. S., & Dwivedi, Y. K. (2022) · International Journal of Bank Marketing · doi:10.1108/ijbm-06-2021-0262 · Cited by 222 · see citing works
Does ease-of-use contributes to the perception of enjoyment? A case of gamification in e-banking
Rodrigues, L. F., Oliveira, A., & Costa, C. J. D. C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.015 · Cited by 202 · see citing works
Digital and financial literacy as determinants of digital payments and personal finance
Prete, A. L. (2022) · Economics Letters · doi:10.1016/j.econlet.2022.110378 · Cited by 184 · see citing works
Ignat, B., & Chankov, S. M. (2020) · The International Journal of Logistics Management · doi:10.1108/ijlm-11-2019-0305 · Cited by 176 · see citing works
Frank, B. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.125242 · Cited by 174 · see citing works
Adoption of mobile self-service retail banking technologies
Giovanis, A. N., Assimakopoulos, C., & Sarmaniotis, C. (2018) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-05-2018-0089 · Cited by 155 · see citing works
Manzano, J. A., Mafé, C. R., Blas, S. S., & Navarré, C. L. (2010) · Service Industries Journal · doi:10.1080/02642060903433997 · Cited by 154 · see citing works
Factors affecting consumers’ mobile payment behavior: A meta-analysis
Liu, Z., Ben, S., & Zhang, R. (2019) · Electronic Commerce Research · doi:10.1007/s10660-019-09349-4 · Cited by 152 · see citing works
Modifying UTAUT2 for a cross-country comparison of telemedicine adoption
Schmitz, A., Díaz‐Martín, A. M., & Guillén, M. J. Y. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107183 · Cited by 150 · see citing works
The determinants of satisfaction with e‐banking
Liébana-Cabanillas, F. J., Muñoz‐Leiva, F., & Rejón‐Guardia, F. (2013) · Industrial Management & Data Systems · doi:10.1108/02635571311324188 · Cited by 146 · see citing works
Exploring the digitalization impact on consumer decision-making in retail banking
Pousttchi, K., & Dehnert, M. (2018) · Electronic Markets · doi:10.1007/s12525-017-0283-0 · Cited by 139 · see citing works
Yu, T.-Y., Yu, T.-K., & Chao, C.-M. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.05.115 · Cited by 137 · see citing works
Consumer perspectives about mobile banking adoption in India – a cluster analysis
Chawla, D., & Joshi, H. (2017) · International Journal of Bank Marketing · doi:10.1108/ijbm-03-2016-0037 · Cited by 135 · see citing works
Elheddad, M., Benjasak, C., Deljavan, R., Alharthi, M., & Almabrok, J. M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120485 · Cited by 130 · see citing works
Kamdjoug, J. R. K., Wamba-Taguimdje, S.-L., Wamba, S. F., & Kake, I. B. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102509 · Cited by 128 · see citing works
Key challenges to digital financial services in emerging economies: the Indian context
Rana, N. P., Luthra, S., & Rao, H. R. (2019) · Information Technology and People · doi:10.1108/itp-05-2018-0243 · Cited by 116 · see citing works
Self-citationTing, C.-T., Hsieh, C.-M., Chang, H.-P., & Chen, H.-S. (2019) · Sustainability · doi:10.3390/su11030819 · Cited by 115 · see citing works
Digital finance and rural revitalization: Empirical test and mechanism discussion
Xu, Q., Zhong, M., & Dong, Y. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123248 · Cited by 108 · see citing works
Taneja, S., & Ali, L. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102418 · Cited by 99 · see citing works
Self-citationA meta-analysis of eWallet adoption using the UTAUT model
Bommer, W. H., Rana, S., & Milevoj, E. (2022) · International Journal of Bank Marketing · doi:10.1108/ijbm-06-2021-0258 · Cited by 77 · see citing works
Gupta, S., Yun, H., Xu, H., & Kim, H. (2017) · Information Technology for Development · doi:10.1080/02681102.2016.1233855 · Cited by 75 · see citing works
Wang, P., & McCarthy, B. (2020) · Australasian Marketing Journal (AMJ) · doi:10.1016/j.ausmj.2020.04.008 · Cited by 71 · see citing works
Analysis of the predictive variables of the intention to invest in a socially responsible manner
Palacios-González, M. M., & Mera, A. C. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.06.066 · Cited by 68 · see citing works
How does culture influence digital banking? A comparative study based on the unified model
Khan, I. U. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101822 · Cited by 66 · see citing works
Does the digital transformation of banks affect green credit?
Shang, X., & Niu, H. (2023) · Finance research letters · doi:10.1016/j.frl.2023.104394 · Cited by 56 · see citing works
Environmental sustainability: A technology acceptance perspective
Papagiannidis, S., & Marikyan, D. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102445 · Cited by 52 · see citing works
Technological perspectives of Metaverse for financial service providers
Aysan, A. F., Gözgör, G., & Nanaeva, Z. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123323 · Cited by 51 · see citing works
Kimiagari, S., & Baei, F. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3147169 · Cited by 46 · see citing works
Banking Digitalization: (Re)Thinking Strategies and Trends Using Problem Structuring Methods
Rodrigues, J. F. C., Ferreira, F. A. F., Pereira, L., Carayannis, E. G., & Ferreira, J. J. (2020) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2020.2993171 · Cited by 43 · see citing works
Laing, T., Upadhyay, A., Mohan, S., & Subramanian, N. (2019) · Production Planning & Control · doi:10.1080/09537287.2018.1501813 · Cited by 40 · see citing works
Central bank digital currencies: Consumer data-driven sustainable operation management policy
Wang, Z.-A., Samuel, R.-N., Chen, X., Xu, B., & Huang, W. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122867 · Cited by 37 · see citing works
Trivedi, S. K., Patra, P., Srivastava, P. R., Kumar, A., & Ye, F. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3182361 · Cited by 34 · see citing works
Self-citationAndespa, R., Yeni, Y. H., Fernando, Y., & Sari, D. K. (2023) · Journal of Islamic marketing · doi:10.1108/jima-06-2023-0181 · Cited by 32 · see citing works
Yuan, Y.-P., Tan, G. W., & Ooi, K. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3204285 · Cited by 31 · see citing works
Augmented reality is the new digital banking – AR brand experience impact on brand loyalty
Butt, A. H., Ahmad, H., & Muzaffar, A. (2024) · International Journal of Bank Marketing · doi:10.1108/ijbm-11-2022-0522 · Cited by 30 · see citing works
Digital Transformation in Corporate Banking: Toward a Blended Service Model
Lóska, G., & Uotila, J. (2023) · California Management Review · doi:10.1177/00081256231207429 · Cited by 29 · see citing works
Chauhan, V. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123255 · Cited by 23 · see citing works
Lekakos, G. D., Vlachos, P. A., & Koritos, C. (2014) · Ethics and Information Technology · doi:10.1007/s10676-014-9337-6 · Cited by 22 · see citing works
How going green builds trusting beliefs
Jørgensen, S., Pedersen, L. J. T., & Skard, S. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2888 · Cited by 21 · see citing works
The Stackelberg duel between Central Bank Digital Currencies and private payment titans in China
Wu, W., Chen, X., Zvarych, R. Y., & Huang, W.-L. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123169 · Cited by 21 · see citing works
Chen, Y. (2023) · Resources Policy · doi:10.1016/j.resourpol.2023.104436 · Cited by 16 · see citing works
Generational differences in payment transparency perceptions
Parks‐Stamm, E. J., & Flinner, S. M. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103691 · Cited by 7 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- [24]24. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology, 22(14), 1111- 1132.
- [47]47. Lee, M. K. O., & Turban, E. (2001). A Trust Model for Consumer Internet Shopping All use subject to JSTOR Terms and Conditions A Trust Model for Consumer Internet Shopping. International Journal of Electronic Business Management, 6(1), 75-91.
- [53]53. Marcoulides, G. A., & Saunders, C. (2006, June). PLS: A silver bullet? MIS Quarterly: Management Information Systems.
- [56]56. Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). New York McGraw-Hill.
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Gupta, P., & Srivastava, S. (2025) · Qualitative Research in Financial Markets · doi:10.1108/qrfm-07-2024-0198 · Cited by 7 · see citing works
Singh, M., & Chouhan, N. (2024) · Advances in business strategy and competitive advantage book series · doi:10.4018/979-8-3693-9117-4.ch003 · Cited by 4 · see citing works
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Setiawan, B., Utami, D., Arifin, F., Igamo, A. M., Permana, K. W. A., Nathan, R., & Fekete-Farkas, M. (2026) · Journal of Financial Services Marketing · doi:10.1057/s41264-026-00357-8 · Cited by 3 · see citing works
Siddik, A. B., Li, Y., Du, A. M., & Goodell, J. W. (2025) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2025.3591773 · Cited by 3 · see citing works
Appiah, T., Assefuah, B., Agblewornu, V. V., Forson, N. M.-A., & Donkoh, G. (2025) · SN Business & Economics · doi:10.1007/s43546-025-00820-z · Cited by 3 · see citing works
Singh, D., Malik, G., & Kaur, A. (2025) · Journal of Public Affairs · doi:10.1002/pa.70055 · Cited by 2 · see citing works
Factors Influencing Consumer Intentions to Adopt Digital Banking Integrating UTAUT2 and Security
Surya, V., Suhartono, J., & Lusianah, L. (2025) · International Conference on Creative Communication and Innovative Technology (ICCIT) · doi:10.1109/iccit65724.2025.11167075 · Cited by 2 · see citing works
Understanding behavioral drivers of neobank adoption among young consumers
Jha, A., Bhatia, A., Shri, C., & Rai, S. (2026) · Management Decision · doi:10.1108/md-09-2025-2668 · Cited by 2 · see citing works
AlZboon, A. H., & Alshbiel, R. O. (2026) · Horizons Intermediary Journal of Business Research · doi:10.67150/hijbr.v1i1.3 · Cited by 2 · see citing works
Zhu, S., Zhou, J., & Xu, N. (2025) · Healthcare · doi:10.3390/healthcare13141753 · Cited by 2 · see citing works
Mihai, F., Iordache, D.-M., & Aleca, O. E. (2025) · Proceedings of the ... International Conference on Business Excellence · doi:10.2478/picbe-2025-0031 · Cited by 1 · see citing works
Singh, V. K., Shaikh, Z. H., Sinha, K., Panigrahi, R. R., Mukherjee, S., & Chowdury, V. G. (2025) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2025.100712 · Cited by 2 · see citing works
Falcón, A. W. C., Sánchez, R. V., Periche, I. C. Z., & Rumiche, V. L. R. (2025) · Multidisciplinary Reviews · doi:10.31893/multirev.2026358 · Cited by 1 · see citing works
Evolution of Neo-Banks: Navigating Regulation and Driving Industry Disruption
Rao, V. C. P. C., Rehman, D. Z. U., Suda, P. R., & Rajesh, K. (2026) · International Journal of Emerging Research in Science Engineering and Management · doi:10.66710/ijersem.v2si1.4 · Cited by 1 · see citing works
Sardana, S., Singh, V., & Adhikari, D. (2024) · Advances in e-business research series · doi:10.4018/979-8-3693-9699-5.ch004
Amirkhalili, Y., Dimitrov, S., & Cozzarin, B. P. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5216355
Thasleena, N., & Pankajam, A. (2025) · Metamorphosis · doi:10.1177/09726225251351771
Narayan, M., Mani, N., Pathak, K., & Dutta, P. K. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4942-8.ch015
Ramana, N. V., Kumar, M., Vidyashree, D. V., BASHA, D. S. C., Pandey, V., & Kaliappan, S. (2025) · IEEE International Conference on Emerging Trends in Computing and Communication (ETCOM) · doi:10.1109/etcom66606.2025.11437052
Brîncoveanu, C., Carl, K. V., & Hinz, O. F. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-28316-0_10
SMART BANKING, SMARTER CUSTOMERS: THE NEO BANK IMPACT
Sneha, N., P., D. D., & Divya Darshini, K. (2026) · mLAC Journal for Arts Commerce and Sciences (m-JACS) · doi:10.59415/mjacs.329
Neobanking and household financial behavior: Insights from savings and borrowings
Hasan, M., Hoque, A., Bhuiyan, T., & Abedin, M. Z. (2026) · International Review of Economics & Finance · doi:10.1016/j.iref.2026.105890
Consumer Preferences for FinTech Neobanks—A Comparative Study of Germany, Lithuania, and Taiwan
Perret, J. K., Shen, Y., & Taujanskaitė, K. (2026) · FinTech · doi:10.3390/fintech5040087
The inner workings of mobile banking adoption: a systematic literature review of intrinsic factors
Amirkhalili, Y., Cozzarin, B. P., & Dimitrov, S. (2026) · Journal of Financial Services Marketing · doi:10.1057/s41264-026-00399-y
- Authors
- Taneja, S., Ali, L., Siraj, A., Ferasso, M., Luthra, S., & Kumar, A.
- Affiliations
- London Metropolitan University (GB)
- Guildhall School of Business and Law, London Metropolitan University, London, U.K.
- Venue
- IEEE Transactions on Engineering Management
- Published
- 2024
- Volume
- 71
- Pages
- 10862-10873
- ISSN
- 0018-9391 (ISSN-L)
- 1558-0040
- OpenAlex
- W4396596927
- Cited by
- 26
- References
- 98
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 2
- FWCI
- 9.74
- Type
- journal article
- Language
- en
- Open access
- green
- orcid.org
- Licence
- Locations
- IEEE Transactions on Engineering Management (publishedVersion)
- London Met Repository (London Metropolitan University) (acceptedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › FinTech, Crowdfunding, Digital Finance
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- neobanking, banking-as-a-service, digital payment adoption, trust, risk perception, perceived security, UTAUT, effort expectancy, performance expectancy, social influence, hedonic motivation, fintech, digital financial services
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