Unfolding factors behind internet-banking adoption in Bangladesh: An extension of UTAUT2 with perceived security and trust

  • Sharmin Akter Assistant Professor, Department of Marketing, University of Chittagong, Chattogram-4331, Bangladesh.
  • Najma Kabir Lecturer, Department of Marketing, University of Chittagong, Chattogram-4331, Bangladesh
  • Tahmina Reza Assistant Professor, Faculty of Business Studies, Premier University, Chattogram-4203, Bangladesh


Over the last decade, Internet banking is making its own acceptance worldwide including both economically stable as well as in developing countries. Though an ample amount of research on Internet banking (IB) adoption is accessible in developed countries and in some developing countries, it is scant in Bangladesh. Therefore, the aim this study is to analyze the predictors that influences customers in IB adoption in Bangladesh. Incorporating two external variables, namely perceived technology security (PTS) and trust with the UTAUT2, a survey questionnaire was developed and distributed among Bangladeshi customers using online platforms. Using convenience sampling method as a nonprobability sampling technique, a total 280 responses were gathered in an online survey and analyzed following PLS-SEM strategy. This study revealed that PTS, performance expectancy, trust, effort expectancy (EE), social influence (SI), facilitating conditions (FC), price value (PV), and hedonic motivation (HM) have significant influences on IB adoption in the Bangladesh context while habit (HT) has found insignificant. Further, while we investigated the gender differences between the relationships of exogenous and endogenous constructs using PLS-MGA (multi-group-analysis), we found that trust, HT, PV, EE, and FC are significant for female whereas PTS, SI, and PE are significant for male respondents. Gender also moderates the relationships between HT and IB adoption, and, trust and IB adoption. This study contributes in the literature of IB adoption as well as offers some valuable implications for Banks in developing country to increase the IB adoption.


Download data is not yet available.


Afthanorhan, A., Awang, Z., & Aimran, N. (2020). Five Common Mistakes for Using Partial Least Squares Path Modeling (PLS-PM) in Management Research. Contemporary Management Research, 16(4), 255-278. https://doi.org/10.7903/cmr.20247

Afthanorhan, W. M. A. B. W. (2014). Hierarchical component using reflective-formative measurement model in partial least square structural equation modeling (Pls-Sem). International Journal of Mathematics, 2(2), 33-49.

Afthanorhan, W. M. A. B. W. (2013). A comparison of partial least square structural equation modeling (PLS-SEM) and covariance based structural equation modeling (CB-SEM) for confirmatory factor analysis. International Journal of Engineering Science and Innovative Technology, 2(5), 198-205.

Ahmad, M., & Soleymani, S.A. (2013). Impact of Trust on Internet Banking Adoption: A Literature Review.

Ajzen, I. J. P., & review, s. p. (2002). Residual effects of past on later behavior: Habituation and reasoned action perspectives. 6(2), 107-122. https://doi.org/10.1207/S15327957PSPR0602_02

Akhlaq, A., & Ahmed, E. J. I. j. o. b. m. (2013). The effect of motivation on trust in the acceptance of internet banking in a low-income country. https://doi.org/10.1108/02652321311298690

Alalwan A, Dwivedi YK, Rana NP et al (2018) Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services. 40: 125-138. https://doi.org/10.1016/j.jretconser.2017.08.026

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Williams, M. D. J. J. o. E. I. M. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy.

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., Lal, B., & Williams, M. D. J. J. o. F. S. M. (2015). Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. 20(2), 145-157. https://doi.org/10.1057/fsm.2015.5

Alalwan, A., Dwivedi, Y. K., & Williams, M. D. (2014). Examining factors affecting customer intention and adoption of Internet banking in Jordan. UK Academy for Information Systems Conference Proceedings 2014, Paper 3, available at: http://aisel.aisnet.org/ukais2014/3

Alam, M. Z., Hu, W., & Barua, Z. (2018). Using the UTAUT model to determine factors affecting acceptance and use of mobile health (mHealth) services in Bangladesh. Journal of Studies in Social Sciences, 17(2).

Alam, M. Z., Hoque, M. R., Hu, W., & Barua, Z. (2020). Factors influencing the adoption of mHealth services in a developing country: A patient-centric study. International journal of information management, 50, 128-143. https://doi.org/10.1016/j.ijinfomgt.2019.04.016

Alhassany, H., Faisal, F. (2018). Factors influencing the internet banking adoption decision in North Cyprus: an evidence from the partial least square approach of the structural equation modeling. FinancInnov 4, 29. https://doi.org/10.1186/s40854-018-0111-3

Alsajjan, B., & Dennis, C. (2010). Internet banking acceptance model: Cross-market examination. Journal of Business Research, 63(9), 957-963. https://doi.org/10.1016/j.jbusres.2008.12.014

Ameen, N., & Willis, R. J. I. T. f. D. (2019). Towards closing the gender gap in Iraq: understanding gender differences in smartphone adoption and use. 25(4), 660-685. https://doi.org/10.1080/02681102.2018.1454877

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411, doi: https://psycnet.apa.org/buy/1989-14190-001

Assessing the role of gender. Journal of Business Research, 63(9), 926–934.

Azad, M. A. K. (2016). Predicting mobile banking adoption in Bangladesh: a neural network approach. Transnational Corporations Review, 8(3), 207–214. doi:10.1080/19186444.2016.1233726

Azzalini, A., Browne, R. P., Genton, M. G., & McNicholas, P. D. (2014). Comparing two formulations of skew distributions with special reference to model-based clustering. arXiv preprint arXiv:1402.5431.

Badreldin F. Salim, Mohamed H. Mahmoud and Hatim M. Khair(2016). Perceived factors affecting the Internet Banking implementation in Sudan: an application of (UTAUT2). International journal of applied business and economic research - New Delhi: Serials Publ., ISSN 0972-7302, ZDB-ID 2460416-1. - Vol. 14.2016, 1, p. 1-16

Barua, Z., Aimin, W., & Akter, S. (2016). Antecedents of perceived risk and their influence on satisfaction and behavioral intention toward self-service technologies. INNOVATION AND MANAGEMENT, 1921.

Barua, Z., Aimin, W., & Hongyi, X. (2018). A perceived reliability-based customer satisfaction model in self-service technology. The Service Industries Journal, 38(7-8), 446-466, doi: https://doi.org/10.1080/02642069.2017.1400533

Barua, Z., Barua, S., Aktar, S., Kabir, N., & Li, M. (2020). Effects of misinformation on COVID-19 individual responses and recommendations for resilience of disastrous consequences of misinformation. Progress in Disaster Science, 8, 100119, doi: https://doi.org/10.1016/j.pdisas.2020.100119

Barua, Z. and Barua, A. (2021), "Acceptance and usage of mHealth technologies amid COVID-19 pandemic in a developing country: the UTAUT combined with situational constraint and health consciousness", Journal of Enabling Technologies, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JET-08-2020-0030

Boksberger, P. E., & Melsen, L. J. J. o. s. m. (2011). Perceived value: a critical examination of definitions, concepts and measures for the service industry. https://doi.org/10.1108/08876041111129209

Brown, S. A., & Venkatesh, V. J. M. q. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. 399-426. https://doi.org/10.2307/25148690

Casaló, L.V., Flavián, C., &Guinaliu, M. (2007). The role of security, privacy, usability and reputation in the development of online banking. Online Inf. Rev., 31, 583-603. https://doi.org/10.1108/14684520710832315

Celik, H. J. I. J. o. B. M. (2008). What determines Turkish customers' acceptance of internet banking? https://doi.org/10.1108/02652320810894406

Chaouali, W., Yahia, I. B., Souiden, N. J. J. o. R., & Services, C. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers' intention to adopt Internet banking services: The case of an emerging country. 28, 209-218. https://doi.org/10.1016/j.jretconser.2015.10.007

Cheng, T. E., Lam, D. Y., & Yeung, A. C. J. D. s. s. (2006). Adoption of internet banking: an empirical study in Hong Kong. 42(3), 1558-1572. https://doi.org/10.1016/j.dss.2006.01.002

Chin, W. W. (2010). How to write up and report PLS analyses. Handbook of artial least squares. Berlin, Heidelberg: Springer655–690. doi: https://doi.org/10.1007/978-3-540-32827-8_29

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.

Coutu, D. L. J. H. B. R. (1998). Trust in virtual teams. 76(3), 20-22.

Curran, J. M., & Meuter, M. L. (2007). Encouraging existing customers to switch to self-service technologies: put a little fun in their lives. Journal of Marketing Theory and Practice, 15(4), 283-298, https://doi.org/10.2753/MTP1069-6679150401

Curran, J.M., & Meuter, M.L., 2005. Self-service technology adoption: comparing three technologies. J. Serv. Mark. 19 (2), 103–113. https://doi.org/10.1108/08876040510591411

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.https://doi.org/10.2307/249008

Dewan, A. and S. A. Nazmin 2007. "The opportunities of using Information and Communication Technology by small and medium enterprises in Bangladesh: The case of SMEs differences in individual technology adoption decision-making processes. Organizational Behavior and Human Decision Processes, 83(1), 33–60.

Eriksson, K., Kerem, K., & Nilsson, D. J. I. j. o. b. m. (2005). Customer acceptance of internet banking in Estonia. https://doi.org/10.1108/02652320510584412

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American journal of theoretical and applied statistics, 5(1), 1-4.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50, doi: https://doi.org/10.1177%2F002224378101800104

FSR, (2018). Financial Stability Assessment Report, July-September, 2018. Accessed on 07 June 2021 from https://bb.org.bd/pub/quaterly/finstab/jul_sep2018.pdf

Fuksa, M. J. P. C. S. (2013). Mobile technologies and services development impact on mobile Internet usage in Latvia. 26, 41-50. https://doi.org/10.1016/j.procs.2013.12.006

Gefen, D. (2002). Reflections on the dimensions of trust in online-shopping. https://doi.org/10.1145/569905.569910

Gefen, D. J. J. o. O., & Computing, E. U. (2003). TAM or just plain habit: A look at experienced online shoppers. 15(3), 1-13. DOI: 10.4018/joeuc.2003070101

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 51-90, doi: https://doi.org/10.2307/30036519

Gharaibeh, M., Arshad, M., &Gharaibeh, N. (2018). Using the UTAUT2 Model to Determine Factors Affecting Adoption of Mobile Banking Services: A Qualitative Approach. International Journal of Interactive Mobile Technologies (IJIM), 12(4), pp. 123-134. https://doi.org/10.3991/ijim.v12i4.8525

Gholami, R., Clegg, B. T., & Al-Somali, S. A. (2008). Internet banking acceptance in the context of developing countries. (Aston Business School research papers). Aston University.

Grabner-Kräuter, S., & Faullant, R. (2010). Internet Trust as a Specific Form of Technology Trust and its Influence on Online Banking Adoption. Int. J. Dependable Trust. Inf. Syst., 1, 43-60. DOI: 10.4018/978-1-61520-901-9.ch011

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate Data Analysis (8th ed.). United Kingdom: Cengage Learning.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152, https://doi.org/10.2753/MTP1069-6679190202

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. https://doi.org/10.1016/j.tele.2012.11.001

Heijden HV. Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Inform Manage 2003;40(2):541–9 .https://doi.org/10.1016/S0378-7206(02)00079-4

Henning, M., & Jardim, A. (1977). The Managerial Woman London: Marion Boyars.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135, doi: https://doi.org/10.1007/s11747-014-0403-8

Henseler, J., Ringle, C.M. and Sinkovics, R.R. (2009), "The use of partial least squares path modeling in international marketing", Sinkovics, R.R. and Ghauri, P.N. (Ed.) New Challenges to International Marketing (Advances in International Marketing, Vol. 20), Emerald Group Publishing Limited, Bingley, pp. 277-319. https://doi.org/10.1108/S1474-7979(2009)0000020014

Hernandez, J.M.C. and Mazzon, J.A. (2007) ‘Adoption of internet banking: proposition and implementation of an integrated methodology approach’, International Journal of Bank Marketing, Vol. 25, No. 2, pp.72–88. https://doi.org/10.1108/02652320710728410

Hoque, A. S. M. M., Awang, Z. B., 2019. Does gender difference play moderating role in the relationship between entrepreneurial marketing and Bangladeshi SME performance? Accounting, 5(1), 35–52. DOI: 10.5267/j.ac.2018.6.001

Islam, S., & Mahfuz, A. S. M. (2014). Adoption of e-banking in Bangladesh: Evolution, status and prospects. 16th Int’l Conf. Computer and Information Technology. doi:10.1109/iccitechn.2014.6997303

Jahangir, N., & Parvez, N. (2012). Factors Determining Customer Adaptation to Internet Banking in the Context of Private Commercial Banks of Bangladesh. Business Perspectives and Research, 1(1), 25–36. doi:10.1177/2278533720120103

Jayshree Chavan (2013). Internet Banking- Benefits and Challenges in an Emerging economy. International Journal of Research in Business Management (IJRBM) Vol. 1, Issue 1, June 2013, 19-2

Jordan, P. J., & Troth, A. C. (2020). Common method bias in applied settings: The dilemma of researching in organizations. Australian Journal of Management, 45(1), 3-14, doi: https://doi.org/10.1177%2F0312896219871976

Juwaheer, T. D., Pudaruth, S., Ramdin, P. J. W. J. o. S., Technology, & Development, S. (2012). Factors influencing the adoption of internet banking: a case study of commercial banks in Mauritius. https://doi.org/10.1108/20425941211250552

Karen Furst, William W. Lang, and Daniel E. Nolle (2000). Internet Banking; Development and prospects. Economic and Policy Analysis Working Paper 2000-9 September 2000

Khalil Md Nor & J. Michael Pearson (2008) An Exploratory Study Into The Adoption of Internet Banking in a Developing Country: Malaysia, Journal of Internet Commerce, 7:1, 29-73, DOI: 10.1080/15332860802004162

Kline, R. B. (2011). Principles and practice of structural equation modeling (3. Baskı). New York, NY: Guilford.

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (ijec), 11(4), 1-10, DOI: 10.4018/ijec.2015100101

Lai, V.S. and Li, H. (2005) ‘Technology acceptance model for internet banking: an invariance analysis’, Information & Management, Vol. 42, No. 2, pp.373–386. https://doi.org/10.1016/j.im.2004.01.007

Lassar, W. M., Manolis, C., & Lassar, S. S. J. I. J. o. B. M. (2005). The relationship between consumer innovativeness, personal characteristics, and online banking adoption. https://doi.org/10.1108/02652320510584403

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. https://doi.org/10.1016/j.elerap.2008.11.006

Limayem, M., Hirt, S. G., & Cheung, C. M. J. M. q. (2007). How habit limits the predictive power of intention: The case of information systems continuance. 705-737. https://doi.org/10.2307/25148817

Lin W-R, Wang Y-H, Hung Y-M (2020) Analyzing the factors influencing adoption intention of internet banking: Applying DEMATEL-ANP-SEM approach. PLoS ONE 15(2): e0227852. https://doi. org/10.1371/journal.pone.0227852

Lin, F.-T., Wu, H.-Y., & Tran, T. N. N. (2014). Internet banking adoption in a developing country: an empirical study in Vietnam. Information Systems and e-Business Management, 13(2), 267–287. doi:10.1007/s10257-014-0268-x

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. https://doi.org/10.1016/j.ijinfomgt.2010.07.006

Lin, H. F. (2013). Determining the relative importance of mobile banking quality factors. Computer Standards & Interfaces, 35(2), 195–204. https://doi.org/10.1016/j.csi.2012.07.003

López-Nicolás, C., Molina-Castillo, F. J., Bouwman, H. J. I., & management. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. 45(6), 359-364. https://doi.org/10.1016/j.im.2008.05.001

Martins, C., Oliveira, T., & Popovič, A. J. I. j. o. i. m. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. 34(1), 1-13. https://doi.org/10.1016/j.ijinfomgt.2013.06.002

Mbrokoh, A.S. (2016). Exploring the Factors that Influence the Adoption of Internet Banking in Ghana. The Journal of Internet Banking and Commerce, 21.

Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technology in Society, 101151. doi:10.1016/j.techsoc.2019.101151

Miltgen, C. L., Popovič, A., & Oliveira, T. J. D. S. S. (2013). Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context. 56, 103-114.

Negahban, A., & Chung, C. H. (2014). Discovering determinants of users perception of mobile device functionality fit. Computers in Human Behavior, 35, 75-84. https://doi.org/10.1016/j.chb.2014.02.020

Nguyen, Thuy & Nguyen, Hien & Mai, Hong & Tran, Tram. (2020). Determinants of Digital Banking Services in Vietnam: Applying UTAUT2 Model. Asian Economic and Financial Review. 10. 680-697. DOI:10.18488/journal.aefr.2020.106.680.697.

Nicolaou, A. I., & McKnight, D. H. J. I. s. r. (2006). Perceived information quality in data exchanges: Effects on risk, trust, and intention to use. 17(4), 332-351.

Nitsure, R. R. (2003). “E-banking: Challenges and Opportunities,” Economic and Political Weekly, vol. 38.

Nor, K. M., & Pearson, J. M. (2008). An Exploratory Study Into The Adoption of Internet Banking in a Developing Country: Malaysia. Journal of Internet Commerce, 7(1), 29–73. doi:10.1080/15332860802004162

Nor, K., & Pearson, J. (2007). The Influence of Trust on Internet Banking Acceptance. The Journal of Internet Banking and Commerce, 12, 1-10.

Nunnally, J.C., 1978. Psychometric Theory. McGraw-Hill, New York, NY.

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. J. C. i. H. B. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. 61, 404-414. https://doi.org/10.1016/j.chb.2016.03.030

Owusu Kwateng, K., Osei Atiemo, K.A. and Appiah, C. (2019), "Acceptance and use of mobile banking: an application of UTAUT2", Journal of Enterprise Information Management, Vol. 32 No. 1, pp. 118-151. https://doi.org/10.1108/JEIM-03-2018-0055

Parameswaran, S., Kishore, R., Li, P., 2015. Within-study measurement invariance of the UTAUT instrument: An assessment with user technology engagement variables. Information & Management, 52(3), 317-336. https://doi.org/10.1016/j.im.2014.12.007

Patel, K.J. and Patel, H.J. (2018), "Adoption of internet banking services in Gujarat: An extension of TAM with perceived security and social influence", International Journal of Bank Marketing, Vol. 36 No. 1, pp. 147-169. https://doi.org/10.1108/IJBM-08-2016-0104

Pavlou, P. A., & Gefen, D. J. I. s. r. (2004). Building effective online marketplaces with institution-based trust. 15(1), 37-59.

Peković, J., Zdravković, S., & Pavlović, G. J. M. (2019). Social media influencers as a predictor of consumer intentions. 50(3), 207-216.

Petrick, J. F. J. J. o. l. r. (2002). Development of a multi-dimensional scale for measuring the perceived value of a service. 34(2), 119-134. https://doi.org/10.1080/00222216.2002.11949965

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. https://doi.org/10.1108/10662240410542652

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879, doi: https://psycnet.apa.org/buy/2003-08045-010

Purwanegara, M., Apriningsih, A., &Andika, F. (2014). Snapshot on Indonesia regulations in Mobile Internet banking users’ attitudes. Procedia-Social and Behavioral Sciences, 115, 147–155. https://doi.org/10.1016/j.sbspro.2014.02.423

Püschel, J., Mazzon, J. A., & Hernandez, J. M. C. (2010). Mobile banking: Proposition of an integrated adoption intention framework. International Journal of Bank Marketing, 28(5), 389–409. https://doi.org/10.1108/02652321011064908

Rahi, S., Ghani, M.A. and Ngah, A.H. (2018), “A structural equation model for evaluating user’s intention to adopt internet banking and intention to recommend technology”, Accounting, Vol. 4 No. 4, pp. 129-170, doi: 10.5267/j.ac.2018.3.002.

Richard, M., Chebat, J., Yang, Z., Putrevu, S., 2010. A proposed model of online consumer behavior: assessing the role of gender. https://doi.org/10.1016/j.jbusres.2009.02.027

Riffai, M., Grant, K., & Edgar, D. J. I. j. o. i. m. (2012). Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman. 32(3), 239-250. https://doi.org/10.1016/j.ijinfomgt.2011.11.007

Rotter, G. S., & Portugal, S. M. J. J. o. A. P. (1969). Group and individual effects in problem solving. 53(4), 338. https://doi.org/10.1037/h0027771

Sagib, G. K., & Zapan, B. (2014). Bangladeshi mobile banking service quality and customer satisfaction and loyalty. Management & Marketing, 9(3).

Sharif, A., & Raza, S. (2017). The influence of hedonic motivation, self-efficacy, trust and habit on adoption of internet banking: a case of developing country. International Journal of Electronic Customer Relationship Management, 11, 1.empirical investigation. Information Sciences, 150, 207-217. https://doi.org/10.1504/IJECRM.2017.086750

Sharma, R., Singh, G., & Sharma, S. (2020). Modelling internet banking adoption in Fiji: A developing country perspective. International Journal of Information Management, 53, 102116. doi:10.1016/j.ijinfomgt.2020.102116

Slama, M. E., & Tashchian, A. J. J. o. m. (1985). Selected socioeconomic and demographic characteristics associated with purchasing involvement. 49(1), 72-82. https://doi.org/10.1177/002224298504900107

Sohail, S., & Shanmugham, B. (2003). E-banking and customer preferences in Malaysia: An empirical investigation. https://doi.org/10.1016/S0020-0255(02)00378-X

Suh, B., & Han, I. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce Research and Applications, 1(3-4), 247-263. doi:10.1016/ S1567-4223(02)00017-0.

Sum Chau, V., & Ngai, L. W. (2010). The youth market for internet banking services Perceptions, attitude and behaviour. Journal of Services Marketing, 24(1), 42–60. https://doi.org/10.1108/08876041011017880

Taylor S, Todd P. Assessing IT usage the role of prior experience. MIS Quart 1995;19(4):561–70. https://doi.org/10.2307/249633

Vatanasombut, B., Igbaria, M., Stylianou, A. C., Rodgers, W. J. I., & management. (2008). Information systems continuance intention of web-based applications customers: The case of online banking. 45(7), 419-428. https://doi.org/10.1016/j.im.2008.03.005

Vejacka, M., &Štofa, T. (2017). Influence of security and trust on electronic banking adoption in Slovakia. E & M Ekonomie A Management, 20, 135-150. http://hdl.handle.net/11025/26616

Venkatesh, V., & Morris, M. G. J. M. q. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. 115-139. https://doi.org/10.2307/3250981

Venkatesh, V., Morris, M. G., Ackerman, P. L., 2000. A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. https://doi.org/10.1006/obhd.2000.2896

Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. doi:10.2307/30036540

Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157-178. doi:10.2307/41410412

Wang, T., Jung, C.-H., Kang, M.-H., Chung, Y.-S. J. B., & Technology, I. (2014). Exploring determinants of adoption intentions towards Enterprise 2.0 applications: an empirical study. 33(10), 1048-1064. https://doi.org/10.1080/0144929X.2013.781221

Wang, Y.-S., Wang, Y.-M., Lin, H.-H., & Tang, T.-I. (2003). Determinants of user acceptance of Internet banking: An empirical study. International Journal of Service Industry Management, 14(5), 501–519. https://doi.org/10.1108/09564230310500192

Weerakkody, V. J. P., El-Haddadeh, R., Al-Sobhi, F., et al. (2013). Examining the influence of intermediaries in facilitating e-government adoption: An empirical in- vestigation. International Journal of Information Management, 33(5), 716–725, doi: https://doi.org/10.1016/j.ijinfomgt.2013.05.001

Yuen, Y. Y., Yeow, P. H., Lim, N., & Saylani, N. (2010). Internet banking adoption: Comparing developed and developing countries. Journal of Computer Information Systems, 51(1), 52-61. doi/abs/10.1080/08874417.2010.11645449

Zhang, L., Zhu, J., & Liu, Q. J. C. i. h. b. (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. 28(5), 1902-1911. https://doi.org/10.1016/j.chb.2012.05.008

Zhou, T. (2011). An empirical examination of initial trust in Mobile banking. Internet Research, 21(5), 527–540. https://doi.org/10.1108/10662241111176353

Zhou, T. (2012). Understanding users’ initial trust in Mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 28(4),1518–1525. https://doi.org/10.1016/j.chb.2012.03.021

Zhou, T., Lu, Y., & Wang, B. J. C. i. h. b. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. 26(4), 760-767. https://doi.org/10.1016/j.chb.2010.01.013

How to Cite
Akter, S., Kabir, N., & Reza, T. (2021). Unfolding factors behind internet-banking adoption in Bangladesh: An extension of UTAUT2 with perceived security and trust. The Journal of Management Theory and Practice (JMTP), 2(2), 51-63. https://doi.org/10.37231/jmtp.2021.2.2.111
Marketing & Management