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Technology Acceptance of E-Banking Services in an Unnatural Environment

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  • Adeyemi AdepojuORCID iD verified by the author (show author details)

    Adeyemi Adepoju

    Federal University of Technology, Akure, Department of Project Management Technology, Akure, Nigeria

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    • Adebola Adeniji (show author details)

      Adebola Adeniji

      Federal University of Technology, Akure, Department of Project Management Technology, Akure, Nigeria, Nigeria

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      Adepoju, A., & Adeniji, A. (2020). Technology Acceptance of E-Banking Services in an Unnatural Environment. SEISENSE Journal of Management, 3(3), 34-50. https://doi.org/10.33215/sjom.v3i3.336

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      Abstract

      Purpose- The effect of technology acceptance of e-banking services on satisfaction has been well studied in a system. It is characterized as being in a state of orderliness; however, there is the dearth of study in an unnatural environment, among others. 

      Design/Methodology- Data were collected through a structured questionnaire from 304 staff of Federal Medical Centre, Owo, Nigeria, that were selected using a random sampling technique. The study hypotheses were assessed with PLS-SEM methodology.

      Findings- Findings from the study suggest that the customers’ level of perceived usefulness of e-banking pays more considerable attention to the e-banking channels, implying that the usefulness of the technology is considered crucial among the respondents. The SEM results showed that the relationship was positive and significant with small effects.

      Practical Implications- Customers of e-banking placed emphasis on perceived usefulness in an environment characterized as unnatural.

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      2025-122026-11

      Article history

      1. ReceivedMarch 15, 2020
      2. AcceptedApril 22, 2020
      3. Published May 6, 2020

      References

      Agrebi, S., & Jallais, J. (2015). Explain the intention to use smartphones for mobile shopping. Journal of Retailing and Consumer Services, 22, 16–23. https://doi.org/10.1016/j.jretconser.2014.09.003 CrossrefGoogle Scholar

      Akinwale, Y. O., & Adepoju, A. O. (2019). Factors influencing willingness to adopt renewable energy technologies among micro and small enterprises in Lagos state Nigeria. International Journal of Sustainable Energy Planning and Management, 19. https://doi.org/10.5278/ijsepm.2019.19.7

      Akinyemi, I. O., Asani, E. O. & Adigun, A. A. (2013). An Investigation of Users ’ Acceptance and Satisfaction of E-Banking System as a Panacea towards a Cashless Economy in Nigeria. Journal of Emerging Trends in Computing and Information Sciences, 4(12), 954–963.

      Amin, M. (2016). Internet banking service quality and its implication on e-customer satisfaction and e-customer loyalty. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-10-2014-0139 CrossrefGoogle Scholar

      Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, 5(3), 258–274. https://doi.org/10.1108/NBRI-01-2014-0005 CrossrefGoogle Scholar

      Aregbeshola, B. S., & Khan, S. M. (2017). Primary health care in Nigeria: 24 years after Olikoye Ransome-Kuti’s leadership. In Frontiers in Public Health. https://doi.org/10.3389/FPUBH.2017.00048 CrossrefGoogle Scholar

      Ayo, C. k., Oni, A. A., Adewoye, O. J., & Eweoya, I. O. (2016). E-banking users’ behaviour: e-service quality, attitude, and customer satisfaction. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-12-2014-0175 CrossrefGoogle Scholar

      Bagozzi, R., & Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/https://doi.org/10.1007/BF02723327 CrossrefGoogle Scholar

      Chen, S. C., Chen, H. H., & Chen, M. F. (2009). Determinants of satisfaction and continuance intention towards self-service technologies. Industrial Management and Data Systems, 109(9), 1248–1263. https://doi.org/10.1108/02635570911002306 CrossrefGoogle Scholar

      Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems. https://doi.org/10.2307/249008 CrossrefGoogle Scholar

      Ding, Z., Saide, S., Siti Astuti, E., Muwardi, D., Najamuddin, N., Jannati, M., & Herzavina, H. (2019). An adoption of acceptance model for the multipurpose system in university library. Economic Research-Ekonomska Istrazivanja, 32(1), 2393–2403. https://doi.org/10.1080/1331677X.2019.1635898 CrossrefGoogle Scholar

      Gefen, D., & Straub, D. (2005). A Practical Guide To Factorial Validity Using PLSGraph: Tutorial And Annotated Example. Communications of the Association for Information Systems, 16(5), 91–109. https://doi.org/DOI: 10.17705/1CAIS.01605 CrossrefGoogle Scholar

      Gbongli, K., Xu, Y., & Amedjonekou, K. M. (2019). Extended technology acceptance model to predict mobile-based money acceptance and sustainability: A multi-analytical structural equation modeling and neural network approach. Sustainability (Switzerland), 11(13), 1–33. https://doi.org/10.3390/su11133639 CrossrefGoogle Scholar

      George, A., & Kumar, G. S. G. (2013). Antecedents of Customer Satisfaction In Internet Banking: Technology Acceptance Model (TAM) Redefined. Global Business Review, 14(4), 627–638. https://doi.org/10.1177/0972150913501602 CrossrefGoogle Scholar

      Ghani, M. A., Rahi, S., & Yasin, N. M. (2017). Adoption of Internet Banking : Extending the Role of Technology Acceptance Model ( TAM ) with E-Customer Service and Customer Satisfaction Graduate School of Business, Universiti Kebangsaan Malaysia. World Applied Sciences Journal, 35(9), 1918–1929. https://doi.org/10.5829/idosi.wasj.2017.1918.1929

      Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (J. Hair (ed.); Second Edi). Sage.

      Hair, Joe F, Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). The Results of PLS-SEM Article information. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203 CrossrefGoogle Scholar

      Hair, Joseph F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203 CrossrefGoogle Scholar

      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, 115–135. https://doi.org/DOI 10.1007/s11747-014-0403-8 CrossrefGoogle Scholar

      Herath, T., & Rao, H. R. (2009). Protection motivation and deterrence: A framework for security policy compliance in organisations. European Journal of Information Systems. https://doi.org/10.1057/ejis.2009.6 CrossrefGoogle Scholar

      Isaac, O., Abdullah, Z., Ramayah, T., & Mutahar, A. M. (2017). Internet Usage within Government Institutions in Yemen: An Extended Technology Acceptance Model (TAM) with Internet Self-Efficacy and Performance Impact. Science International, 29(4), 737–747.

      Isaac, O., Abdullah, Z., Ramayah, T., Mutahar, A. M., & Alrajawy, I. (2018). Integrating User Satisfaction and Performance Impact with Technology Acceptance Model (TAM) to Examine the Internet Usage Within Organizations in Yemen. Asian Journal of Information Technology, 17(1), 60–78. https://doi.org/10.3923/ajit.2018.60.78

      Islam, A. Y. M. A. (2011). Viability of the extended technology acceptance model: An empirical study. Journal of Information and Communication Technology.

      Israel Glenn.D. (1992). Determining sample size degree of variability strategies for determining sample size. 1IFAS, University of Florida. https://doi.org/10.1016/j.envpol.2016.06.041

      Kannabiran, G., & Narayan, P. C. (2005). Deploying Internet banking and e-commerce—case study of a private-sector bank in India. Information Technology for Development. https://doi.org/10.1002/itdj.20025 CrossrefGoogle Scholar

      Karjaluoto, H., Jarvenpaa, L., & Kauppi, V. (2009). Antecedents of online banking satisfaction and loyalty: empirical evidence from Finland. International Journal of Electronic Finance, 3(3), 253. https://doi.org/10.1504/ijef.2009.027849 CrossrefGoogle Scholar

      Ololade, B., & Ogbeide, S. (2017). E-Bankingg in Nigeria: Issues and Challenges. Research Journal of Finance and Accounting, 8(6), 16–24. https://www.researchgate.net/publication/318491505_E-Banking_in_Nigeria_Issues_and_Challenges

      Pearson, A., Tadisina, S., & Griffin, C. (2012). The Role of E-Service Quality and Information Quality in Creating Perceived Value: Antecedents to Web Site Loyalty. Information Systems Management, 29(3), 201–215. https://doi.org/DOI: 10.1080/10580530.2012.687311 CrossrefGoogle Scholar

      Sedgwick, S. (2017). Retail Banking Remuneration Review Report. Retail Banking Remuneration Review.

      Tandon, U., Kiran, R., & Sah, A. N. (2016). Analysing the complexities of website functionality, perceived ease of use and perceived usefulness on customer satisfaction of online shoppers in India. International Journal of Electronic Marketing and Retailing, 7(2), 115–140. https://doi.org/10.1504/IJEMR.2016.077118 CrossrefGoogle Scholar

      Tang, T.-W., & Huang, R.-T. (2015). The Relationships among Trust, E-satisfaction, E-loyalty, and Customer Online Behaviors. International Journal of Business and Industrial Marketing, 1(2), 16–25. http://www.aascit.org/journal/ijbim

      Tehseen, S., Ahmed, F. U., Qureshi, Z. H., Uddin, M. J., & Ramayah, T. (2019). Entrepreneurial competencies and SMEs’ growth: the mediating role of network competence. Asia-Pacific Journal of Business Administration. https://doi.org/https://doi.org/10.1108/ APJBA-05-2018-0084 CrossrefGoogle Scholar

      Vuković, M., Pivac, S., & Kundid, D. (2019). Technology Acceptance Model for the Internet Banking Acceptance in Split. Business Systems Research, 10(2), 124–140. https://doi.org/10.2478/bsrj-2019-022 CrossrefGoogle Scholar

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