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Factors Affecting the Internet Banking Adoption

Author

Listed:
  • Chang, Yung-Chi

    (Department of Finance, Southern Taiwan University of Science and Technology No. 1, Nan-Tai Street, Yungkang Dist., Tainan City 710, Taiwan R.O.C)

  • Enkhjargal, Uguumur

    (Global Master of Business Administration, Southern Taiwan University of Science and Technology No. 1, Nan-Tai Street, Yungkang Dist., Tainan City 710, Taiwan R.O.C)

  • Huang, Chen-I

    (Department of Visual Communication Design, Southern Taiwan University of Science and Technology No. 1, Nan-Tai Street, Yungkang Dist., Tainan City 710, Taiwan R.O.C)

  • Lin, Wen-Ling

    (Department of Digital Tourism Management, Nan Kai University of Technology No.568, Zhongzheng Rd., Caotun Township, Nantou County 542, Taiwan R.O.C.)

  • Ho, Chi-Ming

    (Department of Finance, Southern Taiwan University of Science and Technology No. 1, Nan-Tai Street, Yungkang Dist., Tainan City 710, Taiwan R.O.C)

Abstract

Internet banking is a beneficial service; it is less costly, offers the flexibility of time and space, and have excellent customer service. The commercial banks of Mongolia are offering internet banking to its customers to capitalize on its advantages. However, these services remain underutilized by their customers. The factors affecting the use of internet banking in Mongolia remain unknown. This study has integrated the E-service-quality model with the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) to investigate the factors affecting the use of internet banking services offered by the commercial banks in Mongolia. The data was collected through the survey method. Structured Equation Modeling (SEM) was used for the analysis. The results indicate that the E-service quality model is effective and robust. The hypotheses were supported by the data. Attitude, subjective norm, perceived behavioral control, perceived usefulness, and E-service quality were found to be the factors that affect customer’s intentions to use internet banking in Mongolia. In the end, the future recommendations, limitations, and implications of the research are discussed.

Suggested Citation

  • Chang, Yung-Chi & Enkhjargal, Uguumur & Huang, Chen-I & Lin, Wen-Ling & Ho, Chi-Ming, 2020. "Factors Affecting the Internet Banking Adoption," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(3), pages 117-131.
    • Handle: RePEc:ukm:jlekon:v:54:y:2020:i:3:p:117-131
    DOI: http://dx.doi.org/10.17576/JEM-2020-5403-9
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    References listed on IDEAS

    as
    1. Jon Hartwick & Henri Barki, 1994. "Explaining the Role of User Participation in Information System Use," Management Science, INFORMS, vol. 40(4), pages 440-465, April.
    2. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P. & Algharabat, Raed, 2018. "Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 125-138.
    6. Singh, Nidhi & Sinha, Neena & Liébana-Cabanillas, Francisco J., 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," International Journal of Information Management, Elsevier, vol. 50(C), pages 191-205.
    7. Ali Nazaritehrani & Behzad Mashali, 2020. "Development of E-banking channels and market share in developing countries," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-19, December.
    8. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    9. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    10. Claeskens,Gerda & Hjort,Nils Lid, 2008. "Model Selection and Model Averaging," Cambridge Books, Cambridge University Press, number 9780521852258.
    11. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    12. Kuisma, Tuire & Laukkanen, Tommi & Hiltunen, Mika, 2007. "Mapping the reasons for resistance to Internet banking: A means-end approach," International Journal of Information Management, Elsevier, vol. 27(2), pages 75-85.
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