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Technology Acceptance Model for the Internet Banking Acceptance in Split

Author

Listed:
  • Vuković Marija

    (University of Split, Faculty of Economics, Split, Croatia)

  • Pivac Snježana

    (University of Split, Faculty of Economics, Split, Croatia)

  • Kundid Duje

    (SeekandHit, Split, Croatia)

Abstract

Background: In today’s dynamic environment, electronic banking and electronic commerce have become an inevitable aspect of financial services, so the question of acceptance and use of this kind of technology arises.Objectives: The aim of this research is to determine whether the motivation for using the Internet banking in the city of Split, Croatia, can be explained by perceived ease of use and perceived usefulness as the main elements of the technology acceptance model.Methods/Approach: For the purposes of the research, a survey analysis was applied to the sample of 282 working residents of Split. The gender and age structure of the sample was harmonized with the population to make the results more credible. In order to test the research hypothesis, logistic regression models were used.Results: The results confirmed that both elements of the technology acceptance model significantly influence the acceptance of the Internet banking in the city of Split.Conclusions: It is concluded that demographic and economic characteristics and perception of individuals affect the acceptance and use of the Internet banking in the city of Split. The results showed that both elements of the technology acceptance model influence the acceptance of the Internet banking.

Suggested Citation

  • Vuković Marija & Pivac Snježana & Kundid Duje, 2019. "Technology Acceptance Model for the Internet Banking Acceptance in Split," Business Systems Research, Sciendo, vol. 10(2), pages 124-140, September.
    • Handle: RePEc:bit:bsrysr:v:10:y:2019:i:2:p:124-140:n:9
    DOI: 10.2478/bsrj-2019-022
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    References listed on IDEAS

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    1. 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.
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    More about this item

    Keywords

    internet banking; logistic regression; survey analysis; technology acceptance model (TAM);
    All these keywords.

    JEL classification:

    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other

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