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Evaluating the Perceived Quality of Mobile Banking Applications in Croatia: An Empirical Study

Author

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  • Tihomir Orehovački

    (Faculty of Informatics, Juraj Dobrila University of Pula, Zagrebačka 30, 52100 Pula, Croatia)

  • Luka Blašković

    (Faculty of Informatics, Juraj Dobrila University of Pula, Zagrebačka 30, 52100 Pula, Croatia)

  • Matej Kurevija

    (Faculty of Informatics, Juraj Dobrila University of Pula, Zagrebačka 30, 52100 Pula, Croatia)

Abstract

Mobile banking is nowadays a standard service provided by banks worldwide because it adds convenience for people. There is no more rushing to a bank or waiting in lines for a simple transaction that can be conducted from anywhere and at any time in the blink of an eye. To be consumed by a respective amount of bank clients regularly, mobile banking applications are required to be continuously improved and updated, be in line with recent security standards, and meet quality requirements. This paper tackles the perceived quality of mobile banking applications that are most commonly used in Croatia and has three objectives in that respect. The first one is to identify the extent to which pragmatic and hedonic dimensions of quality contribute to customers’ satisfaction and their behavioral intentions related to the continuous use of mobile banking applications. The second one is to determine if there are significant differences in the perceived quality between users of diverse mobile banking applications as well as between users who belong to different age groups. The last one is to uncover the advantages and disadvantages of evaluated mobile banking applications. For this purpose, an empirical study was carried out, during which data were collected with an online questionnaire. The sample was composed of 130 participants who are representative and regular users of mobile banking applications. The psychometric features of the proposed research model, which represents an interplay of perceived quality attributes, were tested using the partial least squares structural equation modeling (PLS-SEM) method. Differences in the perceived quality among different mobile banking applications and customers of various age groups were explored with Kruskal–Wallis tests. Pros and cons of mobile banking applications were identified with the help of descriptive statistics. Study findings indicate that, in the context of mobile banking applications used in Croatia, feedback quality and responsiveness contribute to the ease of use, usefulness is affected by both ease of use and efficiency, responsiveness has a significant impact on efficiency while ease of use, usefulness, and security of personal data are predictors of customers’ satisfaction which in turn influences their behavioral intentions. While no significant difference exists in the perceived quality of four examined mobile banking applications, we found a significant difference in the perceived quality among three age groups of users of mobile banking applications. The most commonly reported advantages of mobile banking applications were related to facets of their efficiency and usefulness, whereas their main drawback appeared to be the lack of features dealing with the personalization of offered services. The reported and discussed results of an empirical study can be used as a set of guidelines for future advances in the evaluation and design of mobile banking applications.

Suggested Citation

  • Tihomir Orehovački & Luka Blašković & Matej Kurevija, 2022. "Evaluating the Perceived Quality of Mobile Banking Applications in Croatia: An Empirical Study," Future Internet, MDPI, vol. 15(1), pages 1-24, December.
    • Handle: RePEc:gam:jftint:v:15:y:2022:i:1:p:8-:d:1015143
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    References listed on IDEAS

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    1. Jenny C. Aker & Isaac M. Mbiti, 2010. "Mobile Phones and Economic Development in Africa," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 207-232, Summer.
    2. Chaouali, Walid & Souiden, Nizar, 2019. "The role of cognitive age in explaining mobile banking resistance among elderly people," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 342-350.
    3. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    4. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    5. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    6. Shmueli, Galit & Ray, Soumya & Velasquez Estrada, Juan Manuel & Chatla, Suneel Babu, 2016. "The elephant in the room: Predictive performance of PLS models," Journal of Business Research, Elsevier, vol. 69(10), pages 4552-4564.
    7. Nhuong Bui & Zachary Moore & Hayden Wimmer & Long Pham, 2022. "Predicting Customer Loyalty in the Mobile Banking Setting: An Integrated Approach," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 14(1), pages 1-22, January.
    8. Nkosikhona Theoren Msweli & Tendani Mawela, 2021. "Financial Inclusion of the Elderly: Exploring the Role of Mobile Banking Adoption," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 2021(1), pages 1-21.
    Full references (including those not matched with items on IDEAS)

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