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Factors Affecting Mobile Banking Adoption in Poland: An Empirical Study

Author

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  • Malgorzata Solarz
  • Jacek Adamek

Abstract

Purpose: The research purpose of this study is to identify and assess the impact of factors in the adoption of mobile banking services (MB) based on the example of data from Poland. Approach/Methodology/Design: The following research methods were used, critical analysis of the source literature, the diagnostic survey method and the Technology Acceptance Model (TAM). The empirical data come from the survey research conducted in 2021 using the CAWI (Computer-Assisted Web Interview) method and covering a representative sample of 1.030 Poles. Findings: The research findings indicate the follows: a/ Self-efficacy shows a significant positive impact on the Perceived risk and Perceived ease of use of mobile banking, b/ Perceived risk presents a significant positive impact on the Perceived ease of use and a significant, however, negative impact on the Actual usage of mobile banking services, c/ Perceived ease of use has a significant positive impact on the Perceived usefulness and Behavioral intention associated with the use of MB, and d/ Perceived usefulness shows a significant positive impact on Behavioral intention, and the latter have a significant and positive impact on the Actual usage of the discussed distribution channel for banking services. Practical Implications: The practical implications of this study suggest that, the managers of Polish banks should design mobile banking services perceived by their users as friendly, timely, uncomplicated, and safe. Originality/Value: The originality and value of the research is based on two pillars: (1) this study fills in the research gap in terms of applying the TAM model to analyze the factors having impact on the adoption of MB services by Poles; (2) in this research we intend to use the factor associated with the consequences of this pandemic, which has not been included in the source literature as yet, and which is one of the elements influencing the Perceived risk variable.

Suggested Citation

  • Malgorzata Solarz & Jacek Adamek, 2021. "Factors Affecting Mobile Banking Adoption in Poland: An Empirical Study," European Research Studies Journal, European Research Studies Journal, vol. 0(4 - Part ), pages 1018-1046.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:4-part1:p:1018-1046
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    1. Deborah R. Compeau & Christopher A. Higgins, 1995. "Application of Social Cognitive Theory to Training for Computer Skills," Information Systems Research, INFORMS, vol. 6(2), pages 118-143, June.
    2. Hong, Ilyoo B., 2015. "Understanding the consumer's online merchant selection process: The roles of product involvement, perceived risk, and trust expectation," International Journal of Information Management, Elsevier, vol. 35(3), pages 322-336.
    3. Malaquias, Rodrigo F. & Hwang, Yujong, 2019. "Mobile banking use: A comparative study with Brazilian and U.S. participants," International Journal of Information Management, Elsevier, vol. 44(C), pages 132-140.
    4. Mohapatra, Malaya Ranjan & Moirangthem, Nirmalkumar Singh & Vishwakarma, Pankaj, 2020. "Mobile Banking Adoption Among Rural Consumers: Evidence from India," American Business Review, Pompea College of Business, University of New Haven, vol. 23(2), pages 300-315, November.
    5. Sindhu Singh & R. K. Srivastava, 2020. "Understanding the intention to use mobile banking by existing online banking customers: an empirical study," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 25(3), pages 86-96, December.
    6. 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.
    7. Zhaohua Deng & Yaobin Lu & Shimin Deng & Jinlong Zhang, 2010. "Exploring user adoption of mobile banking: an empirical study in China," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 9(3), pages 289-301.
    8. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    9. Sahar Afshan & Arshian Sharif & Nazneen Waseem & Reema Frooghi, 2018. "Internet banking in Pakistan: an extended technology acceptance perspective," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 27(3), pages 383-410.
    10. Viswanath Venkatesh & Xiaojun Zhang, 2010. "Unified Theory of Acceptance and Use of Technology: U.S. Vs. China," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 13(1), pages 5-27, January.
    11. James Agyei & Shaorong Sun & Eugene Abrokwah & Emmanuel Kofi Penney & Richmond Ofori-Boafo, 2020. "Mobile Banking Adoption: Examining the Role of Personality Traits," SAGE Open, , vol. 10(2), pages 21582440209, June.
    12. Qaisar Ali & Shazia Parveen & Hakimah Yaacob & Zaki Zaini, 2021. "Cardless Banking System in Malaysia: An Extended TAM," Risks, MDPI, vol. 9(2), pages 1-16, February.
    13. Bong Keun Jeong & Tom E Yoon, 2013. "An Empirical Investigation on Consumer Acceptance of Mobile Banking Services," Business and Management Research, Business and Management Research, Sciedu Press, vol. 2(1), pages 31-40, March.
    14. Sharma, Sujeet Kumar & Sharma, Manisha, 2019. "Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation," International Journal of Information Management, Elsevier, vol. 44(C), pages 65-75.
    15. Ho, Jonathan C. & Wu, Chorng-Guang & Lee, Chung-Shing & Pham, Thanh-Thao T., 2020. "Factors affecting the behavioral intention to adopt mobile banking: An international comparison," Technology in Society, Elsevier, vol. 63(C).
    16. Dass, Rajanish & Pal Sujoy, 2011. "A Meta Analysis on Adoption of Mobile Financial Services," IIMA Working Papers WP2011-01-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    17. Pappas, Nikolaos, 2016. "Marketing strategies, perceived risks, and consumer trust in online buying behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 92-103.
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    More about this item

    Keywords

    Banking; mobile banking; consumer intentions; technology acceptance model.;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F65 - International Economics - - Economic Impacts of Globalization - - - Finance
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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