IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021i4p1018-1046.html
   My bibliography  Save this article

Factors Affecting Mobile Banking Adoption in Poland: An Empirical Study

Author

Listed:
  • 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), pages 1018-1046.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:4:p:1018-1046
    as

    Download full text from publisher

    File URL: https://www.ersj.eu/journal/2648/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Vuong, Bui Nhat, 2020. "An Empirical Analysis of Mobile Banking Adoption in Vietnam," OSF Preprints 94zxp, Center for Open Science.
    3. 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.
    4. Wang, Ying & Tu, Yundong & Chen, Song Xi, 2016. "Improving inflation prediction with the quantity theory," Economics Letters, Elsevier, vol. 149(C), pages 112-115.
    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. 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.
    8. Bruno J.D. Jacobs & Bas Donkers & Dennis Fok, 2016. "Model-Based Purchase Predictions for Large Assortments," Marketing Science, INFORMS, vol. 35(3), pages 389-404, May.
    9. Sindhu Singh & R. K. Srivastava, 0. "Understanding the intention to use mobile banking by existing online banking customers: an empirical study," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 0, pages 1-11.
    10. 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).
    11. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Predicting the yield curve using forecast combinations," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 79-98.
    12. 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.
    13. Joel Denning & Maria Soledad Pera & Yiu-Kai Ng, 2016. "A readability level prediction tool for K-12 books," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 550-565, March.
    14. 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.
    15. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ashraf Hilal & Concepción Varela-Neira, 2022. "Understanding Consumer Adoption of Mobile Banking: Extending the UTAUT2 Model with Proactive Personality," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    2. Jadil, Yassine & Rana, Nripendra P. & Dwivedi, Yogesh K., 2021. "A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture," Journal of Business Research, Elsevier, vol. 132(C), pages 354-372.
    3. Su-Chen(Cecilia) Lin & Mei-Chen Chuang & Chen-Yuan Huang & Chia-En Liu, 2023. "Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    4. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.
    5. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    6. Kamal Abubker Abrahim Sleiman & Lan Juanli & Hongzhen Lei & Ru Liu & Yuanxin Ouyang & Wenge Rong, 2021. "User Trust levels and Adoption of Mobile Payment Systems in China: An Empirical Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    7. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    8. Rishi Manrai & Kriti Priya Gupta, 2023. "Investor’s perceptions on artificial intelligence (AI) technology adoption in investment services in India," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 1-14, March.
    9. Muhammad Anshari & Munirah Ajeerah Arine & Norzaidah Nurhidayah & Hidayatul Aziyah & Md Hasnol Alwee Salleh, 2021. "Factors influencing individual in adopting eWallet," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(1), pages 10-23, March.
    10. Anastasios-Ioannis Theocharidis & Maria Argyropoulou & George Karavasilis & Vasiliki Vrana & Evangelos Kehris, 2020. "An Approach towards Investigating Factors Affecting Intention to Book a Hotel Room through Social Media," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    11. Peng, Zeyu & Sun, Yongqiang & Guo, Xitong, 2018. "Antecedents of employees’ extended use of enterprise systems: An integrative view of person, environment, and technology," International Journal of Information Management, Elsevier, vol. 39(C), pages 104-120.
    12. Paul Juinn Bing Tan, 2019. "An Empirical Study of How the Learning Attitudes of College Students toward English E-Tutoring Websites Affect Site Sustainability," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    13. Jain, Geetika & Kamble, Sachin S. & Ndubisi, Nelson Oly & Shrivastava, Archana & Belhadi, Amine & Venkatesh, Mani, 2022. "Antecedents of Blockchain-Enabled E-commerce Platforms (BEEP) adoption by customers – A study of second-hand small and medium apparel retailers," Journal of Business Research, Elsevier, vol. 149(C), pages 576-588.
    14. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2020. "Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 229(C).
    15. Ioanna Roussou & Emmanouil Stiakakis & Angelo Sifaleras, 2019. "An empirical study on the commercial adoption of digital currencies," Information Systems and e-Business Management, Springer, vol. 17(2), pages 223-259, December.
    16. S. Ananda & Sonal Devesh & Anis Moosa Al Lawati, 2020. "What factors drive the adoption of digital banking? An empirical study from the perspective of Omani retail banking," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 25(1), pages 14-24, June.
    17. Ravi Seethamraju & Krishna Sundar Diatha & Shashank Garg, 2018. "Intention to Use a Mobile-Based Information Technology Solution for Tuberculosis Treatment Monitoring – Applying a UTAUT Model," Information Systems Frontiers, Springer, vol. 20(1), pages 163-181, February.
    18. 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.
    19. Afful Ekow Kelly & Sellappan Palaniappan, 2023. "Using a technology acceptance model to determine factors influencing continued usage of mobile money service transactions in Ghana," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-24, December.
    20. Mihaela Moca & Alina Badulescu, 2023. "Determinants of Economical High School Students’ Attitudes toward Mobile Devices Use," Sustainability, MDPI, vol. 15(12), pages 1-21, June.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ers:journl:v:xxiv:y:2021:i:4:p:1018-1046. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.