IDEAS home Printed from https://ideas.repec.org/a/hig/fsight/v9y2015i3p26-39.html
   My bibliography  Save this article

Mobile Banking in Russia: User Intention towards Adoption

Author

Listed:
  • Veronika Belousova

    (National Research University Higher School of Economics (Russian Federation))

  • Nikolay Chichkanov

    (National Research University Higher School of Economics (Russian Federation))

Abstract

Mobile banking is currently one of the most dynamic and rapid growth types of distance banking services. In recent years in Russia, the number of individual bank accounts that can be accessed remotely using mobile devices has increased by more than 20 times. With every year, an increasing number of banks offer mobile banking services. Nevertheless, the popularity of mobile banking applications is lower than the popularity of other banking services. Thus the problem of mobile banking adoption by customers remains an extremely important problem. This paper analyses foreign surveys on the incentives for using mobile banking. The model developed by the authors is based on well-known theoretical and empirical approaches and takes into account particular features of Russia’s economy and society. As a theoretical basis, we use the most widespread theories about technology acceptance and innovation diffusion. Using a structural equation modeling (SEM) approach, we verified that the key incentives for using mobile banking by mobile Internet users — are perceived usefulness and perceived efforts. Our results confirm those of most similar foreign surveys. Our findings also have ‘real world’ significance as they may help financial institutions better understand the latest developments of mobile banking in Russia.

Suggested Citation

  • Veronika Belousova & Nikolay Chichkanov, 2015. "Mobile Banking in Russia: User Intention towards Adoption," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 9(3), pages 26-39.
  • Handle: RePEc:hig:fsight:v:9:y:2015:i:3:p:26-39
    as

    Download full text from publisher

    File URL: http://foresight-journal.hse.ru/data/2015/10/01/1074299935/2-Belousova-26-39.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    • Veronika Belousova & Nikolay Chichkanov, 2015. "Mobile Banking in Russia: User Intention towards Adoption," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 9(3 (eng)), pages 26-39.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Veronika Belousova & Nikolay Chichkanov, 2015. "Mobile Banking Adoption in Russia: What Incentives Matter?," HSE Working papers WP BRP 48/STI/2015, National Research University Higher School of Economics.

    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. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    2. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    3. Awni Rawashdeh, 2013. "Study Toward The Understanding Of Behavioral Intention To Use A Customer Relationship Management (Crm) Systems," Far East Journal of Psychology and Business, Far East Research Centre, vol. 12(1), pages 1-11, September.
    4. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    5. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    6. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    7. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    8. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.
    9. Issa Mohamed Al Dafaei & Zurida Ismail & Mohd Ali Samsudin & Firas Jalal Shakir, 2013. "The Mediating Effect of Self-Efficacy towards the Relationship Between Attitudes And Level of Use Towards Instructional Computer Technology in Oman," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 3(12), pages 2382-2398, December.
    10. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    11. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    12. Mbassi, Christophe Martial & Messono, Omang Ombolo, 2023. "Historical technology and current economic development: Reassessing the nature of the relationship," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    13. Luke Butcher & Ian Phau & Min Teah, 2016. "Brand prominence in luxury consumption: Will emotional value adjudicate our longing for status?," Journal of Brand Management, Palgrave Macmillan, vol. 23(6), pages 701-715, November.
    14. Ahmed Ibrahim Alzahrani & T. Ramayah & Nalini Suppiah & Osama Alfarraj & Nasser Alalwan, 2020. "Modeling Blog Usage From a Developing Country Perspective Using Structural Equation Modeling (SEM)," SAGE Open, , vol. 10(3), pages 21582440209, July.
    15. Sudip Bhattacharjee & Lewis Shaw, 2001. "Evidence that independent research projects improve accounting students' technology-related perceptions and skills," Accounting Education, Taylor & Francis Journals, vol. 10(1), pages 83-103.
    16. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    17. Yavas, Volkan & Yavaş Tez, Özge, 2023. "Consumer intention over upcoming utopia: Urban air mobility," Journal of Air Transport Management, Elsevier, vol. 107(C).
    18. Bediako, Isaac Asare & Zhao, Xicang & Antwi, Henry Asante & Mensah, Claudia Nyarko, 2018. "Urban water supply systems improvement through water technology adoption," Technology in Society, Elsevier, vol. 55(C), pages 70-77.
    19. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    20. Nathanael Johnson & Torsten Reimer, 2023. "The Adoption and Use of Smart Assistants in Residential Homes: The Matching Hypothesis," Sustainability, MDPI, vol. 15(12), pages 1-16, June.

    More about this item

    Keywords

    mobile banking; structural equation modeling (SEM); acceptance of technology; perceived usefulness; effort expectancy; perceived risk;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    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:hig:fsight:v:9:y:2015:i:3:p:26-39. 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: Nataliya Gavrilicheva or Mikhail Salazkin (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    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.