IDEAS home Printed from https://ideas.repec.org/a/ers/ijebaa/vixy2021i1p331-346.html
   My bibliography  Save this article

Investigation of Factors Influencing Students’ Intention to Use Banking Services through Smartphone Devices during COVID-19 Pandemic

Author

Listed:
  • Chompu Nuangjamnong

Abstract

Purpose: This research aims to Investigate factors Influencing students’ intention to use banking services through smartphone devices during the COVID-19 pandemic. The conceptual framework is presented on the element of independent variables; perceived usefulness, perceived ease of use, relative advantage, and social influence factors Influencing students’ intention and actual usage of banking services through smartphone devices during the COVID-19 pandemic. Design/Methodology/Approach: The sample (n = 400) was collected from online questionnaires by using multi-stage sampling, including simple random sampling, stratified random sampling in probability sampling, and then non-probability sampling consist of convenience sampling and snowball sampling from graduate students of the top five private universities in the Bangkok metropolitan which approximately were 18,778 students. The study applied the data analysis method consisting of Cronbach’s Alpha, descriptive statistics, simple linear regression (SLR), and multiple linear regression (MLR). Findings: The results indicated the element of independent variables; perceived usefulness, perceived ease of use, and relative advantage have a significant influence on students’ intention to use toward actual usage mobile banking services through smartphone devices during the COVID-19 pandemic except for one variable that has not supported which is social influence. Practical Implications: Thus, the study recommends that the commercial banks and the universities as service providers should pay attention to expanding the internet access area for mobile banking services as universities‘ infrastructure. Universities recommended providing guidelines and appropriate training for using mobile banking services in clear steps, and commercial banks need to keep improving and upgrading their mobile banking services. Originality/Value: This study identifies the value and degree of factors influencing students’ intention to use banking services through smartphone devices during the COVID-19 pandemic.

Suggested Citation

  • Chompu Nuangjamnong, 2021. "Investigation of Factors Influencing Students’ Intention to Use Banking Services through Smartphone Devices during COVID-19 Pandemic," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 331-346.
  • Handle: RePEc:ers:ijebaa:v:ix:y:2021:i:1:p:331-346
    as

    Download full text from publisher

    File URL: https://www.ijeba.com/journal/676/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    2. Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    3. Ceva Lavenja Arahita & Jurry Hatammimi, 2015. "Factors Affecting the Intention to Reuse Mobile Banking Service," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 4(4), pages 15-32, October.
    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. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    2. Siti Salwa Mohd Ishak & Sidney Newton, 2018. "Testing a Model of User Resistance Towards Technology Adoption in Construction Organizations," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-27, December.
    3. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    4. Ritu Agarwal & V. Sambamurthy & Ralph M. Stair, 2000. "Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment," Information Systems Research, INFORMS, vol. 11(4), pages 418-430, December.
    5. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    6. Herbjørn Nysveen & Per Egil Pedersen, 2016. "Consumer adoption of RFID-enabled services. Applying an extended UTAUT model," Information Systems Frontiers, Springer, vol. 18(2), pages 293-314, April.
    7. Irfan Bashir & C. Madhavaiah, 2014. "Determinants of Young Consumers’ Intention to Use Internet Banking Services in India," Vision, , vol. 18(3), pages 153-163, September.
    8. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 55-67, June.
    9. 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.
    10. Vaggelis Saprikis & Giorgos Avlogiaris, 2023. "Modeling users’ acceptance of mobile social commerce: the case of ‘Instagram checkout’," Electronic Commerce Research, Springer, vol. 23(1), pages 511-540, March.
    11. Young Mee Shin & Seung Chang Lee & Bongsik Shin & Ho Geun Lee, 2010. "Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes," Information Systems Frontiers, Springer, vol. 12(5), pages 595-606, November.
    12. Lee, Kyootai & Yan, Aihua & Joshi, Kailash, 2011. "Understanding the dynamics of users’ belief in software application adoption," International Journal of Information Management, Elsevier, vol. 31(2), pages 160-170.
    13. Zeng, Zhongping & Cleon, Christian Bobby, 2018. "Factors affecting the adoption of a land information system: An empirical analysis in Liberia," Land Use Policy, Elsevier, vol. 73(C), pages 353-362.
    14. Aziz Barhmi & Omar Hajaji, 2023. "Multidisciplinary Approach to Supply Chain Resilience: Conceptualization and Scale Development," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 43-69.
    15. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    16. Elbanna, Amany & Newman, Mike, 2022. "The bright side and the dark side of top management support in Digital Transformaion –A hermeneutical reading," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    17. 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.
    18. 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.
    19. Schweizer, T.S., 2002. "Managing interactions between technological and stylistic innovation in the media industries, insights from the introduction of ebook technology in the publishing industry," ERIM Report Series Research in Management ERS-2002-16-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Severin Oesterle & Arne Buchwald & Nils Urbach, 2022. "Investigating the co-creation of IT consulting service value: empirical findings of a matched pair analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 571-597, June.

    More about this item

    Keywords

    Perceived usefulness; perceived ease of use; relative advantage; social influence; student intention to use; actual usage; mobile banking services.;
    All these keywords.

    JEL classification:

    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • J54 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Producer Cooperatives; Labor Managed Firms
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

    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:ijebaa:v:ix:y:2021:i:1:p:331-346. 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://ijeba.com/ .

    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.