IDEAS home Printed from https://ideas.repec.org/a/pal/jofsma/v29y2024i1d10.1057_s41264-022-00182-9.html
   My bibliography  Save this article

An empirical study to explore the influence of the COVID-19 crisis on consumers' behaviour towards cashless payment in Malaysia

Author

Listed:
  • Ming-Pey Lu

    (Universiti Utara Malaysia)

  • Zunarni Kosim

    (Universiti Utara Malaysia)

Abstract

To move into a cashless society, it is important to investigate how consumers’ behaviour changes, particularly in response to extraordinary circumstances. Despite the movement restrictions implemented, the acceleration of e-commerce, initiatives taken by the government, and the modern payment system in Malaysia, cash remains the prevalent payment method. Hence, this study investigates how the coronavirus disease (COVID-19) crisis influenced consumers’ perceptions and determines factors contributing to consumers’ behavioural intention to use cashless payment. The research framework for this study is based on the unified theory of acceptance and use of technology (UTAUT). The study collected a total of 463 responses from the online survey. The data of this study were analysed using partial least square modelling techniques. This study demonstrates that the crisis significantly and positively influences consumers’ perceptions of performance expectancy, effort expectancy, social influence, and facilitating conditions. All of these factors explain consumers’ behavioural intention to use cashless payment, except facilitating conditions. The findings acknowledge the impact of the health crisis on consumer perceptions and influence their behavioural intentions to use cashless payment.

Suggested Citation

  • Ming-Pey Lu & Zunarni Kosim, 2024. "An empirical study to explore the influence of the COVID-19 crisis on consumers' behaviour towards cashless payment in Malaysia," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(1), pages 33-44, March.
  • Handle: RePEc:pal:jofsma:v:29:y:2024:i:1:d:10.1057_s41264-022-00182-9
    DOI: 10.1057/s41264-022-00182-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41264-022-00182-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41264-022-00182-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Maja Iskandar & Hartoyo Hartoyo & Irman Hermadi, 2020. "Analysis of Factors Affecting Behavioral Intention and Use of Behavioral of Mobile Banking Using Unified Theory of Acceptance and Use of Technology 2 Model Approach," International Review of Management and Marketing, Econjournals, vol. 10(2), pages 41-49.
    2. Wilert Puriwat & Suchart Tripopsakul, 2021. "Explaining Social Media Adoption for a Business Purpose: An Application of the UTAUT Model," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    3. Ping Qiao & Xiaoman Zhu & Yangzhi Guo & Ying Sun & Chuan Qin, 2021. "The Development and Adoption of Online Learning in Pre- and Post-COVID-19: Combination of Technological System Evolution Theory and Unified Theory of Acceptance and Use of Technology," JRFM, MDPI, vol. 14(4), pages 1-17, April.
    4. Vusumuzi Maphosa & Bekithemba Dube & Thuthukile Jita, 2020. "A UTAUT Evaluation of WhatsApp as a Tool for Lecture Delivery During the COVID-19 Lockdown at a Zimbabwean University," International Journal of Higher Education, Sciedu Press, vol. 9(5), pages 1-84, October.
    5. Chun-Nan Chang & Ting-Hsiu Liao & Hao-Chen Huang, 2022. "Investigating the Acceptance of Marine Ecotourism after the COVID-19 Pandemic in Taiwan," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    6. 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.
    7. Marvello Yang & Abdullah Al Mamun & Muhammad Mohiuddin & Noorshella Che Nawi & Noor Raihani Zainol, 2021. "Cashless Transactions: A Study on Intention and Adoption of e-Wallets," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    8. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    9. Mah Laka & Adriana Milazzo & Tracy Merlin, 2021. "Factors That Impact the Adoption of Clinical Decision Support Systems (CDSS) for Antibiotic Management," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    10. Martins, Carolina & Oliveira, Tiago & Popovič, Aleš, 2014. "Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application," International Journal of Information Management, Elsevier, vol. 34(1), pages 1-13.
    11. Shelly Gupta & Sanjay Dhingra, 2022. "Modeling the key factors influencing the adoption of mobile financial services: an interpretive structural modeling approach," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 27(2), pages 96-110, June.
    12. 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.
    13. Allicia Deana Santosa & Nuryanti Taufik & Faizal Haris Eko Prabowo & Mira Rahmawati, 2021. "Continuance intention of baby boomer and X generation as new users of digital payment during COVID-19 pandemic using UTAUT2," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(4), pages 259-273, December.
    14. Erjavec, Jure & Manfreda, Anton, 2022. "Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    15. Savitha Basri, 2018. "Determinants of adoption of mobile banking: evidence from rural Karnataka in India," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 11(1/2), pages 77-86.
    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. 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.
    2. Camilleri, Mark Anthony & Camilleri, Adriana Caterina, 2022. "Remote learning via video conferencing technologies: Implications for research and practice," Technology in Society, Elsevier, vol. 68(C).
    3. 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.
    4. Mehra, Aashish & Rajput, Sneha & Paul, Justin, 2022. "Determinants of adoption of latest version smartphones: Theory and evidence," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Abhishek Behl & Pankaj Dutta & Zongwei Luo & Pratima Sheorey, 2022. "Enabling artificial intelligence on a donation-based crowdfunding platform: a theoretical approach," Annals of Operations Research, Springer, vol. 319(1), pages 761-789, December.
    6. Akansha Mer & Amarpreet Singh Virdi, 2023. "Modeling Millennials’ Adoption Intentions of E-banking: Extending UTAUT with Perceived Risk and Trust," FIIB Business Review, , vol. 12(4), pages 425-438, December.
    7. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    8. Le Tung Bach, 2023. "The behavioral intention to adopt Proptech services in Vietnam real estate market," Papers 2312.06994, arXiv.org.
    9. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    10. Farah Alfanur & Yasuo Kadono, 2020. "Empirical Study Of Purchase Intention And Behavior Of E-Commerce Consumers In Indonesia," Malaysian E Commerce Journal (MECJ), Zibeline International Publishing, vol. 5(1), pages 20-28, December.
    11. Jonas Wanner & Lukas-Valentin Herm & Kai Heinrich & Christian Janiesch, 2022. "The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2079-2102, December.
    12. Justyna Rój, 2022. "What Determines the Acceptance and Use of eHealth by Older Adults in Poland?," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    13. Tengku Ikmal Hakimi & Johanna Abdullah Jaafar & Nor Azah Abdul Aziz, 2023. "What factors influence the usage of mobile banking among digital natives?," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(4), pages 763-778, December.
    14. Masoome Abikari & Peter Öhman & Darush Yazdanfar, 2023. "Negative emotions and consumer behavioural intention to adopt emerging e-banking technology," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(4), pages 691-704, December.
    15. George Konteos & Vaggelis Saprikis & Giorgos Avlogiaris & Aristides Papathomas, 2023. "An Extended UTAUT Model to Explore the Influential Factors towards M-Banking Apps’ Use," International Journal of Business and Management, Canadian Center of Science and Education, vol. 17(7), pages 1-29, February.
    16. Sreenivasan Jayashree & Mohammad Nurul Hassan Reza & Chinnasamy Agamudai Nambi Malarvizhi & Hesti Maheswari & Zohre Hosseini & Azilah Kasim, 2021. "The Impact of Technological Innovation on Industry 4.0 Implementation and Sustainability: An Empirical Study on Malaysian Small and Medium Sized Enterprises," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    17. Tommy Tanu Wijaya & Yiming Cao & Robert Weinhandl & Eri Yusron & Zsolt Lavicza, 2022. "Applying the UTAUT Model to Understand Factors Affecting Micro-Lecture Usage by Mathematics Teachers in China," Mathematics, MDPI, vol. 10(7), pages 1-20, March.
    18. Hyeon Jo & Youngsok Bang, 2024. "From storefront to screen: an in-depth analysis of the dynamics of online for offline retailing," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    19. Perdana, Arif & Lee, Hwee Hoon & Arisandi, Desi & Koh, SzeKee, 2022. "Accelerating data analytics adoption in small and mid-size enterprises: A Singapore context," Technology in Society, Elsevier, vol. 69(C).
    20. Ponzoa, José M. & Gómez, Andrés & Villaverde, Silvia & Díaz, Vicente, 2021. "Technologically empowered? perception and acceptance of AR glasses and 3D printers in new generations of consumers," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

    More about this item

    Keywords

    Cashless payment; Consumer behaviour; COVID-19; Unified theory of acceptance and use of technology model; PLS-SEM;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • D10 - Microeconomics - - Household Behavior - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:pal:jofsma:v:29:y:2024:i:1:d:10.1057_s41264-022-00182-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.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.