IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/k5zbr.html
   My bibliography  Save this paper

Changing From E-Payment To M-Payment: The Role Of Switching Barriers

Author

Listed:
  • , Le Nguyen Hoang

    (Ho Chi Minh University of Banking)

Abstract

Despite the rapid proliferation of Internet-enabled mobile technology, empirical research has been undertaken only in a limited number of research areas. Other important topics, such as changing from e-payment to m-payment, have been almost absent. Thus, this study empirically investigated how switching barriers created from e-payment make customers reluctant to accept m-payment in Vietnam. The concepts of switching barriers were added to the Technology Acceptance Model due to its robust and consistent explanatory power within the context. The measurement model showed an acceptable explanatory power as 66.4% of the variance in behavioural intention was explained. However, the insignificant relationship between “perceived ease of use” and “attitude toward m-payment” raised questions regarding its role in the TAM. In terms of switching barriers, while “continuity cost” was found to be negatively related to intention, “attractiveness of epayment”, “sunk cost”, and “move-in cost” were found to have no significant influence on intention.

Suggested Citation

  • , Le Nguyen Hoang, 2017. "Changing From E-Payment To M-Payment: The Role Of Switching Barriers," OSF Preprints k5zbr, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:k5zbr
    DOI: 10.31219/osf.io/k5zbr
    as

    Download full text from publisher

    File URL: https://osf.io/download/6373cebcadee8f006c508da9/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/k5zbr?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
    ---><---

    References listed on IDEAS

    as
    1. Olshavsky, Richard W & Granbois, Donald H, 1979. "Consumer Decision Making-Fact or Fiction?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 6(2), pages 93-100, Se.
    2. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    3. 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.
    4. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    5. Jones, Michael A. & Mothersbaugh, David L. & Beatty, Sharon E., 2002. "Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes," Journal of Business Research, Elsevier, vol. 55(6), pages 441-450, June.
    6. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    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. Shih-Wei Chou & Chia-Shiang Hsu, 2016. "Understanding online repurchase intention: social exchange theory and shopping habit," Information Systems and e-Business Management, Springer, vol. 14(1), pages 19-45, February.
    2. Taneja, Shilpa & Ali, Liaqat, 2021. "Determinants of customers’ intentions towards environmentally sustainable banking: Testing the structural model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    3. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    4. Baier, Daniel & Stüber, Eva, 2010. "Acceptance of recommendations to buy in online retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 17(3), pages 173-180.
    5. Bielefeldt, Jonas & Poelzl, Jana & Herbst, Uta, 2016. "What’s Mine Isn’t Yours – Barriers to Participation in the Sharing Economy," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 70(1), pages 4-25.
    6. 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.
    7. Phaninee Naruetharadhol & Chavis Ketkaew & Niracha Hongkanchanapong & Piranat Thaniswannasri & Techin Uengkusolmongkol & Sirapassorn Prasomthong & Nathatenee Gebsombut, 2021. "Factors Affecting Sustainable Intention to Use Mobile Banking Services," SAGE Open, , vol. 11(3), pages 21582440211, July.
    8. Sudipa Majumdar & Vijay Pujari, 2022. "Exploring usage of mobile banking apps in the UAE: a categorical regression analysis," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 27(3), pages 177-189, September.
    9. Liu, Qian & Shao, Zhen & Fan, Weiguo, 2018. "The impact of users’ sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in China," International Journal of Information Management, Elsevier, vol. 43(C), pages 209-223.
    10. 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.
    11. 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.
    12. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.
    13. Brenda Mak & Paul Beckman & Nicole Bohn, 2016. "Perceived Usefulness and Satisfaction of Mobile Phone for Users with Disabilities," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-16, April.
    14. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    15. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    16. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    17. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    18. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    19. Francisco Rejón-Guardia & Juán Sánchez-Fernández & Francisco Muñoz-Leiva, 2011. "Motivational Factors that influence the Acceptance of Microblogging Social Networks: The µBAM Model," FEG Working Paper Series 06/11, Faculty of Economics and Business (University of Granada).
    20. Kawsar Ahmad & Arifuzzaman Arifuzzaman & Abdullah Al Mamun & Junayed Md Khaled Bin Oalid, 2021. "Impact of consumer’s security, benefits and usefulness towards cashless transaction within Malaysian university student," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(2), pages 238-250, March.

    More about this item

    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:osf:osfxxx:k5zbr. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.