IDEAS home Printed from https://ideas.repec.org/a/igg/jeco00/v20y2022i1p1-23.html
   My bibliography  Save this article

Determinants of the Acceptance of Mobile Payment Systems by E-Merchants

Author

Listed:
  • Daniel Możdżyński

    (Poznan University of Economics and Business, Poland)

  • Wojciech Cellary

    (Poznan University of Economics and Business, Poland)

Abstract

To be effectively deployed, a mobile payment (m-payment) system must be provided by e-merchants and accepted by e-consumers. Although the problem of acceptance of m-payment systems by e-consumers has been widely researched, there are few studies about what actually motivates e-merchants to adopt and deploy these systems in their businesses in the first place. The goal of this research was to discover the behavioral intentions of e-merchants to adopt and deploy an m-payment system. The interviews approach was applied to 347 e-merchants randomly selected from among the whole population of 47,457 independent business units selling goods on-line in Poland. The PLS-SEM method was applied to determine the relationship between variables. Unexpectedly, perceived risk was not a significant factor influencing e-merchants' intention to adopt an m-payment system. The e-merchants’ behavioral intention was significantly impacted by the expected usefulness, perceived ease of deployment and use, perceived cost and price, and hedonic motivation.

Suggested Citation

  • Daniel Możdżyński & Wojciech Cellary, 2022. "Determinants of the Acceptance of Mobile Payment Systems by E-Merchants," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 20(1), pages 1-23, January.
  • Handle: RePEc:igg:jeco00:v:20:y:2022:i:1:p:1-23
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/JECO.286777
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ethan Ligon & Badal Malick & Ketki Sheth & Carly Trachtman, 2019. "What explains low adoption of digital payment technologies? Evidence from small-scale merchants in Jaipur, India," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-22, July.
    2. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    3. Judea Pearl, 2014. "Comment: Understanding Simpson's Paradox," The American Statistician, Taylor & Francis Journals, vol. 68(1), pages 8-13, February.
    4. Ned Kock, 2015. "PLS-based SEM Algorithms: The Good Neighbor Assumption, Collinearity, and Nonlinearity," Information Management and Business Review, AMH International, vol. 7(2), pages 113-130.
    5. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    6. Guo, Jie & Bouwman, Harry, 2016. "An analytical framework for an m-payment ecosystem: A merchants׳ perspective," Telecommunications Policy, Elsevier, vol. 40(2), pages 147-167.
    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. Ahmad Ghandour & Hussein Al-Srehan & Alhanof Almutairi, 2023. "Analysis of Demand and Supply for Mobile Payments in the UAE during COVID-19," JRFM, MDPI, vol. 16(2), pages 1-11, January.

    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. Chen, Chongyang & Zhang, Kem Z.K. & Gong, Xiang & Zhao, Sesia J. & Lee, Matthew K.O. & Liang, Liang, 2017. "Understanding compulsive smartphone use: An empirical test of a flow-based model," International Journal of Information Management, Elsevier, vol. 37(5), pages 438-454.
    2. Lin, Hsin-Hui & Tseng, Timmy H. & Yeh, Ching-Hsuan & Liao, Yi-Wen & Wang, Yi-Shun, 2020. "What drives customers’ post-purchase price search intention in the context of online price matching guarantees," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    3. Annie Tubadji & Peter Nijkamp, 2015. "Cultural impact on regional development: application of a PLS-PM model to Greece," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 687-720, May.
    4. Li Mo & Xiaosan Zhang & Yabin Lin & Zhenghui Yuan & Zengjun Peng, 2023. "Consumers’ Attitudes towards Online Advertising: A Model of Personalization, Informativeness, Privacy Concern and Flow Experience," Sustainability, MDPI, vol. 15(5), pages 1-12, February.
    5. Tomas Macak, 2021. "Stability of Dependencies of Contingent Subgroups with Merged Groups: Vaccination Case Study," Mathematics, MDPI, vol. 9(22), pages 1-12, November.
    6. 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.
    7. Vittadini, Giorgio & Minotti, Simona C. & Fattore, Marco & Lovaglio, Pietro G., 2007. "On the relationships among latent variables and residuals in PLS path modeling: The formative-reflective scheme," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5828-5846, August.
    8. Adam Malešević & Dušan Barać & Dragan Soleša & Ema Aleksić & Marijana Despotović-Zrakić, 2021. "Adopting xRM in Higher Education: E-Services Outside the Classroom," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    9. Oubrich, Mourad & Hakmaoui, Abdelati & Benhayoun, Lamiae & Solberg Söilen, Klaus & Abdulkader, Bisan, 2021. "Impacts of leadership style, organizational design and HRM practices on knowledge hiding: The indirect roles of organizational justice and competitive work environment," Journal of Business Research, Elsevier, vol. 137(C), pages 488-499.
    10. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    11. Un-Kon Lee, 2021. "The Effect of Confirmation of Nation Brand Image in International Tourism Advertisement on Travel Intention of Foreign Tourists: The Case of Korean ITA for Chinese Tourists," SAGE Open, , vol. 11(1), pages 21582440209, January.
    12. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    13. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    14. Amir Louizi & Radhouane Kammoun, 2016. "Evaluation of corporate governance systems by credit rating agencies," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 20(2), pages 363-385, June.
    15. Nitin Walia & Mark Srite & Wendy Huddleston, 2016. "Eyeing the web interface: the influence of price, product, and personal involvement," Electronic Commerce Research, Springer, vol. 16(3), pages 297-333, September.
    16. Sengazhani Murugesan Vadivel & Aloysius Henry Sequeira & Robert Rajkumar Sakkariyas & Kirubaharan Boobalan, 2022. "Impact of lean service, workplace environment, and social practices on the operational performance of India post service industry," Annals of Operations Research, Springer, vol. 315(2), pages 2219-2244, August.
    17. Gupta, Prashant & Seetharaman, A. & Raj, John Rudolph, 2013. "The usage and adoption of cloud computing by small and medium businesses," International Journal of Information Management, Elsevier, vol. 33(5), pages 861-874.
    18. Asif Khan & Chih-Cheng Chen & Kwanrat Suanpong & Athapol Ruangkanjanases & Santhaya Kittikowit & Shih-Chih Chen, 2021. "The Impact of CSR on Sustainable Innovation Ambidexterity: The Mediating Role of Sustainable Supply Chain Management and Second-Order Social Capital," Sustainability, MDPI, vol. 13(21), pages 1-25, November.
    19. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    20. P. A. Ferrari & S. Salini, 2008. "Measuring Service Quality: The Opinion of Europeans about Utilities," Working Papers 2008.36, Fondazione Eni Enrico Mattei.

    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:igg:jeco00:v:20:y:2022:i:1:p:1-23. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.