IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0273849.html
   My bibliography  Save this article

Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach

Author

Listed:
  • Li Luyao
  • Abdullah Al Mamun
  • Naeem Hayat
  • Qing Yang
  • Mohammad Enamul Hoque
  • Noor Raihani Zainol

Abstract

Wearable payment devices (WPD) are gaining acceptance fast and transforming everyday life and commercial operations in China. Limited research works were conducted on customers’ adoption intentions to obtain a real image of the evolution of WPD in China. This study aims to investigate the effects of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Perceived Trust (PT), and Lifestyle Compatibility (LC) on the intention to adopt WPD among Chinese consumers by expanding unified theory of acceptance and use of technology with two impelling determinants (i.e. PT and LC). Using an online survey, empirical data were collected from 298 respondents in China. In a two-stage data analysis, partial least squares structural equation modelling (PLS-SEM) were employed to analyse the causal effects and associations between independent and dependent variables, whereas artificial neural networks (ANN) were used to evaluate the research model prediction capability. The (PLS-SEM) findings indicated that PE, SI, FC, HM, LC, and PT had substantial positive impacts on adoption intention, whilst EE had no impact on adoption intention among Chinese consumers. The ANN analysis proved the high prediction accuracy of data fitness, with ANN findings highlighting the importance of PT, FC, and PE on the intention to adopt WPD. It was suggested that the study findings assist WPD service providers and the smart wearable device industry practitioners in developing innovative products and implementing efficient marketing strategies to attract the existing and potential WPD users in China.

Suggested Citation

  • Li Luyao & Abdullah Al Mamun & Naeem Hayat & Qing Yang & Mohammad Enamul Hoque & Noor Raihani Zainol, 2022. "Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-21, August.
    • Handle: RePEc:plo:pone00:0273849
    DOI: 10.1371/journal.pone.0273849
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0273849
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0273849&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0273849?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. Hendy Mustiko Aji & Izra Berakon & Maizaitulaidawati Md Husin, 2020. "COVID-19 and e-wallet usage intention: A multigroup analysis between Indonesia and Malaysia," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1804181-180, January.
    2. Patil, Pushp & Tamilmani, Kuttimani & Rana, Nripendra P. & Raghavan, Vishnupriya, 2020. "Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal," International Journal of Information Management, Elsevier, vol. 54(C).
    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. Haibei Chen & Xianglian Zhao, 2023. "Use intention of green financial security intelligence service based on UTAUT," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10709-10742, October.
    2. Khwanjira Ponsree & Phaninee Naruetharadhol, 2025. "Unveiling the determinants of alternative payment adoption: exploring the factors shaping generation Z’s intentions in Thailand," International Entrepreneurship and Management Journal, Springer, vol. 21(1), pages 1-34, December.
    3. María García de Blanes Sebastián & José Ramón Sarmiento Guede & Alberto Azuara Grande & David Juárez-Varón, 2024. "Analysis of factors influencing attitude and intention to use electric vehicles for a sustainable future," The Journal of Technology Transfer, Springer, vol. 49(4), pages 1347-1368, August.
    4. Agnieszka Huterska & Anna Iwona Piotrowska & Joanna Szalacha-Jarmużek, 2021. "Fear of the COVID-19 Pandemic and Social Distancing as Factors Determining the Change in Consumer Payment Behavior at Retail and Service Outlets," Energies, MDPI, vol. 14(14), pages 1-18, July.
    5. Shankar, Amit & Dhir, Amandeep & Talwar, Shalini & Islam, Nazrul & Sharma, Piyush, 2022. "Balancing food waste and sustainability goals in online food delivery: Towards a comprehensive conceptual framework," Technovation, Elsevier, vol. 117(C).
    6. Nenad Tomić & Zoran Kalinić & Violeta Todorović, 2023. "Using the UTAUT model to analyze user intention to accept electronic payment systems in Serbia," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(2), pages 251-270, May.
    7. Bernard John Tiika & Zhiwei Tang & Joshua Caleb Dagadu & Jacob Azaare & Samuel Nii-Ayi Otoo, 2024. "Tourists’ Adoption of Context-Aware Applications: A Case Study, Using Personal Locator Beacons at the Mole National Park, Ghana," SAGE Open, , vol. 14(2), pages 21582440241, May.
    8. Felix Friederich & Ramon Palau-Saumell & Jorge Matute & José Luis Sánchez-Torelló, 2024. "Investors’ acceptance and use of investment-based crowdfunding platforms: an integrated perspective," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(4), pages 1291-1303, December.
    9. Francisco Liébana-Cabanillas & Francisco Muñoz-Leiva & Sebastián Molinillo & Elena Higueras-Castillo, 2022. "Do biometric payment systems work during the COVID-19 pandemic? Insights from the Spanish users' viewpoint," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    10. L. Vimal Raj & S. Amilan & K. Aparna & Karthick Swaminathan, 2024. "Factors influencing the adoption of cashless transactions during COVID-19: an extension of enhanced UTAUT with pandemic precautionary measures," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 488-507, June.
    11. Batiz-Lazo, Bernardo & Maixe-Altes, J Carles & Peon, David, 2023. "Behavioral drivers of cashless payments in Africa," MPRA Paper 117984, University Library of Munich, Germany.
    12. Aysen Bakkaloglu & Yavuz Toraman, 2022. "Examining Individuals’ Attitudes Toward Electronic Money in the Framework of the Technology Acceptance Model," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 9(2), pages 475-494, July.
    13. Kriswardhana, Willy & Esztergár-Kiss, Domokos, 2023. "Exploring the aspects of MaaS adoption based on college students’ preferences," Transport Policy, Elsevier, vol. 136(C), pages 113-125.
    14. Elshaer, Ibrahim A. & Alrawad, Mahmaod & Lutfi, Abdalwali & Azazz, Alaa M.S., 2024. "Social commerce and buying intention post COVID-19: Evidence from a hybrid approach based on SEM – fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    15. Dovilė Barysė, 2022. "People’s Attitudes towards Technologies in Courts," Laws, MDPI, vol. 11(5), pages 1-28, September.
    16. Sujeet Kumar Sharma & Anubhav Mishra, 2023. "Enablers and Inhibitors of Mobile Payments in Rural India: a Dual-Factor Theory Perspective," Information Systems Frontiers, Springer, vol. 25(6), pages 2335-2351, December.
    17. Chien-Wei Ho, 2024. "Motivating people to adopt electricity management system based on push–pull–mooring model," Energy & Environment, , vol. 35(3), pages 1479-1492, May.
    18. Bharti Ramtiyal & Deepak Verma & Ajaypal Singh Rathore, 2024. "Role of risk perception and situational factors in mobile payment adoption among small vendors in unorganised retail," Electronic Commerce Research, Springer, vol. 24(4), pages 2693-2731, December.
    19. Yue Ma & Abdullah Al Mamun & Mohammad Masukujjaman & Roslan Ja’afar, 2025. "Modeling the significance of unified theory of acceptance and use of technology in predicting the intention and usage of eCNY," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-32, December.
    20. Polyakova, V. & Streltsova, E. & Iudin, I. & Kuzina, L., 2024. "Irreversible effects? How the digitalization of daily practices has changed after the COVID-19 pandemic," Technology in Society, Elsevier, vol. 76(C).

    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:plo:pone00:0273849. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.