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Mobile Payment Adoption in Vietnam: A Two-Staged SEM-ANN Approach

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Current and Future Trends on Intelligent Technology Adoption

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1128))

Abstract

By extending the newly proposed mobile application adoption paradigm to include prospect theory and flow theory and to make the behavioral purpose clearer, this study examines the adoption of mobile payments in Vietnam. Data from mobile payment consumers who have utilized mobile payment services was collected using a self-administered questionnaire. The behavioral intention to accept mobile payments is positively and meaningfully correlated with mobile social influence, mobile structural assurance, mobile facilitating condition, mobile performance expectancy, mobile effort expectancy, mobile perceived trust, and mobile perceived hedonic motivation, according to analyses using partial least squares structural equation modeling and artificial neural networks. With the implementation of mobile payment in Vietnam, the results also showed interactions between behavioral intention to use and mobile enabling circumstances. Practical and theoretical implications are subsequently discussed in light of the results.

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Authors and Affiliations

  1. Ho Chi Minh City University of Foreign Languages-Information Technology, HUFLIT, Ho Chi Minh City, Vietnam

    Luan-Thanh Nguyen & Tien-Thao Cong Phan

  2. Posts and Telecommunications Institute of Technology, PTIT, Tran Phu, Ha Dong, Hanoi, Vietnam

    Duc-Viet Thi Dang

  3. Vinh University, Vinh City, Nghe An Province, Vietnam

    Thuy-Thanh Thi Tran

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  1. Luan-Thanh Nguyen
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  2. Tien-Thao Cong Phan
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  3. Duc-Viet Thi Dang
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  4. Thuy-Thanh Thi Tran
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Correspondence to Luan-Thanh Nguyen .

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Editors and Affiliations

  1. Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia

    Mohammed A. Al-Sharafi

  2. The British University in Dubai, Dubai, United Arab Emirates

    Mostafa Al-Emran

  3. UCSI University, Kuala Lumpur, Malaysia

    Garry Wei-Han Tan

  4. UCSI University, Kuala Lumpur, Malaysia

    Keng-Boon Ooi

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Nguyen, LT., Phan, TT.C., Dang, DV.T., Tran, TT.T. (2023). Mobile Payment Adoption in Vietnam: A Two-Staged SEM-ANN Approach. In: Al-Sharafi, M.A., Al-Emran, M., Tan, G.WH., Ooi, KB. (eds) Current and Future Trends on Intelligent Technology Adoption. Studies in Computational Intelligence, vol 1128. Springer, Cham. https://doi.org/10.1007/978-3-031-48397-4_11

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