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Determinants of Mobile Wallet Adoption: A Longitudinal Approach Applying an Extension of the Technology Acceptance Model in Cameroon

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Information Systems and Technologies (WorldCIST 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 469))

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Abstract

This study develops and tests a modified technology acceptance model (TAM) to assess Cameroon's key determinants of mobile wallet (m-wallet) adoption. The proposed research model is tested using a longitudinal approach with data collected in two phases: December 2019 for the first phase and March and April 2021 for the second phase during the COVID-19. Data analysis was realized using the partial least squares structural equation modeling. Also, a multi-group analysis was conducted to assess the differences between the datasets collected from the two phases of the study. The results provide strong support to seven out of the eight proposed hypotheses. They also detected differences in the two datasets with only one significant difference. Finally, implications for research and practice are presented and discussed.

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Author information

Authors and Affiliations

  1. TBS Education, Toulouse, France

    Samuel Fosso Wamba

Authors
  1. Samuel Fosso Wamba
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Correspondence to Samuel Fosso Wamba .

Editor information

Editors and Affiliations

  1. ISEG, Universidade de Lisboa, Lisboa, Portugal

    Alvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Institute of Data Science and Digital Te, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

  4. DCT, Universidade Portucalense, PORTO, Portugal

    Fernando Moreira

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Fosso Wamba, S. (2022). Determinants of Mobile Wallet Adoption: A Longitudinal Approach Applying an Extension of the Technology Acceptance Model in Cameroon. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-04819-7_4

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