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Testing the Technology Readiness and Acceptance Model for Mobile Payments Across Germany and South Africa

Author

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  • Miriam Martens

    (Detecon International GmbH, Sternengasse 14-16, D-50676 Cologne, Germany)

  • Oliver Roll

    (HS Osnabrück, Faculty of Business Administration and Social Sciences, Caprivistrasse 30, D-49076 Osnabrueck, Germany)

  • Roger Elliott

    (University of Fort Hare, Department of Business Management, East London 5201, South Africa)

Abstract

The acceptance of mobile payments has been limited. This paper, therefore, attempts to investigate the determinants of mobile payment adoption. To this end, it examines the relationships between the personality trait dimensions of the Technology Readiness Index 2.0 and the system-specific dimensions of the Technology Acceptance Model in Germany and South Africa. The model was tested using structural equation modeling. Results show that some, but not all, of the Technology Readiness Index 2.0 variables had a significant influence on the dimensions of the Technology Acceptance Model. Perceived Usefulness was the strongest predictor of the intention to use mobile payments. The factor “country” did not moderate the structural relationships.

Suggested Citation

  • Miriam Martens & Oliver Roll & Roger Elliott, 2017. "Testing the Technology Readiness and Acceptance Model for Mobile Payments Across Germany and South Africa," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1-19, December.
    • Handle: RePEc:wsi:ijitmx:v:14:y:2017:i:06:n:s021987701750033x
    DOI: 10.1142/S021987701750033X
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    1. Ramírez-Correa, Patricio & Grandón, Elizabeth E. & Rondán-Cataluña, F. Javier, 2020. "Users segmentation based on the Technological Readiness Adoption Index in emerging countries: The case of Chile," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    2. Mahmud, Hasan & Islam, A.K.M. Najmul & Mitra, Ranjan Kumar, 2023. "What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    3. Asif Mahmood & Muhammad Imran & Kamran Adil, 2023. "Modeling Individual Beliefs to Transfigure Technology Readiness into Technology Acceptance in Financial Institutions," SAGE Open, , vol. 13(1), pages 21582440221, January.
    4. Chang, Yu-Wei & Chen, Jiahe, 2021. "What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    5. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    6. Ayman N. Alkhaldi & Qasem M. Kharma, 2019. "Customer’s Intention to Adopt Mobile Banking Services: The Moderating Influence of Demographic Factors," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1-26, August.
    7. Sára Imola Csuka & Tamás Martos & Mihály Kapornaky & Viola Sallay & Christopher Alan Lewis, 2019. "Attitudes Toward Technologies of the Near Future: The Role of Technology Readiness in a Hungarian Adult Sample," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    8. Saqib Ali & Petra Poulova & Ahsan Akbar & Hafiz Muhammad Usama Javed & Muhammad Danish, 2020. "Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach," Economies, MDPI, vol. 8(4), pages 1-20, December.

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