A Quantitative Analysis of the Factors Affecting Citizens’ Intention to Adopt Smart Mobility Services

Author:

Dico Beatrice Lo,Cechella Felipe SchneiderORCID,Salem MohammedORCID,Wagner RalfORCID

Publisher

Springer International Publishing

Reference86 articles.

1. Ahmed, W., Hizam, S. M., Sentosa, I., Akter, H., Yafi, E., & Ali, J. (2020). Predicting IoT service adoption towards smart mobility in Malaysia: SEM-neural hybrid pilot study. arXiv preprint arXiv:2002.00152

2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

3. Al Haddad, C., Chaniotakis, E., Straubinger, A., Plötner, K., & Antoniou, C. (2020). Factors affecting the adoption and use of urban air mobility. Transportation Research Part a: Policy and Practice, 132, 696–712.

4. Almuraqab, N. A. S., & Jasimuddin, S. M. (2017). Factors that influence end-users’ adoption of smart government services in the UAE: A conceptual framework. Electronic Journal of Information Systems Evaluation, 20(1), 11.

5. Alonso-González, M. J., Hoogendoorn-Lanser, S., van Oort, N., Cats, O., & Hoogendoorn, S. (2020). Drivers and barriers in adopting Mobility as a Service (MaaS)—A latent class cluster analysis of attitudes. Transportation Research Part a: Policy and Practice, 132, 378–401.

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