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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Predicting IoT Service Adoption towards Smart Mobility in Malaysia: SEM-Neural Hybrid Pilot Study

Author 1: Waqas Ahmed
Author 2: Sheikh Muhamad Hizam
Author 3: Ilham Sentosa
Author 4: Habiba Akter
Author 5: Eiad Yafi
Author 6: Jawad Ali

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2020.0110165

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 1, 2020.

  • Abstract and Keywords
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Abstract: Smart city is synchronized with digital environment and its transportation system is vitalized with RFID sensors, Internet of Things (IoT) and Artificial Intelligence. However, without user’s behavioral assessment of technology, the ultimate usefulness of smart mobility cannot be achieved. This paper aims to formulate the research framework for prediction of antecedents of smart mobility by using SEM-Neural hybrid approach towards preliminary data analysis. This research undertook smart mobility service adoption in Malaysia as study perspective and applied the Technology Acceptance Model (TAM) as theoretical basis. An extended TAM model was hypothesized with five external factors (digital dexterity, IoT service quality, intrusiveness concerns, social electronic word of mouth and subjective norm). The data was collected through a pilot survey in Klang Valley, Malaysia. Then responses were analyzed for reliability, validity and accuracy of model. Finally, the causal relationship was explained by Structural Equation Modeling (SEM) and Artificial Neural Networking (ANN). The paper will share better understanding of road technology acceptance to all stakeholders to refine, revise and update their policies. The proposed framework will suggest a broader approach to investigate individual-level technology acceptance.

Keywords: Smart Mobility; Internet of Things (IoT); Radio-Frequency Identification (RFID); Neural Networks; Technology Acceptance Model (TAM)

Waqas Ahmed, Sheikh Muhamad Hizam, Ilham Sentosa, Habiba Akter, Eiad Yafi and Jawad Ali, “Predicting IoT Service Adoption towards Smart Mobility in Malaysia: SEM-Neural Hybrid Pilot Study” International Journal of Advanced Computer Science and Applications(IJACSA), 11(1), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110165

@article{Ahmed2020,
title = {Predicting IoT Service Adoption towards Smart Mobility in Malaysia: SEM-Neural Hybrid Pilot Study},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110165},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110165},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {1},
author = {Waqas Ahmed and Sheikh Muhamad Hizam and Ilham Sentosa and Habiba Akter and Eiad Yafi and Jawad Ali}
}


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