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Enhancing the Low Adoption Rate of M‐commerce in Nigeria Through Yorùbá Voice Technology

Ajayi, Lydia Kehinde and Azeta, A. A. and Odun-Ayo, Isaac and Ajayi, Peter Taiwo and Azeta, Victor and Agrawal, Akshat (2020) Enhancing the Low Adoption Rate of M‐commerce in Nigeria Through Yorùbá Voice Technology. In: International Conference on Hybrid Intelligent Systems, 2020, Online.

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Abstract

There has been claims and reports that 70% of m‐commerce in Nigeria failed due to non‐interactive, non‐responsive and non‐interesting platform. Despite the popularity and growth of m‐commerce globally, developing countries like Nigeria seems to be lagging behind and at the same time, many mcommerce sites have been reported to close down due to unprofitability. The key factors that contribute to this failure are health, literacy e‐literacy language and accessibility barrier. All these key factors are formidable barriers to adoption of m‐commerce in Nigeria and have discouraged most people from fully adopting m‐commerce. Hence, this work explored a Yorùbá voice‐based m‐commerce system to enhance smooth m‐commerce operations and at the same time, enhance the low adoption rate of mcommerce users. This work was able to discover a foundation for advancing the current growing trends of m‐commerce making them sustainable which is also applicable to e‐commerce or any e‐platforms.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Applications E‐commerce Industry M‐commerce Yorùbá Automatic speech recognition Speech synthesis Visually impaired
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 10 Sep 2021 11:49
Last Modified: 10 Sep 2021 11:49
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/15349

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