Selection of the best e-wallet in the Klang Valley, Malaysia: An application of the analytic hierarchy process

Parties conducting electronic businesses usually do not meet face-to-face, nor do they exchange currency or hard copies of documents hand-to-hand. When companies enter electronic commerce transactions, choosing an electronic payment (or E-Wallet) system that will work well is a major issue. In the p...

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Main Authors: Islam, Rafikul, Sivanantham, Rajan Amaloo
Format: Article
Language:English
Published: UUM Press 2022
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Online Access:https://repo.uum.edu.my/id/eprint/30026/1/GBMR%2014%2002%202022%2016-36.pdf
https://doi.org/10.32890/gbmr2022.14.2.2
https://repo.uum.edu.my/id/eprint/30026/
https://e-journal.uum.edu.my/index.php/gbmr/article/view/18807
https://doi.org/10.32890/gbmr2022.14.2.2
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spelling my.uum.repo.300262023-11-28T11:10:29Z https://repo.uum.edu.my/id/eprint/30026/ Selection of the best e-wallet in the Klang Valley, Malaysia: An application of the analytic hierarchy process Islam, Rafikul Sivanantham, Rajan Amaloo HF Commerce Parties conducting electronic businesses usually do not meet face-to-face, nor do they exchange currency or hard copies of documents hand-to-hand. When companies enter electronic commerce transactions, choosing an electronic payment (or E-Wallet) system that will work well is a major issue. In the present study, initially, after examining different E-Wallet systems in the Klang Valley, Malaysia, assessment criteria were identified based on previous research and experts interviews. The assessment criteria were used for questionnaire development to rank factors for selection of the best E-Wallet in the Klang Valley, Malaysia. The survey result was analyzed using the analytic hierarchy process (AHP), a mathematical model, and synthesized using Superdecisions® software. Then, applying the AHP, the five top E-Wallets used in the Klang Valley were ranked. Results show that Samsung Pay is the most preferred E-Wallet system, followed by Lazada Wallet and Boost. The findings of this research are intended to be useful for both academic researchers and companies planning to adopt or improve their electronic payment systems. The hierarchical model developed in this study is expected to provide valuable guidance to E-Wallet service providers, banking industry practitioners, financial institutions, and similar companies in optimizing their resources. E-Wallet service providers can use the results to increase the adoption of their E-Wallet transactions. UUM Press 2022 Article PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/30026/1/GBMR%2014%2002%202022%2016-36.pdf Islam, Rafikul and Sivanantham, Rajan Amaloo (2022) Selection of the best e-wallet in the Klang Valley, Malaysia: An application of the analytic hierarchy process. Global Business Management Review (GBMR), 14 (2). pp. 16-36. ISSN 2180-2416 https://e-journal.uum.edu.my/index.php/gbmr/article/view/18807 https://doi.org/10.32890/gbmr2022.14.2.2 https://doi.org/10.32890/gbmr2022.14.2.2
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic HF Commerce
spellingShingle HF Commerce
Islam, Rafikul
Sivanantham, Rajan Amaloo
Selection of the best e-wallet in the Klang Valley, Malaysia: An application of the analytic hierarchy process
description Parties conducting electronic businesses usually do not meet face-to-face, nor do they exchange currency or hard copies of documents hand-to-hand. When companies enter electronic commerce transactions, choosing an electronic payment (or E-Wallet) system that will work well is a major issue. In the present study, initially, after examining different E-Wallet systems in the Klang Valley, Malaysia, assessment criteria were identified based on previous research and experts interviews. The assessment criteria were used for questionnaire development to rank factors for selection of the best E-Wallet in the Klang Valley, Malaysia. The survey result was analyzed using the analytic hierarchy process (AHP), a mathematical model, and synthesized using Superdecisions® software. Then, applying the AHP, the five top E-Wallets used in the Klang Valley were ranked. Results show that Samsung Pay is the most preferred E-Wallet system, followed by Lazada Wallet and Boost. The findings of this research are intended to be useful for both academic researchers and companies planning to adopt or improve their electronic payment systems. The hierarchical model developed in this study is expected to provide valuable guidance to E-Wallet service providers, banking industry practitioners, financial institutions, and similar companies in optimizing their resources. E-Wallet service providers can use the results to increase the adoption of their E-Wallet transactions.
format Article
author Islam, Rafikul
Sivanantham, Rajan Amaloo
author_facet Islam, Rafikul
Sivanantham, Rajan Amaloo
author_sort Islam, Rafikul
title Selection of the best e-wallet in the Klang Valley, Malaysia: An application of the analytic hierarchy process
title_short Selection of the best e-wallet in the Klang Valley, Malaysia: An application of the analytic hierarchy process
title_full Selection of the best e-wallet in the Klang Valley, Malaysia: An application of the analytic hierarchy process
title_fullStr Selection of the best e-wallet in the Klang Valley, Malaysia: An application of the analytic hierarchy process
title_full_unstemmed Selection of the best e-wallet in the Klang Valley, Malaysia: An application of the analytic hierarchy process
title_sort selection of the best e-wallet in the klang valley, malaysia: an application of the analytic hierarchy process
publisher UUM Press
publishDate 2022
url https://repo.uum.edu.my/id/eprint/30026/1/GBMR%2014%2002%202022%2016-36.pdf
https://doi.org/10.32890/gbmr2022.14.2.2
https://repo.uum.edu.my/id/eprint/30026/
https://e-journal.uum.edu.my/index.php/gbmr/article/view/18807
https://doi.org/10.32890/gbmr2022.14.2.2
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score 13.18916