research-article

Examining the Antecedents of Customer Adoption and Intention to Use Mobile Wallet: An Empirical Investigation

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Ming-Ming LaiAuthors Info & Claims

IC4E '20: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning

Pages 380 - 384

https://doi.org/10.1145/3377571.3377613

Published: 03 May 2020 Publication History

Abstract

Virtual payment services such as mobile wallet is reshaping the payment landscape. However, mobile wallet has yet to reach high-scale adoption in Malaysia despite its large potential. Little is known about the setback. This study aims to examine B40 and M40 groups' readiness and their perceptions toward mobile wallet by incorporating Technology Readiness Index (TRI 2.0) and extended Unified Theory of Acceptance and Use of Technology (UTAUT2). Data collection was carried out in five major cities in Malaysia. A total number of 324 respondents have joined the data collection. Partial least squares structural equation modelling (PLS-SEM) was utilized to analyze the data. The respondents were found to have optimism traits and exhibit positive feelings toward mobile wallet. The findings revealed that performance expectancy, facilitating conditions, and price value are the strongest predictors of behavioral intention to adopt mobile wallet.

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Cited By

Wu CLim G(2024)Investigating older adults users’ willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theoryFrontiers in Public Health10.3389/fpubh.2024.144959412Online publication date: 25-Sep-2024
https://doi.org/10.3389/fpubh.2024.1449594
Srivastava SBhati N(2023)Examining Undergraduate Students’ Behavioral Intentions for M-Learning using Theoretical Framework of UTAUT2023 IEEE International Conference on Contemporary Computing and Communications (InC4)10.1109/InC457730.2023.10263264(1-6)Online publication date: 21-Apr-2023
https://doi.org/10.1109/InC457730.2023.10263264
Sharma SMalik AAhamed A(2023)Modelling Consumer’s Mobile Wallet App Adoption and Its Continuous Usage: The Case of IndiaDigital Economy Post COVID-19 Era10.1007/978-981-99-0197-5_13(213-232)Online publication date: 2-Nov-2023
https://doi.org/10.1007/978-981-99-0197-5_13

Index Terms

Examining the Antecedents of Customer Adoption and Intention to Use Mobile Wallet: An Empirical Investigation
1. Applied computing
  1. Electronic commerce
    1. Digital cash
2. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Other conferences

IC4E '20: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning

January 2020

441 pages

ISBN:9781450372947

DOI:10.1145/3377571

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Ritsumeikan University: Ritsumeikan University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 May 2020

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Ministry of Higher Education, Malaysia

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IC4E 2020

IC4E 2020: 2020 the 11th International Conference on E-Education, E-Business, E-Management, and E-Learning

January 10 - 12, 2020

Osaka, Japan

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Cited By

Wu CLim G(2024)Investigating older adults users’ willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theoryFrontiers in Public Health10.3389/fpubh.2024.144959412Online publication date: 25-Sep-2024
https://doi.org/10.3389/fpubh.2024.1449594
Srivastava SBhati N(2023)Examining Undergraduate Students’ Behavioral Intentions for M-Learning using Theoretical Framework of UTAUT2023 IEEE International Conference on Contemporary Computing and Communications (InC4)10.1109/InC457730.2023.10263264(1-6)Online publication date: 21-Apr-2023
https://doi.org/10.1109/InC457730.2023.10263264
Sharma SMalik AAhamed A(2023)Modelling Consumer’s Mobile Wallet App Adoption and Its Continuous Usage: The Case of IndiaDigital Economy Post COVID-19 Era10.1007/978-981-99-0197-5_13(213-232)Online publication date: 2-Nov-2023
https://doi.org/10.1007/978-981-99-0197-5_13

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