A cashless society: Understanding adoption of new technology

This study intends to show the effectiveness of Confirmatory Analysis (CFA), Exploratory Factor Analysis (EFA) and Stepwise Analysis for the assessing technology readiness indicator sources on digital wallet adoption. The data was collected among 133 Higher Education Degree students in Public Univer...

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Published in:AIP Conference Proceedings
Main Author: Karim F.; Yusoff W.S.; Ismail M.N.; Mazlan A.; Ghani N.I.Ab.; Muhammad N.
Format: Conference paper
Language:English
Published: American Institute of Physics Inc. 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105646481&doi=10.1063%2f5.0044579&partnerID=40&md5=53c00234469118d1bc56f4b7afbd183c
id 2-s2.0-85105646481
spelling 2-s2.0-85105646481
Karim F.; Yusoff W.S.; Ismail M.N.; Mazlan A.; Ghani N.I.Ab.; Muhammad N.
A cashless society: Understanding adoption of new technology
2021
AIP Conference Proceedings
2339

10.1063/5.0044579
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105646481&doi=10.1063%2f5.0044579&partnerID=40&md5=53c00234469118d1bc56f4b7afbd183c
This study intends to show the effectiveness of Confirmatory Analysis (CFA), Exploratory Factor Analysis (EFA) and Stepwise Analysis for the assessing technology readiness indicator sources on digital wallet adoption. The data was collected among 133 Higher Education Degree students in Public University in Terengganu, Malaysia using simple random sample approach in January 2020. The method of EFA has identified technology readiness constructs were divided into drivers and inhibitors for adoption of the digital wallet. The result shows the drivers factors were derived from optimization and self- assurance; while the inhibitor factors were derived from discomfort and insecurity. Next, CFA was performed to confirm the measurement model. Lastly, via stepwise analysis, the finding shows optimization and discomfort construct were observed to be a significant factors of digital wallet adoption. These findings enable telecommunication service providers or marketing practitioners to get insights of strategies to increase adoption rates of mobile wallet segment. The new finding in this study were self-assurance contrast to previous finding construct namely innovativeness. Meanwhile, CFA showed a good model fit after excluding the items with factor loading lower than 0.5. This finding was very useful to marketing practitioners in the design of promotional campaign on digital wallet. © 2021 American Institute of Physics Inc.. All rights reserved.
American Institute of Physics Inc.
0094243X
English
Conference paper

author Karim F.; Yusoff W.S.; Ismail M.N.; Mazlan A.; Ghani N.I.Ab.; Muhammad N.
spellingShingle Karim F.; Yusoff W.S.; Ismail M.N.; Mazlan A.; Ghani N.I.Ab.; Muhammad N.
A cashless society: Understanding adoption of new technology
author_facet Karim F.; Yusoff W.S.; Ismail M.N.; Mazlan A.; Ghani N.I.Ab.; Muhammad N.
author_sort Karim F.; Yusoff W.S.; Ismail M.N.; Mazlan A.; Ghani N.I.Ab.; Muhammad N.
title A cashless society: Understanding adoption of new technology
title_short A cashless society: Understanding adoption of new technology
title_full A cashless society: Understanding adoption of new technology
title_fullStr A cashless society: Understanding adoption of new technology
title_full_unstemmed A cashless society: Understanding adoption of new technology
title_sort A cashless society: Understanding adoption of new technology
publishDate 2021
container_title AIP Conference Proceedings
container_volume 2339
container_issue
doi_str_mv 10.1063/5.0044579
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105646481&doi=10.1063%2f5.0044579&partnerID=40&md5=53c00234469118d1bc56f4b7afbd183c
description This study intends to show the effectiveness of Confirmatory Analysis (CFA), Exploratory Factor Analysis (EFA) and Stepwise Analysis for the assessing technology readiness indicator sources on digital wallet adoption. The data was collected among 133 Higher Education Degree students in Public University in Terengganu, Malaysia using simple random sample approach in January 2020. The method of EFA has identified technology readiness constructs were divided into drivers and inhibitors for adoption of the digital wallet. The result shows the drivers factors were derived from optimization and self- assurance; while the inhibitor factors were derived from discomfort and insecurity. Next, CFA was performed to confirm the measurement model. Lastly, via stepwise analysis, the finding shows optimization and discomfort construct were observed to be a significant factors of digital wallet adoption. These findings enable telecommunication service providers or marketing practitioners to get insights of strategies to increase adoption rates of mobile wallet segment. The new finding in this study were self-assurance contrast to previous finding construct namely innovativeness. Meanwhile, CFA showed a good model fit after excluding the items with factor loading lower than 0.5. This finding was very useful to marketing practitioners in the design of promotional campaign on digital wallet. © 2021 American Institute of Physics Inc.. All rights reserved.
publisher American Institute of Physics Inc.
issn 0094243X
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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