Alaa S Jameel, Sameer S. Hamdi, M. Karem, Ahmed S. Alheety
{"title":"Exploring Users’ Intentions for Using Mobile payment Applications, Based on Unified Theory of Acceptance and Use of Technology Theory","authors":"Alaa S Jameel, Sameer S. Hamdi, M. Karem, Ahmed S. Alheety","doi":"10.24086/cuejhss.v7n1y2023.pp148-153","DOIUrl":null,"url":null,"abstract":"The objective of this study is to assess the behavioral intention (BI) of users to use Mobile-Payment based on their behavior. The study used the convenience sampling technique to collect the data from users. 198 questionnaires were analyzed by Smart-PLS 3 to assess the proposed model. The results showed that performance expectancy, facilitating conditions, Social influence, and Trust has a positive and significant impact on BI to use of Mobile Payment. in contrast, the Effort expectancy has an insignificant impact on BI to use M-payment. This study could provide insights that can be valuable for businesses and developers in designing and promoting mobile payment applications that cater to users' preferences and needs.","PeriodicalId":255205,"journal":{"name":"Cihan University-Erbil Journal of Humanities and Social Sciences","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cihan University-Erbil Journal of Humanities and Social Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24086/cuejhss.v7n1y2023.pp148-153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The objective of this study is to assess the behavioral intention (BI) of users to use Mobile-Payment based on their behavior. The study used the convenience sampling technique to collect the data from users. 198 questionnaires were analyzed by Smart-PLS 3 to assess the proposed model. The results showed that performance expectancy, facilitating conditions, Social influence, and Trust has a positive and significant impact on BI to use of Mobile Payment. in contrast, the Effort expectancy has an insignificant impact on BI to use M-payment. This study could provide insights that can be valuable for businesses and developers in designing and promoting mobile payment applications that cater to users' preferences and needs.