{"title":"2011 - 2021年移动金融服务采用文献的系统回顾与权重分析","authors":"Komlan Gbongli","doi":"10.18096/tmp.2022.02.02","DOIUrl":null,"url":null,"abstract":"The global extent and use of the internet and mobile have increased the importance of mobile financial services (MFS) and payments. However, only limited numbers of review studies are accessible on the topic. Therefore, this paper aims to offer a systematic literature review (SLR) methodology and perform a weight analysis of articles published between 2011 and 2021. By reviewing 61 studies, the results indicate that the unified theory of acceptance and usage of technology (UTAUT) followed by the technology of acceptance model (TAM) are the main conceptual frameworks and models adopted. It reveals that attitude, perceived ease of use, performance expectancy, habit, social norms, and perceived usefulness are the best behavioral intention predictors. The critical technological factors of using MFS were provided, followed by future research opportunities.","PeriodicalId":31458,"journal":{"name":"Theory Methodology Practice","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Systematic Review and Weight Analysis of Mobile Financial Services Adoption Literature from 2011 to 2021\",\"authors\":\"Komlan Gbongli\",\"doi\":\"10.18096/tmp.2022.02.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The global extent and use of the internet and mobile have increased the importance of mobile financial services (MFS) and payments. However, only limited numbers of review studies are accessible on the topic. Therefore, this paper aims to offer a systematic literature review (SLR) methodology and perform a weight analysis of articles published between 2011 and 2021. By reviewing 61 studies, the results indicate that the unified theory of acceptance and usage of technology (UTAUT) followed by the technology of acceptance model (TAM) are the main conceptual frameworks and models adopted. It reveals that attitude, perceived ease of use, performance expectancy, habit, social norms, and perceived usefulness are the best behavioral intention predictors. The critical technological factors of using MFS were provided, followed by future research opportunities.\",\"PeriodicalId\":31458,\"journal\":{\"name\":\"Theory Methodology Practice\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Theory Methodology Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18096/tmp.2022.02.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theory Methodology Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18096/tmp.2022.02.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Systematic Review and Weight Analysis of Mobile Financial Services Adoption Literature from 2011 to 2021
The global extent and use of the internet and mobile have increased the importance of mobile financial services (MFS) and payments. However, only limited numbers of review studies are accessible on the topic. Therefore, this paper aims to offer a systematic literature review (SLR) methodology and perform a weight analysis of articles published between 2011 and 2021. By reviewing 61 studies, the results indicate that the unified theory of acceptance and usage of technology (UTAUT) followed by the technology of acceptance model (TAM) are the main conceptual frameworks and models adopted. It reveals that attitude, perceived ease of use, performance expectancy, habit, social norms, and perceived usefulness are the best behavioral intention predictors. The critical technological factors of using MFS were provided, followed by future research opportunities.
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