Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach
The main aim of this research study is to examine the impact of five independent variables viz. performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation on behavioral intention to use mobile payment apps. This study is further aimed at investigatin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Human Behavior and Emerging Technologies |
| Online Access: | http://dx.doi.org/10.1155/2023/3327994 |
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| author | Ashish A. Linge Tushar Chaudhari Baldeo B. Kakde Mahesh Singh |
| author_facet | Ashish A. Linge Tushar Chaudhari Baldeo B. Kakde Mahesh Singh |
| author_sort | Ashish A. Linge |
| collection | DOAJ |
| description | The main aim of this research study is to examine the impact of five independent variables viz. performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation on behavioral intention to use mobile payment apps. This study is further aimed at investigating the influence of behavioral intention on the use behavior of mobile payment app users. This study strives to investigate the use behavior of people who have already used mobile payment apps like Google Pay, PhonePe, and PayTM previously for making payments for the products and services they have purchased from various sellers. The researchers used the UTAUT2 theory to examine the relationship between the independent and dependent variables mentioned above. The data was collected from 618 mobile payment app users from Vidarbha, M.S., India. Availability sampling and purposive sampling techniques were adopted for the final selection of the respondents. A structured questionnaire was designed by the researchers for collecting the required primary data. The six proposed hypotheses were tested by using SMART-PLS 3.3.5 software. The results indicated support for all six proposed hypotheses. The proposed model explained a substantial amount of variance in behavioral intention (R2=71.8% and R2=76.5%) in use behavior towards mobile payment apps explained by independent variables. Facilitating conditions exhibited the strongest effect on behavioral intention. |
| format | Article |
| id | doaj-art-830d62f2c6434a00b29308a157fd9a80 |
| institution | Kabale University |
| issn | 2578-1863 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Human Behavior and Emerging Technologies |
| spelling | doaj-art-830d62f2c6434a00b29308a157fd9a802025-02-03T06:43:13ZengWileyHuman Behavior and Emerging Technologies2578-18632023-01-01202310.1155/2023/3327994Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM ApproachAshish A. Linge0Tushar Chaudhari1Baldeo B. Kakde2Mahesh Singh3Department of Business ManagementDepartment of CommerceDepartment of Commerce Manoharbhai Patel ArtsDepartment of ManagementThe main aim of this research study is to examine the impact of five independent variables viz. performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation on behavioral intention to use mobile payment apps. This study is further aimed at investigating the influence of behavioral intention on the use behavior of mobile payment app users. This study strives to investigate the use behavior of people who have already used mobile payment apps like Google Pay, PhonePe, and PayTM previously for making payments for the products and services they have purchased from various sellers. The researchers used the UTAUT2 theory to examine the relationship between the independent and dependent variables mentioned above. The data was collected from 618 mobile payment app users from Vidarbha, M.S., India. Availability sampling and purposive sampling techniques were adopted for the final selection of the respondents. A structured questionnaire was designed by the researchers for collecting the required primary data. The six proposed hypotheses were tested by using SMART-PLS 3.3.5 software. The results indicated support for all six proposed hypotheses. The proposed model explained a substantial amount of variance in behavioral intention (R2=71.8% and R2=76.5%) in use behavior towards mobile payment apps explained by independent variables. Facilitating conditions exhibited the strongest effect on behavioral intention.http://dx.doi.org/10.1155/2023/3327994 |
| spellingShingle | Ashish A. Linge Tushar Chaudhari Baldeo B. Kakde Mahesh Singh Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach Human Behavior and Emerging Technologies |
| title | Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach |
| title_full | Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach |
| title_fullStr | Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach |
| title_full_unstemmed | Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach |
| title_short | Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach |
| title_sort | analysis of factors affecting use behavior towards mobile payment apps a sem approach |
| url | http://dx.doi.org/10.1155/2023/3327994 |
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