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Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps

A SEM Approach

Bibliographic Data

ID23039505
AuthorsAshish A Linge (0000-0003-3587-8940, Rashtrasant Tukadoji Maharaj Nagpur University), Tushar Chaudhari (0000-0001-9005-1554, G.S. Science, Arts And Commerce College), Baldeo B Kakde (0000-0003-2010-503X, Rashtrasant Tukadoji Maharaj Nagpur University), Mahesh Singh (0000-0003-1471-1586, Amhara Agricultural Research Institute, corresponding author)
EditorsZheng Yan (0009-0007-3850-6743)
Year2023
Volume2023
Pages1-13
Publication date2023-03-22
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHuman Behavior and Emerging Technologies (JOURNAL)
Journal identifiersISSN: 2578-1863 • E-ISSN: 2578-1863
PublisherWiley (PUBLISHER • GB)
DOI10.1155/2023/3327994
OpenAlexW4360614470
LanguageEN
Citations received5
References cited68

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 ( R 2 = 71.8 % and R 2 = 76.5 %) in use behavior towards mobile payment apps explained by independent variables. Facilitating conditions exhibited the strongest effect on behavioral intention.

Business · Environmental health · Expectancy theory · Internet privacy · Mobile apps · Mobile payment · Nonprobability sampling · Payment · Statistics · Unified theory of acceptance and use of technology · Variance (accounting) · World Wide Web · Accounting · Applied Psychology · Computer Science · Consumer Behavior and Marketing Influence · Consumer Retail Behavior Studies · Mathematics · Medicine · Psychology · Social Psychology · Technology Adoption and User Behaviour

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Unique citing works5
Citations per year1,67
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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