Abstract
PurposeWith the increasing use of Internet and mobile handsets, mobile-based electronic payment apps (MEPAs) are becoming very popular around the world due to having various advantages. The intention of this exploratory study is to investigate the role/impact of selected factors in adopting three MEPAs of China: Wechat, Alipay and UnionPay based on the extended technology acceptance model (ETAM). After conducting a thorough and careful literature review, this study identified and divided seven such factors into three broad categories: (1) technological factors: perceived ease of use (PEU) and perceived usefulness (PU); (2) personal factors: perceived trust (PT), perceived privacy (PP) and perceived risk (PR); and (3) social factors: social influence (SI) and peer influence (PI) that were assumed to affect the intention to adopt MEPAs (IAMEPAs).Design/methodology/approach1,597 Chinese individuals were selected through purposive sampling technique who regularly used MEPAs at the time of collecting data. For collecting primary data from the selected respondents, a cross-sectional survey instrument was used. The study utilized IBM SPSS 25 for descriptive statistics and a second generation covariance-based structural equation modeling (CB-SEM) technique through AMOS 25 for testing the hypothesized relationships.FindingsFrom statistical analysis, it was identified that five factors: PEU, PU, PT, SI and PI have significant positive impact on the dependent variable, IAMEPAs while PR and PP have insignificant influence on IAMEPAs.Originality/valueThis is one of the studies ever conducted to discover the factors that can have impact on the adoption of MEPAs using ETAM. It is strongly expected that this exploratory study can motivate the scholars to commence additional investigations regarding this increasingly popular financial technology (Fin-Tech). In addition, it can be anticipated that the MEPA service providers can widen their service effectiveness according to the users’ opinion reflected in this study. Furthermore, policymakers involved with Fin-Tech can also formulate and implement effective policies and guidelines based on the empirical outcomes.
Reference110 articles.
1. Detecting common method bias: performance of the Harman's single-factor test;The Data Base for Advances in Information Systems,2019
2. Impact of electronic service quality on customers satisfaction of Islamic banks in Jordan;International Journal of Academic Research in Accounting, Finance and Management Sciences,2017
3. Does financial awareness increase the acceptance rate for financial inclusion? An empirical examination in the era of digital transformation;Kybernetes,2022
4. Investigating antecedents of mobile payment systems' decision-making: a mediated model;Global Knowledge Memory and Communication,2022
5. Alalwan, A.A., Rana, N.P., Dwivedi, Y.K., Lal, B. and Williams, M.D. (2015), “Adoption of mobile banking in Jordan: exploring demographic differences on customers' perceptions”, in Janssen, M. et al. (Eds), Open and Big Data Management and Innovation, I3E 2015. Lecture Notes in Computer Science, Vol. 9373. Springer, Cham. available at: https://org/10.1007/978-3-319-25013-7_2 (accessed 31 July 2022).
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献