Partial Least Squares Structural Equation Modeling Algorithm for Electronic Wallet

Abstract

The purpose of the paper identifies and measures the factors that influence users’ intention to use electronic wallets. We have based on the concepts and theoretical basis related to behavioral intention to accept and the use of new technology to form the proposed research model. Data was collected from Vietnam consumers who are living in Ho Chi Minh City usually use the e-wallet. With a sample size of 195 consumers in Vietnam, respondents were chosen by convenient methods. We used the partial least squares structural equation modeling (PLS-SEM) algorithm in Smartpls 3.2.7 for analyzing statistics. The research results investigated Performance expectancy, Effort Expectancy, Social influence, Facilitating conditions, Perceived Risk influence on Mobile wallet use intention through the PLS-SEM algorithm.