Partial least squares structural equation modelling approach: How e-service quality affects customer satisfaction and behaviour intention of e-money

1Citations
Citations of this article
58Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The purpose of this study is to find out how E-service quality (E-SQ) affects customer satisfaction (CS) and behaviour intention (BI) in electronic money. The research method used is Partial Least Square-Structural Equation Modelling, PLS-SEM to determine the relationship between E-SQ to CS, E-SQ to BI, CS to BI and the relationship of E-SQ to BI with CS as a mediating variable. In processing data, it is known that E-SQ significantly affects CS with a value of 81.1%. Non-significant E-SQ affects BI with a value of 0.056, where E-SQ significantly affects BI with CS variable as a mediating variable with a value of 0.599. Based on the calculation results, it is found that CS directly affects BI users of electronic money ABC with a value of 0.669. This shows that the higher the E-SQ given, the higher the level of customer satisfaction will also have an impact on BI users of electronic money X-cash.

Cite

CITATION STYLE

APA

Ariyanti, F. D., & Joseph, A. A. (2020). Partial least squares structural equation modelling approach: How e-service quality affects customer satisfaction and behaviour intention of e-money. In IOP Conference Series: Earth and Environmental Science (Vol. 426). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/426/1/012130

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free