Modeling the intention and usage of medicine vending machine: Using partial least squares-structural equation modelling and necessary condition analysis

ABSTRACT:

Objective

This study aimed to investigate the factors influencing the intention to use and actual usage of medicine vending machines (MVMs) in China and to close the existing literature gap by examining the relationship between perceived convenience (PC), perceived trust, performance expectancy, effort expectancy, and social influence, on the intention to use MVM in a comprehensive manner. The impact of facilitating conditions on MVM adoption was also examined. Finally, customer age was tested as a moderator.

Methods

This was a cross-sectional study that used data collected through a self-administered questionnaire. A combination of partial least squares-structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) technique was used to analyze and discuss

SUBMITTER:  

PROVIDER: S-EPMC10434986 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature