Investigating the antecedents of mHealth adoption by older adults in a lower-middle income country: The PLS-MGA approach

The adoption of technology and the rising digital divide among the older adult population, predominantly in lower-middle income countries such as Bangladesh, have posed a precarious challenge. Hence, the time has come to navigate this upcoming challenge. Thus, the current research aims to investigate the impact of perceived usefulness (PU), perceived ease of use (PE), and perceived risk (PR) on the behavioral intention to adopt mHealth (BI). Furthermore, multigroup analysis (MGA) is used to examine BI regarding gender and income groups. Data from 140 older adults in Bangladesh were gathered and later analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to estimate the measurement and structural model parameters and produce concurrent bootstrap evaluations. The findings revealed that PE and PU substantially affect the intention to adopt mHealth, whereas PR has small effect on mHealth adoption. Furthermore, the MGA depicts that the effect of PR is statistically significant for older adult males and females. Additionally, the effect of PE on behavioral intention to adopt mHealth between income groups (lower income vs. higher income) is significant. Therefore, this research advances our theoretical and empirical understanding by yielding new scholarly evidence in the domain of mHealth adoption by older adults. Finally, the paper concludes with augmented practical considerations concerning the adoption of mHealth as a technology by older adults, which will assist in alleviating the digital divide for any such lower-middle income country across the globe.