Mobile wallet adoption model among digital immigration generation in Indonesia

Abstract

Fintech innovations such as mobile wallets (m-wallet) are reshaping the payment landscape, m-wallet users in Indonesia are relatively high, but there is a gap in the number of m-wallet users by age group. The highest number of m-wallet users, mostly the young generation, is based on age. The digital immigrant generation is another age group with the potential to increase but still needs to be higher in adoption. This research's primary objective is to determine the effect of m-wallet adoption in Indonesia. This study aimed to comprehend how consumers adopted m-wallets. Four hundred respondents categorized as digital immigrants in Indonesia were surveyed quantitatively using a cross-sectional study approach using Smart PLS 3.1, and Partial Least Square Structural Equation Modeling (PLS-SEM) was used to evaluate the obtained data. The findings showed that perceived behavioral intention is significantly influenced by Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Perceived Security (PS), and Perceived Trust (PT). Consumer Behavioral intention is also significantly influenced by m-wallet adoption by digital immigrants in Indonesia.