Abstract
This paper proposes a continuance model of mobile wallet (m-wallet) adoption in an emerging economy. Then, the proposed model is tested using data collected from 621 m-wallet users. For data analysis, we use a partial least squares structural equation modeling tool to estimate the model and conduct multi-group analysis based on user location. An importance-performance map (IPM) analysis is also conducted. The results show that perceived user connectivity, technology characteristics, and satisfaction strongly predict m-wallet continuance intention. The multi-group analysis detected some differences based on user location. Then, the IPM analysis shows that perceived user connectivity seems to be the construct with the highest importance and performance for continuance intention. Finally, implications for research and practice are presented and discussed.
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