This empirical study aims to examine what drives consumers' behavioral intention to adopt digital wallet by integrating task technology fit theory into UTAUT model. For this purpose, 700 samples were approached through emails, out of which 479 valid responses were solicited. To test and validate the proposed research model, CFA and SEM were performed using AMOS 20. The results of this study highlighted that task technology fit emerged as one of the significant factors among all factors included in the model with direct and indirect effect on behavioral intention. More interestingly, effort expectancy, hedonic motivation, and cost are found to be other significant predictors of consumers' digital wallet adoption. The outcomes of this study provide valuable insights for digital wallet service providers, system developers, and governments for their strategic decision to enhance the adoption of digital wallet in the upcoming digital era. This study contributes specifically in the area of digital wallet adoption and information system acceptance in general.
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