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Influence factors of individual performance on m-payments: mixed methods approach

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Resumo(s)

This paper investigates which factors influence individual performance. We integrated the task technology fit (TTF) model with the influence of three dimensions: gamification, social influence, and price value. To test individual performance in the Portuguese context, 317 m-payment users completed a survey, and their responses were analysed using the SEM-PLS model. During the study, the COVID-19 pandemic broke out, and because of that was necessary to adopt a mixed methods approach, conducting interviews to triangulate the results obtained previously and to analyse the impact of the pandemic on users' individual performance. The results show that individual performance is explained by TTF and usage, with a moderating influence from the constructs under study. The final conclusions of the project are intended to help in the creation of strategies for m-payment service providers, allowing them to optimize the user experience.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence

Palavras-chave

M-payments Task technology fit (TTF) Mixed-methods Gamification

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