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Investing Data with Machine Learning Using Python Read chapter Read first chapter

2020 | OriginalPaper | Chapter

9. Integrating UTAUT with Trust and Perceived Benefits to Explain User Adoption of Mobile Payments

Authors : Rishi Manrai, Kriti Priya Gupta

Published in: Strategic System Assurance and Business Analytics

Publisher: Springer Singapore

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Abstract

This study investigates the factors affecting behavioral intentions to adopt mobile payment services by Indian citizens. The proposed model integrated factors from the unified theory of acceptance and use of technology (UTAUT) along with other important factors like perceived benefits and trust. This research model was empirically tested in New Delhi—the capital city of India, using 341 responses from a field survey. Data were analyzed using multiple regression analysis (MRA). The results showed that behavioral intention to adopt mobile payments is significantly and positively influenced by facilitating conditions, effort expectancy, performance expectancy, perceived benefits, and trust. Theoretically, this study significantly contributes to the existing knowledge specifically related to mobile payment channels and technology acceptance area in general. Practically, the study looks forward to provide the mobile payment service providers in India with suitable guidelines for effectively implementing and designing mobile payment services.

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Metadata
Title
Integrating UTAUT with Trust and Perceived Benefits to Explain User Adoption of Mobile Payments
Authors
Rishi Manrai
Kriti Priya Gupta
Copyright Year
2020
Publisher
Springer Singapore
Book
Strategic System Assurance and Business Analytics

Print ISBN: 978-981-15-3646-5

Electronic ISBN: 978-981-15-3647-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-3647-2_9

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