Distinguish significant adoption factors that influence users' behavioral expectation to utilize mobile payment: A survey

Pajaree Tansakul, Malka Halgamuge, Ali Syed

Research output: Book chapter/Published conference paperChapter (peer-reviewed)peer-review


In this chapter, the authors performed an analysis of the data extracted from 39 peer-reviewed scientific publications between 2015 and 2018 describing users' adoption of various mobile payment systems encompassing methods, technologies, adoption models, theories, variables of the adoption models and theories, as well as significant adoption factors. The analysis demonstrates that the technology acceptance model (TAM) is the most popular model to investigate users' adoption of mobile payment. Both the original and extended versions of TAM are studied broadly to examine the individual's intention to adopt mobile payment. In addition, the analysis of the results from this chapter demonstrates perceived compatibility has the strongest positive impact on the intention to use mobile payment technology whereas perceived risk has a negative relationship with the intention to use mobile payment technology.
Original languageEnglish
Title of host publicationStructural Equation Modeling Approaches to E-Service Adoption
EditorsYakup Akgul
PublisherIGI Global
Number of pages21
ISBN (Electronic)9781522580164
ISBN (Print)9781522580157
Publication statusPublished - 2019

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