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.
|Title of host publication||Structural equation modeling approaches to e-Service adoption|
|Place of Publication||Hershey PA, USA |
|Number of pages||21|
|Publication status||Published - 2019|
|Name|| Advances in Marketing, Customer Relationship Management, and E-Services (AMCRMES) Book Series|