Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/147205
Title: DETERMINANTS OF CASHLESS PAYMENT ADOPTION: A META-ANALYTIC STRUCTURAL EQUATION MODELLING APPROACH
Authors: LIN JINJIA
Keywords: cashless payments, adoption, perceived, Technology Acceptance Model
Issue Date: 10-Apr-2018
Citation: LIN JINJIA (2018-04-10). DETERMINANTS OF CASHLESS PAYMENT ADOPTION: A META-ANALYTIC STRUCTURAL EQUATION MODELLING APPROACH. ScholarBank@NUS Repository.
Abstract: The popularity of cashless payments is gathering pace, but adoption rates are still slow in some countries. In this study, we explore the reasons that drive adoption. A classic model on technology usage is the Technology Acceptance Model (TAM). It theorizes two factors, Perceived Usefulness and Perceived Ease of Use, as drivers of Adoption Intention. While literature is rich on the various factors that influence the intention to adopt, the findings are conflicting, and many theoretical extensions have been introduced. Based on the factors added in previous attempts to modify the TAM, we propose a more unified version of the TAM by pooling data across studies with those factors in mind using meta-analytic structural equation modelling. Results demonstrate good model fit, and psychological factors like Trust, Perceived Security and Social Influence have been found to be suitable extensions to the core components of the Technology Acceptance Model.
URI: http://scholarbank.nus.edu.sg/handle/10635/147205
Appears in Collections:Bachelor's Theses (Restricted)

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