Understanding the Determinants of Customer Adoption and Intention to Recommend Electronic Money in Mobile Payments: The Case of Gopay in Indonesia

Arief Wibisono Lubis, Aldo Jay Irawan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The advancement of technology a?ects the life of the modern society in many ways. One of the technology innovations in the fnancial sector that grows rapidly at the moment is electronic money. Electronic money has entered the life of Indonesians for the last decade, and the number of electronic money providers is keep increasing. The competition has become tighter between popular electronic providers, with Gopay as the market leader according to its number of users. This research aims to examine the determinants that influence customers' adoption and intention to recommend electronic money in Indonesia, by focusing on Gopay. The data was collected through a survey on 270 Gopay users in DKI Jakarta, West Java, and Banten. The method employed in this research is structural equation model using LISREL. The result indicates that effort expectancy, facilitating condition, habit, compatibility and perceived technology security are signifcant factors that influence customers' intention to adopt Gopay. It is also shown that customers' intention to adopt Gopay affects their intention to recommend the technology.

Original languageEnglish
Title of host publicationICEEG 2020 - 2020 4th International Conference on E-commerce, E-Business and E-Government
PublisherAssociation for Computing Machinery
Pages64-70
Number of pages7
ISBN (Electronic)9781450388030
DOIs
Publication statusPublished - 17 Jun 2020
Event4th International Conference on E-commerce, E-Business and E-Government, ICEEG 2020 - Virtual, Online, France
Duration: 17 Jun 202019 Jun 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on E-commerce, E-Business and E-Government, ICEEG 2020
Country/TerritoryFrance
CityVirtual, Online
Period17/06/2019/06/20

Keywords

  • Customer adoption
  • DOI
  • Financial Technology
  • Intention to Recommend
  • UTAUT2

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