Analysis Of Extended Unified Theory Of Acceptance And Use Of Technology-2 Factors Towards Continuance Intention Of GOPAY Users In Yogyakarta
Shabrina Syevami Mustofa

School of Business and Management, Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia
shabrina.syevami[at]sbm-itb.ac.id

Abstract

Technology innovation brings many changes in the payment system, in which there is a transformation from traditional payment systems to digital or electronic payment systems. In responding to the digital changes and fulfilling the need of digital payments, businesses in Indonesia are currently emerging the financial technology (fintech) sector. One of the fintech payment product that is growing rapidly in Indonesia is a digital wallet. The market of electronic wallets in Indonesia is dominated by GoPay, an digital wallet used to make transactions within the GoJek application. GoPay has the best and fastest growth among other electronic payments in Indonesia. With the rapid growth of GoPay, GoPay have to always improve the quality of their performance and services by understanding the technology from consumer point of view. This research aims to identify the factors that influence user continuance intention in using GoPay based on the Extended Unified Theory of Acceptance and Use of Technology-2 (UTAUT-2) Model. There are nine variables examined, namely Performance Expectancy (PE), Expectancy Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV), Habit (HA), Trust (TU ), and Perceived Risk (PR). The methode of analysis in this research uses Multi Linear Regression. The results of this research found out that there are four significant factors influencing user continuance intention, namely Hedonic Motivation (HM), Performance Expectancy, Perceived Risk (PR), and Habit (HA). The most significant factor in influencing Continuance Intention (CI) is Hedonic Motivation (HM).

Keywords: Digital Wallet, GoPay, Continuance Intention, Extended UTAUT2, and Multi Linear Regression

Topic: Marketing

Link: https://ifory.id/abstract-plain/nzAeptYRX3N4

Web Format | Corresponding Author (Shabrina Syevami Mustofa)