FACTORS INFLUENCING CUSTOMERS ACCEPTANCE OF USING THE QR CODE FEATURE IN OFFLINE MERCHANTS FOR GENERATION Z IN BANDUNG (EXTENDED UTAUT2)

• Main Author: Tiara Imani, Aulia
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/40738
• Institution: Institut Teknologi Bandung

Mobile payment systems understands as the consumer that activate their mobile phone to fulfill the transactions in regards to paying goods and services by using their mobile devices. It is also happening in Indonesia, where the shifting of technology to support the cashless society future is also supported by the many techsavvy consumers in Indonesia. The leading mobile payment players, namely Go- Pay, OVO, DANA, LinkAja, etc. began to expand their target market network by adding the QR Code feature to perform transactions in offline merchants. With the offering transactions of cashbacks when using the mobile payment, the consumer will more likely to adopt the QR Code because the promotion can only be obtained by making offline transactions at several affiliated merchants, which in results contribute to the National Non-Cash Movement (GNNT). To support the National Non-Cash Movement (GNNT), this research approaches the generation who was born to exposed to the changes of technology, namely generation Z in Bandung. The purpose of this research is to identify the factors that can influence the behavioral intention and the actual usage for using the QR Code feature in mobile payment to perform transactions in offline merchants. This research will also identify the extent to which the actual usage of the QR Code feature can contribute to the National Non-Cash Movement (GNNT), starting from the scope of generation Z in Bandung. This research will be conducted by using Extended UTAUT2 with nine independent variables of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV), Habit (HT), Trust (T), and Perceived Risk (PR). These variables will be tested to the Behavioral Intention (BI) and also Actual Use (AU). The result indicates that Habit (HT) is the most significant factors to influence Behavioral Intention (BI). While the others, namely Behavioral Intention (BI), Facilitating Conditions (FC), Hedonic Motivation (HM), and Performance Expectancy (PE) influence to Actual Usage (AU) and Behavioral Intention (BI).