TY - GEN
T1 - Multi-Generation Perception towards Digital Wallet in Indonesia
AU - Arindy,
AU - Suzianti, Amalia
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/6/16
Y1 - 2020/6/16
N2 - Digital wallet in Indonesia exists to facilitate payment transactions without using cash. Popular brands of digital wallet products in Indonesia are Go-pay, Ovo, Dana, LinkAja. This study aims to identify the influencing factors of user intentions to use and recommend digital wallets based on a multi-generation preference perspective. The existing model is modified and adapted to the characteristics of users in Indonesia, then the model is validated by Expert Judgment. The data obtained from the respondents by filling in an online form at Google form, in which the link was spreaded out through social media such as WhatsApp and Instagram. The total of sample of this study is 205 respondents. This study is using the Partial Least Square (PLS) method using SMARTPLS 3 software, the results of data analysis show in Generation X, Perceived ease of use, Perceived Usefulness, Compatibility, and Trust positively influence Intention to Use, and the factors that influence intention to use in generation Y are Perceived Usefulness, Perceived Behavioral Control, and Trust. Factors that influence intention to use in generation Z are Perceived Ease of Use, and Perceived Usefulness. eventually, based on the data of each generation, the Intention to use indirectly influence Actual Use, Perceived Satisfaction, AND Recommendation to use.
AB - Digital wallet in Indonesia exists to facilitate payment transactions without using cash. Popular brands of digital wallet products in Indonesia are Go-pay, Ovo, Dana, LinkAja. This study aims to identify the influencing factors of user intentions to use and recommend digital wallets based on a multi-generation preference perspective. The existing model is modified and adapted to the characteristics of users in Indonesia, then the model is validated by Expert Judgment. The data obtained from the respondents by filling in an online form at Google form, in which the link was spreaded out through social media such as WhatsApp and Instagram. The total of sample of this study is 205 respondents. This study is using the Partial Least Square (PLS) method using SMARTPLS 3 software, the results of data analysis show in Generation X, Perceived ease of use, Perceived Usefulness, Compatibility, and Trust positively influence Intention to Use, and the factors that influence intention to use in generation Y are Perceived Usefulness, Perceived Behavioral Control, and Trust. Factors that influence intention to use in generation Z are Perceived Ease of Use, and Perceived Usefulness. eventually, based on the data of each generation, the Intention to use indirectly influence Actual Use, Perceived Satisfaction, AND Recommendation to use.
KW - Digital Wallet
KW - Intention to Use
KW - Mobile Payment
KW - Partial Least Square
KW - Technology Acceptance
UR - http://www.scopus.com/inward/record.url?scp=85090976933&partnerID=8YFLogxK
U2 - 10.1145/3400934.3400940
DO - 10.1145/3400934.3400940
M3 - Conference contribution
AN - SCOPUS:85090976933
T3 - ACM International Conference Proceeding Series
SP - 19
EP - 24
BT - Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020 - Proceedings
PB - Association for Computing Machinery
T2 - 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020
Y2 - 16 June 2020
ER -