TY - GEN
T1 - The antecedents of trust and their influence on m-health adoption
AU - Resti Fitriani, Widia
AU - Fadli Wicaksono, Arief
AU - Gagastama Joewono, Danang
AU - Zidane Zaffar, Muhammad
AU - Shahputra, Reza Akbar
AU - Ronnavelly, Zieggy
AU - Hidayanto, Achmad Nizar
AU - Stefanus, Lim Yohanes
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by Universitas Indonesia under Publikasi Terindeks Internasional (PUTI) Kolaborasi Internasional (2Q2) Tahun Anggaran 2020 Nomor: NKB-755/UN2.RST/HKP.05.00/2020. We would also like to thank Faculty of Computer Science, Universitas Indonesia, for the support.
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/11/3
Y1 - 2020/11/3
N2 - The health industry in Indonesia is experiencing growth with more and more start-up companies engaged in the healthcare sector. Various digital services and health applications have also been available on various platforms, including on mobile devices commonly referred to as m-health. However, the level of awareness and adoption of digital health services in Indonesia is still low. This paper analyzes the factors that influence user trust in m-health and analyzes the relationship between trust and adoption of m-health. This research uses quantitative methods by collecting data through questionnaires. Data is processed by Partial Least Square (PLS) using SmartPLS application. The results of data processing show that trust is influenced by system quality, a disposition to trust, and disposition to risk. In addition, trust is proven to influence the adoption of m-health by intermediary factors perceived privacy concern and perceived benefit. This research has theoretical and practical implications for m-health platform providers.
AB - The health industry in Indonesia is experiencing growth with more and more start-up companies engaged in the healthcare sector. Various digital services and health applications have also been available on various platforms, including on mobile devices commonly referred to as m-health. However, the level of awareness and adoption of digital health services in Indonesia is still low. This paper analyzes the factors that influence user trust in m-health and analyzes the relationship between trust and adoption of m-health. This research uses quantitative methods by collecting data through questionnaires. Data is processed by Partial Least Square (PLS) using SmartPLS application. The results of data processing show that trust is influenced by system quality, a disposition to trust, and disposition to risk. In addition, trust is proven to influence the adoption of m-health by intermediary factors perceived privacy concern and perceived benefit. This research has theoretical and practical implications for m-health platform providers.
KW - Adoption
KW - Indonesia
KW - M-health
KW - Mobile health
KW - Trust
UR - http://www.scopus.com/inward/record.url?scp=85099276500&partnerID=8YFLogxK
U2 - 10.1109/ICIC50835.2020.9288521
DO - 10.1109/ICIC50835.2020.9288521
M3 - Conference contribution
AN - SCOPUS:85099276500
T3 - 2020 5th International Conference on Informatics and Computing, ICIC 2020
BT - 2020 5th International Conference on Informatics and Computing, ICIC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Informatics and Computing, ICIC 2020
Y2 - 3 November 2020 through 4 November 2020
ER -