127 related articles for article (PubMed ID: 38449679)
1. Envisaging the intention and adoption of electronic health applications among middle-aged and older adults: Evidence from an emerging economy.
Hayat N; Al Mamun A; Gao J; Yang Q; Hussain WMHW
Digit Health; 2024; 10():20552076241237499. PubMed ID: 38449679
[TBL] [Abstract][Full Text] [Related]
2. How health motivation moderates the effect of intention and usage of wearable medical devices? An empirical study in Malaysia.
Hayat N; Zainol NR; Salameh AA; Al Mamun A; Yang Q; Md Salleh MF
Front Public Health; 2022; 10():931557. PubMed ID: 36045735
[TBL] [Abstract][Full Text] [Related]
3. Predicting the Mass Adoption of eDoctor Apps During COVID-19 in China Using Hybrid SEM-Neural Network Analysis.
Yang Q; Al Mamun A; Hayat N; Md Salleh MF; Salameh AA; Makhbul ZKM
Front Public Health; 2022; 10():889410. PubMed ID: 35570961
[TBL] [Abstract][Full Text] [Related]
4. Exploring the mass adoption potential of wearable fitness devices in Malaysia.
Hayat N; Salameh AA; Mamun AA; Alam SS; Zainol NR
Digit Health; 2023; 9():20552076231180728. PubMed ID: 37325073
[TBL] [Abstract][Full Text] [Related]
5. Modelling the mass adoption potential of wearable medical devices.
Yang Q; Al Mamun A; Hayat N; Salleh MFM; Jingzu G; Zainol NR
PLoS One; 2022; 17(6):e0269256. PubMed ID: 35675373
[TBL] [Abstract][Full Text] [Related]
6. The path to sustainability begins with going paperless: Antecedents of intention to use electronic wallet using serial mediation approach.
Che Nawi N; Husin HS; Said Al-Jahwari N; Zainuddin SA; Khan NU; Hassan AA; Wan Ibrahim WSAA; Mohamed AF; Mohd Nasir NS; Muhamad Hasan MZ
Heliyon; 2024 Jan; 10(2):e24127. PubMed ID: 38298640
[TBL] [Abstract][Full Text] [Related]
7. Relationship Between Perceived Risks of Using mHealth Applications and the Intention to Use Them Among Older Adults in the Netherlands: Cross-sectional Study.
Klaver NS; van de Klundert J; van den Broek RJGM; Askari M
JMIR Mhealth Uhealth; 2021 Aug; 9(8):e26845. PubMed ID: 34459745
[TBL] [Abstract][Full Text] [Related]
8. The Use of a Technology Acceptance Model (TAM) to Predict Patients' Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability.
Alsyouf A; Lutfi A; Alsubahi N; Alhazmi FN; Al-Mugheed K; Anshasi RJ; Alharbi NI; Albugami M
Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36674105
[TBL] [Abstract][Full Text] [Related]
9. What drives low-income older adults' intention to use mobility applications?
Chan DYL; Chong CY; Teh PL; Lee SWH
Geriatr Gerontol Int; 2024 Mar; 24 Suppl 1():342-350. PubMed ID: 38169136
[TBL] [Abstract][Full Text] [Related]
10. Smart technology for healthcare: Exploring the antecedents of adoption intention of healthcare wearable technology.
Chau KY; Lam MHS; Cheung ML; Tso EKH; Flint SW; Broom DR; Tse G; Lee KY
Health Psychol Res; 2019 Mar; 7(1):8099. PubMed ID: 31583292
[TBL] [Abstract][Full Text] [Related]
11. Intention to use Medical Apps Among Older Adults in the Netherlands: Cross-Sectional Study.
Askari M; Klaver NS; van Gestel TJ; van de Klundert J
J Med Internet Res; 2020 Sep; 22(9):e18080. PubMed ID: 32624465
[TBL] [Abstract][Full Text] [Related]
12. Examining Consumers' Adoption of Wearable Healthcare Technology: The Role of Health Attributes.
Cheung ML; Chau KY; Lam MHS; Tse G; Ho KY; Flint SW; Broom DR; Tso EKH; Lee KY
Int J Environ Res Public Health; 2019 Jun; 16(13):. PubMed ID: 31247962
[TBL] [Abstract][Full Text] [Related]
13. Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis.
Yang Q; Al Mamun A; Hayat N; Jingzu G; Hoque ME; Salameh AA
Front Public Health; 2022; 10():918989. PubMed ID: 35875013
[TBL] [Abstract][Full Text] [Related]
14. Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator.
Chopdar PK
Health Policy Technol; 2022 Sep; 11(3):100651. PubMed ID: 35855013
[TBL] [Abstract][Full Text] [Related]
15. Modelling the mass consumption potential of Plant Based Meat: Evidence from an emerging economy.
Yang M; Reza MNH; Yang Q; Al Mamun A; Hayat N
Heliyon; 2024 Jan; 10(2):e24273. PubMed ID: 38293529
[TBL] [Abstract][Full Text] [Related]
16. Factors Influencing the Adoption of Contact Tracing Applications: Systematic Review and Recommendations.
Oyibo K; Sahu KS; Oetomo A; Morita PP
Front Digit Health; 2022; 4():862466. PubMed ID: 35592459
[TBL] [Abstract][Full Text] [Related]
17. Extending the Privacy Calculus to the mHealth Domain: Survey Study on the Intention to Use mHealth Apps in Germany.
von Kalckreuth N; Feufel MA
JMIR Hum Factors; 2023 Aug; 10():e45503. PubMed ID: 37585259
[TBL] [Abstract][Full Text] [Related]
18. Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach.
Xinyan Z; Mamun AA; Ali MH; Siyu L; Yang Q; Hayat N
Front Public Health; 2022; 10():1016065. PubMed ID: 36388276
[TBL] [Abstract][Full Text] [Related]
19. Acceptance of digital health services among older adults: Findings on perceived usefulness, self-efficacy, privacy concerns, ICT knowledge, and support seeking.
Jokisch MR; Schmidt LI; Doh M
Front Public Health; 2022; 10():1073756. PubMed ID: 36582385
[TBL] [Abstract][Full Text] [Related]
20. Investigating Citizens' Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy.
Fox G; van der Werff L; Rosati P; Lynn T
JMIR Mhealth Uhealth; 2024 Jan; 12():e48700. PubMed ID: 38085914
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
