199 related articles for article (PubMed ID: 34639652)
1. Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?
Shamim A; Khan AA; Qureshi MA; Rafique H; Akhunzada A
Int J Environ Res Public Health; 2021 Oct; 18(19):. PubMed ID: 34639652
[TBL] [Abstract][Full Text] [Related]
2. Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik.
Akdur G; Aydin MN; Akdur G
JMIR Mhealth Uhealth; 2020 Oct; 8(10):e16911. PubMed ID: 33006566
[TBL] [Abstract][Full Text] [Related]
3. Research on the use intention of potential designers of unmanned cars based on technology acceptance model.
Huang T
PLoS One; 2021; 16(8):e0256570. PubMed ID: 34415950
[TBL] [Abstract][Full Text] [Related]
4. Understanding the adoption of smartphone apps in dairy herd management.
Michels M; Bonke V; Musshoff O
J Dairy Sci; 2019 Oct; 102(10):9422-9434. PubMed ID: 31351731
[TBL] [Abstract][Full Text] [Related]
5. Using Extended Technology Acceptance Model to Assess the Adopt Intention of a Proposed IoT-Based Health Management Tool.
Liu D; Li Q; Han S
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015853
[TBL] [Abstract][Full Text] [Related]
6. Factors influencing the adoption intention of using mobile financial service during the COVID-19 pandemic: the role of FinTech.
Yan C; Siddik AB; Akter N; Dong Q
Environ Sci Pollut Res Int; 2023 May; 30(22):61271-61289. PubMed ID: 34773583
[TBL] [Abstract][Full Text] [Related]
7. What factors predict physicians' utilization behavior of contrast-enhanced ultrasound? Evidence from the integration of the Theory of Planned Behavior and Technology Acceptance Model using a structural equation modeling approach.
Deng Q; Zheng Y; Lu J; Zeng Z; Liu W
BMC Med Inform Decis Mak; 2021 May; 21(1):173. PubMed ID: 34059025
[TBL] [Abstract][Full Text] [Related]
8. A model of extended technology acceptance for behavioral intention toward EVs with gender as a moderator.
Zhang BS; Ali K; Kanesan T
Front Psychol; 2022; 13():1080414. PubMed ID: 36591066
[TBL] [Abstract][Full Text] [Related]
9. Assessment of the Intention to Use Mobile Health Applications Using a Technology Acceptance Model in an Israeli Adult Population.
Shemesh T; Barnoy S
Telemed J E Health; 2020 Sep; 26(9):1141-1149. PubMed ID: 31930955
[No Abstract] [Full Text] [Related]
10. Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey.
Zhang Y; Liu C; Luo S; Xie Y; Liu F; Li X; Zhou Z
J Med Internet Res; 2019 Aug; 21(8):e15023. PubMed ID: 31411146
[TBL] [Abstract][Full Text] [Related]
11. Predictive factors of telemedicine service acceptance and behavioral intention of physicians.
Rho MJ; Choi IY; Lee J
Int J Med Inform; 2014 Aug; 83(8):559-71. PubMed ID: 24961820
[TBL] [Abstract][Full Text] [Related]
12. Personal and other factors affecting acceptance of smartphone technology by older Chinese adults.
Ma Q; Chan AH; Chen K
Appl Ergon; 2016 May; 54():62-71. PubMed ID: 26851465
[TBL] [Abstract][Full Text] [Related]
13. Modelling the mass adoption of mobile payment for e-hailing services using SEM-MGA.
Long S; Al Mamun A; Yang Q; Gao J; Hussain WMHW; Shami SSAA
PLoS One; 2023; 18(10):e0287300. PubMed ID: 37831669
[TBL] [Abstract][Full Text] [Related]
14. Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system.
Shrestha AK; Vassileva J; Joshi S; Just J
PeerJ Comput Sci; 2021; 7():e502. PubMed ID: 34084922
[TBL] [Abstract][Full Text] [Related]
15. Patients' Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test.
Dou K; Yu P; Deng N; Liu F; Guan Y; Li Z; Ji Y; Du N; Lu X; Duan H
JMIR Mhealth Uhealth; 2017 Dec; 5(12):e177. PubMed ID: 29212629
[TBL] [Abstract][Full Text] [Related]
16. Users' acceptance of electronic patient portals in Lebanon.
Honein-AbouHaidar GN; Antoun J; Badr K; Hlais S; Nazaretian H
BMC Med Inform Decis Mak; 2020 Feb; 20(1):31. PubMed ID: 32066425
[TBL] [Abstract][Full Text] [Related]
17. Perceived Factors Influencing the Public Intention to Use E-Consultation: Analysis of Web-Based Survey Data.
Qi M; Cui J; Li X; Han Y
J Med Internet Res; 2021 Jan; 23(1):e21834. PubMed ID: 33470934
[TBL] [Abstract][Full Text] [Related]
18. The Nexus between Green Perceived Quality, Green Satisfaction, Green Trust, and Customers' Green Behavioral Intentions in Eco-Friendly Hotels: A Structural Equation Modeling Approach.
Hashish ME; Abdou AH; Mohamed SAK; Elenain ASA; Salama W
Int J Environ Res Public Health; 2022 Dec; 19(23):. PubMed ID: 36498268
[TBL] [Abstract][Full Text] [Related]
19. Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services.
Mensah IK
Front Public Health; 2022; 10():906106. PubMed ID: 35774576
[TBL] [Abstract][Full Text] [Related]
20. Searching for New Model of Digital Informatics for Human-Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM).
Kang Y; Choi N; Kim S
Int J Environ Res Public Health; 2021 May; 18(11):. PubMed ID: 34073786
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]