These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 36968721)

  • 1. Factors influencing the behavioral intention to use contactless financial services in the banking industry: An application and extension of UTAUT model.
    Chen L; Jia J; Wu C
    Front Psychol; 2023; 14():1096709. PubMed ID: 36968721
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk.
    AlHadid I; Abu-Taieh E; Alkhawaldeh RS; Khwaldeh S; Masa'deh R; Kaabneh K; Alrowwad A
    Int J Environ Res Public Health; 2022 Jul; 19(14):. PubMed ID: 35886133
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Acceptance Behavior of Smart Home Health Care Services in South Korea: An Integrated Model of UTAUT and TTF.
    Kang HJ; Han J; Kwon GH
    Int J Environ Res Public Health; 2022 Oct; 19(20):. PubMed ID: 36293859
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Cognitive factors and actual usage of Fintech innovation: Exploring the UTAUT framework for digital banking.
    Tariq M; Maryam SZ; Shaheen WA
    Heliyon; 2024 Aug; 10(15):e35582. PubMed ID: 39170372
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model.
    Hoque R; Sorwar G
    Int J Med Inform; 2017 May; 101():75-84. PubMed ID: 28347450
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Determinants of intention with remote health management service among urban older adults: A Unified Theory of Acceptance and Use of Technology perspective.
    Li W; Gui J; Luo X; Yang J; Zhang T; Tang Q
    Front Public Health; 2023; 11():1117518. PubMed ID: 36778558
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Gravitating towards Fintech: A study on Undergraduates using extended UTAUT model.
    Sultana N; Chowdhury RS; Haque A
    Heliyon; 2023 Oct; 9(10):e20731. PubMed ID: 37860530
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study.
    Ahadzadeh AS; Wu SL; Ong FS; Deng R
    J Med Internet Res; 2021 Dec; 23(12):e28086. PubMed ID: 34964718
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Consumers' Intention to Adopt m-payment/m-banking: The Role of Their Financial Skills and Digital Literacy.
    Ullah S; Kiani US; Raza B; Mustafa A
    Front Psychol; 2022; 13():873708. PubMed ID: 35572297
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analyzing older users' home telehealth services acceptance behavior-applying an Extended UTAUT model.
    Cimperman M; Makovec Brenčič M; Trkman P
    Int J Med Inform; 2016 Jun; 90():22-31. PubMed ID: 27103194
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model.
    Chao CM
    Front Psychol; 2019; 10():1652. PubMed ID: 31379679
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Mobile perceived trust mediation on the intention and adoption of FinTech innovations using mobile technology: A systematic literature review.
    Dawood HM; Liew CY; Lau TC
    F1000Res; 2021; 10():1252. PubMed ID: 35464181
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Understanding Users' Continuance Usage Behavior Towards Digital Health Information System Driven by the Digital Revolution Under COVID-19 Context: An Extended UTAUT Model.
    Bai B; Guo Z
    Psychol Res Behav Manag; 2022; 15():2831-2842. PubMed ID: 36212806
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Measuring User-Perceived Characteristics for Banking Services: Proposing a Methodology.
    Bitkina OV; Park J; Kim HK
    Int J Environ Res Public Health; 2022 Feb; 19(4):. PubMed ID: 35206548
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Factors Influencing the Intention to Use the Common Ticketing System (Spider Card) in Thailand.
    Prayoonphan F; Xu X
    Behav Sci (Basel); 2019 Apr; 9(5):. PubMed ID: 31035396
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model.
    Chen J; Wang T; Fang Z; Wang H
    Front Public Health; 2022; 10():1035398. PubMed ID: 36699866
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry.
    Tung FC; Chang SC; Chou CM
    Int J Med Inform; 2008 May; 77(5):324-35. PubMed ID: 17644029
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.