200 related articles for article (PubMed ID: 35877288)
1. Examining the Intention of Authorization via Apps: Personality Traits and Expanded Privacy Calculus Perspectives.
Tang J; Zhang B; Xiao S
Behav Sci (Basel); 2022 Jun; 12(7):. PubMed ID: 35877288
[TBL] [Abstract][Full Text] [Related]
2. Determining factors affecting the user's intention to disclose privacy in online health communities: a dual-calculus model.
Sun Z; Zang G; Wang Z; Ge S; Liu W; Wang K
Front Public Health; 2023; 11():1109093. PubMed ID: 37538265
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. The Impact of Gamification-Induced Users' Feelings on the Continued Use of mHealth Apps: A Structural Equation Model With the Self-Determination Theory Approach.
Wang T; Fan L; Zheng X; Wang W; Liang J; An K; Ju M; Lei J
J Med Internet Res; 2021 Aug; 23(8):e24546. PubMed ID: 34387550
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Do personal health concerns and trust in healthcare providers mitigate privacy concerns? Effects on patients' intention to share personal health data on electronic health records.
Cherif E; Bezaz N; Mzoughi M
Soc Sci Med; 2021 Aug; 283():114146. PubMed ID: 34242891
[TBL] [Abstract][Full Text] [Related]
7. Research on user's highly sensitive privacy disclosure intention in home intelligent health service system: A perspective from trust enhancement mechanism.
Li S; Li R; Zhu B; Zhang B; Li J; Liu F; Wei Y
Digit Health; 2023; 9():20552076231219444. PubMed ID: 38107984
[TBL] [Abstract][Full Text] [Related]
8. Central or peripheral? Cognition elaboration cues' effect on users' continuance intention of mobile health applications in the developing markets.
Chen Y; Yang L; Zhang M; Yang J
Int J Med Inform; 2018 Aug; 116():33-45. PubMed ID: 29887233
[TBL] [Abstract][Full Text] [Related]
9. Information privacy behavior in the use of Facebook apps: A personality-based vulnerability assessment.
van der Schyff K; Flowerday S; Lowry PB
Heliyon; 2020 Aug; 6(8):e04714. PubMed ID: 32904276
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Barriers to and Facilitators of the Use of Mobile Health Apps From a Security Perspective: Mixed-Methods Study.
Zhou L; Bao J; Watzlaf V; Parmanto B
JMIR Mhealth Uhealth; 2019 Apr; 7(4):e11223. PubMed ID: 30990458
[TBL] [Abstract][Full Text] [Related]
12. Fitness Tracker Information and Privacy Management: Empirical Study.
Abdelhamid M
J Med Internet Res; 2021 Nov; 23(11):e23059. PubMed ID: 34783672
[TBL] [Abstract][Full Text] [Related]
13. Health Privacy Information Self-Disclosure in Online Health Community.
Yuchao W; Ying Z; Liao Z
Front Public Health; 2020; 8():602792. PubMed ID: 33614566
[TBL] [Abstract][Full Text] [Related]
14. Smartphone Users' Persuasion Knowledge in the Context of Consumer mHealth Apps: Qualitative Study.
Joo E; Kononova A; Kanthawala S; Peng W; Cotten S
JMIR Mhealth Uhealth; 2021 Apr; 9(4):e16518. PubMed ID: 33847596
[TBL] [Abstract][Full Text] [Related]
15. A privacy calculus model for contact tracing apps: Analyzing the use behavior of the German Corona-Warn-App with a longitudinal user study.
Harborth D; Pape S
Comput Secur; 2023 Sep; 132():103338. PubMed ID: 37334178
[TBL] [Abstract][Full Text] [Related]
16. Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns.
Liu Y; Lu X; Zhao G; Li C; Shi J
Front Psychol; 2022; 13():944976. PubMed ID: 36033004
[TBL] [Abstract][Full Text] [Related]
17. Individuals' privacy concerns and adoption of contact tracing mobile applications in a pandemic: A situational privacy calculus perspective.
Hassandoust F; Akhlaghpour S; Johnston AC
J Am Med Inform Assoc; 2021 Mar; 28(3):463-471. PubMed ID: 33164077
[TBL] [Abstract][Full Text] [Related]
18. The Roles of Trust in Government and Sense of Community in the COVID-19 Contact Tracing Privacy Calculus: Mixed Method Study Using a 2-Wave Survey and In-Depth Interviews.
Kang H; Lee JK; Lee EW; Toh C
JMIR Mhealth Uhealth; 2024 Mar; 12():e48986. PubMed ID: 38451602
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
