TY - JOUR
T1 - CONDITIONS THAT INFLUENCE USERS TO SHARE MEDICAL INFORMATION VIA CONSUMER APPLICATIONS. AN EVIDENCE FROM ISRAEL HEALTHCARE SECTOR
AU - Katz, T.
AU - Grimaldi, D.
N1 - Funding Information:
This is suggested to be compared to Relative Advantage, as the initial purpose of both constructs can be the same. Nevertheless, we do not have any evidence that these constructs Relative Advantage and Perceived Usefulness are indeed correlated and can also be addressed as similar. Further investigation for the research can be expend in order to reach concrete evidence, but this paper suggest that as Relative Advantage can be seem correlated to Perceived Usefulness, therefore we can raise the assumption that Perceived Usefulness has a positive effect in regards to users willingness to share their private data. This has been proven in the previous work of (Liu, C.-F., et al,2013), but ACKNOWLEDGEMENTS FDQ QRW VKDUH LQVLJKWV RQ WRGD\¶V GLVFXVVHG WHFKQRORJLHV privacy concerns dilemmas due to its releasing year. No financial support was made in the process of this research.
Publisher Copyright:
© 2022 International Society for Photogrammetry and Remote Sensing. All rights reserved.
PY - 2022/10/14
Y1 - 2022/10/14
N2 - Data-driven technologies are being greatly adopted in healthcare in order to create a better ecosystem of health for citizens in the development of smart cities. As we develop smart devices and services, there are growing concerns in the population's perception around privacy concerns in using these devices and services, and the necessity to share their medical sensitive information is often perceived as a holdback. The following study goal is to develop a model to better understand the conditions affecting privacy concerns in medical devices and services. Using primary research to test the suggested model using secondary research methods, and data analysis tools using python program with pandas library and ANOVA statistics. The solution proposed can offer a methodology for building health services in smarter and more connected cities.
AB - Data-driven technologies are being greatly adopted in healthcare in order to create a better ecosystem of health for citizens in the development of smart cities. As we develop smart devices and services, there are growing concerns in the population's perception around privacy concerns in using these devices and services, and the necessity to share their medical sensitive information is often perceived as a holdback. The following study goal is to develop a model to better understand the conditions affecting privacy concerns in medical devices and services. Using primary research to test the suggested model using secondary research methods, and data analysis tools using python program with pandas library and ANOVA statistics. The solution proposed can offer a methodology for building health services in smarter and more connected cities.
KW - App
KW - Big data
KW - Consumer acceptance
KW - Healthcare
KW - Israel
KW - Smart City
UR - https://www.scopus.com/pages/publications/85140616854
UR - https://hdl.handle.net/20.500.14342/6973
U2 - 10.5194/isprs-archives-XLVIII-4-W5-2022-61-2022
DO - 10.5194/isprs-archives-XLVIII-4-W5-2022-61-2022
M3 - Conference article
AN - SCOPUS:85140616854
SN - 1682-1750
VL - 48
SP - 61
EP - 68
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
IS - 4/W5-2022
T2 - 7th International Conference on Smart Data and Smart Cities, SDSC 2022
Y2 - 19 October 2022 through 21 October 2022
ER -
ODS 11: Ciudades y comunidades sostenibles