dc.contributor.author |
Chmaissani, Hala |
|
dc.date.accessioned |
2020-11-03T08:39:56Z |
|
dc.date.available |
2020-11-03T08:39:56Z |
|
dc.date.copyright |
2019 |
en_US |
dc.date.issued |
2020-11-03 |
|
dc.date.submitted |
2019-05-10 |
|
dc.identifier.uri |
http://hdl.handle.net/10725/12307 |
|
dc.description.abstract |
With the advancement in information technology, researchers are realizing the remarkable potentials that big data technology can bring to the healthcare field by enhancing the efficiency of its workflow. Big data is suggested to play an essential role in the progression of the healthcare field as it provides tools to collect, organize, and analyze large structured or unstructured volumes of data. This gathered data can help in decision making. It has been contributing in the process of health care delivery and the discovery of specific diseases. Despite that, not all healthcare institutions are utilizing big data technology in their operations. This study is conducted to understand the acceptance of big data technology by healthcare institutions such as hospitals, laboratories, and medical equipment companies operating in emerging countries versus developed countries. While consonance on the importance of big data exists, results show that perceptions and attitudes toward big data usage are driven by different factors across countries. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Lebanese American University -- Dissertations |
en_US |
dc.subject |
Dissertations, Academic |
en_US |
dc.subject |
Big data -- Health aspects |
en_US |
dc.subject |
Medical care -- Data processing |
en_US |
dc.title |
Big data technology acceptance in the healthcare industry. (c2019) |
en_US |
dc.type |
Thesis |
en_US |
dc.term.submitted |
Spring |
en_US |
dc.author.degree |
MBA |
en_US |
dc.author.school |
SOB |
en_US |
dc.author.idnumber |
201706671 |
en_US |
dc.author.commembers |
Tarhini, Abbas |
en_US |
dc.author.commembers |
Dizeje, Hossein Eslami |
en_US |
dc.author.department |
N/A |
en_US |
dc.description.embargo |
N/A |
en_US |
dc.description.physdesc |
1 hard copy: x, 57 leaves; ill. (some col.); 30 cm. available at RNL. |
en_US |
dc.author.advisor |
Itani, Omar |
en_US |
dc.keywords |
Big Data |
en_US |
dc.keywords |
Information technology |
en_US |
dc.keywords |
Perceived usefulness |
en_US |
dc.keywords |
Perceived ease of use |
en_US |
dc.keywords |
Healthcare |
en_US |
dc.keywords |
Technology acceptance model (TAM) |
en_US |
dc.keywords |
Attitude |
en_US |
dc.keywords |
Behavioral intention |
en_US |
dc.description.bibliographiccitations |
Bibliography: leaves 53-57. |
en_US |
dc.identifier.doi |
https://doi.org/10.26756/th.2020.167 |
en_US |
dc.author.email |
hala.chmaissani@lau.edu |
en_US |
dc.identifier.tou |
http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
en_US |
dc.publisher.institution |
Lebanese American University |
en_US |
dc.author.affiliation |
Lebanese American University |
en_US |