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Big data technology acceptance in the healthcare industry. (c2019)

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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


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