A Dynamic Capabilities Perspective of Big Data Analytics in Healthcare in South Africa

dc.contributor.advisorOchara, N. M.
dc.contributor.advisorMunyoka, W.
dc.contributor.authorMathivha, Dakalo Tshifhiwa
dc.date2023
dc.date.accessioned2023-06-19T18:06:12Z
dc.date.available2023-06-19T18:06:12Z
dc.date.issued2023-05-19
dc.descriptionMCom (Business Information Systems)en_ZA
dc.descriptionDeparment of Business Information Systems
dc.description.abstractThe healthcare domain has constantly been swamped with a vast amount of complex data coming in swiftly. Big Data could be a term for tremendous data sets with expansive, more shifted, complex structures with troubles putting away, analyzing, and visualizing distinctive processes or results. Big Data Analytics may be a modern era of innovations and models planned to financially extract value from large volumes of a wide variety of data by empowering high-velocity capture, discovery, and analysis. An immeasurable sum of data is created in several healthcare industry divisions, such as data from clinics, hospitals, healthcare suppliers, medical insurance, medical equipment, life sciences, and medical research. With the progression in innovation technology, there is endless potential for utilizing this data to transform healthcare. The study aims to analyze how Big Data Analytics can be used for Data Management in Healthcare Organizations in South Africa to improve service delivery. The study reviewed the concept of BDA in healthcare, sources of Big Health Data, potential benefits and challenges, BDA capabilities, BDA technologies and techniques within healthcare, and Dynamic Capabilities Theory. The Dynamic Capabilities Theory was used as a theoretical lens to study Big Data Analytics in Healthcare. This research used primary data. A positivist research paradigm was used in this study. To achieve the aim of the study, 170 questionnaires were distributed for data collection, but only 102 responded. SPSS 25 was used to analyze data. The study found that the healthcare sector can spot, interpret, and pursue environmental opportunities. It can oversee and ideally synchronize resources, partners, deliverables, and tasks concerning tasks or necessities. It moreover can gather, understand, and exploit knowledge to make progressed decisions. Furthermore, it has processes that permit more effective problem-solving by combining different organizational resources. The findings further revealed that the healthcare sector could make strategic decisions and rapidly enact or execute against these by repositioning resources better to adjust the organization to the external or market environment.en_ZA
dc.description.sponsorshipNRFen_ZA
dc.format.extent1 online resource (xiii, 140 leaves) ; color illustrations
dc.identifier.apacitationMathivha, D. T. (2023). <i>A Dynamic Capabilities Perspective of Big Data Analytics in Healthcare in South Africa</i>. (). . Retrieved from http://hdl.handle.net/11602/2512en_ZA
dc.identifier.chicagocitationMathivha, Dakalo Tshifhiwa. <i>"A Dynamic Capabilities Perspective of Big Data Analytics in Healthcare in South Africa."</i> ., , 2023. http://hdl.handle.net/11602/2512en_ZA
dc.identifier.citationMathivha, D. T. (2023) A Dynamic Capabilities Perspective of Big Data Analytics in Healthcare in South Africa. University of Venda. South Africa.<http://hdl.handle.net/11602/2512>.
dc.identifier.ris TY - Dissertation AU - Mathivha, Dakalo Tshifhiwa AB - The healthcare domain has constantly been swamped with a vast amount of complex data coming in swiftly. Big Data could be a term for tremendous data sets with expansive, more shifted, complex structures with troubles putting away, analyzing, and visualizing distinctive processes or results. Big Data Analytics may be a modern era of innovations and models planned to financially extract value from large volumes of a wide variety of data by empowering high-velocity capture, discovery, and analysis. An immeasurable sum of data is created in several healthcare industry divisions, such as data from clinics, hospitals, healthcare suppliers, medical insurance, medical equipment, life sciences, and medical research. With the progression in innovation technology, there is endless potential for utilizing this data to transform healthcare. The study aims to analyze how Big Data Analytics can be used for Data Management in Healthcare Organizations in South Africa to improve service delivery. The study reviewed the concept of BDA in healthcare, sources of Big Health Data, potential benefits and challenges, BDA capabilities, BDA technologies and techniques within healthcare, and Dynamic Capabilities Theory. The Dynamic Capabilities Theory was used as a theoretical lens to study Big Data Analytics in Healthcare. This research used primary data. A positivist research paradigm was used in this study. To achieve the aim of the study, 170 questionnaires were distributed for data collection, but only 102 responded. SPSS 25 was used to analyze data. The study found that the healthcare sector can spot, interpret, and pursue environmental opportunities. It can oversee and ideally synchronize resources, partners, deliverables, and tasks concerning tasks or necessities. It moreover can gather, understand, and exploit knowledge to make progressed decisions. Furthermore, it has processes that permit more effective problem-solving by combining different organizational resources. The findings further revealed that the healthcare sector could make strategic decisions and rapidly enact or execute against these by repositioning resources better to adjust the organization to the external or market environment. DA - 2023-05-19 DB - ResearchSpace DP - Univen KW - Big Data Analytics KW - Dynamic Capabilities KW - Theory KW - Dynamic Capabilities KW - Healthcare KW - Data management KW - Service delivery LK - https://univendspace.univen.ac.za PY - 2023 T1 - A Dynamic Capabilities Perspective of Big Data Analytics in Healthcare in South Africa TI - A Dynamic Capabilities Perspective of Big Data Analytics in Healthcare in South Africa UR - http://hdl.handle.net/11602/2512 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11602/2512
dc.identifier.vancouvercitationMathivha DT. A Dynamic Capabilities Perspective of Big Data Analytics in Healthcare in South Africa. []. , 2023 [cited yyyy month dd]. Available from: http://hdl.handle.net/11602/2512en_ZA
dc.language.isoenen_ZA
dc.rightsUniversity of Venda
dc.subjectBig Data Analyticsen_ZA
dc.subjectUCTDen_ZA
dc.subjectTheoryen_ZA
dc.subjectDynamic Capabilitiesen_ZA
dc.subjectHealthcareen_ZA
dc.subjectData managementen_ZA
dc.subjectService deliveryen_ZA
dc.titleA Dynamic Capabilities Perspective of Big Data Analytics in Healthcare in South Africaen_ZA
dc.typeDissertationen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Dissertation - Mathivha, d. t.-.pdf
Size:
1.69 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: