1. Aligning Tasks, Technology, People, and Structures to Leverage the Value of Big Data Analytics.
- Author
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Mushore, Rutendo and Kyobe, Michael
- Subjects
BIG data ,TASKS ,INFRASTRUCTURE (Economics) ,FINANCIAL planners ,DEVELOPING countries - Abstract
This study provides an understanding of how task, technology, people and structures (TTPS) can be used by developing countries as a baseline for future alignment evaluations to leverage big data analytics (BDA) in healthcare. Enabling the adoption of patient-empowering technologies is being used to cultivate a more patient-centric and collaborative healthcare ecosystem. Creating simple and reliable technology then integrating it into the existing public healthcare infrastructure has generated new challenges for big data analytics. Challenges arise because of complex interactions among the tasks that need to be supported by the technology, people using the technology and the distinct contextual characteristics of the organization. Therefore, TTPS are organisational elements that affect the value generated by BDA. However, little is still known about how these interacting organizational elements can be aligned to obtain maximum BDA value. A study involving participants from different industrial sectors in South Africa was conducted to determine what level of alignment of TTPS yields the best value from BDA. We adopted the notion of alignment as Gestalts. Results show strong alignment between TTPS where IT experts work closely with financial planners. Adequate training, coupled with structures encouraging usage of BDA results in higher organisational performance when technology is in sync with the tasks. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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