Big Data Analytics And Operations Decisions: A Case Study Of Banks In Kenya
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Date
2019Author
Mitieka, Douglas Ombati
Type
ThesisLanguage
enMetadata
Show full item recordAbstract
Big Data Analytics is emerging as technology that re-defines how companies compete
through development of capabilities and new business models. In the era of Big Data
decisions can be automated in a way that guarantees speed, quality and flexibility. Despite
this rush and the push to have enterprises embrace BDA, empirical evidence shows that
majority of the firms have not been successful from their BDA initiatives. Those who have
built their operational capabilities by developing their organizational knowledge and skills
have shown some degree of success. The study applied knowledge based view to
understand how firms build their capabilities necessary to operate in the presence of Big
Data. An exploratory multiple case study research was conducted to establish how Big
Data is used in making operations decisions. Data was collected using semi-structured
interviews as the primary method and document review as the secondary method. The
findings indicate that operations capabilities, skilled workforce, team cohesion, culture and
cognitive capability have a role in shaping the use of Big Data Analytics for operations
decisions. Overall the results point to the significance of operational capabilities, cognitive
capabilities and team cohesion in designing operations that facilitate decisions that are of
high quality, adaptable and fast.
Keywords: Big Data Analytics, Operations Decisions, Team Cohesion, Operations
Capability, Cognitive Capability.
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UoN
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
- School of Business [1311]
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