Knowledge Management in the Data Analytics System of Organisations in Bhutan

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dc.contributor.authorNamgay, Phub
dc.date.accessioned2024-12-26T21:08:55Z
dc.date.available2024-12-26T21:08:55Z
dc.date.issued2025-01-07
dc.description.abstractA study through the lens of Routine Dynamics theory was conducted among small- and medium-sized firms in Bhutan to examine knowledge management in their data analytics system. In such an economic setting, firms perform data analytics using in-house systems together with cloud computing to transform data into knowledge, mainly for predictive insights and competitive advantage. They use just-in-time (JIT) data analytics for knowledge on demand as a pragmatic approach, thus minimising uneconomical analytics. Firms also employ an in-house platform as a service system to monetise analytical outputs and knowledge. Since the primary focus of data analytics among firms is to support administrative functions, enhance business processes, and improve profit margins, systematic construction and use of tacit and explicit knowledge have received little attention. Hence, it is high time organisations augment their data analytics systems with practical knowledge management models for creating, managing, and using knowledge in a competitive digital environment.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.620
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other08a9b65d-41c6-44ab-975e-05ffbe8ade76
dc.identifier.urihttps://hdl.handle.net/10125/109468
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectKnowledge Flows, Transfer, Sharing, and Exchange
dc.subjectbhutan, cloud computing, data analytics, knowledge management, routine dynamics
dc.titleKnowledge Management in the Data Analytics System of Organisations in Bhutan
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage5167

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