Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
A 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.
Recommended Citation
Namgay, Phub, "Knowledge Management in the Data Analytics System of Organisations in Bhutan" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 8.
https://aisel.aisnet.org/hicss-58/ks/knowledge_flows/8
Knowledge Management in the Data Analytics System of Organisations in Bhutan
Hilton Waikoloa Village, Hawaii
A 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.
https://aisel.aisnet.org/hicss-58/ks/knowledge_flows/8