Authors:
Phub Namgay
1
;
2
and
Pema Wangdi
2
Affiliations:
1
Department of Informatics and Media, Uppsala University, Sweden
;
2
School of Data Science and Data Analytics, Sherubtse College, Royal University of Bhutan, Bhutan
Keyword(s):
Political Data Ecosystem, Knowledge Management, Knowledge Pyramid, Democratic Electoral Process, Bhutan.
Abstract:
This study examines the dynamics of data management and knowledge flow in the political data ecosystem through the lens of the Knowledge Pyramid. We used open-government electoral documents and polling data for granular insights into how data, information, knowledge, and wisdom (DIKW) are managed in Bhutan’s political data ecosystem. Bhutan’s electoral stakeholders and political parties manage and use DIKW of varying types, sizes, and complexities. In particular, political parties use information systems, websites, and social media to manage data and construct and use knowledge for political activities. Democracy is still young and gaining a foothold in Bhutan. The political parties do not employ complex data technologies and rich human resources to manage DIKW emanating from the political data ecosystem. Thus, scope exists for electoral stakeholders and political actors to explore and adopt effective and efficient knowledge management infras-tructures to deal with DIKW elements in t
he political arena, namely the complex dynamics of turning raw data into higher elements of the Knowledge Pyramid. In addition to contributing to the knowledge management literature through an in-depth account of the DIKW aspects in the political space, this paper demonstrated the analytical and explanatory power of the Knowledge Pyramid for discourse on the political data ecosystem.
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