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April 2003 Measuring Knowledge Development and Developing Official Statistics for the Information Age
R. Ramachandran
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Internat. Statist. Rev. 71(1): 83-107 (April 2003).


Measuring knowledge development is a new statistical activity that warrants urgent attention in the light of the current Internet explosion. The Internet creates virtual networks by connecting information nodes, knowledge nexus, people and institutions. The Internet has resulted in an unprecedented proliferation of Information, Communication, Knowledge and Entertainment (ICKE), which has in turn brought about structural changes in all aspects of social, economic and political governance. For public policy formulators, including the statistical community, it is imperative that the knowledge development aspect of ICKE be measured. Being abstract, knowledge is difficult to quantify. However, the manifestations of attributes and variables of any knowledge development activity are measurable. The paper outlines a conceptual framework for achieving this. This proposed framework adopts a socio-technological approach, premised on contemporary information and knowledge development as an integral of the people and technology dimensions. To illustrate the workability of the proposed model, the paper identifies some parameters and variables in the current statistical system, and highlights some new data generated via the Internet Subscriber Study and ICT Exposition Visitor Study. All illustrations refer to Malaysian data. Finally, the paper outlines `way forward' initiatives for establishing a full-fledged set of information and knowledge development indicators.


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R. Ramachandran. "Measuring Knowledge Development and Developing Official Statistics for the Information Age." Internat. Statist. Rev. 71 (1) 83 - 107, April 2003.


Published: April 2003
First available in Project Euclid: 17 March 2004

zbMATH: 1114.62386

Keywords: Conceptual framework , Data knowledge chain , Hard and soft factors , Internet Subscriber Study (ISS) , Measurement parameters

Rights: Copyright © 2003 International Statistical Institute


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Vol.71 • No. 1 • April 2003
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