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Nasproti merjenju znanja
ID Pavlin, Samo (Author), ID Svetlik, Ivan (Author)

URLURL - Presentation file, Visit http://dk.fdv.uni-lj.si/db/pdfs/tip20054-6_Pavlin_Svetlik.pdf This link opens in a new window

Abstract
Prispevek uvodoma pojasni, zakaj je proučevanje znanja sploh potrebno in zakaj tradicionalne statistične informacije o proizvodnji, investicijah, porabi in zaposlovanju vedno slabše pojasnjujejo gibanja v gospodarstvu in družbi. V članku prikazujemo različne pristope k strukturiranju indikatorskih modelov "Na znanju temelječe družbe/gospodarstva". Pri tem se še posebno opiramo na ugotovitve Organizacijeza ekonomsko sodelovanje in razvoj (OECD) ter Azijsko pacifiške ekonomske zveze (APEC). Ugotavljamo, da je merjenje znanja v družbi zelo zahteven, vendar nujno potreben projekt. Prispevek zaključimo s strukturiranjem indikatorskega modela, v katerega razvrstimo 21 indikatorjev družbe znanja.

Language:Slovenian
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:FDV - Faculty of Social Sciences
Year:2005
Number of pages:Str. 719-729
Numbering:Letn. 42, št. 4/6
PID:20.500.12556/RUL-22474 This link opens in a new window
UDC:316
ISSN on article:0040-3598
COBISS.SI-ID:24541021 This link opens in a new window
Publication date in RUL:11.07.2014
Views:1332
Downloads:242
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Record is a part of a journal

Title:Teorija in praksa : revija za družbena vprašanja
Shortened title:Teor. praksa
Publisher:Fakulteta za družbene vede
ISSN:0040-3598
COBISS.SI-ID:763652 This link opens in a new window

Secondary language

Language:Unknown
Abstract:
In introduction, the article elucidates the need for the study of knowledge ingeneral. The reasons why traditional statistical information on production, investment, consumption and employment no longer adequately explain the movements in society and economy are also scrutinized. Different approaches to the structuring of indicator models of "knowledge-based society and economy" are presented. The authors specially lean on the findings of OECD and APEC. Knowledge measurement in society is a very complex but cruicial project. In conclusion, the indicator model is structured and 21 indicatiors of the knowledge society are ranked.


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