A vector-based approach to modeling knowledge in economics

Tim Sievers

This paper draws attention to two important characteristics of knowledge which so far have been left unexplored, and proposes a new method to capture them in economic modeling with the help of vectors. The direction of the vector represents the knowledge's complementarity with other knowledge and its norm represents its potential economic value. -- knowledge ; innovation ; innovative production ; vector representation ; complementarity

MoreLess

Year of publication:	2005 ; Version: February 2005
Authors:	Sievers, Tim
Publisher:	Hamburg : Univ., Fak. Wirtschafts- und Sozialwiss., Dep. Wirtschaftswiss.
Subject:	Wissen \| Knowledge \| Innovation \| Lineare Algebra \| Linear algebra \| Wirtschaftsmodell \| Economic model \| Theorie \| Theory

freely available

Full text |

More access options

www.uni-hamburg.de

epub.sub.uni-hamburg.de

Check Google Scholar

In libraries world-wide (WorldCat)

In German libraries (KVK)

subito order

I need help

Extent:	Online-Ressource (PDF-Datei: 7 S., 728,02 KB) graph. Darst.
Series:	Hamburg contemporary economic discussions. - Hamburg : [Verlag nicht ermittelbar], ISSN 1865-7133, ZDB-ID 2409805-X. - Vol. 03/2005
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature
Language:	English
Notes:	Systemvoraussetzungen: Acrobat Reader
ISBN:	978-3-940369-05-5
Other identifiers:	hdl:10419/49288 [Handle]
Classification:	C0 - Mathematical and Quantitative Methods. General ; O3 - Technological Change; Research and Development
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10009271078