@inproceedings{946f49e9c62a44f7abb148e11fa43bd7,
title = "A new approach for the knowledge assessment of countries",
abstract = "In this paper, 103 countries investigated by World Economic Forum in order to specify their global competitiveness level are analyzed and compared according to Knowledge-Specific Criteria. Under the {"}Knowledge Specific Criteria{"} heading, two basic criteria group, are taken into consideration, namely; {"}technology: innovation and diffusion{"} and {"}human resource, education and labor{"}. The countries are clustered to find their relative position in terms of knowledge specific level and the basic factors underlying this position are revealed by using artificial neural network.",
keywords = "Country evaluation, Knowledge management, Neural networks",
author = "{\c S}ahin, {Sule Onsel} and F{\"u}sun {\"U}lengin and Emel Akta{\c s} and {\"O}zg{\"u}r Kabak and Topcu, {Y. Ilker}",
year = "2006",
doi = "10.3182/20060522-3-fr-2904.00029",
language = "English",
isbn = "9783902661050",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "PART 1",
pages = "179--184",
booktitle = "ASBoHS'06",
edition = "PART 1",
}