AHP-Based Micro and Small Enterprises' Cluster Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86099411" target="_blank" >RIV/61989100:27240/13:86099411 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86099411
Result on the web
<a href="http://dx.doi.org/10.1109/SOCPAR.2013.7054132" target="_blank" >http://dx.doi.org/10.1109/SOCPAR.2013.7054132</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SOCPAR.2013.7054132" target="_blank" >10.1109/SOCPAR.2013.7054132</a>
Alternative languages
Result language
angličtina
Original language name
AHP-Based Micro and Small Enterprises' Cluster Identification
Original language description
Micro and Small Enterprises' (MSEs) cluster is a group of small firms operating in a defined geographic location, producing similar products or services, cooperating and competing with one another, learning from each other to solve internal problems, setting common strategies to overcome external challenges, and reaching distance markets through developed networks. During recent years, identifying MSEs cluster has become a key strategic decision. However, the nature of these decisions is usually complex and involves conflicting criteria. The aim of this paper is to develop an AHP-based MSEs cluster identification model. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model will be proposed in dealing with the cluster selection problems. Finally, a case study was taken to prove and validate the procedure of the proposed method. A sensitivity analysis is also performed to justify the results. (C) 2013 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013
ISBN
978-1-4799-3400-3
ISSN
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e-ISSN
—
Number of pages
7
Pages from-to
225-231
Publisher name
IEEE
Place of publication
New York
Event location
Hanoj
Event date
Dec 15, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380467000038