Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy C-means method for strategic grouping
Date
2009-11-01
Author
Budayan, Cenk
Dikmen Toker, İrem
Birgönül, Mustafa Talat
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
227
views
0
downloads
Cite This
Strategic group analysis comprises of clustering of firms within an industry according to their similarities with respect to a set of strategic dimensions and investigating the performance implications of strategic group membership. One of the challenges of strategic group analysis is the selection of the clustering method. In this study, the results of the strategic group analysis of Turkish contractors are presented to compare the performances of traditional cluster analysis techniques, self-organizing maps (SOM) and fuzzy C-means method (FCM) for strategic grouping. Findings reveal that traditional cluster analysis methods cannot disclose the overlapping strategic group structure and position of companies within the same strategic group. It is concluded that SOM and FCM can reveal the typology of the strategic groups better than traditional cluster analysis and they are more likely to provide useful information about the real strategic group structure.
Subject Keywords
Strategic groups
,
Traditional cluster analysis techniques
,
Self-organizing map
,
Fuzzy C-means
URI
https://hdl.handle.net/11511/41040
Journal
EXPERT SYSTEMS WITH APPLICATIONS
DOI
https://doi.org/10.1016/j.eswa.2009.04.022
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
Strategic Group Analysis by Using Fuzzy Clustering
Budayan, Cenk; Dikmen Toker, İrem; Birgönül, Mustafa Talat (2009-05-22)
Strategic group is a group of firms in an industry following the same or similar strategy along a set of strategic dimensions. The aim of strategic group analysis is to find out if clusters of firms that have a similar strategic position exist within an industry or not, therefore it can be used as one of the methods for revealing the competitive structure. Using a theoretical conceptual framework applicable for the construction industry and fuzzy clustering, the objective of this research is to identify pos...
Hybrid strategic groups in construction
BUDAYAN, CENK; Dikmen Toker, İrem; Birgönül, Mustafa Talat (2011-09-01)
The aim of strategic group analysis is to question the existence of clusters of firms that implement a similar strategic perspective and performance implications of strategic group membership. Strategic group analysis is usually carried out by conducting statistical cluster analysis in which a company is assigned to a single strategic group. However, all the companies within the same group do not usually adhere to the strategic group recipe at the same degree. Hybrid firms develop their own strategic postur...
Strategic Group Analysis by Using Self Organizing Maps
Budayan, Cenk; Dikmen Toker, İrem; Birgönül, Mustafa Talat (null; 2007-09-05)
The aim of strategic group analysis is to find out if clusters of firms that have a similar strategic position exist within an industry or not. Findings of strategic group analysis may further be used to investigate the performance implications of strategic group membership. Using a theoretical conceptual framework applicable for the construction industry and self organizing maps (SOM), the objective of this research is to identify possible strategic groups within the Turkish construction industry. SOM is a...
Strategic Group Analysis in the Construction Industry
Dikmen Toker, İrem; Birgönül, Mustafa Talat (American Society of Civil Engineers (ASCE), 2009-04-01)
The aim of strategic group analysis is to determine whether clusters of firms that have a similar strategic position exist within an industry or not. Findings of strategic group analysis may further be used to investigate the performance implications of strategic group membership. The objective of this paper is to identify the possible strategic groups that could exist within the Turkish construction industry by using a theoretical framework applicable for the construction industry and alternative statistic...
Alignment of project management with business strategy in construction: evidence from the Turkish contractors
BUDAYAN, Cenk; Dikmen Toker, İrem; Birgönül, Mustafa Talat (2015-01-02)
The importance of fit between an organization's implementation of project management (PM), and its business level strategy is emphasized in the literature. However, there are a limited number of studies investigating the relationship between business level strategy and implementation of PM in the construction industry. This paper aligns one of the business strategies, namely differentiation, with the PM process. A framework representing differentiation in the construction industry is proposed in this study....
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
C. Budayan, İ. Dikmen Toker, and M. T. Birgönül, “Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy C-means method for strategic grouping,”
EXPERT SYSTEMS WITH APPLICATIONS
, pp. 11772–11781, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41040.