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
Strategic Group Analysis by Using Fuzzy Clustering
Date
2009-05-22
Author
Budayan, Cenk
Dikmen Toker, İrem
Birgönül, Mustafa Talat
Metadata
Show full item record
Item Usage Stats
162
views
0
downloads
Cite This
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 possible strategic groups within the Turkish construction industry. In this research, by considering the cluster validation techniques developed for fuzzy clustering, the number of the strategic groups is determined as three. The membership degrees of the companies to all clusters are obtained at the end of the analysis. It is concluded that the companies in the same strategic group do not necessarily implement the strategic recipe of the group at the same degree. Therefore, the traditional strategic group concept in which the clusters are wholly separated does not reflect the real strategic group structure of the Turkish construction industry and heterogeneity of strategies implemented in each group. Findings of this study can be used by professionals to understand their current strategic positions within the competitive environment and even in their strategic groups.
Subject Keywords
Strategic groups
,
Fuzzy clustering
URI
https://hdl.handle.net/11511/76114
Conference Name
Fifth International Conference on Construction in the 21st Century (CITC-V), 20 - 22 Mayıs 2009
Collections
Department of Civil Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy C-means method for strategic grouping
Budayan, Cenk; Dikmen Toker, İrem; Birgönül, Mustafa Talat (2009-11-01)
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 ma...
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...
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: strategic perspective, differentiation and performance in construction
Budayan, Cenk; Birgönül, Mustafa Talat; Department of Civil Engineering (2008)
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. In this thesis, by using a conceptual framework that reflects the strategic context, contents and process of construction companies and utilising alternative clustering methods such as traditional cluster analysis, self-organizing maps, and fuzzy C-means technique, a strategic group analysis was conducted for the Turkish construction industry. Results demonstrate th...
GoalDAG - ArchiMate Integration
Gungor, Cahit; Oğuztüzün, Mehmet Halit S. (2014-10-10)
Organizational alignment is an important issue in various interest areas such as Strategy, Business Process Management, Requirements Engineering, and Enterprise Architecture. From IT perspective the most holistic approach on alignment and control is Enterprise Architecture. Enterprise Architecture's eminent standard framework is TOGAF with companion architecture modeling language ArchiMate. Although ArchiMate proposes Motivation Extension to facilitate strategic alignment, this extension does not offer any ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
C. Budayan, İ. Dikmen Toker, and M. T. Birgönül, “Strategic Group Analysis by Using Fuzzy Clustering,” presented at the Fifth International Conference on Construction in the 21st Century (CITC-V), 20 - 22 Mayıs 2009, İstanbul, Turkey, 2009, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/76114.