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

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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

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Citation Formats

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.