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Comparison of the Suitability of the Self-Organizing Map for Analyzing the Macro and Firm Environment -- An Empirical Field Survey

Aapo Länsiluoto, Tomas Eklund, Comparison of the Suitability of the Self-Organizing Map for Analyzing the Macro and Firm Environment -- An Empirical Field Survey. Benchmarking 15(4), 402–419, 2008.

Abstract:

Purpose -- The purpose of this study is to present and compare the results of an evaluation of two self-organizing map (SOM) models' suitability for financial environment analysis. The models are
constructed for analyzing the macro- and firm-level environments in the international pulp and paper industry.
Design/methodology/approach -- The data for the evaluation were collected through a field survey in 13 publicly-noted Finnish companies, with a total of 36 respondents. All the respondents were involved in business intelligence or corporate development related tasks.
Findings -- The results indicate that, the respondents appreciated the capabilities of both SOM models. All of the factors relating to accuracy, content, format, timeliness, and usability for strategic
decision making received ratings higher than neutral. Respondents also concluded that the SOM models have additional benefits compared to currently used methods. Finally, the respondents were willing to utilize the SOM as a complement to other tools for analyzing the competitive environment. Some subfactors of the firm level SOM model received statistically higher averages than the macro-level SOM model.
Originality/value -- Despite the SOM having been utilized in thousands of different applications, user satisfaction with the SOM and its information products has not previously been widely evaluated,
especially not by potential end-users.

BibTeX entry:

@ARTICLE{jLaEk08a,
  title = {Comparison of the Suitability of the Self-Organizing Map for Analyzing the Macro and Firm Environment -- An Empirical Field Survey},
  author = {Länsiluoto, Aapo and Eklund, Tomas},
  journal = {Benchmarking},
  volume = {15},
  number = {4},
  pages = {402–419},
  year = {2008},
  keywords = {Competitive analysis, Modeling, Paper pulp, Finland},
}

Belongs to TUCS Research Unit(s): Data Mining and Knowledge Management Laboratory

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