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A Clustering and Visualization Approach to the Analysis of Internal Control Structures

Annukka Jokipii, Aapo Länsiluoto, Tomas Eklund, A Clustering and Visualization Approach to the Analysis of Internal Control Structures. International Journal of Accounting, Auditing and Performance Evaluation 7(3), 151–175, 2011.

http://dx.doi.org/10.1504/IJAAPE.2011.040832

Abstract:

The purpose of this study is to use a visual clustering approach (the
self-organising map) to analyse differences in companies’ internal control (IC)structures, based upon the five components of the Committee of Sponsoring Organizations of the Treadway Commission (COSO) framework. The
empirical data were collected through a survey of 741 Finnish companies. Over 90% of the respondents were chief executive officers (CEOs) and the response rate was 50.4%. Five different clusters with differing IC structures were identified. Three of these clusters are partly in contradiction with the literature (high risk assessment vs. undeveloped control environment; advanced control environment vs. undeveloped other control structures; advanced control structures vs. low risk assessment). This study, therefore, raises several questions for future research and contributes to earlier IC and self-organising map (SOM) studies.

BibTeX entry:

@ARTICLE{jJoL,
  title = {A Clustering and Visualization Approach to the Analysis of Internal Control Structures},
  author = {Jokipii, Annukka and Länsiluoto, Aapo and Eklund, Tomas},
  journal = {International Journal of Accounting, Auditing and Performance Evaluation},
  volume = {7},
  number = {3},
  publisher = {Inderscience},
  pages = {151–175},
  year = {2011},
  keywords = {clustering; visualisation; Committee of Sponsoring Organizations of the Treadway Commission; COSO; internal control; IC; self-organising maps; SOMs; empirical survey; Finland; chief executive officers; CEOs; internal control structures},
}

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

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