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Theoretical Foundation for Managers’ Behavior
Analysis by Graph-Based Pattern Matching

Publication date: 2013

International Journal of Contemporary Management, 2013, Issue 12(4), pp. 110 - 123

Authors

Olaf Flak
University of Economics in Katowice
Ul. 1 Maja 50, 40-287 Katowice, Poland
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Titles

Theoretical Foundation for Managers’ Behavior
Analysis by Graph-Based Pattern Matching

Abstract

Background. Nowadays many research results in management are not able to be compared to one another. Scientists seem to build isolated ontologies, use incompatible research methods and draw conclusions which are at least neutral to each other. Thus, a new methodological approach could allow us to overcome these obstacles.
Research aims. The goal of this paper is to make a contribution to a methodology of research in management science in the field of theoretical research and drawing theoretical conclusions, by presenting a new approach to the analysis of managers’ behaviour.
Method. Presented approach to the analysis of managers’ behaviour is based on facts theory and the system of organizational terms. Such a basis lets us use graph theory to recognize patterns in managers’ behaviour.
Key findings. The graph-based pattern matching is useful to analyse managerial behaviour when the managers take part in management processes. Indispensable theoretical concept for this is the system on organizational terms based on the facts theory.

References


Information

Information: International Journal of Contemporary Management, 2013, Issue 12(4), pp. 110 - 123

Article type: Original article

Titles:

Polish:

Theoretical Foundation for Managers’ Behavior
Analysis by Graph-Based Pattern Matching

English:

Theoretical Foundation for Managers’ Behavior
Analysis by Graph-Based Pattern Matching

Authors

University of Economics in Katowice
Ul. 1 Maja 50, 40-287 Katowice, Poland

Published at: 2013

Article status: Open

Licence: None

Percentage share of authors:

Olaf Flak (Author) - 100%

Article corrections:

-

Publication languages:

English

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