DocumentCode
1677534
Title
Reveal the organizational substitution anomalies using network analysis methods
Author
Szilagyi, Gyozo
Author_Institution
Doctoral Sch. on Safety & Security Sci., Obuda Univ., Budapest, Hungary
fYear
2015
Firstpage
341
Lastpage
344
Abstract
The operational safety of an organisation is significantly influenced by the substitution system, it means that in case of absence of employees they are substituted by professionally competent persons. Substitution system need to have sufficient tolerant ability i.e. robustness to be able to maintain the operation safety of the organisation in case of absence. One of the factors that determine robustness of the substitution system is to what extents of differences are between professional competences of the substituted person and the substitutive person. The focus of my research was to discover anomalies of the substitution network of a middle-sized company using network theory methods. During the research I mapped four different ways the substitution network of the organisation and I investigated the differences and sameness of the particular networks. The differences and sameness that were discovered during the analysis show those latent anomalies of the substitution network, which could significantly influence the operation safety of the organization.
Keywords
business data processing; employment; organisational aspects; middle sized company; network analysis methods; network theory methods; operation safety; organizational substitution anomalies; substituted person; substitution network; substitution system; substitutive person; Companies; Matrices; Robustness; Safety; Software; Symmetric matrices; human network; network theory; organizational network; organizational operation safety; organizational substitution system; similarity probe;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
Conference_Location
Timisoara
Type
conf
DOI
10.1109/SACI.2015.7208225
Filename
7208225
Link To Document