|Title:||Web application for hierarchical organizational structure optimization : human resource management case study|
|Authors:||Kofjač, Davorin (Author)|
Bavec, Blaž (Author)
Škraba, Andrej (Author)
|Files:|| Organizacija_2015_Kofjac,_Bavec,_Skraba_Web_Application_for_Hierarchical_Organizational_Structure_Optimization_–_Human_Resource_Manageme.pdf (1,19 MB)|
|Work type:||Scientific work (r2)|
|Typology:||1.01 - Original Scientific Article|
|Organization:||FOV - Faculty of Organizational Sciences in Kranj|
|Abstract:||Background and Purpose: In a complex strictly hierarchical organizational structure, undesired oscillations may occur, which have not yet been adequately addressed. Therefore, parameter values, which define fluctuations and transitions from one state to another, need to be optimized to prevent oscillations and to keep parameter values between lower and upper bounds. The objective was to develop a simulation model of hierarchical organizational structure as a web application to help in solving the aforementioned problem.
Results: Genetic algorithms were tested against well-known instances of problems for which the optimal analytical values were found. Deterministic finite automata was verified and validated via a three-state hierarchical organizational model, successfully preventing the oscillatory behavior of the structure.
|Keywords:||hierarchical organizational structure, genetic algorithms, deterministic finite automata, system dynamics, optimization, human resources|
|Year of publishing:||2015|
|Number of pages:||str. 177-187|
|Numbering:||št. 3, Letn. 48|
|ISSN on article:||1318-5454|
This work is available under this license: Creative Commons Attribution Non-Commercial No Derivatives 4.0 International
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