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Title:Web application for hierarchical organizational structure optimization : human resource management case study
Authors:Kofjač, Davorin (Author)
Bavec, Blaž (Author)
Škraba, Andrej (Author)
Files:.pdf Organizacija_2015_Kofjac,_Bavec,_Skraba_Web_Application_for_Hierarchical_Organizational_Structure_Optimization_–_Human_Resource_Manageme.pdf (1,19 MB)
 
URL http://www.degruyter.com/view/j/orga.2015.48.issue-3/orga-2015-0012/orga-2015-0012.xml
 
Language:English
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. Design/Methodology/Approach: The hierarchical structure was modeled according to the principles of System Dynamics. The problem of the undesired oscillatory behavior was addressed with deterministic finite automata, while the flow parameter values were optimized with genetic algorithms. These principles were implemented as a web application with JavaScript/ECMAScript. 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. Conclusion: The results indicate that the hierarchical organizational model, genetic algorithms and deterministic finite automata have been successfully implemented with JavaScript as a web application that can be used on mobile devices. The objective of the paper was to optimize the flow parameter values in the hierarchical organizational model with genetic algorithms and finite automata. The web application was successfully used on a three-state hierarchical organizational structure, where the optimal flow parameter values were determined and undesired oscillatory behavior was prevented. Therefore, we have provided a decision support system for determination of quality restructuring strategies.
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:1318-5454
UDC:005.7
ISSN on article:1318-5454
COBISS_ID:4034248 Link is opened in a new window
DOI:10.1515/orga-2015-0012 Link is opened in a new window
NUK URN:URN:SI:UM:DK:0DBOTFI4
License:CC BY-NC-ND 4.0
This work is available under this license: Creative Commons Attribution Non-Commercial No Derivatives 4.0 International
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Record is a part of a journal

Title:Organizacija
Publisher:Fakulteta za organizacijske vede Univerze v Mariboru, Založba Moderna organizacija, Sciendo
ISSN:1318-5454
COBISS.SI-ID:610909 New window

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:P5-0018
Name:Sistemi za podporo odločanju v elektronskem poslovanju

Secondary language

Language:Slovenian
Title:Spletna aplikacija za optimizacijo hierarhične organizacijske strukture : študija primera upravljanja človeških virov
Abstract:Ozadje in namen: V kompleksnih striktnih hierarhičnih organizacijskih strukturah se lahko pojavijo neželene oscilacije stanj, kar do sedaj še ni bilo zadovoljivo naslovljeno. Da preprečimo neželene oscilacije je potrebno optimirati vrednosti parametrov, ki določajo prehode med stanji strukture in fluktuacije iz stanj. Hkrati je potrebno obdržati vrednosti parametrov znotraj določenih meja. Cilj je bil razviti simulacijski model hierarhične organizacijske strukture v obliki spletne aplikacije, ki bi pomagal pri reševanju prej omenjenega problema. Metodologija: Hierarhična struktura je bila modelirana po principih sistemske dinamike. Problem neželenih oscilacij je bil naslovljen z uporabo determinističnega končnega avtomata, medtem ko smo vrednosti parametrov pretoka optimirali z genetskimi algoritmi. Vsi omenjeni pristopi so bili implementirani kot spletna aplikacija z JavaScript/ECMAScript programskim jezikom. Rezultati: Genetski algoritmi so bili testirani na znanih problemskih instancah za katere so znane optimalne analitične rešitve. Deterministični končni avtomat je bil verificiran in validiran na hierarhičnem organizacijskem modelu s tremi stanji, kjer smo z njegovo uporabo uspeli preprečiti oscilacije v organizacijski strukturi. Zaključek: Rezultati nakazujejo, da smo uspešno implementirali hierarhični organizacijski model, genetske algoritme in deterministični končni avtomat z JavaScript programskim jezikom v obliki spletne aplikacije, ki se lahko uporablja na mobilnih napravah. Razvito spletno aplikacijo smo uspešno uporabili na hierarhičnem organizacijski strukturi s tremi stanji, kjer smo določili optimalne parametre pretoka in fluktuacij ter preprečili neželene oscilacije stanj. S tem smo zagotovili sistem za podporo odločanju, ki omogoča določanje kakovostnih strategij za prestrukturiranje organizacij.
Keywords:človeški viri, študije primerov, hierarhična organizacijska struktura, sistemska dinamika, genetski algoritmi, deterministični končni avtomat, optimizacija


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