Title
Assessment and enhancement of organizational resilience in complex industrial enterprises in uncertain environment: doctoral dissertation
Creator
Huber, Michael, 1982-
CONOR:
130936585
Copyright date
2024
Object Links
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Autorstvo 3.0 Srbija (CC BY 3.0)
License description
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Language
Serbian
Cobiss-ID
Inventory ID
3824
Theses Type
Doktorska disertacija
description
Datum odbrane: 02.12.2024.
Other responsibilities
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Kragujevcu
Faculty
Fakultet inženjerskih nauka
Alternative title
Procena i unapređenje rezilijentnosti organizacije u složenim industrijskim preduzećima u neizvesnom okruženju
Publisher
[M. Huber]
Format
XIV, 190 listova
Abstract (en)
Under uncertain economic conditions, an organization's ability to bounce back after severe disruptions, or simply resilience, can be considered one of the most important characteristics for maintaining successful business operations. The aim of this research is to propose an
algorithm for the assessment of organizational resilience in industrial companies and to conduct
an analysis of the relationship between the organizational resilience factors and the recovery
times of key performance indicators.
Since the variables that are part of the research are subject to a high degree of uncertainty, they are modeled using fuzzy set theory. The methodology used for the research is an
extended fuzzy Delphi, where the fuzzy geometric mean is used as an aggregation operator.
The relationship between the organizational resilience factors and the recovery time of the key
performance indicators is based on a correlation analysis.
The proposed model is based on real data from a complex industrial company. The main
finding of the study is that the calculations indicate a significant negative correlation between
the variables discussed and a completely practical framework for organizational resilience (Huber et al. 2023).
Abstract (sr)
U neizvesnim ekonomskim uslovima, sposobnost organizacije da se oporavi nakon
ozbiljnih poremećaja, ili jednostavno rezilijentnost, može se smatrati jednom od najvažnijih
karakteristika za održavanje uspešnog poslovanja. Cilj ovog istraživanja je da se predloži
algoritam za procenu rezilijentnosti organizacije u industrijskim preduzećima i da se izvrši
analiza odnosa između faktora rezilijentnosti organizacije i vremena oporavka ključnih
indikatora performansi.
Pošto su promenljive koje su deo istraživanja podložne visokom stepenu neizvesnosti,
modeliraju se korišćenjem teorije fazi skupova. Metodologija korišćena za istraživanje je
prošireni fazi Delfi, gde se kao operator agregacije koristi fazi geometrijska sredina. Odnos
između faktora rezilijentnosti organizacije i vremena oporavka ključnih indikatora učinka
zasniva se na korelacionoj analizi.
Predloženi model je zasnovan na stvarnim podacima složenog industrijskog preduzeća.
Glavni nalaz studije je da proračuni ukazuju na postojanje značajne negativne korelacije između
promenljivih o kojima se raspravlja i potpuno nov praktični okvir za procenu organizacione
rezilijentnosti (Huber et al. 2023).
Authors Key words
Key Performance Indicators; Resilience Factors; Recovery Time; Fuzzy
Delphi Technique; Resilience Management Model Framework
Authors Key words
Ključni indikatori performansi; Faktori rezilijentnosti; Vreme oporavka;
Fazi Defhi Tehnika; Okvir modela za upravljanje rezilijentnošću
Classification
159.944-057.16:334.7(043)
Type
Tekst
Abstract (en)
Under uncertain economic conditions, an organization's ability to bounce back after severe disruptions, or simply resilience, can be considered one of the most important characteristics for maintaining successful business operations. The aim of this research is to propose an
algorithm for the assessment of organizational resilience in industrial companies and to conduct
an analysis of the relationship between the organizational resilience factors and the recovery
times of key performance indicators.
Since the variables that are part of the research are subject to a high degree of uncertainty, they are modeled using fuzzy set theory. The methodology used for the research is an
extended fuzzy Delphi, where the fuzzy geometric mean is used as an aggregation operator.
The relationship between the organizational resilience factors and the recovery time of the key
performance indicators is based on a correlation analysis.
The proposed model is based on real data from a complex industrial company. The main
finding of the study is that the calculations indicate a significant negative correlation between
the variables discussed and a completely practical framework for organizational resilience (Huber et al. 2023).
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