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StatusThe thesis was presented on the 17 September, 2021Approved by NCAA on the 26 November, 2021 Abstract![]() ![]() ThesisCZU 005.334:334.7(043.3)
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Structure of the thesis: introduction, three chapters, general conclusions and recommendations, bibliography – 133 sources, 115 pages of main content, 12 tables, 13 annexes, 28 figures, and one formula. The results of thesis have been published in 7 scientific papers.
The thesis aim is to study the meaning of crisis management and to develop a business tool that can help enterprises to identify challenging areas of its operation and elaborate action plans aimed to prevent potential crisis.
Objectives of the thesis: are to study the state of art on crisis management, to study existing methods of early identification of crisis, to develop a tool, mostly for small and medium enterprises, which will allow to identify correctly the risks it is exposed to in order to prevent operational crises in due time, to apply the elaborated tool in order to propose measures to overcome identified risks, to make a comparative analysis on the state of the companies before and after applying the elaborated tool.
Scientific novelty and originality: the paper brings following novelties: new definition of risk management, based on literature review; critical analysis of existing risk management models from practical perspective; elaboration of a new mathematical algorithm to identify the level of exposure to risk and help preventing operational crisis – SHIModel and developing of the Software SHIModel; applying the SHIModel for identifying operational risks for real companies and development of actions plans to enhance companies’ activity; applying the SHIModel at-post restructuring phase, after taking measures.
Important scientific issue solved: The scientific problem solved is the scientific and methodological justification of an open tool, the use of which allows the identification and prevention of risk exposure in order to ensure an efficient development of enterprises. The theoretical significance: in the theoretical field, the paper is bringing new definition of risk management, based on literature review, as well the framework for a new model of a tool that can be used in order to identify and mitigate the exposure to operational risk.
Applicative value: the algorithm presented – SHIMmodel is a useful tool that can be used in order to identify and mitigate the exposure to operational risks of organizations and to prevent organizational crises. The mathematical algorithm is transposed into a software application that can process all the data collected from the field into precise numerical calculations of the exposure to risk of the companies that are being analysed. It is particularly valuable for small and medium sized enterprises that lack the resources to hire professional teams of business consultants.
Implementation of scientific results: The results of the research have been presented in 2
international conferences and confirmed by 6 implementations acts, coming from real economy
and academic field.
Under consideration [5] :
Theses Archive: