Integrated risk management model implementation's contextual dependence on company size
| Autor: | K Vesna Spasojević-Brkić, Abdulghder Alsharif Mohahmed, Nuri Alherian Mohamed, B Martina Perišić |
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| Rok vydání: | 2021 |
| Předmět: |
Process management
business.industry 05 social sciences standard 010501 environmental sciences Engineering (General). Civil engineering (General) risk management 01 natural sciences Standard context 0502 economics and business company size Model implementation TA1-2040 business 050203 business & management Risk management 0105 earth and related environmental sciences |
| Zdroj: | Tehnika (2021) 76(3):361-366 Tehnika, Vol 76, Iss 3, Pp 361-366 (2021) |
| ISSN: | 2560-3086 0040-2176 |
| Popis: | Novel integrated risk management model for standardized management systems, such as ISO 9001:2015 for quality management systems, ISO 14001:2015 for environmental management systems, ISO/IEC 27001:2013 for information security management systems, ISO 45001:2018 for occupational health and safety management systems, and ISO 22000:2018 for food safety management systems, has been proposed in order to enable that organizations can manage their processes and associated risks versus requirements of each internal and external stakeholder, due to the fact that those models rarely exist in literature. Proposed model consists of three levels - correspondence, coordination and integration and put in place a clear and structured approach to controlling organizational risks. Using sample of 30 Serbian companies the proposed model has been checked empirically to contextual independence of proposed model using Mann-Whitney U*test and it has been proved that model is context free and applicable to companies different in size since there were no differences between micro & small vs. medium & large companies. Limitation of this research for sure is the sample size, so its extension is recommended. Further recommendation for future research is also a more detailed analysis on collected data done by using more sophisticated statistical analysis tools, such as regression analysis, structural equations modeling and similar to see interrelations between variables in the proposed model. |
| Databáze: | OpenAIRE |
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