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To investigate prevalence, published risk management reports of enterprises or evidence from other published material or possible registries will be used.

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Part Α 5-6.000 words delivered by Jan 10th 2023 Part Β 20.000 words delivered by March 15th 2023 in case any corrections needed Contact me for citation style As many sources needed according to your experience so that the subject if covered Introduction This Thesis will focus on application of Risk Management Standards in enterprises. The two most prevalent standards for RM in enterprises are ISO 31000:2018 and COSO ERM. They are mainly focused on the internal structure and processes of the organization to deal with the risks. Of course, they are both explicitly taking the external context into account, but their main focus is to organize the internal context so that it manages to perform better in this external environment. ISO 31000:2018 is a centralized standard treating Risk Management in all levels simultaneously. It allows for different layers or divisions of the enterprise, but the operation remains central (the same procedures can be separately applied in different layers or divisions) with very limited flexibility. COSO ERM focuses more on strategy and its alignment with corporate core values rather than with the organizational structure and how it deals with risks. This is very important in large organizations with different entities, where flexibility is required for adaptation of each entity to its own context and of the whole organization to new challenges, keeping their core values as an anchor to changing strategies either in local or corporate level, as well as a common monitoring and control. The aim of this Thesis is to identify the prevalence of each standard in enterprises internationally and the characteristics of enterprises (sector, size, etc.) that define the preference to one or another standard. Methodology A literature review about the characteristics that define preference to one or another standard will be conducted in journal papers, grey literature, etc. This will provide guidance for characteristics to be investigated in statistical analysis as well as information about the key differences in the characteristics of the two examined standards. These characteristics will be recorded in sampling. To investigate prevalence, published Risk Management reports of enterprises or evidence from other published material or possible registries will be used. Structured research will take place through Internet search engines with keywords that will be defined like “ISO31000”, “COSO ERM”, “Risk Management Standard”, etc. Enterprises will be registered in the sample with the characteristics of preference that will be defined from literature review. Results Enterprises will be sorted according to their characteristics. Statistical analysis will follow. According to the findings, hypotheses will be developed in order to be tested. Hypotheses may include whether a characteristic (e.g. sector) defines preference to a standard or whether a combination of characteristics may affect the situation. Discussion Discussion will start with a brief presentation of the two standards and particular discussion of their differences in terms of different structure, orientation or processes. This discussion will be enhanced with findings from literature review that will set the context for comparative examination of research findings of the Thesis. The findings of the statistical analysis will be presented against the findings from literature review, indicating and explaining any differences or potential controversies. Conclusions Brief conclusions with the main findings of the Thesis will follow, along with indications for further research when identified. TIMETABLE Literature review Month 1 Sampling Months 2-3 Statistical analysis Month 4 Discussion Months 5-6 Editing Months 7-9 No need for quantitive research with questionaries το be distributed TEACHER'S INSTRUCTIONS: If we have a total sample e.g. 100 businesses generally is small. However, if you have 70 large companies in Cyprus or 70 large companies in a sector from all over the world, it is good. Consider that the sample should represent a population. The more specific it is (country, industry, size, or whatever else you can think of) the smaller your sample needs to be.

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