Risk Management in Company Providing Services on the International Market

Effective and integrated risk management requires integrating the risk management process into the enterprise management process. Each enterprise takes risks to achieve the planned results. The market economy creates both opportunities to achieve the planned profits and the risk of losses as a result of unfavorable changes in the company's environment and errors within the organization. At the time of making a decision, it is never certain how the conditions for the implementation of the planned project will develop in the future. Accounting, which is the most important element of the system, plays an important role in the risk management process information business unit. Nowadays, all business decisions are burdened with risk, which is why organizations more and more often decide to implement a risk management system.

METHOD OF RISK MANAGEMENT OF SCIENTIFIC PROJECT IN CONDITIONS OF UNCERTAINTY AND BEHAVIORAL ECONOMICS

The success of any project is to achieve the goal, get a unique product and meet the needs of stakeholders. Scientific projects are not an exception to the general rule, but have their own specifics and characteristics, in particular: complexity. The implementation of scientific projects takes place in conditions of complete uncertainty in the development of science, technology and engineering. To ensure the success of scientific projects, integrated risk management of scientific projects in conditions of uncertainty and behavioral economics was proposed. In order to implement it, it is proposed to develop methods of integrated risk management of stakeholders of scientific projects in conditions of uncertainty and behavioral economics, which take into account the assessment of personnel risks, conflicts and behavioral economics, as well as the calculation of "toxicity". These methods will help increase the efficiency of stakeholder management of scientific projects by reducing the negative effects of personnel risks, conflicts and behavioral economics. This study proposes the stages of integrated risk management of stakeholders of scientific projects in conditions of uncertainty and behavioral economics, based on the conceptual model of integrated risk management of scientific project conflicts in behavioral economics and the corresponding mathematical model. In addition, schemes for the implementation of the method of integrated risk management of stakeholders of scientific projects and the method of calculating indicators of "toxicity" of stakeholders of scientific projects are presented. The application of these methods will increase the efficiency of stakeholder management of scientific projects at the stage of initiation in the process of forming a register of project participants. In addition, they will reduce the likelihood of personnel risks, conflicts and behavioral economics associated with stakeholders in the implementation of scientific projects and will ensure the success of their implementation, obtaining a quality product and meeting the needs of stakeholders.

Integrated risk management model implementation's contextual dependence on company size

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.