Purpose This paper aims to provide appropriate and effective methods for diagnosing and managing the reputational risk of a bank. Design/methodology/approach Using the data-mining system CONFOR, the authors have defined and arranged in the objective way the factors influencing the reputational risk level of a bank, with specific factor groups assigned. The mathematical tools of the theory of graphs and cognitive mapping are used for building the cognitive map of reputational risk assessment of a bank. To enable choosing which risk management strategies to use, the methods of impulse modeling and scenario analysis are applied for the purpose of prognostication. Findings The authors proposed an integrated approach to the objective determination of the reputational risk level and an easy-to-use choice of risk management scenarios considering all components of management decision making and the main managerial functions. Practical implications The range of tools proposed can be used as a simple measure of the bank's reputational risk level, as a component of risk management model, and as a strategic risk management tool. Implementing this approach at the level of the central bank will facilitate realization of its strategic program for restoring confidence in the banking system as a whole. Originality/value A relatively greater objectivity in the reputational risk assessment of the bank was achieved, with each stage formalized and confirmed by an economic and mathematical basis, risk parameters quantified. The authors have developed a comprehensive approach to the reputational risk level assessment (the integral assessment included) as well as the management algorithm.
The article is devoted to the generalization of theoretical ideas about the provision of the enterprise with fixed assets and the improvement of the methodology of its analysis. The article discusses problematic aspects of the analysis of the enterprise’s provision of fixed assets. Methodical approaches to the analysis of the enterprise’s supply of fixed assets are defined, the sequence of the analysis is presented, and the system of indicators is defined. It is noted that in modern conditions there are no universal methods of assessing the level of provision of fixed assets of the enterprise, complex indicators of the level of provision in accordance with the goals of the organization have limited application, the optimal values of indicators of provision of fixed assets are not substantiated. It is proposed to use industry average values of indicators and indicators of competitors as guidelines for the level of the enterprise’s provision of fixed assets. The proposed methodological approach was tested on the example of competing companies in the food industry of the Dnipropetrovsk region.
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