Suchergebnisse

This article considers an implementation of a constructive scheme of collective decision-making, which is based on the Bayesian strategy, for the selection of investment projects to solve the socio-economic problem of Kyiv city. The relevance of this study is that in the absence of an objective and transparent system for selecting investment projects and with a limited regional budget, the government should accept only those investment projects that bring the greatest socio-economic benefits. The main ways of state investment in projects aimed at improving socio-economic problems are considered. Among them are the State Fund for Regional Development and the public-private partnership program. It is determined that a significant advantage of public-private partnership over the State Fund for Regional Development is the ability to attract both public funds and private investment. Three projects aimed at solving the problem were selected from the website of the Kyiv Investment Agency, which operates within the framework of a public-private partnership. The financial indicators of their profitability were calculated – NPV (net present value), IRR (internal rate of return) and PI (profitability index). They are based on the concept of incoming and outgoing payments during the period of project execution. It is determined that these indicators do not always give a consistent result, as well as their main drawback – the inability to assess the social component. According to the methodology of collective decision-making by a group of independent experts in terms of the minimum average probability of error, calculations were made to determine the most attractive project. It is noted that all experts make decisions separately and independently of each other. Recommendations were provided for the selection of a specific project. The study identifies the advantages of this method of project acceptance for investment: objectivity, consistency and transparency. In the future, it is planned to incorporate risks into the decision-making model.The main areas that need improvement were considered, and key ones were selected. The most problematic and urgent is the issue of waste recycling in Kyiv. ; This article considers an implementation of a constructive scheme of collective decision-making, which is based on the Bayesian strategy, for the selection of investment projects to solve the socio-economic problem of Kyiv city. The relevance of this study is that in the absence of an objective and transparent system for selecting investment projects and with a limited regional budget, the government should accept only those investment projects that bring the greatest socio-economic benefits. The main ways of state investment in projects aimed at improving socio-economic problems are considered. Among them are the State Fund for Regional Development and the public-private partnership program. It is determined that a significant advantage of public-private partnership over the State Fund for Regional Development is the ability to attract both public funds and private investment. Three projects aimed at solving the problem were selected from the website of the Kyiv Investment Agency, which operates within the framework of a public-private partnership. The financial indicators of their profitability were calculated – NPV (net present value), IRR (internal rate of return) and PI (profitability index). They are based on the concept of incoming and outgoing payments during the period of project execution. It is determined that these indicators do not always give a consistent result, as well as their main drawback – the inability to assess the social component. According to the methodology of collective decision-making by a group of independent experts in terms of the minimum average probability of error, calculations were made to determine the most attractive project. It is noted that all experts make decisions separately and independently of each other. Recommendations were provided for the selection of a specific project. The study identifies the advantages of this method of project acceptance for investment: objectivity, consistency and transparency. In the future, it is planned to incorporate risks into the decision-making model.The main areas that need improvement were considered, and key ones were selected. The most problematic and urgent is the issue of waste recycling in Kyiv.

The article conducted a model study of the load on the call centre of the state budget institution for its more efficient work. The relevance of this study is of particular importance in the context of the growing need for an uninterrupted process of communication between companies and customers with an increase in the cost of labour resources, the cost of their software and hardware. This problem can be solved by ensuring a balance of the necessary and sufficient amount of labour resources. With an increase in the efficiency of use of labour resources, their costs will decrease and the index of customer loyalty and satisfaction will grow. For this purpose, based on statistical data, forecast models are constructed. As a result of the predictive analysis of the input load data, the entire sample was reorganized in this way: the initial data were divided only by the days of the week, and the same data was divided by time for all days of the week. The reason for this separation was the impossibility of constructing an adequate forecast model for the entire sample due to the overlap of fluctuations in both time and days of the week, as well as the presence of non-stationarity caused, as the study showed, by a change in data depending on time and days of the week. However, such non-stationarity in the data did not allow building either an autoregressive model or a Winter's model. Autoregressive – due to the non-removable non-stationarity by the difference method, the Winter's model – due to the small trend. The imposition of oscillations did not allow them to be accurately simulate. A sample autocorrelation and a private sample autocorrelation function were constructed and the structure of time series was revealed for each of the obtained samples. Seasonal ARIMA models based on the Box-Jenkins approach were built, the adequacy of the developed models was studied and forecasts of the possible input load were made. The results of the forecasting carried out in this work were used to develop recommendations for improving the efficiency of use of labour resources at the enterprise under study.

The article conducted a model study of the load on the call centre of the state budget institution for its more efficient work. The relevance of this study is of particular importance in the context of the growing need for an uninterrupted process of communication between companies and customers with an increase in the cost of labour resources, the cost of their software and hardware. This problem can be solved by ensuring a balance of the necessary and sufficient amount of labour resources. With an increase in the efficiency of use of labour resources, their costs will decrease and the index of customer loyalty and satisfaction will grow. For this purpose, based on statistical data, forecast models are constructed. As a result of the predictive analysis of the input load data, the entire sample was reorganized in this way: the initial data were divided only by the days of the week, and the same data was divided by time for all days of the week. The reason for this separation was the impossibility of constructing an adequate forecast model for the entire sample due to the overlap of fluctuations in both time and days of the week, as well as the presence of non-stationarity caused, as the study showed, by a change in data depending on time and days of the week. However, such non-stationarity in the data did not allow building either an autoregressive model or a Winter's model. Autoregressive – due to the non-removable non-stationarity by the difference method, the Winter's model – due to the small trend. The imposition of oscillations did not allow them to be accurately simulate. A sample autocorrelation and a private sample autocorrelation function were constructed and the structure of time series was revealed for each of the obtained samples. Seasonal ARIMA models based on the Box-Jenkins approach were built, the adequacy of the developed models was studied and forecasts of the possible input load were made. The results of the forecasting carried out in this work were used to develop recommendations for improving the efficiency of use of labour resources at the enterprise under study.

The article conducted a model study of the load on the call centre of the state budget institution for its more efficient work. The relevance of this study is of particular importance in the context of the growing need for an uninterrupted process of communication between companies and customers with an increase in the cost of labour resources, the cost of their software and hardware. This problem can be solved by ensuring a balance of the necessary and sufficient amount of labour resources. With an increase in the efficiency of use of labour resources, their costs will decrease and the index of customer loyalty and satisfaction will grow. For this purpose, based on statistical data, forecast models are constructed. As a result of the predictive analysis of the input load data, the entire sample was reorganized in this way: the initial data were divided only by the days of the week, and the same data was divided by time for all days of the week. The reason for this separation was the impossibility of constructing an adequate forecast model for the entire sample due to the overlap of fluctuations in both time and days of the week, as well as the presence of non-stationarity caused, as the study showed, by a change in data depending on time and days of the week. However, such non-stationarity in the data did not allow building either an autoregressive model or a Winter's model. Autoregressive – due to the non-removable non-stationarity by the difference method, the Winter's model – due to the small trend. The imposition of oscillations did not allow them to be accurately simulate. A sample autocorrelation and a private sample autocorrelation function were constructed and the structure of time series was revealed for each of the obtained samples. Seasonal ARIMA models based on the Box-Jenkins approach were built, the adequacy of the developed models was studied and forecasts of the possible input load were made. The results of the forecasting carried out in this work were used to develop recommendations for improving the efficiency of use of labour resources at the enterprise under study.

This article considers an implementation of a constructive scheme of collective decision-making, which is based on the Bayesian strategy, for the selection of investment projects to solve the socio-economic problem of Kyiv city. The relevance of this study is that in the absence of an objective and transparent system for selecting investment projects and with a limited regional budget, the government should accept only those investment projects that bring the greatest socio-economic benefits. The main ways of state investment in projects aimed at improving socio-economic problems are considered. Among them are the State Fund for Regional Development and the public-private partnership program. It is determined that a significant advantage of public-private partnership over the State Fund for Regional Development is the ability to attract both public funds and private investment. Three projects aimed at solving the problem were selected from the website of the Kyiv Investment Agency, which operates within the framework of a public-private partnership. The financial indicators of their profitability were calculated – NPV (net present value), IRR (internal rate of return) and PI (profitability index). They are based on the concept of incoming and outgoing payments during the period of project execution. It is determined that these indicators do not always give a consistent result, as well as their main drawback – the inability to assess the social component. According to the methodology of collective decision-making by a group of independent experts in terms of the minimum average probability of error, calculations were made to determine the most attractive project. It is noted that all experts make decisions separately and independently of each other. Recommendations were provided for the selection of a specific project. The study identifies the advantages of this method of project acceptance for investment: objectivity, consistency and transparency. In the future, it is planned to incorporate risks into the decision-making model.The main areas that need improvement were considered, and key ones were selected. The most problematic and urgent is the issue of waste recycling in Kyiv. ; This article considers an implementation of a constructive scheme of collective decision-making, which is based on the Bayesian strategy, for the selection of investment projects to solve the socio-economic problem of Kyiv city. The relevance of this study is that in the absence of an objective and transparent system for selecting investment projects and with a limited regional budget, the government should accept only those investment projects that bring the greatest socio-economic benefits. The main ways of state investment in projects aimed at improving socio-economic problems are considered. Among them are the State Fund for Regional Development and the public-private partnership program. It is determined that a significant advantage of public-private partnership over the State Fund for Regional Development is the ability to attract both public funds and private investment. Three projects aimed at solving the problem were selected from the website of the Kyiv Investment Agency, which operates within the framework of a public-private partnership. The financial indicators of their profitability were calculated – NPV (net present value), IRR (internal rate of return) and PI (profitability index). They are based on the concept of incoming and outgoing payments during the period of project execution. It is determined that these indicators do not always give a consistent result, as well as their main drawback – the inability to assess the social component. According to the methodology of collective decision-making by a group of independent experts in terms of the minimum average probability of error, calculations were made to determine the most attractive project. It is noted that all experts make decisions separately and independently of each other. Recommendations were provided for the selection of a specific project. The study identifies the advantages of this method of project acceptance for investment: objectivity, consistency and transparency. In the future, it is planned to incorporate risks into the decision-making model.The main areas that need improvement were considered, and key ones were selected. The most problematic and urgent is the issue of waste recycling in Kyiv.

This article considers an implementation of a constructive scheme of collective decision-making, which is based on the Bayesian strategy, for the selection of investment projects to solve the socio-economic problem of Kyiv city. The relevance of this study is that in the absence of an objective and transparent system for selecting investment projects and with a limited regional budget, the government should accept only those investment projects that bring the greatest socio-economic benefits. The main ways of state investment in projects aimed at improving socio-economic problems are considered. Among them are the State Fund for Regional Development and the public-private partnership program. It is determined that a significant advantage of public-private partnership over the State Fund for Regional Development is the ability to attract both public funds and private investment. Three projects aimed at solving the problem were selected from the website of the Kyiv Investment Agency, which operates within the framework of a public-private partnership. The financial indicators of their profitability were calculated – NPV (net present value), IRR (internal rate of return) and PI (profitability index). They are based on the concept of incoming and outgoing payments during the period of project execution. It is determined that these indicators do not always give a consistent result, as well as their main drawback – the inability to assess the social component. According to the methodology of collective decision-making by a group of independent experts in terms of the minimum average probability of error, calculations were made to determine the most attractive project. It is noted that all experts make decisions separately and independently of each other. Recommendations were provided for the selection of a specific project. The study identifies the advantages of this method of project acceptance for investment: objectivity, consistency and transparency. In the future, it is planned to incorporate risks into the decision-making model.The main areas that need improvement were considered, and key ones were selected. The most problematic and urgent is the issue of waste recycling in Kyiv. ; This article considers an implementation of a constructive scheme of collective decision-making, which is based on the Bayesian strategy, for the selection of investment projects to solve the socio-economic problem of Kyiv city. The relevance of this study is that in the absence of an objective and transparent system for selecting investment projects and with a limited regional budget, the government should accept only those investment projects that bring the greatest socio-economic benefits. The main ways of state investment in projects aimed at improving socio-economic problems are considered. Among them are the State Fund for Regional Development and the public-private partnership program. It is determined that a significant advantage of public-private partnership over the State Fund for Regional Development is the ability to attract both public funds and private investment. Three projects aimed at solving the problem were selected from the website of the Kyiv Investment Agency, which operates within the framework of a public-private partnership. The financial indicators of their profitability were calculated – NPV (net present value), IRR (internal rate of return) and PI (profitability index). They are based on the concept of incoming and outgoing payments during the period of project execution. It is determined that these indicators do not always give a consistent result, as well as their main drawback – the inability to assess the social component. According to the methodology of collective decision-making by a group of independent experts in terms of the minimum average probability of error, calculations were made to determine the most attractive project. It is noted that all experts make decisions separately and independently of each other. Recommendations were provided for the selection of a specific project. The study identifies the advantages of this method of project acceptance for investment: objectivity, consistency and transparency. In the future, it is planned to incorporate risks into the decision-making model.The main areas that need improvement were considered, and key ones were selected. The most problematic and urgent is the issue of waste recycling in Kyiv.