Search results

1 – 3 of 3
Book part
Publication date: 2 December 2019

Nataliya V. Asanova, Tatyana E. Kozhanova, Yuliya Y. Andreeva and Vera V. Nekrasova

The purpose of the chapter is to model the process of decision-making on selection of a certain process depending on the investing strategy.

Abstract

Purpose

The purpose of the chapter is to model the process of decision-making on selection of a certain process depending on the investing strategy.

Structure/Methodology/Approaches

The work includes consideration of the project on the basis of a simplified simulation model. Modeling is performed by the Monte Carlo method. Criteria of evaluation of the investment project are net investment value and profitability index.

Results

The authors model the process of decision-making by the example of analysis of an investment project. The process is implemented on the basis of the simulation model in the Mathcad program. Three cases of investing are considered: constant, change by linear law, and changed by non-linear law. Criteria of evaluation of investment project are selected, and risks are determined. The corresponding conclusions are made.

Originality/Value

The performed research is of the applied value and could be used for modeling real business processes at a company.

Details

The Leading Practice of Decision Making in Modern Business Systems
Type: Book
ISBN: 978-1-83867-475-5

Keywords

Content available
Book part
Publication date: 2 December 2019

Abstract

Details

The Leading Practice of Decision Making in Modern Business Systems
Type: Book
ISBN: 978-1-83867-475-5

Book part
Publication date: 29 October 2018

Yulia V. Ragulina, Leonid F. Malinovski, Yuliya A. Agunovich, Larisa A. Kapustyan and Oksana M. Zaryankina

The purpose of this chapter is to develop criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, determine the…

Abstract

Purpose

The purpose of this chapter is to develop criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, determine the corresponding indicators, and offer the method of evaluation of the effectiveness of state management of the process of implementing the information economy’s optimization model.

Methodology

This research applies the methods of induction, deduction, structural and functional analysis, and graphical presentation of information.

Results

Based on the peculiarities of the information economy’s optimization model, three main criteria of the effectiveness of state management while implementing this model are distinguished: flexibility of the normative and legal provision of information economy; balance of the level and rate of development of the noosphere components; and success of the protection, usage, and preservation of information’s uniqueness. To distinguish these criteria it is offered to evaluate the effectiveness of state management of the process of implementation of the information economy’s optimization model by progressive comparison of the sum of results with the sum of limitations and costs for each direction of state management of the process of implementation of the information economy’s optimization model, related to the provision of observation of the above criteria. The author determines the indicators that conform to the offered criteria of effectiveness of state management of the process of implementation of the information economy’s optimization model systematized in connection to these criteria, and offers the formula for calculating the final indicator of the effectiveness of state management of the process of implementation of the information economy’s optimization model.

Recommendations

The offered criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, the corresponding indicators, and the compiled methodology of evaluating the effectiveness of this process are recommended for usage as methodological provision of monitoring and control of implementation of the information economy’s optimization model.

1 – 3 of 3