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Оценка экономической эффективности инвестиционных проектов по цифровизации бизнес-процессов промышленных предприятий : магистерская диссертация

Authors: Kuzminskaya, A. G.;

Оценка экономической эффективности инвестиционных проектов по цифровизации бизнес-процессов промышленных предприятий : магистерская диссертация

Abstract

The study proposes a justification for the development of methodological support for assessing economic efficiency and risk analysis of investment projects in relation to the specifics of projects for the digitalization of business processes of an industrial enterprise. An algorithm for evaluating the economic efficiency of investment projects has been developed (the theory of fuzzy sets has been applied with the introduction of a formula for calculating a generalized indicator of the project's desirability).

В исследовании предложено обоснование развитие методического обеспечения оценки экономической эффективности и анализа рисков инвестиционных проектов применительно к особенностям проектов по цифровизации бизнес-процессов промышленного предприятия. Разработан алгоритм оценки экономической эффективности инвестиционных проектов (применена теория нечетких множеств с введением формулы расчета обобщенного показателя желательности проекта).

Keywords

BUSINESS PROCESSES, МАГИСТЕРСКАЯ ДИССЕРТАЦИЯ, MASTER'S THESIS, ИНВЕСТИЦИОННЫЙ ПРОЕКТ, RISK ANALYSIS, БИЗНЕС-ПРОЦЕССЫ, ЦИФРОВИЗАЦИЯ БИЗНЕС-ПРОЦЕССОВ, DIGITALIZATION OF BUSINESS PROCESSES, DIGITAL TRANSFORMATION, FUZZY SET THEORY, ТЕОРИЯ НЕЧЕТКИХ МНОЖЕСТВ, АНАЛИЗ РИСКОВ, ЦИФРОВАЯ ТРАНСФОРМАЦИЯ, INVESTMENT PROJECT

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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