Methodology for Economic Analysis of Highly Uncertain Innovative Projects of Improbability Type

Modern conditions for real investment are generally associated with increasing uncertainty, which is even more relevant when evaluating innovative projects. Current innovation analysis methods using a linear model are outdated. At the same time, an open interactive model of the innovation process, f...

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Main Authors: Aleksandr Babkin, Nadezhda Kvasha, Daniil Demidenko, Ekaterina Malevskaia-Malevich, Evgeny Voroshin
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Risks
Subjects:
Online Access:https://www.mdpi.com/2227-9091/11/1/3
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author Aleksandr Babkin
Nadezhda Kvasha
Daniil Demidenko
Ekaterina Malevskaia-Malevich
Evgeny Voroshin
author_facet Aleksandr Babkin
Nadezhda Kvasha
Daniil Demidenko
Ekaterina Malevskaia-Malevich
Evgeny Voroshin
author_sort Aleksandr Babkin
collection DOAJ
description Modern conditions for real investment are generally associated with increasing uncertainty, which is even more relevant when evaluating innovative projects. Current innovation analysis methods using a linear model are outdated. At the same time, an open interactive model of the innovation process, formed due to digitalization, allows to connect to innovations at almost any stage of their life cycle. The aim of the study is to form a methodology for the economic analysis of innovative projects implemented in the context of an open innovation model. To achieve the goal, the study defines approaches to innovation projects differentiation. The approach to the analysis methods selection is based on the decision matrix. The developed decision matrix allows to determine the location of each project as its element and to select analysis methods, considering the project’s uncertainty characteristics. The logic of the analysis methods transformation under the influence of a changing uncertainty level determines the combination of the fuzzy-set approach and the concept of real options. The implementation of the project analysis algorithm leads to the choice of an appropriate method for evaluating effectiveness and ensures that the flexible risk response concept under conditions of improbable uncertainty is taken into account when implementing the option model.
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spelling doaj.art-50655cb98a2f4c46818bc693efa9e5292023-12-01T00:21:49ZengMDPI AGRisks2227-90912022-12-01111310.3390/risks11010003Methodology for Economic Analysis of Highly Uncertain Innovative Projects of Improbability TypeAleksandr Babkin0Nadezhda Kvasha1Daniil Demidenko2Ekaterina Malevskaia-Malevich3Evgeny Voroshin4Higher School of Economics and Engineering, Institute of Industrial Management, Economics and Trade, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg 195251, RussiaDepartment of Economics and Management of Infocommunications, The Bonch-Bruevich Saint Petersburg State University of Telecommunications, Saint Petersburg 193232, RussiaHigher School of Economics and Engineering, Institute of Industrial Management, Economics and Trade, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg 195251, RussiaDepartment of Management, The North-West Institute of Management-Branch of the Russian Presidential Academy of National Economy and Public Administration (RANEPA), Saint Petersburg 199034, RussiaDepartment of High-Tech Production Economics, St. Petersburg State University of Aerospace Instrumentation, Saint Petersburg 190000, RussiaModern conditions for real investment are generally associated with increasing uncertainty, which is even more relevant when evaluating innovative projects. Current innovation analysis methods using a linear model are outdated. At the same time, an open interactive model of the innovation process, formed due to digitalization, allows to connect to innovations at almost any stage of their life cycle. The aim of the study is to form a methodology for the economic analysis of innovative projects implemented in the context of an open innovation model. To achieve the goal, the study defines approaches to innovation projects differentiation. The approach to the analysis methods selection is based on the decision matrix. The developed decision matrix allows to determine the location of each project as its element and to select analysis methods, considering the project’s uncertainty characteristics. The logic of the analysis methods transformation under the influence of a changing uncertainty level determines the combination of the fuzzy-set approach and the concept of real options. The implementation of the project analysis algorithm leads to the choice of an appropriate method for evaluating effectiveness and ensures that the flexible risk response concept under conditions of improbable uncertainty is taken into account when implementing the option model.https://www.mdpi.com/2227-9091/11/1/3innovative projectsinvestment analysisrisk and uncertainty of improbability typereal optionsfuzzy-set approachopen interactive process innovation model
spellingShingle Aleksandr Babkin
Nadezhda Kvasha
Daniil Demidenko
Ekaterina Malevskaia-Malevich
Evgeny Voroshin
Methodology for Economic Analysis of Highly Uncertain Innovative Projects of Improbability Type
Risks
innovative projects
investment analysis
risk and uncertainty of improbability type
real options
fuzzy-set approach
open interactive process innovation model
title Methodology for Economic Analysis of Highly Uncertain Innovative Projects of Improbability Type
title_full Methodology for Economic Analysis of Highly Uncertain Innovative Projects of Improbability Type
title_fullStr Methodology for Economic Analysis of Highly Uncertain Innovative Projects of Improbability Type
title_full_unstemmed Methodology for Economic Analysis of Highly Uncertain Innovative Projects of Improbability Type
title_short Methodology for Economic Analysis of Highly Uncertain Innovative Projects of Improbability Type
title_sort methodology for economic analysis of highly uncertain innovative projects of improbability type
topic innovative projects
investment analysis
risk and uncertainty of improbability type
real options
fuzzy-set approach
open interactive process innovation model
url https://www.mdpi.com/2227-9091/11/1/3
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