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The Value Analysis in the Investment Evaluation of Innovative Productions

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Advances in Human Factors, Business Management and Leadership (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 594))

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Abstract

The work objective is a study of methodological issues for evaluating innovation industries with the value analysis based on the modification of the economic value added indicator obtained by using the method of hierarchy analysis. It is shown that for the analysis of industrial enterprises’ investment appeal while calculating of their value as a measure of forecasted cash flows, from the point of view of the authors, it is expedient to use an indicator of economic value added (EVA), proposed by B. Stewart. Analyzing the structure of the expression for the value of the existing innovative enterprise with the economic value added indicator, the authors show that, in practice, it is expedient to apply its modification with the introduction into the calculated model the evaluation scaled constants that determine the significance of the economic value added components.

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References

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Authors and Affiliations

  1. Platov South-Russian State Polytechnic University (NPI), Prosveschenia Str. 132, Rostov Region, 346428, Novocherkassk, Russia

    Vasilyi Sychev, Galina Sycheva & Yulia Salnikova

Authors
  1. Vasilyi Sychev
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  2. Galina Sycheva
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  3. Yulia Salnikova
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Corresponding author

Correspondence to Vasilyi Sychev .

Editor information

Editors and Affiliations

  1. Belgafik Oy, University of Vaasa, Vaasa, Finland

    Jussi Ilari Kantola

  2. University of Szeged, Szeged, Hungary

    Tibor Barath

  3. Institute of Maritime Operations, University College of Southeast Norway, Borre, Norway

    Salman Nazir

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Sychev, V., Sycheva, G., Salnikova, Y. (2018). The Value Analysis in the Investment Evaluation of Innovative Productions. In: Kantola, J., Barath, T., Nazir, S. (eds) Advances in Human Factors, Business Management and Leadership. AHFE 2017. Advances in Intelligent Systems and Computing, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-319-60372-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-60372-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60371-1

  • Online ISBN: 978-3-319-60372-8

  • eBook Packages: EngineeringEngineering (R0)

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