IDEAS home Printed from https://ideas.repec.org/a/eco/journ3/2017-02-07.html
   My bibliography  Save this article

The Features of Management of Innovation Risks at Pre-investment Stage of the Project in Modern Economic Realities

Author

Listed:
  • Valentina Zozulya

    (Chair “Accounting and Taxation”, Plekhanov Russian University of Economics, Moscow. Russia,)

  • Olga Romanchenko

    (Chair “Project and Program Management”, Plekhanov Russian University of Economics, Moscow, Russia,)

  • Andrey Zuykov

    (Chair “Accounting and Taxation”, Plekhanov Russian University of Economics, Moscow, Russia,)

  • Inga Zozulya

    (Production and Construction Private Company “Alliance”, Krasnoyarsk, Russia)

Abstract

The research deals with conceptual and methodological problems of investment project management including the questions of innovation risks or in other words risks of innovations at different stages of the project but mainly in respect of pre-investment stage. No doubt, one of these problems is organization or conceptual architecture of such projects, which can in general depend on the processes exactly at pre-investment stage. It’s clearly known - most investment initiatives were failed because of key weaknesses just when project had been in the form of idea. That’s why it’s extremely significant to form proper mechanisms or models which can let interested participants to determine the risks and influence of different factors both on the results of innovations and execution quality of investment projects and programs. Taking into account the specifics of investment project management and different methodologies of project organization in different industries, using methods of analogy and stage case-analysis, conditions the author’s “Model of investment project effectiveness assessment and management of innovation risks” was developed and represented in this scientific work. This model is especially usable for construction industry. We can certainly say that the effectiveness of investment projects can depend on the combination of some indicators such as net present value, lifecycle of the project, the number, quality and dynamic of movable and immovable fixed assets changes, innovation and other types of risks at different project stages and the methodology of project organization.

Suggested Citation

  • Valentina Zozulya & Olga Romanchenko & Andrey Zuykov & Inga Zozulya, 2017. "The Features of Management of Innovation Risks at Pre-investment Stage of the Project in Modern Economic Realities," International Review of Management and Marketing, Econjournals, vol. 7(2), pages 43-48.
    • Handle: RePEc:eco:journ3:2017-02-07
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/irmm/article/download/3715/pdf
    Download Restriction: no
    File URL: http://www.econjournals.com/index.php/irmm/article/view/3715/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khraibani, R. & de Palma, A. & Picard, N. & Kaysi, I., 2016. "A new evaluation and decision making framework investigating the elimination-by-aspects model in the context of transportation projects' investment choices," Transport Policy, Elsevier, vol. 48(C), pages 67-81.
    2. Kayser, Dirk, 2016. "Solar photovoltaic projects in China: High investment risks and the need for institutional response," Applied Energy, Elsevier, vol. 174(C), pages 144-152.
    3. Aleksandr Tatarkin & Olga Romanova, 2014. "Industrial policy: genesis, regional features and legislative provision," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 9-21.
    4. Du, Zaichao & Zhang, Lin, 2015. "Home-purchase restriction, property tax and housing price in China: A counterfactual analysis," Journal of Econometrics, Elsevier, vol. 188(2), pages 558-568.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Du, Zaichao & Yin, Hua & Zhang, Lin, 2022. "Foreign buyer taxes and house prices in Canada: A tale of two cities," Journal of Housing Economics, Elsevier, vol. 55(C).
    2. Yiyan Huang & Cheuk Hang Leung & Xing Yan & Qi Wu & Nanbo Peng & Dongdong Wang & Zhixiang Huang, 2020. "The Causal Learning of Retail Delinquency," Papers 2012.09448, arXiv.org.
    3. Funke, Michael & Leiva-Leon, Danilo & Tsang, Andrew, 2019. "Mapping China’s time-varying house price landscape," Regional Science and Urban Economics, Elsevier, vol. 78(C).
    4. Antinyan, Armenak & Asatryan, Zareh & Dai, Zhixin & Wang, Kezhi, 2021. "Does the frequency of reminders matter for their effectiveness? A randomized controlled trial," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 752-764.
    5. Zhao, Zhen-Yu & Chen, Yu-Long & Thomson, John Douglas, 2017. "Levelized cost of energy modeling for concentrated solar power projects: A China study," Energy, Elsevier, vol. 120(C), pages 117-127.
    6. Guo, Qiaozhen & He, Qiao-Chu & Chen, Ying-Ju & Huang, Wei, 2021. "Poverty mitigation via solar panel adoption: Smart contracts and targeted subsidy design," Omega, Elsevier, vol. 102(C).
    7. Lan, Hao & Moreira, Fernando & Zhao, Sheng, 2023. "Can a house resale restriction policy curb speculation? Evidence from a quasi-natural experiment in China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 841-859.
    8. Funke, Michael & Tsang, Andrew & Zhu, Linxu, 2018. "Not all cities are alike: House price heterogeneity and the design of macro-prudential policies in China," BOFIT Discussion Papers 18/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    9. Wanying Lu & Jianfu Shen, 2022. "Urban Leverage and Housing Price in China," JRFM, MDPI, vol. 15(2), pages 1-12, February.
    10. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    11. Du, Zaichao & Pei, Pei, 2021. "A simple and robust counterfactual impact evaluation," Economics Letters, Elsevier, vol. 207(C).
    12. Jia Pengfei & Lim King Yoong, 2021. "Tax Policy and Toxic Housing Bubbles in China," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(1), pages 151-183, January.
    13. Liberati, Danilo & Loberto, Michele, 2019. "Taxation and housing markets with search frictions," Journal of Housing Economics, Elsevier, vol. 46(C).
    14. Hengtian Wang & Xiaolong Yang & Xinxin Xu & Liu Fei, 2021. "Exploring Opportunities and Challenges of Solar PV Power under Carbon Peak Scenario in China: A PEST Analysis," Energies, MDPI, vol. 14(11), pages 1-28, May.
    15. Ruyin Long & Wenhua Cui & Qianwen Li, 2017. "The Evolution and Effect Evaluation of Photovoltaic Industry Policy in China," Sustainability, MDPI, vol. 9(12), pages 1-40, November.
    16. Wu, Jing & Gyourko, Joseph & Deng, Yongheng, 2016. "Evaluating the risk of Chinese housing markets: What we know and what we need to know," China Economic Review, Elsevier, vol. 39(C), pages 91-114.
    17. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    18. Zhang, Linling & Long, Ruyin & Chen, Hong, 2019. "Do car restriction policies effectively promote the development of public transport?," World Development, Elsevier, vol. 119(C), pages 100-110.
    19. Sarah Hafner & Olivia James & Aled Jones, 2019. "A Scoping Review of Barriers to Investment in Climate Change Solutions," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    20. Heiko Kirchhain & Jan Mutl & Joachim Zietz, 2020. "The Impact of Exogenous Shocks on House Prices: the Case of the Volkswagen Emissions Scandal," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 587-610, May.

    More about this item

    Keywords

    Innovation Risks; Investment Project; Methods of Modeling;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ3:2017-02-07. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.