Abstract
The purpose of this study is to develop an understanding of investment risks in the Russian economy, to analyse and assess the current conditions for investing in projects and to substantiate risk management approaches. This article examines the current issues of risk and uncertainty in business investment. Developed a matrix of investment risks based on a survey analysis of small businesses that should be considered when planning business projects in Russia. Based on the risk classification, a risk management architecture for all phases of the business project life cycle is proposed. In order to improve performance an approach to risk management in the current operations of the company is justified including a modified 4W model. It raises questions such as: which unit is responsible for implementing the risk management system, how many employees should be responsible for risk management processes, how often to monitor changes in business processes and which methods to use to assess risks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hecker, C.: How should responsible investors behave? Keynes’s distinction between entrepreneurship and speculation revisited. J. Bus. Ethics 171(3), 459–473 (2020). https://doi.org/10.1007/s10551-020-04427-2
Nanda, R., Rhodes-Kropf, M.: Investment cycles and startup innovation. J. Financ. Econ. 110(2), 403–418 (2013). https://doi.org/10.2139/ssrn.1950581
Dow, S.: Risk and uncertainty. In: Dimand, R.W., Hagemann, H. (eds.) The Elgar Companion to John Maynard Keynes, pp. 255–261. Edward Elgar Publishing (2019). https://doi.org/10.4337/9781788118569
Batchaeva, F., Mardeshich, A., Satsuk, T., et al.: Information, organizational and financial aspects of Russian corporations. Indo Am. J. Pharm. Sci. 6(3), 6232–6242 (2019). https://doi.org/10.5281/zenodo.2604229
Lyukevich, I., Agranov, A., Lvova, N., et al.: Digital experience: how to find a tool for evaluating business economic risk. Int. J. Technol. 11(6), 1244–1254 (2020). https://doi.org/10.14716/ijtech.v11i6.4466
Shavshukov, V.M., Zhuravleva, N.A.: Global economy: new risks and leadership problems. Int. J. Financ. Stud. 8(1), 7 (2020). https://doi.org/10.3390/ijfs8010007
Selyutina, L., Pesotskaya, E., Rybnov, E., et al.: Risks accounting when building a management system for innovative and investment processes in construction. E3S Web Conf. 217, 11010 (2020). https://doi.org/10.1051/e3sconf/202021711010
Clark, A., Zhuravleva, N.A., Siekelova, A., et al.: Industrial artificial intelligence, business process optimization, and big data-driven decision-making processes in cyber-physical system-based smart factories. J. Self Gov. Manag. Econ. 8(2), 28–34 (2020). https://doi.org/10.22381/JSME8220204
Brillinger, A.-S., Els, C., Schäfer, B., et al.: Business model risk and uncertainty factors: toward building and maintaining profitable and sustainable business models. Bus. Horiz. 63(1), 121–130 (2020). https://doi.org/10.1016/j.bushor.2019.09.009
Mujtaba, B.G.: The risk driven business model: four questions that will define your company. J. Appl. Manag. Entrepreneurship 20(1), 119–121 (2015)
Takhumova, O., Ryakhovsky, D., Satsuk, T., et al.: Ways to assess and improve the financial sustainability of Russian organizations development. Int. J. Eng. Adv. Technol. 9(1), 1568–1571. https://doi.org/10.35940/ijeat.A1360.109119
Rees, M.: Business Risk and Simulation Modelling in Practice: Using Excel, VBA and @RISK. Wiley, New York (2015)
Tversky, A., Kahneman, D.: Judgment under uncertainty: heuristics and biases. Science 185(4157), 1124–1131 (1974). https://doi.org/10.1126/science.185.4157.1124
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Satsuk, T., Zhutiaeva, S., Vladimirova, T., Parshina, V. (2022). Risks of Investing in Business Projects: Analysis, Evaluation, Management. In: Manakov, A., Edigarian, A. (eds) International Scientific Siberian Transport Forum TransSiberia - 2021. TransSiberia 2021. Lecture Notes in Networks and Systems, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-030-96380-4_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-96380-4_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-96379-8
Online ISBN: 978-3-030-96380-4
eBook Packages: EngineeringEngineering (R0)