Modeling of business processes of project financing
DOI:
https://doi.org/10.30564/jesr.v1i1.390Abstract
Need of transformation of means of support of project financing for commercial banks is proved. The analysis and modeling of business processes of project management by the contextual chart and the chart of decomposition is carried out that allowed to describe the main stages of project financing. With use of tools of programming the business application of project management which will promote operational assessment on selection of introduced drafts is created.
Keywords:
project management, business processes, business analytics, information system, investment project, efficiency of the project, modeling of business processes, computer support, process approachReferences
1. Anastassiadis F., Liebe U., Mußhoff O. (2015). Financial flexibility in agricultural investment decisions: A discrete choice experiment. Agricultural Economics Review, Vol. 16, No 1, pp. 47-58.
2. Cordeiro James J, Kent D Donald JR (2001). Do EVA(tm) adopters outperform their industry peers? Evidence from security analyst earnings forecasts. American business review, No 19(2), pp. 57
3. Dahl W.A., Dobson W.D. (1976). An analysis of alternative financing strategies and equity retirement plans for farm supply cooperatives. American Journal of Agricultural Economics, No 58, pp. 198–208.
4. Gamba, A. and Triantis, A. J. (2008). The value of financial flexibility. Journal of Finance, No 63, pp. 63-96.
5. Jahangir Allie, Darron West &Gizelle Willows (2016). The value of financial advice: An analysis of the investment performance of advised and non-advised individual investors. Investment Analysts Journal, Vol. 45, pp. 63-74
6. Kelejnikova S., Samygin D., Imyarekov S., Katajkina N., Abelova L., Artamonova Ju. (2017). Diagnostics and optimization of the vegetable market.Ponte, Vol. 73(3), pp. 270-283. doi: 10.21506/j.ponte.2017.3.24
7. Marchica M. T. and Mura, R. (2010). Financial flexibility, investment ability and firm value: evidence from firms with spare debt capacity. Financial Management, No 39, pp. 39-65.
8. Rubinstein А. (2017). Comments on Economic Models, Economics, and Economists: Remarks on Economics Rules by Dani Rodrik. Journal of Economic Literature, Vol. 55(1), pp. 162-172.
9. Russell L.A. (2013). Cost Efficiency and Capital Structure in Farms and Cooperatives. Unpublished Dissertation. Kansas State University.
10. Samygin D., Baryshnikov N., Vinnichek L., Glasunov I. (2017). Strategic models of optimization of support of farmers.Ponte, Vol. 73 (4), pp. 146-157. doi: 10.21506/j.ponte.2017.4.44
11. SamyginD.Yu., Baryshnikov N.G. (2015). Scenarios of Agricultural Business Development in Penza Oblast: Forecast and Risk Estimate.Studies on Russian Economic Development, Vol. 26(1), pp. 59–62. DOI: 10.1134/S1075700715010037
12. Sillano, M. and J. de Dios Ortúzar (2005). Willingness-to-pay estimation with mixed logit models: some new evidence. Environment and Planning A, No 37, pp. 25-50.
13. Wang Y.-C. (2016). The optimal capital structure in agricultural cooperatives under the revolving fund cycles. Agricultural Economics–Czech, No 62, pp. 45–50. DOI: 10.17221/204/2015-AGRICECON
Downloads
Issue
Article Type
License
Copyright © 2018 Denis Yur'evich Samygin, Olesya Sergeevna Shorokhova, Marina Olegovna Egorova

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


Denis Yur'evich Samygin 
