Models and Methods for Evaluating Operational and Financial Reliability of Hightech Enterprises
Models and Methods for Evaluating Operational and Financial Reliability of Hightech Enterprises
Author(s): Aleksandr Mikhaylovich Batkovskiy, Alena Vladimirovna Fomina, Elena Georgievna Semenova, Еvgeniy Yuryevich Khrustalev, Oleg Еvgenyevich KhrustalevSubject(s): Business Economy / Management, Methodology and research technology, Evaluation research, Financial Markets
Published by: Reprograph
Keywords: contractor reliability; modeling; high-tech project; science and production risks; engineering and production risks; high-tech enterprise; financial standing; audit; performance evaluation; expert eva
Summary/Abstract: New tools should be developed for evaluating financial, economic and scientific reliability of businesses. The provided analysis of the existing methods for evaluating financial, economic and scientific activities of the companies engaged in high- tech projects shows that they are mostly focused on investigating separate aspects of high- tech businesses and fail to provide any possibility to apply the whole aggregate of the conventional evaluation methods. To ensure comprehensive reliability evaluation of the contractor companies, the method has been developed that helps obtaining unambiguous evaluations with the limited amount of the input data. The evaluation considers both financial-economic and scientific- production components of reliability. The financial and economic component of reliability is understood as the ability of the company to fulfill its economic plans. Scientific and production component is its ability to perform works on regular basis in conformity with the customer’s terms of reference if the customer fulfills own financial obligations. The developed model and the suggested methodology allow integrating both qualitative appraisals of business efficiency and quantitative indicators of practical operations. The suggested models and methods use more precise measuring scales (as compared to conventional tools) to select the most reliable companies for innovative projects, for incorporation or for credit- related purposes.
Journal: Journal of Applied Economic Sciences (JAES)
- Issue Year: XI/2016
- Issue No: 45
- Page Range: 1384-1388
- Page Count: 5
- Language: English