Testing of the assessment model of enterprise investment attractiveness on an example of Ukrainian motor transport enterprises

The object of the research is the assessment model of enterprise investment attractiveness. The majority of the methods for assessment of investment attractiveness are built on determination and analysis of economic indicators by certain directions. Each of the directions contains a few indicators that substantially influence and comprehensively represent the area of an enterprise’s activity. We are talking about qualitative and quantitative indicators. One of the most problematic areas is the combination of qualitative and quantitative indicators for determining a single IA integrated index and checking this approach at motor transport enterprises. Using the model, it is possible to solve the biggest problem is to aggregate information directions and indexes, to define the universal integral index of enterprise investment attractiveness. To solve the problem raised in the article, there applied the following scientific research methods: critical analysis, abstract-logical method and generalization of scientific experience – at improving the principles for assessing investment attractiveness; mathematical and statistical analysis of research results conducted by employing the software of statistical data processing, SPSS (v21.0) and Microsoft Excel (2010). Thanks to these actions: the adaptability of the IА assessment model of the enterprise was checked on the example of the motor transport enterprises (MTE); the IA of the MTE and the main factors of influence on the MTE IA are determined; deviation of the actual IA index from the optimal one was calculated; conclusion regarding the need for increasing the values of the factors influencing the MTE IA level was made. Taking into account the identified weaknesses (negative effects) for each enterprise, we can form a list of priority measures to be implemented at MTE, it is possible to propose an algorithm for making the sound management decisions on optimizing the MTE IA level. On the basis of the obtained data it is possible to develop the program of financial restructuring adapted to the system for managing IA of each studied MTE. All those recommendations give us a possibility for further scientific elaborations.