Modeling the Processes of Formation and Realization of High-Tech Startups’ Potential in the IT Sector: Testing the Resource-Functional and Econometric Approaches

Abstract

The article provides a scientific and applied substantiation for improving the modeling of the processes of formation and realization of the potential of high-technology startups in the ICT sector through the approbation of resource-functional and econometric approaches. The methodological and applied framework of the study is based on the use of correlation-regression, variance, and covariance analyses to substantiate the influence of resource-provision factors on the realization of the potential of business entities in Ukraine’s ICT sector. The key characteristics of the formation and realization of the potential of high-technology ICT startups include the processes of intellectual and human resources provision, financial and investment support, material and technical support, as well as innovation and technological provision. The renewal and modernization of managerial decisions aimed at improving the realization of the potential of high-technology startups in the ICT sector are proposed to be carried out by expanding the traditional analysis of the state and development trends of the ICT sector with methodological recommendations focused on forming generalized conclusions regarding the qualitative and quantitative characteristics of the development of industry-specific high-tech startups, using descriptive, comparative, and structural-temporal analytical tools. A systemic information-analytical model for the realization of the potential of business entities in the ICT sector has been developed and tested through econometric calculations. The main emphasis is placed on identifying interrelations and dependencies between the selected components of the analysis, assessing the level of influence of resource-provision trends on the ability to achieve set objectives, identifying statistically significant differences between the mean integral values of the components and the degree of homogeneity of the samples, as well as determining the impact of qualitative factors on the results of the formation and realization of the studied potential, taking into account the components and their elements that may distort the solution of the defined tasks.