Analysis of the choice of potential entrants’ choice of Kyiv National Economic University named after Vadym Hetman (KNEU). We represent key influential factors of choosing KNEU named after Vadym Hetman by entrants: Motivational and Prestigious, Demographic, Geographical, Psychographic, Social. The article presents the key factors, hypotheses confirmation and segment identification of the applicants who choose university. We build up the system of potential factors quantity of choosing KNEU by entrants on the basis of the above-mentioned hypotheses. This structured hierarchical scheme has 5 levels. Construction of the potential factors’ magnitude of choosing KNEU by entrants.For building up the abovementioned potential factors quantity system of choosing KNEU by entrants it was realized the survey by questionnaire for each of the presented factors within KNEU annual survey of first-year students entitled “Motivational factors of university entrants before entering the university”. The results of the survey, which was conducted in 2007, 2011 and 2017 for each item in all levels of the hierarchical scheme, were processed. In the three-dimensional Cartesian coordinate system, it was selected the axes are, which correspond respectively to the values of specific, relevant and potential factors for choosing KNEU by entrants. We presented in geometric interpretation the potential of choosing KNEU by respondents in the form of rectangular parallelepipeds. The modern knowledge economy requires a modern system of proficiency competencies. That’s why the most successful universities focus on instruments of higher education quality, realize educational programs' modernization on the base of student-centred education philosophy and build up a new system of the social network in the direction of social responsibility projects and business partnership with the academic community
The article discusses and summarizes the modern theoretical and practical transformational aspects of startups. Authors` attention is paid to the analysis of approaches of determining the startup by foreign and domestic researchers, which take into account at least three criteria, and it is mentioned that either quantitative or qualitative parameters of most of these definitions should be clarified. The authors identify the key transformational aspects of modern startup activities, among which thre are the implementation of completely new innovative solutions and existing advanced innovative technologies in the field of artificial intelligence and big-date; creation of highly skilled jobs and priority of innovative development and growth over short-term profits; attracting grant and investment funds to implement a startup idea. An analysis of the geographical and sectoral development of startups is conducted: leading countries in the number of startups for several years are the USA, India and the UK; the largest share of startups is concentrated in the information and communication technology sector and services. Authors also highliged the key activities of startups in the EU and US markets – the creation and sale of intellectual property and the provision of various services oppositing to the development, creation and sale of physical items, as well as key ambitions of startups focused not on maximizing short-term profits but on business scaling and promising innovative development. The key obstacles to the startups effective and fast development are also identified: uncertainty and variability of the market environment, the difficulty of attracting external financing, the effectiveness of the system of regulation and support of business, knowledge and competence of staff, the markets size. The generalization of modern theoretical and practical transformational aspects of startups provides a basis for further theoretical and practical developments in this areas as the researches on the development of startups both within Ukraine and in the global arena today is extremely actual.
When managing production or commodity stocks, two main questions arise: when to replenish the stock and what should be its optimal size. The purpose of this study is to build a probabilistic model, which can be proposed as a new inventory model, with the help of which the relationships between the period factors between the purchase of parts and their shelf life, which affect inventory management, are established. Research methods are based on the approach using continuous distribution laws. The size of the reserve of parts is calculated depending on the established risk factor. Using the statistical method, point estimates were found for the studied parameters: average and root mean square deviation. A histogram of relative frequencies between the dates of two consecutive purchases is constructed. Critical areas for the studied parameters are illustrated. The value of the difference in days between the purchase of parts and the amount of the purchase of parts, which correspond to the normal laws of the distribution of random variables with the appropriate parameters, as well as the critical values of the need for parts in the production process, were calculated. The size of the parts reserve was found, which corresponds to the normal distribution law, depending on the established risk factor. For different values of this coefficient, the value of the difference in days between purchases of parts, the amount of purchases and the reserve of parts, which correspond to the distributions of random values, as well as the critical value of the need for parts in the production process to avoid production downtime are given. Using the central limit theorem, it is shown that the purchase volume of parts and the volume of used parts are normally distributed. Taking into account the degree of uncertainty associated with the structure of demand and the time of use of stocks at the enterprise, the authors chose probabilistic models that make it possible to flexibly change simulated demand and take this into account in forecasting. The research concluded that the probabilistic approach is the basis for forecasting inventory management at the enterprise, which takes into account the risks associated with determining the optimal need for raw materials at the enterprise.
The purpose of the article is to study the models of forming of business income (monetization models) as a subsystem component of the overall business model of the company through a logical relationship: «business monetization model – business model of the company – global business ecosystem» to substantiate the most effective models in modern conditions of strengthening digitalization of economic development. The article visualizes the mechanism for forming the e-business strategy «from data analysis to strategy», that is, generalized, structured and in a certain way systematized data be of value – i. e., the knowledge that a company can use in developing its business strategy. The methodology for forming a business model of a company is analyzed on the basis of 4 key components: «Who? – What? – How? – Why?». The article provides a detailed analysis of monetization models for digital business (online format) in terms of their implementation, as well as generalized characterizations of each model; the key advantages and disadvantages of their implementation are distinguished. Attention is paid to the following monetization models: transactional income model (or production model of business monetization); markup model; advertising model; licensing model; arbitration model; commission (partnership/affiliate) monetization model; model of open innovation; model of «income from the sale of services»; subscription model (Freemium/Premium), as well as to the innovative and creative business models of companies and, in particular, their monetization models such as: Experience Selling model; model of additional services (Add-on Model); Aikido Model; Flat Rate Model, and Razor & Blade Model.
The article is aimed at researching the determinants of success and divergent aspects of the development of startup companies in the modern global business environment in order to substantiate effective technologies for their development. Thus, the global vector of economic, technological, socio-cultural development determines the emergence of progressive economic concepts, which are currently represented by the following formulations: digital economy, gig economy, knowledge economy, service economy, innovative and creative economy, sharing economy, etc. The authors analyzed two significant criteria that are most common in determining a startup company: innovative product and rapid growth rate. A comparative analysis of both startup-based and traditional business was carried out, which allowed to outline key divergent aspects of these concepts, namely: local and global ambitions; scalability of business; product innovativeness; information and digital technologies; trajectory of successful development; commercial interests; organizational structure; business model transformation; business ecosystems, etc. The authors analyzed key determinants of success and failures of startup projects based on the following criteria: idea, business model, launch time, team, marketing strategy, investment, system of mission, goals, and values. Prospects for further research in the context of the development of startup companies in the modern business environment are the systematization of successful cases and the development of certain mechanisms for improving the efficiency of activities of startup companies.
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