2022. No. 3 Vol 16

      A three-dimensional case is considered on the basis of a method developed for estimating the parameters of the aggregated production function used to calculate dynamic standards and build integral indicators of the performances of the functioning of socio-economic systems. The aggregated production function is determined by the quadratic convolution of the production functions of the results of the functioning of the elements of the subsystem and their correlation matrix. The parameters of the aggregated production function are determined from solving the problem of maximizing the likelihood function of a random variable – the residuals of production functions aggregated according to a similar rule. On the example of a project subsystem within the framework of the Kleiner’s spatial-temporal classification of socio-economic systems we obtained adjusted values of the parameters of a function that includes power-law multiplicative models of the relationship between the volume of gross domestic product by region for sections F (construction), G (wholesale and retail trade), K (financial activity) according to NACE 2 and the cost of fixed assets (total for section K, for sections F and G), the average annual number of employees (for sections F and G) and the average annual population (for section K), based on data for 2015–2020 (sections G, K) and 2018–2020 (section F) for the regions of the Central Federal District. The EFRA software package and Python’s project were used as tools. The results obtained can be used by regional authorities in assessing the functioning of the regions and the formation of appropriate standards in the short term.

      The task of assessing the market cost of an art object (AO) is relevant for artists, art dealers, collectors and museum workers, among others. Experts and appraisers who need appropriate automation tools are involved in its solution. The task is complicated by the inconsistency of the conceptual apparatus of the specialists’ various fields of knowledge, the specifics of AO and the art market. Known methods for solving it, especially automated methods, are not numerous and not universal. The purpose of this study was to develop a method for automated valuation of the market value of AO, which defines it as the sum of two components: the prime cost of the AO and added cost – the cost of the asset “value of the AO.” To calculate the first component, a cost–based approach and an additive model were used; the second was a comparative approach and an interpolation model. The added value of modern AO is represented by a function of the parameters of each of the four price-forming factors of AO: “the value of the artist,” “the artistic value of AO,” “the cultural value of AO,” “the quality of the state of AO.” It is proposed to implement models in the form of a software package integrated into the information systems of modern art institutions, having coordinated the data formats used.

      Amidst a high and increasing level of ambiguity, the quality of strategic management when ensuring the achievement by an enterprise of a sustainable development trajectory becomes particularly important. The issues of formation and efficient implementation of the strategic management mechanism bring into focus the task of finding tools for assessing the quality of strategic management. Meanwhile, the agenda of developing the tools to assess the quality of strategic management of an enterprise from the standpoint of achieving a sustainable development trajectory under ambiguity remains poorly understood. In this regard, the purpose of this study is to improve the quality of strategic management of industrial enterprises operating under uncertainty by developing and testing on the example of individual enterprises of the Donetsk region a toolkit for assessing the quality of strategic management in the context of an enterprise achieving a sustainable development trajectory. To reach this goal, this study uses a synthesis of systemic, cybernetic and synergetic approaches. For this purpose, within the framework of the study, a conceptualization of the main notions was carried out and theoretical and methodological approaches to the interpretation of the notions of “strategic management,” “sustainable development” and “strategic uncertainty” were proposed. Based on the author’s approaches to the interpretation of the main notions, it was suggested to assess the quality of strategic management in terms of the goal of such management, which is to achieve a sustainable development trajectory. Using the author’s approach, an assessment was made of the quality of strategic management of industrial enterprises in the Donetsk region in the context of their achievement of sustainable development. Approbation of the proposed tools led to the conclusion that the integral assessment indicator for all analyzed enterprises did not have an unambiguous and unidirectional downward trend. The foregoing indicates the absence of a stable trend towards the attractor for the analyzed period for all the enterprises in question, which makes highly topical the search for reserves to increase the efficiency of strategic management of industrial enterprises in the Donetsk region, which constitute the prospect for further research.

      This article is devoted to the development of a high-level simulation model of tourism industry dynamics. The purpose of this study is to form recommendations for the recovery of the tourism industry from the effects of the pandemic. The resulting model considers domestic tourism from the point of view of the interdependence of the economic condition of the state, the contribution of the tourism industry to gross domestic product, the size of the tourist flow and the average income per tourist. In addition to describing the functional dependencies of the model elements, several experiments are proposed to test the logic of the elements’ relationships. System dynamics tools are used to develop the model. The study also examines the class of computable general equilibrium models as a tool for analyzing supply and demand in the market of tourist products.

      Game-oriented business development is growing quickly and this encourages the digital economy in Indonesia. This research aims to examine the role of perceived value on the purchase behavior of online game attributes in Indonesia based on gender groups. Samples were taken from several online gaming communities in Indonesia. The variables in this study consist of perceived value variables, namely emotional, quality, social and economic value, which are antecedents for the online game attribute purchase intention and purchase behavior variables. Data were analyzed using Structural Equation Modeling. The research results show an influence on purchase intentions of perceived value which consists of emotional, quality, social and economic value and ultimately shapes the buying behavior of online game product attributes. There is a difference in each component of perceived value on purchase intention between male and female groups. Emotional and quality values do not affect the female group’s pursuit intent, while social values do not significantly affect the male group.

      In this paper, a method of identifying conflict relations between the subjects of business processes is presented. The proposed solution seems quite important due to the high sensitivity of modern high-tech enterprises’ business processes to negative factors, as well as the need to develop correct management decisions in conflict situations. A company’s ability to identify internal conflicts and to take them into account during management decision-making is a feature of an effective business process. Modern methods of conflict detection that are available for practical use are able to identify conflict situations only at the stage of open conflict. In this case, the impact of the conflict on the business process is already material and may lead to deterioration in the company’s performance. Unfortunately, existing methods have a significant disadvantage: they are not able to identify conflicts at an early stage, when the impact of the situation on the business process is not noticeable. An innovative approach based on analytical processing of survey-based data is proposed. This approach is able to identify hidden conflicts among employees of the enterprise. Identifying a conflict situation at an early stage makes it possible to manage conflict and reduce subsequent financial loss.