Development Management

Journal Information
ISSN / EISSN : 24139610 / 26632365
Current Publisher: LLC CPC Business Perspectives (10.21511)
Total articles ≅ 36
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Latest articles in this journal

Muhamad Dzikron, Ina Primiana, Umi Kaltum, Dermawan Wibisono
Development Management, Volume 18, pp 1-8; doi:10.21511/dm.18(2).2020.01

Abstract:
The Indonesian leather industry has low competitiveness among ASEAN Countries. The government, entrepreneurs, and researchers are trying to find solutions to improve competitiveness. However, there are differences in understanding the dimensions of competitiveness. This research aims to con¬struct and validate the competitiveness model in the manufacturing industry. In general, the concept of competitiveness is more oriented to the final result than to the process dimension. To improve competitiveness, this study using a manufacturing strategy approach based on process capability. The design of the competitiveness model contains the relationship between exogenous and endogenous variables with formative patterns. Exogenous variables are dimensions that makeup competitiveness, consisting of resources, operational processes, and performance. The data were obtained from 42 leather tanning factories in Indonesia, which was analyzed using Partial Least Square. This study reveals that industrial competitiveness is influenced by the dimensions of resources, operational pro¬cesses, and performance, where the dimensions of operational processes have a greater influence. This research confirms that the government and entrepreneurs must prioritize process capabilities to improve their competitiveness.
Inna Gruzina, Maryna Poliukhovych
Development Management, Volume 18, pp 53-60; doi:10.21511/dm.18(1).2020.05

Abstract:
The information on the main stages of key performance indicators selection and formation for the process of estimating the competitive development strategy effectiveness of consulting companies is analyzed, the types of indicators, their differences are examined, the existing views and recommendations of researchers and experts on the expediency of using certain indicators directly by consulting companies are generalized. Various areas of consulting are described and it is suggested to take into account the specifics of the consulting business when selecting relevant performance indicators of their competitive strategies. Comprehensive and relentless globalization has made the protection of company’s intellectual capital one of the key factors in the success of enterprise development. As the main asset of any consulting company are people and their intellectual potential, competition in this area has become quite strong and fierce. Since the main asset of the consulting company is people and their intellectual potential, the competition in this field is very strong and fierce. Thus, the predominance of intellectual work requires specific accounting for the assets of consulting companies and an assessment of the efficiency of use of these assets in accordance with the developed strategy. Given the fact that, by their content, performance indicators should assist managers and business owners in making decisions about evaluating the effectiveness of their chosen process or the performance of a particular system in the enterprise, evaluating the effectiveness of business development as a whole, the possibility of using a certain range of indicators to evaluate consulting company’s strategies effectiveness was considered. In particular, the results of the analysis of the main goals and objectives set in the development of a competitive consulting company’s development strategy suggested the use of groups of indicators (both financial and non-financial) to evaluate the effectiveness of the enterprise competitive strategy, enterprise development strategy or directly to evaluate the competitive development strategy of consulting companies. In addition, the emphasis is placed on determining the optimal number of indicators of the consulting company’s development strategy and analysis of data of different size and geography of business of consulting companies.
Simbarashe Kativhu, Marizvikuru Mwale, Joseph Francis
Development Management, Volume 18, pp 40-52; doi:10.21511/dm.18(1).2020.04

Abstract:
High failure rates among youth-owned small retail businesses has prompted the need for strengthening sustainability in the sector. The current paper sought to establish a framework for use in determining youth-owned small retail business sustainability. An exploratory mixed study approach was followed (qualitative and quantitative methods). Snowball and cluster sampling procedures were utilized to select respondents. Data were collected using semi-structured interview guides and close ended questionnaires. Qualitative data was analyzed using the Atlas.ti version 7 software network techniques, while the IBM SPSS version 25 techniques were utilized to generate quantitative results. Principal component analysis outcomes reflected that the framework for measuring youth-owned small retail business sustainability comprises 6 major components. The components included security measures (18.01%), outsourcing abilities (13.70%), marketing strategies (10.07%), risk management (8.54%), financial management (8.43%) and innovation (7.89%). The six pillars of the criteria were utilized to further develop time specific indices that were expressed in the following formula: R1 = ƒ (SM1, OA1, MS1, RM1, FM1, I1, S1) + e. Based on this formula, the sustainability of youth-owned small retail businesses can be assessed based on the six pillars on the right side of the equation and other subjective attributes at a particular time. The current study provided a framework that can be used by managers and practitioners to determine key sustainability building blocks of youth-owned small retail business at a particular time and track how they change over time.
Juraj Pekár, Ivan Brezina, Jaroslav Kultan, Iryna Ushakova, Oleksandr Dorokhov
Development Management, Volume 18, pp 25-39; doi:10.21511/dm.18(1).2020.03

Abstract:
The task of the traveling salesman, which is to find the shortest or least costly circular route, is one of the most common optimization problems that need to be solved in various fields of practice. The article analyzes and demonstrates various methods for solving this problem using a specific example: heuristic (the nearest neighbor method, the most profitable neighbor method), metaheuristic (evolutionary algorithm), methods of mathematical programming. In addition to classic exact methods (which are difficult to use for large-scale tasks based on existing software) and heuristic methods, the article suggests using the innovative features of the commercially available MS Excel software using a meta-heuristic base. To find the optimal solution using exact methods, the Excel (Solver) software package was used, as well as the specialized GAMS software package. Comparison of different approaches to solving the traveling salesman problem using a practical example showed that the use of traditional heuristic approaches (the nearest neighbor method or the most profitable neighbor method) is not difficult from a computational point of view, but does not provide solutions that would be acceptable in modern conditions. The use of MS Excel for solving the problem using the methods of mathematical programming and metaheuristics enabled us to obtain an optimal solution, which led to the conclusion that modern tools are an appropriate addition to solving the traveling salesman problem while maintaining the quality of the solution.
Ivanna Pererva
Development Management, Volume 18, pp 1-10; doi:10.21511/dm.18(1).2020.01

Abstract:
The article systematizes and analyzes the list of resources for IT companies. A causality diagram between model variables by the software product complexity was built on the basis of dependencies between the time and the number of specialists involved in the development of software products, as well as company performance indicators. The nature of causal relationships between the model variables in terms of the software product labor intensity is presented. Using the VenSim simulation system, a simulation model for determining optimal labor standards for IT companies was built. The results of evaluating the adequacy of the model for determining optimal labor standards are presented. The optimal labor standards by labor intensity levels are determined, at which the efficiency of using the technical, technological, information, labor, and financial resources of the company increases and the profitability of activities for IT companies is maximized. A methodological approach has been presented, which outlines the cost standards of innovative labor of IT companies’ specialists. The developed approach is aimed at determining the time and number of an IT company specialists who, due to the impact on the efficiency of using information, technical, labor and financial resources, provide the necessary level of profitability of the IT companies’ activities. The advantages of the developed methodological approach to rationing labor costs in IT companies are presented.
Vladyslav Khvostenko, Marziye Memmedli, Stanislav Milevskyi
Development Management, Volume 17, pp 55-63; doi:10.21511/dm.17(4).2019.05

Abstract:
Since gained its independence in 1991, energy management has become the most important factor in the development of Kazakhstan’s economic and foreign policy. This is due to the presence of widespread deposits of natural energy resources in the bowels of Kazakhstan. This forms the energy security and essential basis for the economic independence of the Republic of Kazakhstan. The study, first of all, looks at Kazakhstan’s foreign policy and the links between foreign policy and energy sources. In particular, attention is paid to the role of oil in shaping Kazakhstan’s foreign policy as an active participant in the highly competitive energy resources market. The energy potential of Kazakhstan, the entry of Kazakh oil into the world market and the obstacles created by Russia for Kazakhstan in this process are investigated next. Other problems in the region are analyzed, including border issues with neighboring countries, as well as the impact of energy demand in China on Kazakhstan’s foreign policy. In this regard, the main focus of the study is the analysis of Kazakhstan’s energy resources rich in oil reserves, and the analysis of the multilateral energy policy of the Astana Government since independence and has been gained since.
Lidiya Guryanova, N. L. Chernova
Development Management, Volume 17, pp 42-54; doi:10.21511/dm.17(4).2019.04

Abstract:
The article deals with the application of optimal portfolio theory and pair trading theory on the metals futures market. Advantages of the futures market over the spot market include relatively small initial price, low transaction costs, and high volatility. The main aim of the study is to explore the potential of both strategies for effective trading. The following financial instruments were chosen as the inputs of the models: futures on industrial metals (aluminum, copper, nickel, zinc, lead, tin), futures on precious metals (gold and silver). When building the optimal portfolio, it was decided to include Dow Jones Index futures and S&P Index futures among metals. This is because these instruments are extremely volatile and may play the role of a hedge in the portfolio. A drawdown indicator was used to assess the effectiveness of each strategy. The results show that both strategies can be applied on the real-life market. The final choice will depend on the level of risk taking by investors and the desired value of return.
А. В. Мордовець
Development Management, Volume 17, pp 31-41; doi:10.21511/dm.17(4).2019.03

Abstract:
Trends in the development of Ukrainian mining companies have shown that it is important to increase their financial potential. This necessitates an assessment of the financial capacity of business entities to determine the directions, methods for attracting additional and optimizing existing financial resources. The aim of this research is to determine a methodological approach to determining the level of financial potential of economic entities through the use of mathematical and statistical methods to identify the current financial status of economic entities and financial reserves of development. General scientific and special research methods, analysis and synthesis, graphical analysis, taxonomic analysis, cluster analysis, as well as abstract and logical methods were used to achieve the goal. Theoretical approaches to defining the essence of the concepts of “potential”, “financial potential of economic entities” were systematized to specify the boundaries of each of the concepts, its components. Definition of the essence of the “financial potential of economic entities” concept was proposed. A set of financial indicators to assess the level of financial potential through a priori ranking based on the analysis of literature sources was developed. The selected financial indicators were grouped according to the financial potential components; the integral indicators for each group were calculated. Business entities in the mining industry in Ukraine were grouped into clusters according to calculated taxonomic indicators. Besides, the level of financial potential for each cluster was determined. The methodological approach to the diagnosis of the level of financial potential of economic entities was developed using mathematical and statistical methods. This made it possible to identify trends in the development of financial potential, which allows forming measures to increase it.
Ivan Burtnyak, Anna Malytska
Development Management, Volume 17, pp 19-30; doi:10.21511/dm.17(4).2019.02

Abstract:
Methods of calculating the approximate price of options using instruments of spectral analysis, singular and regular wave theory in the context of influence of fast and slow acting factors are developed. By combining methods from the spectral theory of singular and regular disturbances, one can approximate the price of derivative financial instruments as a schedule of its own functions. The article uses the theory of spectral analysis and the singular and regular theory of perturbations, which are applied to the short-term interest rates described by the Vasicek model with multidimensional stochastic volatility. The approximate price of derivatives and their profitability are calculated. Applying the Sturm-Liouville theory, the Fredholm alternative, and the analysis of singular and regular disturbances in different time scales, explicit formulas were obtained for the approximation of bond prices and yields based on the development of their own functions and eigenvalues of self-adjoint operators using boundary value problems for singular and regular perturbations. The theorem for estimating the accuracy of derivatives price approximation is established. Such a technique, in contrast to existing ones, makes it possible to study the stock market dynamics and to monitor the financial flows in the market. This greatly facilitates the statistical evaluation of their parameters in the process of monitoring the derivatives pricing and the study of volatility behavior for the profitability analysis and taking strategic management decisions on the stock market transactions.
Stanislav Levytskyi, Oleksandr Gneushev, Vasyl Makhlinets
Development Management, Volume 17, pp 1-18; doi:10.21511/dm.17(4).2019.01

Abstract:
The problem of determining the value of statistical life in Ukraine in order to find ways to improve it is an urgent one now. The current level of value is analyzed, which is a direct consequence of the poor quality of life of a citizen, hence his low level. The description of the basic theoretical and methodological approaches to the estimation of the cost of human life is given. Based on the analysis, a number of hypotheses have been advanced about the use of statistical calculations to achieve the modeling objectives. Model calculations are based on the example of Zaporozhye Oblast statistics for 2018–2019. The article elaborates the approach to the estimation of the economic equivalent of the cost of living on the basis of demographic indicators and average per capita income, and also analyzes the possibilities of their application in the realities of the national economy. Using Statistica, the regression equation parameters were determined for statistical data of population distribution of Zaporizhzhia region by age groups for 2018. The calculation parameters were also found using the Excel office application, using the Solution Finder option to justify the quantitative range of metric values. It is proved that the proposed approach to modeling and calculations are simpler and more efficient than the calculation methods proposed earlier. The study concluded that the value of statistical life in Ukraine is significantly undervalued.
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