Economic and management approach to defining effective projects for enterprise development under risks and uncertainty

Boiarynova, Кateryna; Kopishynska, Kateryna; Hryhorska, Nataliya

doi:10.21511/ppm.17(4).2019.25

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…With the rapid development of the Internet, enterprise economic management is gradually shifting towards data-driven and intelligent directions [8][9]. Data mining, as an effective data analysis technology, is widely applied in the field of enterprise economic management to improve decision-making efficiency, reduce risks, and enhance enterprise competitiveness [10][11].…”

Section: Enterprise Economic Management Based On Data Miningmentioning

confidence: 99%

Optimization Strategies for Enterprise Economic Management under the Background of the Internet

2023

FSST

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With the continuous development of internet technology and applications, traditional enterprise economic management models have faced many challenges. How to use Internet means and thinking to carry out innovation management and improve enterprise efficiency and competitiveness has become an urgent problem for enterprises. This article aims to explore various innovative economic management strategies and tools for enterprises, in order to provide scientific and feasible optimization solutions for enterprises. This article proposes optimization strategies for the Internet era. Firstly, improving information collection and analysis capabilities, strengthening performance management and evaluation, and introducing a sharing economy model and new technological means are important means to optimize enterprise economic management. These strategies can help enterprises better obtain and process information, improve management efficiency and employee motivation, improve resource utilization and service quality, and enhance economic benefits of the enterprise. At the same time, specific operating methods and application scenarios were analyzed, and actual case studies were conducted.

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Section: Enterprise Economic Management Based On Data Miningmentioning

confidence: 99%

Optimization Strategies for Enterprise Economic Management under the Background of the Internet

2023

FSST

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“…At the same time, the formation of such a trajectory should take into account the external influences on the enterprise, the level of development of innovation potential, targets and orientation of the enterprise, which is set out in detail by the author in the works (Gavrysh, Dunska, Zhygalkevich, Kravchenko, 2019). In addition, the regulation of the trajectory in accordance with the targets of development should be based on the use of the results of systematic economic and managerial diagnostics, in the existing conditions, which allows to establish their inconsistency with the target level for management decisions to eliminate negative trends (Boiarynova, Kopishynska, Hryhorska, 2019;Gavrysh, Boiarynova, 2017).…”

Section: Organizational and Managerial Approach To Ensuring Innovative Developmentmentioning

confidence: 99%

Scientific Approach to Determining the Vectors of Innovative Development of Industrial Enterprises

Дунська

Boiarynova

Kravchenko

2021

BJES

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The purpose of the paper is to form a scientific and methodological approach to determining the vectors of innovative development of industrial enterprises as a tool for establishing the trajectory of innovation in terms of development of innovation potential and environmental impact. Correlation analysis of these factors as indicators of external (external environment of the enterprise) and internal (innovative potential) environment based on the nature and direction of influences allows to establish the vector of development, and the construction of a forecast model of economic results confirms its correctness. Methodology. The research used its own methodological developments, correlation analysis, formed the parameters of the external environment, innovation potential, the results of enterprises. The approach was tested at the enterprises of the pulp and paper industry of Ukraine, which proved its effectiveness and efficiency. Results. The ideology of the proposed approach on the combination of organizational and managerial aspects of innovative development with economic indicators is formed and substantiated. The types of target innovation orientation of the enterprise, which is formed into a bipolar matrix, are determined. Based on the corresponding trajectory of the transition between the components of the matrix, three key vectors of development are formed: innovation-adaptive, innovation-balanced, innovation-concentrated. Practical implications. On the example of enterprises of the pulp and paper industry their vectors of development, forecast indicators of profit and sales revenues as an economic effect of following the vector direction and the trajectory of innovation are designed. Value/originality. The developed scientific and methodological approach involves the establishment of the vector of innovative development of the enterprise on the interdependence of innovation potential and the nature of the impact of the external environment, which provides an opportunity to predict the results of its operation.

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“…In order to promote the development of green enterprise management, Liu (2022) proposed optimization suggestions for the financial management system through investigation [2]. Boiarynova et al (2019) monitored the dynamics of enterprise development and reduced the risk of management projects by evaluating the profitability dynamics of the production, management, and financial subsystems of the enterprise [3]. Song (2021) found that the centralized management of funds is a tool for allocating funds within the group and the coordinated management of the group's investment and financing.…”

Section: Introductionmentioning

confidence: 99%

Enterprise Working Capital Management by BP Neural Network under the Background of the Internet

2022

AJBM

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Today, with the rapid development of the Internet, the way of enterprise development has become more and more diversified. The development of the Internet not only brings opportunities for enterprise development but also certain risks. In order to deal with the uncertain risks in the future development of the enterprise, aiming at the operation and capital management problems of the enterprise, this study creates a scientific and effective performance evaluation system that conforms to the law of enterprise development to guide the enterprise's capital management problems in the operation process. This system can enable enterprises to improve economic efficiency and achieve sound development in the context of the Internet economy. This study sorts out the relevant theories of enterprise capital management and performance evaluation and refers to the existing performance evaluation system by analyzing the influencing factors of enterprise operation performance. The key factors of performance evaluation in the process of enterprise operation are extracted and processed by dimensionless normalization of sample data. The Pearson correlation test is used to eliminate data indicators with high correlation, and a model of enterprise operation performance evaluation based on the Back Propagation Neural Network (BPNN) is constructed. Valid panel data of some companies in 2015-2016 are selected. The constructed BPNN model is verified for feasibility. The results show that the constructed BPNN model has wide applicability and can be an effective tool for enterprise operation performance evaluation.

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Economic and management approach to defining effective projects for enterprise development under risks and uncertainty

Cited by 5 publications

References 9 publications

Optimization Strategies for Enterprise Economic Management under the Background of the Internet

Optimization Strategies for Enterprise Economic Management under the Background of the Internet

Scientific Approach to Determining the Vectors of Innovative Development of Industrial Enterprises

Enterprise Working Capital Management by BP Neural Network under the Background of the Internet

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