ІНФОРМАЦІЙНЕ ЗАБЕЗПЕЧЕННЯ ЦІННІСНО-ЗОРІЄНТОВАНОГО УПРАВЛІННЯ НАФТОГАЗОВИДОБУВНИМИ ПІДПРИЄМСТВАМИ

• Datum: 2024
• Hauptverfasser: CHUDYK, I., DMYTRUK, V., HUMENIUK, V., POLIANSKA, A., ZAPUCHLIAK, I.
• Format: Artikel
• Sprache: English
• Veröffentlicht: PH “Akademperiodyka” 2024
• Schlagworte: інформаційне забезпечення; ціннісно зорієнтоване управління; нафтогазовидобувні підприємства; прогнозування; моделювання
• Online Zugang: https://scinn-eng.org.ua/ojs/index.php/ni/article/view/635
• Назва журналу: Science and Innovation

Introduction. In the context of the current energy transition challenges, the management system of oil and gas enterprises requires eff ective information support. Predictive modeling is a key tool for developing value-based strategies aimed at the effective development of oil and gas enterprises in the new energy realities.Problem Statement. Insufficient information support limits the potential for effective value-based management of oil and gas companies. The use of predictive modeling helps to predict changes in production output to improve strategic planning and to make decisions with proper awareness.Purpose. To find out the possibilities of using predictive modeling as a tool to provide an information base for value-based management of oil and gas enterprises.Materials and Methods. The study has been based on materials of the State Statistics Service of Ukraine. The methods include analysis, synthesis, analogy, modeling, abstraction, and specifi cation. The software products Statistics 12 and STELLA have been employed for data processing.Results. It has been established that the use of predictive modeling tools makes it possible to improve information support of value-based management at oil and gas enterprises. The regression analysis has shown that the number of employees, the number of operating business entities, and the personnel costs have the greatest influence on the growth of sales of oil and gas enterprises.Conclusions. Thus, the study has shown the importance of predictive modeling to improve the efficiency of value-based management of oil and gas enterprises, to formulate effective strategies for their development in the context of the energy transition, to provide information support, and to increase their ability to adapt and innovate in a dynamic external environment.