The Impact of the Business Environment on the Effectiveness of the Implementation of the Financial Strategy of the Oil and Gas Company

Borodin, Alex; Natocheeva, Natalia; Khominich, Irina P.; Куликов, А. Ю.; Shchegolevatykh, Natalia

doi:10.32479/ijeep.11374

Cited by 5 publications

(3 citation statements)

References 20 publications

(25 reference statements)

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“…It should be noted that Gazprom is a stable leader in the oil and gas industry in Russia followed by Surgutneftegaz taking into account the strong growth of its funds and balance sheet assets [33,34].…”

Section: Resultsmentioning

confidence: 99%

Assessment and Integral Indexing of the Main Indicators of Oil and Gas Companies by Circular Convolution

et al. 2022

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In the oil and gas industry, which is the basis of the Russian energy market, a significant and urgent question arises: How to distribute companies according to their investment attractiveness? Accordingly, quantitative indicators are needed. Lacking extensive experience in the practical implementation of fundamental rating tools, work is needed to develop methodologies of weighting coefficients and lists, built on the experience of the “big three” rating agencies. The article proposes an algorithm for forming an integral rating of companies based on financial reporting indicators and the author’s rules of fuzzy logic based on the principle of “circular convolution”, from the best to the slave, deepening the analysis to the center, when all companies are exhausted and places in the rating are distributed. The problem of assessing and integrally indexing the indicators of large companies in leading sectors of the economy (e.g., oil and gas, banks, electricity) is becoming manifest, while it is obvious that there is competition between large companies of the country’s leading industries for state investment resources. The nature of the leading industries is such that it is necessary to assess the quality of the company’s functioning based on the formation of rating groups. Based on the rating, investments are distributed among the companies under consideration. The author has developed a portfolio model that is analogous to the Harry Max Markowitz model, which does not contradict this model but allows consideration of a broader range of risk assessments used in the model (for example, the rating of companies). The optimal portfolio is built, taking into account the resulting index and the initial grouping in the hierarchical data correction mode. The logically sequential method of circular convolution of four important indicators to an integral index and a mathematically substantiated method for optimizing the minimax portfolio presented in the work will allow the investor to develop optimal (from the point of view of the transparency of the apparatus used, mathematical feasibility and time spent on the implementation of the software package) tools for investing and enlarging his capital.

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Section: Resultsmentioning

confidence: 99%

Assessment and Integral Indexing of the Main Indicators of Oil and Gas Companies by Circular Convolution

et al. 2022

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“…External Business environmental factors, such as government and legal, economic, demographic, socio-cultural, geo-physical, and other factors, are often seen as unmanageable by a corporation (Cherunilam, 2016). Moreover, the external environment refers to a specific condition of the business environment as well as a set of elements that influence circumstances and business options (Borodin et al, 2021).…”

Section: External Business Environmentmentioning

confidence: 99%

Factors that Influence AI Investment Decisions in Oman's Hydrocarbons Industry: A Review of the Theoretical Literature and Proposed Theoretical Mode

2024

qas

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Artificial Intelligence technologies have exceptional capabilities that enhance the production efficiency of oil and gas companies by saving time and energy in terms of the technologies used and the workers involved, provided that the technology used is cost-effective for the field of concern. AI gradually penetrates various stages of the oil and gas sectors, such as intelligent drilling, intelligent development, intelligent pipelines, and intelligent refineries. This paper presents a comprehensive model for studying the elements that drive AI investment decisions in Oman's hydrocarbons industry. This study combined theories of the technology acceptance model (TAM), innovation diffusion theory (IDT), business environment factors, and risk management with AI investment decisions. This study aims to discover the key factors that influence AI investment decisions by studying numerous elements that impact AI investment decisions in the sector. These drivers include AI's innovation attributes, the external and internal business environment, risk management, and the moderating of perceived usefulness and perceived ease of use. Gaining insight into these elements enables players in Oman's hydrocarbons sector to make informed decisions about AI investment decisions. This, in turn, can lead to increased operational efficiency, cost savings, and better decisionmaking processes.

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“…Cabe mencionar que la mayoría de esos negocios no superan los tres años principalmente por la falta de innovación, la baja rentabilidad y diversas dificultades en el acceso a créditos. Del mismo modo, Borodin et al (2021), señala que el 82% de estos negocios son unipersonales lo que implica limitaciones en términos de recursos y capacidad para un crecimiento empresarial.…”

Section: Introductionunclassified

Estrategia empresarial y financiera de los emprendimientos: un acercamiento al cantón La Maná

García Bravo,

Torres Briones,

Reyes Armas

et al. 2024

pacha

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Pese a la creciente importancia de los emprendimientos para la economía local, existe una brecha en el conocimiento sobre la eficacia de sus estrategias. Por ello, el propósito de este estudio es diagnosticar los factores que influyen en la estrategia empresarial y financiera del cantón La Maná. Para esto se optó por utilizar este enfoque, ya que, este método permitirá recolectar datos numéricos específicos sobre las estrategias empresariales y financieras. Por esta razón, al definir la población objetivo se enfocó en 423 emprendimientos con una muestra total de 96 emprendimientos. Durante la preparación de los resultados del estudio, en primer lugar, se generó un perfil sociodemográfico de los participantes. Luego se realizí un análisis factorial exploratorio para determinar cómo se relacionaban las variables entre sí. Este proceso incluyó el uso de la prueba de esfericidad de Bartlett y una matriz de varianza completamente explicada, un diagrama de regla y una matriz de componentes rotados. Estas herramientas ayudaron a identificar y categorizar los factores relevantes considerados en el estudio. Finalmente, se concluyó que, en los emprendimientos de la región, las estrategias operativas, las de recursos humanos y las estrategias financieras conjuntamente desempeña un rol predominante, influenciando en un 63% la formulación y la efectividad de las estrategias empresariales.

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The Impact of the Business Environment on the Effectiveness of the Implementation of the Financial Strategy of the Oil and Gas Company

Cited by 5 publications

References 20 publications

Assessment and Integral Indexing of the Main Indicators of Oil and Gas Companies by Circular Convolution

Assessment and Integral Indexing of the Main Indicators of Oil and Gas Companies by Circular Convolution

Factors that Influence AI Investment Decisions in Oman's Hydrocarbons Industry: A Review of the Theoretical Literature and Proposed Theoretical Mode

Estrategia empresarial y financiera de los emprendimientos: un acercamiento al cantón La Maná

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