What does this research mean for the field?

A newly developed algorithm for flexible and adaptive marketing planning enables oil companies to quickly respond to economic, technological, market, and political changes under conditions of uncertainty. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To examine external environmental pressures affecting industrial enterprises and develop an adaptive marketing planning algorithm suited for conditions of high uncertainty.

August 29, 2026Moscow Economic Journal

Algorithm for Flexible Strategic Marketing Planning in Oil Companies Under Conditions of Uncertainty

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Authors

ESElena Savinova

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Overview

Methodological analysis reveals an adaptive marketing planning algorithm for oil companies, highlighting rapid operational responsiveness during economic and geopolitical uncertainty.

Key Points

To examine external environmental pressures affecting industrial enterprises and develop an adaptive marketing planning algorithm suited for conditions of high uncertainty.
Assessed dynamic external drivers including economic, technological, political, and competitive shifts impacting Russian industrial companies.
Constructed a structured algorithmic framework designed to integrate real-time market feedback into operational and strategic marketing workflows.
Demonstrated that multi-factor external volatility requires industrial enterprises to move away from rigid, static planning models.
Established an adaptive marketing algorithm that facilitates rapid strategic realignments in response to ongoing market fluctuations.

Cite This Study

Elena Savinova (2026) studied this question.

synapsesocial.com/papers/6a92994d8e5d7d1fc0c112da https://doi.org/10.55186/2413046x_2026_11_8_110

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August 29, 2026Moscow Economic Journal

Algorithm for Flexible Strategic Marketing Planning in Oil Companies Under Conditions of Uncertainty

View Full Paper

Ask AI

Bookmark

Authors

ESElena Savinova

Discussion

Member takes

Overview

Methodological analysis reveals an adaptive marketing planning algorithm for oil companies, highlighting rapid operational responsiveness during economic and geopolitical uncertainty.

Key Points

To examine external environmental pressures affecting industrial enterprises and develop an adaptive marketing planning algorithm suited for conditions of high uncertainty.
Assessed dynamic external drivers including economic, technological, political, and competitive shifts impacting Russian industrial companies.
Constructed a structured algorithmic framework designed to integrate real-time market feedback into operational and strategic marketing workflows.
Demonstrated that multi-factor external volatility requires industrial enterprises to move away from rigid, static planning models.
Established an adaptive marketing algorithm that facilitates rapid strategic realignments in response to ongoing market fluctuations.

Cite This Study

Elena Savinova (2026) studied this question.

synapsesocial.com/papers/6a92994d8e5d7d1fc0c112da https://doi.org/10.55186/2413046x_2026_11_8_110

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