An Integrative Review of Dynamic Pricing Strategies under Inventory and Market-Oriented Constraints

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Published: 2026-01-02
Keywords:
dynamic pricing, inventory constraints, market-oriented strategy, demand uncertainty, complex adaptive systems

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Wei Zhang
Department of Business Administration, University of Central Oklahoma, Edmond, OK, USA
Nathaniel J. Hartley
Department of Business Administration, University of Central Oklahoma, Edmond, OK, USA
Lei Qiu
School of Management, University of Gloucestershire, Cheltenham, UK

Abstract

Dynamic pricing has been extensively studied as an optimization problem under inventory constraints; however, its effectiveness in real-world markets is increasingly challenged by demand uncertainty, product return mechanisms, and complex consumer behavior. Existing research often treats pricing decisions in isolation, overlooking their embeddedness within broader market-oriented strategies and adaptive market systems. This integrative review synthesizes insights from operations management, marketing strategy, data-driven demand analysis, and cross-disciplinary complex system research to advance a holistic understanding of dynamic pricing under inventory and market-oriented constraints. By reviewing optimization-based pricing models, market-oriented development perspectives, and data-driven approaches to demand intelligence, this study highlights the limitations of static demand assumptions and purely analytical pricing solutions. Drawing conceptual inspiration from mechanism-oriented system regulation in other disciplines, the paper reframes dynamic pricing as an indirect intervention that operates through intermediate structures such as demand perception, consumer expectations, and market feedback. An integrative conceptual framework is proposed to bridge optimization rigor with market realism. The review contributes to pricing research by emphasizing system-level stability, strategic integration, and adaptability, and it offers managerial implications for designing resilient pricing strategies in complex and uncertain market environments.

Article Details

Issue

Vol. 1 No. 2 (2025): 2025 International Conference on Computer Science, Artificial Intelligence and Communication Systems(CSACS 2025)

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Articles

How to Cite

An Integrative Review of Dynamic Pricing Strategies under Inventory and Market-Oriented Constraints. (2026). Journal of Science, Innovation & Social Impact, 1(2), 53-62. https://sagespress.com/index.php/JSISI/article/view/53

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