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     2026:5/3

International Journal of Management and Organizational Research

ISSN: (Print) | 2583-6641 (Online) | Impact Factor: 8.56 | Open Access

A Risk-Return Optimization Model for Sustainable Growth and Financial Stability in Digital Marketplaces

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Abstract

This paper presents a Risk-Return Optimization Model designed to guide digital marketplaces toward achieving sustainable growth and financial stability. As digital platforms continue to evolve and expand globally, managing the delicate balance between risk and return is crucial to long-term success. The study examines key factors influencing this balance, including technology investments, market expansion strategies, and operational efficiency. Applying the model to an e-commerce platform, the research demonstrates how businesses can strategically manage risk exposure while optimizing returns across different market conditions. The findings underscore the importance of strategic investments in technology, cost management, and customer retention strategies for sustaining profitability. Furthermore, the model highlights the diminishing returns of scalability, suggesting that growth must be balanced with careful risk management to avoid overexposure to market volatility. This research offers actionable recommendations for digital marketplace leaders, regulators, and investors, providing insights into how to implement risk-return optimization strategies in practice. The paper concludes by acknowledging the model’s limitations and proposing avenues for future research to refine and adapt the model in diverse digital ecosystems.

How to Cite This Article

Adebanji Samuel Ogunmokun, Emmanuel Damilare Balogun, Kolade Olusola Ogunsola (2023). A Risk-Return Optimization Model for Sustainable Growth and Financial Stability in Digital Marketplaces . International Journal of Management and Organizational Research (IJMOR), 2(1), 177-184. DOI: https://doi.org/10.54660/IJMOR.2023.2.1.177-184

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