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Optimizing Working Capital in E-Commerce Supply Chains: A Data-Driven Financial Approach

Author

Listed:
  • Wenzhen Mai

    (Guangzhou Huali College, China)

  • Mohamud Saeed Ambashe

    (Emirates Aviation University, UAE)

  • Chukwuka Christian Ohueri

    (Universiti Sains Malaysia, Malaysia)

Abstract

This research aims to develop a comprehensive, data-driven financial model for optimizing working capital to enhance operational efficiency and competitiveness in the supply chains of e-commerce companies. Questionnaire data from 280 stakeholders operating within the e-commerce supply chains across the globe were analyzed using structural equation modeling (SEM) analysis to explore the complex interrelations between the variables that optimize working capital in e-commerce supply chains. The findings from SEM analysis reveal that technology integration, such as sensors and AI-driven inventory management systems; market responsiveness through adaptive pricing strategies; and supplier relationship management via ethical and transparent transactions, have a direct positive influence on working capital efficiency in e-commerce supply chains. Furthermore, collaborative planning, via the use of emerging technologies and efficient practices, emerged as the key mediator, amplifying the positive influence of technology integration and supplier relationship management.

Suggested Citation

  • Wenzhen Mai & Mohamud Saeed Ambashe & Chukwuka Christian Ohueri, 2025. "Optimizing Working Capital in E-Commerce Supply Chains: A Data-Driven Financial Approach," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 18(1), pages 1-30, January.
    • Handle: RePEc:igg:jisscm:v:18:y:2025:i:1:p:1-30
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    References listed on IDEAS

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