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Unlocking the future: integrating data- driven business models for business sustainability

Author

Listed:
  • Nomkhosi Radebe

    (University of Witwatersrand)

  • Nelson Chipangamate

    (University of Witwatersrand)

Abstract

This paper examines the expanded function of business models in promoting organisational sustainability, emphasising their significant influence on strategic management and enduring environmental and economic viability. This study employs a comprehensive literature analysis to analyse data-driven business models and their congruence with Sustainable Development Goals (SDGs), emphasising the significance of technology, innovation, and sustainability in contemporary business practices. The results demonstrate that sustainable business models promote economic growth, responsible consumption, and industry innovation while also making substantial contributions to environmental stewardship. The study specifically examines the Sustainable Development Goals of Decent Work and Economic Growth (Goal 8), Industry, Innovation, and Infrastructure (Goal 9), Responsible Consumption and Production (Goal 12), and Partnerships for the Goals (Goal 17). The study indicates that incorporating sustainability into business model innovation is essential for strategic success in the contemporary corporate environment. Sustainable business models are essential for organisations seeking to excel in environmental and social governance while ensuring economic success. This strategic integration revolutionises conventional business methods, guaranteeing that organisations not only endure but flourish by adjusting to global challenges and shifts in the economic environment. Key Words:Business models, Data-driven business models, Data-platform business models, Business sustainability, sustainable innovation

Suggested Citation

  • Nomkhosi Radebe & Nelson Chipangamate, 2025. "Unlocking the future: integrating data- driven business models for business sustainability," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International Academy, vol. 7(3), pages 255-263, June.
    • Handle: RePEc:adi:ijbess:v:7:y:2025:i:3:p:255-263
    DOI: 10.36096/ijbes.v7i3.789
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    File URL: https://www.bussecon.com/ojs/index.php/ijbes/article/view/789/488
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    References listed on IDEAS

    as
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    2. repec:plo:pone00:0138237 is not listed on IDEAS
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    7. Juan D. Borrero & Jesús Mariscal, 2022. "A Case Study of a Digital Data Platform for the Agricultural Sector: A Valuable Decision Support System for Small Farmers," Agriculture, MDPI, vol. 12(6), pages 1-15, May.
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