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Digital Transformation and Intelligent Decision-Making: Enhancing Efficiency in Platform Company through TOE Framework

In: Proceedings of the 2025 International Conference on Financial Innovation and Marketing Management (FIMM 2025)

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  • Binru Yang

    (Southwestern University of Finance and Economics, School of Business Administration)

Abstract

In the digital economy era, emerging technologies and business models provide opportunities for enterprises to achieve intelligent and scientific decision-making. Intelligent decision-making is not only a trend but also critical for enterprises to adapt to complex business environments and enhance competitiveness. However, many enterprises face challenges in implementing intelligent decision-making. This study explores these challenges and proposes strategies using a theoretical model and empirical analysis. Focusing on government platform company (ShuDao Group), the research finds that digital transformation can improve decision-making efficiency by helping managers better understand market dynamics, assess risks, and track execution. Using the TOE framework, this study analyzes how technological, organizational, and environmental factors influence intelligent decision-making. Results show that artificial intelligence’s advantages significantly enhance decision-making efficiency, while management support and external pressures also play key roles. However, challenges like technological complexity and security risks persist. This study enriches the application of technology theories in decision-making and offers practical guidance for enterprises undergoing digital transformation.

Suggested Citation

  • Binru Yang, 2025. "Digital Transformation and Intelligent Decision-Making: Enhancing Efficiency in Platform Company through TOE Framework," Advances in Economics, Business and Management Research, in: Maizaitulaidawati Md Husin (ed.), Proceedings of the 2025 International Conference on Financial Innovation and Marketing Management (FIMM 2025), pages 736-749, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-874-5_85
    DOI: 10.2991/978-94-6463-874-5_85
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