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Related Experiment Video

Updated: Sep 17, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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Enterprise fission path optimization and dynamic capability construction based on the soft actor-critic algorithm.

Hengsheng Gu1

  • 1School of Economics & Management, Tongji University, Shanghai, 200092, China. guhengsheng@outlook.com.

Scientific Reports
|July 2, 2025
PubMed
Summary
This summary is machine-generated.

This study optimizes enterprise fission strategies using the Soft Actor-Critic (SAC) algorithm, enhancing operational efficiency and dynamic capabilities. The approach significantly boosts resource allocation and market responsiveness, leading to sustained competitive advantages.

Keywords:
Deep reinforcement learningDynamic capability constructionEnterprise fissionMarket response speedResource allocation efficiency

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Area of Science:

  • Business Strategy
  • Artificial Intelligence
  • Operations Research

Background:

  • Enterprise fission is a complex strategic decision with significant impacts on operational efficiency.
  • Optimizing fission paths requires balancing short-term financial goals with long-term dynamic capabilities.
  • Existing methods may not fully capture the dynamic and complex decision environment of enterprise fission.

Purpose of the Study:

  • To develop and evaluate an enterprise fission path optimization strategy using the Soft Actor-Critic (SAC) algorithm.
  • To analyze the impact of this strategy on parent company performance and overall operational efficiency.
  • To enhance dynamic capabilities such as innovation, market agility, and resource integration.

Main Methods:

  • Utilized enterprise finance and marketing data from the National Bureau of Statistics public dataset.
  • Designed a multi-level reward function incorporating short-term and long-term enterprise indices.
  • Implemented the Soft Actor-Critic (SAC) algorithm within a simulated enterprise fission decision environment.

Main Results:

  • Optimized fission paths improved resource allocation efficiency by 20.4% and market response speed by 25.2%.
  • Dynamic capabilities significantly enhanced: innovation by 15.4%, market agility by 12.3%, and resource integration by 10.5%.
  • The strategy demonstrated effectiveness in accelerating industrial cluster formation.

Conclusions:

  • The SAC algorithm-based enterprise fission path optimization strategy offers a robust approach to improving business performance.
  • This strategy enhances dynamic capabilities, leading to lasting competitive advantages.
  • The findings suggest practical applications for businesses undergoing fission to optimize strategic decision-making.