School of Business, Shandong Normal University, Jinan 250358, Shandong, China.
School of Political Science and Law, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, Shandong, China.
Comput Intell Neurosci. 2022 Jun 27;2022:8428641. doi: 10.1155/2022/8428641. eCollection 2022.
This article studies the integration and optimization of green innovation capabilities of enterprises. The integration model of enterprise green innovation capability provides the theoretical basis for cultivating enterprise green innovation capability. However, from the perspective of optimization, in the life cycle of the enterprise, how the enterprise should reasonably allocate resources and carry out strategic guidance to achieve the optimal green innovation capability of the enterprise is a question worth thinking about. This stage of research starts from different cycle stages of enterprise development, explores the adaptability and evolution of the integration model, and studies the optimization methods of strategies to achieve the goal of matching. This article adopts the ant colony optimization algorithm to support the research on the integration of green innovation capabilities of enterprises. The article describes the principle of the ant colony optimization algorithm in detail by using the combination of text description and formula. In addition, it analyzes the effect of the research through experiments. The results show that the corresponding CITC coefficients of each item of the Green Innovation Scale are between 0.518 and 0.850, which are all greater than the ideal value of 0.4.
本文研究了企业绿色创新能力的整合与优化。企业绿色创新能力的整合模型为培育企业绿色创新能力提供了理论基础。但是，从优化的角度来看，在企业的生命周期中，企业应该如何合理配置资源并进行战略指导，以实现企业绿色创新能力的最优，这是一个值得思考的问题。本阶段的研究从企业发展的不同周期阶段出发，探索了整合模型的适应性和演变，并研究了实现目标匹配的策略优化方法。本文采用蚁群优化算法来支持企业绿色创新能力整合的研究。文章通过文字描述和公式相结合的方式详细描述了蚁群优化算法的原理。此外，还通过实验分析了研究的效果。结果表明，绿色创新量表各项目的相应 CITC 系数均在 0.518 到 0.850 之间，均大于 0.4 的理想值。
