Optimizing Organizational Structures with Artificial Intelligence: Algorithm Design and Application
参考中译:利用人工智能优化组织结构：算法设计与应用


          

刊名：Revue d'Intelligence Artificielle
作者：Xiaoran Pang（Seoul School of Integrated Sciences and Technologies）
刊号：737F0004
ISSN：0992-499X
出版年：2024
年卷期：2024, vol.38, no.1
页码：341-350
总页数：10
分类号：TP3
关键词：Organizational structure optimization；Artificial intelligence；Human resource allocation；Internal conflict resolution；Fuzzy cerebellar model articulation controller；Trust network
参考中译：组织结构优化;人工智能;人力资源配置;内部冲突的解决;模糊小脑模型关节控制器;信任网络
语种：eng
文摘：In the context of globalization and information technology advancement, organizations are confronted with the dual challenges of efficiently allocating resources and promptly addressing internal conflicts. The optimization of organizational structures is identified not only as a strategic measure to enhance competitive advantage but also as a necessary approach to improve decision-making quality and organizational adaptability. This study explores the application of artificial intelligence (AI) technologies in optimizing organizational structures, focusing specifically on the intelligent allocation of human resources and the intelligent identification and resolution mechanisms for internal conflicts. Existing research shows a notable deficiency in resource allocation and conflict resolution, particularly lacking consideration of trust network within organizations and analysis of adaptability to dynamic changes. Addressing these issues, a model based on the fuzzy cerebellar model articulation controller (FCMAC) for the optimization of human resource allocation is proposed. This model is capable of dynamically adjusting strategies in response to the evolving demands of the organization. Concurrently, an intelligent framework for identifying and resolving internal conflicts, which incorporates trust network, has been developed. By quantifying trust relationships, the framework aims to enhance the accuracy of decision-making and the coordination within the organization. Findings suggest that these methodologies significantly improve the efficiency of organizational resource allocation and effectively reduce conflict situations, thereby enhancing overall work efficiency and performance. This research not only offers a new perspective on the role of AI in optimizing organizational decisions but also provides practical solutions for management practices, crucial for aiding organizations to adapt to rapidly changing external environments and enhance their competitiveness.
参考中译：在全球化和信息技术进步的背景下，各组织面临着有效分配资源和迅速解决内部冲突的双重挑战。组织结构的优化不仅被认为是增强竞争优势的战略措施，而且是提高决策质量和组织适应性的必要途径。本研究探讨人工智能(AI)技术在组织结构优化中的应用，特别是人力资源的智能配置和内部冲突的智能识别和解决机制。现有的研究表明，在资源分配和冲突解决方面存在着显著的不足，特别是缺乏对组织内部信任网络的考虑和对动态变化的适应性分析。针对这些问题，提出了一种基于模糊小脑模型关节控制器(FCMAC)的人力资源优化配置模型。该模型能够动态调整战略，以响应组织不断变化的需求。同时，还开发了一个智能框架，用于识别和解决内部冲突，其中包括信任网络。通过量化信任关系，该框架旨在提高决策的准确性和组织内部的协调。调查结果表明，这些方法显著提高了组织资源分配的效率，有效地减少了冲突情况，从而提高了整体工作效率和业绩。这项研究不仅为人工智能在优化组织决策中的作用提供了一个新的视角，而且为管理实践提供了实用的解决方案，对于帮助组织适应快速变化的外部环境和提高竞争力至关重要。



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