主页
外文期刊
OA 期刊
电子期刊
外文会议
中文期刊
标准
网络数据库
专业机构
企业门户
起重机械
生产工程
高级检索
关于我们
版权声明
使用帮助
Optimizing Organizational Structures with Artificial Intelligence: Algorithm Design and Application
     
  
  
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:
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.
相关文献:
Research on organizational structure optimization of engineering research center
Analysis on the Optimization of University Library's Organizational Structure
Research on Source Training and Whole Chain Management of Excellent for Young Leaders
Research on the Interoperability of Leadership Development Channel based on Incentive Sensitive Factors
国家科技图书文献中心
全球文献资源网
京ICP备05055788号-26
机械工业信息研究院 2018-2024