全球合作的智能管理框架

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ana M. Gonzalez de Miguel, Antonio Sarasa-Cabezuelo
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引用次数: 0

摘要

本文介绍了全球合作智能管理框架的定义、使用和评估。研究工作为可持续环境下新的管理模式和人工智能解决方案的设计带来了新的概念和思路。智能管理框架是模型、体系结构和流程的灵活而有效的垂直关联。它是跨全球组织的It部门的服务和过程的混合(架构和方法)协会。本文提出了一种通用的自顶向下的方法来为全局协作智能模型设计这些框架。该方法包括五个抽象层次和三个细化技术。这些要素用于设计一个评估案例研究,其中包括全球服务和面向过程的合作,以实现当前的教育可持续目标。在我们未来的工作中,我们将为目前参与数字化转型的政府组织实施这些管理解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Intelligent Management Frameworks for Global Cooperation

Intelligent Management Frameworks for Global Cooperation

This paper presents the definition, use, and evaluation of intelligent management frameworks for global cooperation. The research work brings new concepts and ideas to design new management models and artificial intelligence solutions in sustainable environments. An intelligent management framework is a flexible and efficient vertical association of models, architectures, and processes. It is a mixed (architectural and methodological) association of services and procedures across IT departments of global organizations. The paper presents a general top-down approach to design these frameworks for global, cooperative models of intelligence. The approach includes five levels of abstraction and three refinement techniques. These elements are used to design an evaluation case study with global services and process-oriented cooperation for current sustainable targets in education. In our future work, we will implement these management solutions for government organizations currently involved with digital transformations.

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来源期刊
International Journal of Intelligent Systems
International Journal of Intelligent Systems 工程技术-计算机:人工智能
CiteScore
11.30
自引率
14.30%
发文量
304
审稿时长
9 months
期刊介绍: The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today''s experts in the field. Because new developments are being introduced each day, there''s much to be learned — examination, analysis creation, information retrieval, man–computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.
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