桥接(联网)
知识管理
计算机科学
战略规划
构造(python库)
信息系统
管理科学
数据科学
工程类
管理
计算机网络
电气工程
经济
程序设计语言
作者
Mark Azzam,Rasmus Beckmann
出处
期刊:IEEE Transactions on Engineering Management
[Institute of Electrical and Electronics Engineers]
日期:2022-06-29
卷期号:71: 2324-2337
被引量:6
标识
DOI:10.1109/tem.2022.3179107
摘要
A major challenge for organizations and their strategic management today is the increasingly complex internal and external information and knowledge environment. To tackle this problem, we want to provide a fresh perspective on how to construct a modern AI-based socio-technical support system for strategic management. Methodologically, we provide a deep problem analysis and use the resulting insights to provide a solution approach drawing on different disciplines and bridging the gap between social science and computer science. Starting from challenges for strategic analysis in the age of information-overload, we analyze organizations as social communication systems. This yields a deeper understanding of organizations processing strategic information and their complex information environment. Based on the resulting insights, we propose our framework design by building on text mining and knowledge graph technology and give some guidance for its implementation. The novel system generates strategic intelligence by tapping into qualitative data: defining constantly changing information needs, interpreting information in its context as well as in reflection to the organization and making new knowledge promptly available to the right people. Throughout, we give illustrating examples from the domain of strategic research management.
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