计算机科学
过程(计算)
知识管理
提升(金属加工)
过程管理
业务
几何学
数学
操作系统
作者
Yannick Peifer,Tim Jeske,Sven Hille
标识
DOI:10.1016/j.procs.2022.01.301
摘要
An increasing networking of IT systems as well as the use of cyber-physical systems in the industrial environment are raising the current amount of data. To process this enormous amount of data and derive conclusions companies use Artificial Intelligence (AI) more frequently. The increasing application and use of AI have a significant impact on socio-technical work systems. In particular, challenges and requirements for leaders and leadership can be identified. Accordingly, leaders and leadership are crucial for implementing and using AI successfully. This and the dynamic development of AI require further research on its impact on leaders and leadership for supporting companies with practice-proven guidelines and recommendations. For developing those a comprehensive analysis of existing literature has been conducted and will be the basis for further steps. The literature analysis' results were grouped into four main clusters: Strategic Transformation Process, Qualification and Competencies, Culture and Human-AI Interaction. The results are presented in detail and an outlook on the further steps of research and development will be given.
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