How Should Organizations Manage Artificial Intelligence? : A Strategic Literature Review

Faculty/Professorship: Information Systems Management  
Author(s): Fischer, Vanessa; Beimborn, Daniel  
Title of the compilation: PACIS 2022 Proceedings
Conference: Pacific-Asia Conference on Information Systems 2022, July 5-9, 2022, Taipei/Sydney Virtual Conference
Publisher Information: AISeL
Year of publication: 2022
Language(s): English
Artificial intelligence (AI) has reached many organizations. First engagement and im-plementation with its technologies have started. While some organizations demonstrate its value-adding utilization, others are still in early stages and face challenges. The management of AI goes beyond the technology itself and forces changes in the organiza-tions. This paper conducts a strategic literature review to answer the research question ‘How should organizations manage AI?’. 38 reviewed papers report about different, yet fragmented, research activities and findings related to the management of AI. To draw a holistic picture about the state of research, we organize the results along the manage-ment activities of planning and decision-making, organizing, guiding, and controlling AI systems in managerial practice. Thus, the paper contributes to both, research and practice, and outlines future research directions which are not covered, yet.
Type: Conferenceobject
Release Date: 14. October 2022