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How AI Helps to Increase Organizations’ Capacity to Manage Complexity – A Research Perspective and Solution Approach Bridging Different Disciplines

Azzam, Mark und Beckmann, Rasmus (2022) How AI Helps to Increase Organizations’ Capacity to Manage Complexity – A Research Perspective and Solution Approach Bridging Different Disciplines. IEEE Transactions on Engineering Management, 71, Seiten 2324-2337. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TEM.2022.3179107. ISSN 0018-9391.

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Offizielle URL: https://dx.doi.org/10.1109/TEM.2022.3179107

Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/205589/
Dokumentart:Zeitschriftenbeitrag
Titel:How AI Helps to Increase Organizations’ Capacity to Manage Complexity – A Research Perspective and Solution Approach Bridging Different Disciplines
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Azzam, MarkNICHT SPEZIFIZIERThttps://orcid.org/0000-0003-4914-3371NICHT SPEZIFIZIERT
Beckmann, RasmusNICHT SPEZIFIZIERThttps://orcid.org/0000-0002-0902-7942NICHT SPEZIFIZIERT
Datum:29 Juni 2022
Erschienen in:IEEE Transactions on Engineering Management
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:71
DOI:10.1109/TEM.2022.3179107
Seitenbereich:Seiten 2324-2337
Verlag:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0018-9391
Status:veröffentlicht
Stichwörter:Artificial intelligence, knowledge graph, natural language processing, research management, social systems theory, strategic intelligence, strategic management
HGF - Forschungsbereich:keine Zuordnung
HGF - Programm:keine Zuordnung
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:keine Zuordnung
DLR - Forschungsgebiet:keine Zuordnung
DLR - Teilgebiet (Projekt, Vorhaben):keine Zuordnung
Standort: Köln-Porz
Institute & Einrichtungen:Vorstandsbereich Innovation, Transfer und wissenschaftliche Infrastrukturen > Technologietransfer
Hinterlegt von: Beckmann, Rasmus
Hinterlegt am:09 Mai 2025 10:09
Letzte Änderung:09 Mai 2025 10:09

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