ERef Bayreuth

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Potenzial von Künstlicher Intelligenz für den Einsatz im Projektrisikomanagement

Title data

Guggenberger, Tobias ; Paetzold, Felix ; Protschky, Dominik ; Petri, Rudolf Markus ; Kuhmann, Jochen:
Potenzial von Künstlicher Intelligenz für den Einsatz im Projektrisikomanagement.
Bayreuth, Germany , 2025

Official URL:

Project information

Project title:	Project's official title Project's id KIPRM No information
Project financing:	KIPRM

Further data

Item Type:	Working paper, discussion paper
Keywords:	Large Language Model; KI
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems and Digital Energy Management Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems and Digital Energy Management > Professor Information Systems and Digital Energy Management - Univ.-Prof. Dr. Jens Strüker Profile Fields Profile Fields > Emerging Fields Profile Fields > Emerging Fields > Energy Research and Energy Technology Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	28 Nov 2025 10:17
Last Modified:	28 Nov 2025 10:17
URI:	https://eref.uni-bayreuth.de/id/eprint/95355