Evaluating the Performance of a Large Language Model (LLM) as a “Process Management Expert”

dc.contributor.authorJäger, Florian
dc.contributor.mentorTelesko, Rainer
dc.date.accessioned2025-04-30T07:27:11Z
dc.date.issued2024
dc.description.abstractThis master thesis investigates the potential of ChatGPT-4 to perform tasks typically managed by human process management experts. The primary objective is to benchmark ChatGPT's effectiveness, exploring its strengths and limitations while evaluating its capacity to complement human expertise in business process management (BPM).
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/51116
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleEvaluating the Performance of a Large Language Model (LLM) as a “Process Management Expert”
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.StudentsWorkTypeMaster
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutMaster of Sciencede_CH
relation.isMentorOfPublication70ff5378-ee4e-400d-aea1-7e129a703719
relation.isMentorOfPublication.latestForDiscovery70ff5378-ee4e-400d-aea1-7e129a703719
Files
Collections
Master of Science