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On the creation of value achieved by harnessing large language models

Staegemann, Daniel and Pohl, Matthias and Haertel, Christian and Turowski, Klaus (2026) On the creation of value achieved by harnessing large language models. Procedia Computer Science, 280, pp. 320-326. Elsevier. doi: 10.1016/j.procs.2026.04.042. ISSN 1877-0509.

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Abstract

With the emergence of ChatGPT, large language models (LLMs) have gotten considerable attention from industry and academia alike. While there are numerous publications that describe the use of LLMs in different scenarios, the discussion regarding its actual utility from an organizational perspective is currently rather limited. Yet, for a technology to strive long-term and justify its utilization, it needs to provide tangible benefits to its users or their organizations. To bridge this gap, the publication at hand discusses how the harnessing of LLMs can create value for organizations and what is necessary to better support decision makers in assessing whether they want to integrate LLMs into their organization's processes and, if so, in which capacity and to which extent. Further, a case study approach to analyze the economic impact of LLMs is suggested.

Item URL in elib:https://elib.dlr.de/226527/
Document Type:Article
Title:On the creation of value achieved by harnessing large language models
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Staegemann, Danieldaniel.staegemann (at) ovgu.deUNSPECIFIEDUNSPECIFIED
Pohl, Matthiasmatthias.pohl (at) dlr.dehttps://orcid.org/0000-0002-6241-7675225531314
Haertel, Christianchristian.haertel (at) ovgu.deUNSPECIFIEDUNSPECIFIED
Turowski, Klausklaus.turowski (at) ovgu.deUNSPECIFIEDUNSPECIFIED
Date:April 2026
Journal or Publication Title:Procedia Computer Science
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:280
DOI:10.1016/j.procs.2026.04.042
Page Range:pp. 320-326
Publisher:Elsevier
ISSN:1877-0509
Status:Published
Keywords:Large language model, LLM, Value creation, Organizational value, Case study
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment, V - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Data Management and Enrichment
Deposited By: Pohl, Matthias
Deposited On:02 Sep 2026 10:49
Last Modified:07 Sep 2026 11:15

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