Using GenAI as co-author for teaching supply chain management in higher education
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2025
Typ der Arbeit
Studiengang
Typ
04A - Beitrag Sammelband
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Advanced technologies and the university of the future
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Lecture Notes in Networks and Systems
Reihennummer
1140
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
183-194
Patentnummer
Verlag / Herausgebende Institution
Springer
Verlagsort / Veranstaltungsort
Cham
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
This chapter analyzes the utility of GenAI as a means of adequately gathering information on prevalent concepts in teaching supply chain management in higher education. We first develop and portray a framework for setting up a compendium of definitions using the explanatory power of GenAI as well as the comprehensiveness of classical textbooks, accompanied and critically reviewed by supply chain management experts. We then evaluate the resulting output by reflecting the need for content- and language adaptations and the extent of expert adaptations necessary to achieve correct explanations of supply chain management concepts such that students can use them for building up a profound and correct basic vocabulary in this field. Our results identify the extent to which GenAI outputs are correct, and confirm that this equates to the degree found in studies within other disciplines (e.g., medicine). We also show that GenAI can be used for creating uniform explanations of concepts in supply chain management, but that expert knowledge is required to validate the correctness of the outputs. The framework we developed can help to utilize the different sources of information in supply chain management education appropriately.
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
978-3-031-71529-7
978-3-031-71530-3
978-3-031-71530-3
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Fachlektorat/Editorial Review
Open Access-Status
Closed
Lizenz
Zitation
Wörner, D., & Holzapfel, A. (2025). Using GenAI as co-author for teaching supply chain management in higher education. In E. V. Vidal, U. R. Cukierman, & M. E. Auer (Eds.), Advanced technologies and the university of the future (pp. 183–194). Springer. https://doi.org/10.1007/978-3-031-71530-3_12