Leveraging Sentiment Analysis and Reporting for Re-designing Business Processes Using Large Language Models: A SentiProMo Case Study in Airline Check-In Processes

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Softic, S., Lüftenegger, E., Resanovic, D., Softic, S., Popan, A. (2024). Leveraging Sentiment Analysis and Reporting for Re-designing Business Processes Using Large Language Models: A SentiProMo Case Study in Airline Check-In Processes. In: Thürer, M., Riedel, R., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology, vol 731. Springer, Cham.
Original languageEnglish
Title of host publicationIFIP Advances in Information and Communication Technology
Pages3-17
Number of pages14
DOIs
Publication statusPublished - 2024

Keywords

  • Information systems
  • Business process re-design
  • Business Process
  • Sentiment analysis
  • Artificial Intelligence (AI)
  • case study
  • Large Language Models

ASJC Scopus subject areas

  • Information Systems

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

  • 202022 Information technology

Applied Research Level (ARL)

  • ARL Level 7 - Principle in use

Research focus/foci

  • Industrial Informatics
  • Future Service Industries

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