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Perspectives in Business Informatics Research

23rd International Conference on Business Informatics Research, BIR 2024, Prague, Czech Republic, September 11–13, 2024, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Václav Řepa

    1. Prague University of Economics and Business, Prague, Czech Republic

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  2. Raimundas Matulevičius

    1. University of Tartu, Tartu, Estonia

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    You can also search for this editor in PubMed   Google Scholar

  3. Emanuele Laurenzi

    1. FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 529)

Included in the following conference series:

Conference proceedings info: BIR 2024.

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About this book

This book constitutes the proceedings of the 23rd International Conference on Perspectives in Business Informatics Research, BIR 2024, which took place in Prague, Czech Republic, in September 2024. The central theme of BIR 2024 was “Artificial Intelligence (AI) in Business Informatics: Opportunities and Challenges”.

The 15 full papers and 1 short paper included in these proceedings were carefully reviewed and selected from 43 submissions. They cover different aspects of the discipline and are organized in sections on AI opportunities and challenges; AI applications and use cases in business; business intelligence; business and information systems development; and knowledge and traceability management.

Keywords

Table of contents (16 papers)

  1. Front Matter

    Pages i-xviii
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  2. AI Opportunities and Challenges

    1. Front Matter

      Pages 1-1
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    2. Business, Data and Analytics: Specifying AI Use Cases with the Help of Modeling Techniques

      • Matthias Brunnbauer
      Pages 3-18

    3. Generative AI for BPMN Process Analysis: Experiments with Multi-modal Process Representations

      • Damaris Naomi Dolha, Robert Andrei Buchmann
      Pages 19-35

    4. LLM-Assistance for Quality Control of LLM Output

      • Kurt Sandkuhl
      Pages 36-50

  3. AI Applications and Use Cases in Business

    1. Front Matter

      Pages 51-51
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    2. Unlocking Viewer Insights in Linear Television: A Machine Learning Approach

      • Javier Carreno, Khuong An Nguyen, Zhiyuan Luo, Andrew Fish
      Pages 53-67

    3. Comparison of AI-Based Document Classification Platforms

      • Leon Görgen, Leon Griesch, Kurt Sandkuhl
      Pages 68-84

    4. Towards Model-driven Enhancement of Safety in Healthcare Robot Interactions

      • Georgios Koutsopoulos, Penelope Ioannidou, George K. Matsopoulos, Dimitrios D. Koutsouris
      Pages 85-100

  4. Business Intelligence

    1. Front Matter

      Pages 101-101
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    2. Modelling of Organisational Rules in Complex Adaptive Systems: a Systematic Mapping Study

      • Jöran Lindeberg, Martin Henkel, Eric-Oluf Svee
      Pages 103-118

    3. Towards Method Support for Variability Modelling in Enterprise Architecture Management

      • Ahmed Dehne, Kurt Sandkuhl
      Pages 119-134

    4. Cross-section of Business Intelligence Projects: Information Systems Success Perspective

      • Dace Kvalberga, Jānis Grabis
      Pages 135-149

  5. Business and Information Systems Development

    1. Front Matter

      Pages 151-151
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    2. Incorporating Ethical Aspects in Information Systems Requirements Engineering

      • Olga Levina
      Pages 153-161

    3. Suitability of Business Process Modeling Methods for Requirements Elicitation

      • Liene Ieva Kraupša, Marite Kirikova
      Pages 162-175

    4. Software Architectures and the Use of Knowledge Graphs to Support Their Design

      • Ana-Maria Ghiran, Sven-Alexander Gal
      Pages 176-190

    5. Technical Debt – Insights Into a Manufacturing SME Case Study

      • Katharina Greger, Michael Möhring
      Pages 191-206

  6. Knowledge and Traceability Management

    1. Front Matter

      Pages 207-207
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    2. Discovery Rules for Depicting Tacit Knowledge Usage and Management in Fractal Enterprise Models

      • Ilia Bider, Erik Perjons
      Pages 209-224
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Other volumes

  1. Perspectives in Business Informatics Research

Editors and Affiliations

  • Prague University of Economics and Business, Prague, Czech Republic

    Václav Řepa

  • University of Tartu, Tartu, Estonia

    Raimundas Matulevičius

  • FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland

    Emanuele Laurenzi

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