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Grass-Root Enterprise Modelling: How Large Language Models Can Help · Study

WorkGrass-Root Enterprise Modelling: How Large Language Models Can Help

Peter-Alexander Kolev2024

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Workgreen2024

Grass-Root Enterprise Modelling: How Large Language Models Can Help

Peter-Alexander Kolev · Hauke Hansen Pruss · Jim Robert Wilken · Kurt Sandkuhl

8 citations·0/0 files stored·Lecture notes in business information processing

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Business Process Modeling and Analysis Information Technology Governance and Strategy Model-Driven Software Engineering Techniques

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References

2014Enterprise Modeling 2003Enterprise Modelling and Integration 2023AI-augmented Business Process Management Systems: A Research Manifesto 2024Process Modeling with Large Language Models 2023Large Language Models for Business Process Management: Opportunities and Challenges 2018From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling 2020Enterprise modelling: Research review and outlook 2023Conversational Process Modelling: State of the Art, Applications, and Implications in Practice

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2022Enterprise Modeling with 4EM: Perspectives and Methodchapter · 5 shared references 2024Identifying Use Cases for Large Language Models in the Business Process Management Lifecycleother · 4 shared references 2023Adaptation of Enterprise Modeling Methods for Large Language Modelsother · 4 shared references 2024Large Process Models: A Vision for Business Process Management in the Age of Generative AIarticle · 3 shared references 2025Evaluating large language models on business process modeling: framework, benchmark, and self-improvement analysisarticle · 3 shared references 2025Efficient LLM-Based Conversational Process Modelingother · 3 shared references

Details

Year2024

Typeother

Published2024-11-29

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations8

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-031-77908-4_8

openalex_workW4404868266

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