PoEM 2022 Call for Papers
November 23-25, 2022, London, UK
http://poem2022.mdx.ac.uk/


The 15th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM) takes place in London, UK, on November 23 - 25. It is hosted by the Middlesex University London. The working conference aims to improve the understanding of the practice of Enterprise Modelling (EM) by offering a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector.

IMPORTANT DATES

Abstract submission (not mandatory): July 8, 2022
Paper submission deadline: July 15, 2022
Notification: September 5, 2022
Conference: November 23-25, 2022

PoEM 2022 invites you to contribute by submitting paper(s) on topics related to Enterprise modelling. This year, the theme of the conference is Enterprise Modelling and Model-based Development and Engineering. The theme reflects the importance of Enterprise modelling methods, techniques and tools in the development of complex solutions and systems, for example in the context of digital transformation, implementation of Artificial Intelligence, Internet-of-Things, Big Data solutions or Information and Software Systems. The diversity of stakeholders and variety of modelling techniques and perspectives to be integrated requires agile ways of working and techniques for efficiently dealing with unexpected changes. The field of Enterprise Modelling should seek to support these challenges by providing methods and tools, as well as investigating and reporting on the current state-of-research and state-of-practice.

PoEM 2022 welcomes submissions addressing the above main theme, the topics listed below and combinations of both.

Enterprise Modelling and Model-based Engineering Track
- Enterprise modelling languages for model-based engineering (MBE)
- Modelling for model-based development (MBD)
- Integration of models from enterprise modelling (EM) and MDE / MDB
- Methodologies and tools for EM and MBD / MBE
- Practices for Enterprise Modelling and Model-based Engineering
- Modelling in Industry 4.0, Cyber-Physical Systems, and Digital Twins
- Sociotechnical theory and Enterprise Modelling
- Modelling for AI solutions and Big Data applications

General Track
- Enterprise Modelling Theory
- Enterprise Modelling Practice, Case Studies, and Action Research
- Human Aspects in Enterprise Modelling
- Participatory and Collaborative Modelling
- Enterprise Modelling Tool Support
- Modelling for Digitalization
- Modelling for Artificial Intelligence solutions
- Large Scale Organizational Structures and Enterprise Ecosystems
- Modelling Data-driven Organizations
- Modelling and Enterprise Architecture Management
- Enterprise Modelling for Information Systems
- Agile Enterprise Modelling
- Enterprise Model Life-cycle Management
- Meta-Modelling
- Quality and Validation of Enterprise Models
- Conceptualizations, Notations, Ontologies and Multi-Level Enterprise Modelling
- Multi-perspective Business Processes
- Capability-driven Modelling
- Value of Enterprise Modelling
- Knowledge Management and Enterprise Modelling
- Modelling Enterprise Security, Risk, Privacy and Regulatory Compliance
- Organizational and Resource Modelling

SUBMISSIONS

Types of papers:

* Research papers describe original research contributions in Enterprise Modelling (max. 15 pages)
* Practitioner/Experience papers present problems, challenges or experience related to any aspect of Enterprise Modelling encountered in practice (max. 15 pages)
* Short papers can be used to present work in progress and emerging Enterprise Modelling challenges (max. 10 pages)

Submission format: Springer LNBIP https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Submission site: https://easychair.org/conferences/?conf=poem2022

PUBLICATIONS
Accepted research and experience papers will be published in Springer Lecture Notes in Business Information Processing (LNBIP, indexed in Scopus, Web of Science, DBLP). PoEM FORUM papers and workshop papers will be published in the CEUR proceedings series.