[fg-arc] Deadline Extension: 1st Workshop on the Value and Quality of Enterprise Modelling, (VEnMo 2019)
Hacks, Simon
simon.hacks at swc.rwth-aachen.de
Wed May 22 08:03:02 CEST 2019
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1st Workshop on the Value and Quality of Enterprise Modelling (VEnMo 2019)
in conjunction with the 17th International Conference on Business Process
Management (BPM 2019)
2 September 2019 in Vienna
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In computer science and information systems development, enterprise
modelling (EM) is used for different purposes, like representing
requirements, visualizing established work processes, specifying system
design, expressing information structures, formalizing the relationships
between organizational structures and IT landscapes and many more. Despite
this large spectrum of modelling purposes and use cases, the value of
modelling in general and of enterprise models in particular is still subject
of research.
The 1st VEnMo Workshop invites researchers and practitioners with strong
interest in the value of EM to discuss approaches and experiences in
measuring, assessing, evaluating, and improving the value of enterprise
related models like enterprise models, enterprise architecture models, or
business process models. While it is common sense that EM adds value to
organizations, existing research is still vague regarding how this value
manifests. Therefore, the workshop aims to shed light on existing as well as
new theories, concepts and frameworks for describing, understanding and
measuring the benefit of EM.
One important aspect in this context may be the quality of EM, as only
models of an adequate quality with respect to their intended purpose allow
organizations to exploit the full value of EM. Therefore, the workshop
further encourages researchers and practitioners to report on insights or
approaches how to assess the quality of enterprise models. Contributions may
span from generic methods and appropriate quantifiable quality metrics to
studies that investigate what makes an enterprise model of high quality from
the perspective of relevant stakeholders.
However, we support a broad interpretation of the topics value and
quality and encourage submissions also in related areas.
**Topics**
interpretations or conceptualizations of the terms value and
quality in the context of Enterprise related Models (EM, EA models, BPM,
)
new approaches to measure, assess, evaluate, or improve the
value of enterprise related models
interrelations between model, method, and tool value
perceived value of models, methods, and tools
stakeholder perspectives on value and quality of EM
metrics, quantitative, and qualitative approaches to assess
the quality of enterprise related models.
theories or best practices for maximizing modelling value
relationship between quality, quantity and value
management of value aspects in modelling
case studies and industrial experience reports on successful
or failed application of approaches to assess the value or quality of
enterprise related models.
tools, infrastructure and environments supporting the
assessment of value or quality of enterprise related models.
empirical studies, evaluation and comparison of measurement
techniques and models.
we support a broad interpretation of the topics value and
quality and encourage submissions also in related areas.
**Submissions**
Two kinds of papers will be accepted:
Full papers with a page limit of 12 pages,
Short papers with a page limit of 6 pages.
Additionally, we accept alternative formats, like conducting experiments
or discussions with the participants on a certain topic. If you are
interested in doing so, please hand in a short abstract of 3 pages
describing your concept, i.e. what you plan to do and what the result should
be.
Papers should be written in English, following the LNBIP format and should
be submitted through the BPM 2019 easychair installation, accessible via
https://easychair.org/my/conference.cgi?conf=bpm2019.
All workshop papers will be published by Springer as a post-workshop
proceedings volume in the series Lecture Notes in Business Information
Processing (LNBIP). These proceedings will be made available to all
registered participants approximately four months after the workshops, while
preliminary proceedings will be distributed during the workshop.
**Key Dates**
Workshop papers submission deadline: May 24, 2019 **new** May
31, 2019
Workshop papers notification deadline: June 28, 2019
Workshop camera-ready papers deadline: July 12, 2019
Workshop VEnMo: September 2, 2019
**Web Site**
More information and link to the submission site:
http://www.venmo2019.informatik.uni-rostock.de/
**Program Committee**
Mathias Ekstedt, KTH (Sweden)
Peter Fettke, DFKI and Saarland University (Germany)
Janis Grabis, Riga Technical University (Latvia)
Marite Kirikova, Riga Technical University (Latvia)
Agnes Koschmider, Karlsruhe Institute of Technology (Germany)
Robert Lagerström, KTH (Sweden)
Birger Lantow, Rostock University (Germany)
Michael Leyer, Rostock University (Germany)
Monika Malinova, Vienna University of Economics and Business
(Austria)
Judith Michael, RWTH Aachen University (Germany)
Alexander Nolte, University of Tartu (Estonia)
Erik Proper, Luxembourg Institute for Science and Technology
(Luxembourg)
Alixandre Santana, UFRPE (Brazil)
Rainer Schmidt, Munich University (Germany)
Ulf Seigerroth, Jönköping University (Sweden)
Nuno Silva, UTL (Portugal)
Janis Stirna, Stockholm University (Sweden)
Margus Välja, Scania AB (Sweden)
**Organization Committee**
Felix Timm*, University of Rostock (Germany)
Simon Hacks*, RWTH Aachen University (Germany)
Kurt Sandkuhl, University of Rostock (Germany)
Michael Fellmann, University of Rostock (Germany)
*Co-Chairs
--
Simon Hacks
Research Assistant
Faculty of Mathematics, Computer Science and Natural Sciences
SWC - Computer Science 3 Research Group Software Construction
RWTH Aachen University
Ahornstraße 55
D-52074 Aachen, Germany
phone: +49 241 80-21332
fax: +49 241 80-621331
<mailto:simon.hacks at swc.rwth-aachen.de> simon.hacks at swc.rwth-aachen.de
<http://www.swc.rwth-aachen.de/> http://www.swc.rwth-aachen.de
room: 4105 (building E1, 1st floor)
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