LABEM 2014 - Lowering Adoption Barriers to Enterprise Modeling (LABEM)

This workshop aims to raise the awareness on human dimensions immanent to enterprise modelling, and to underline the need for their better support by modelling technologies.
The success of an enterprise modelling effort heavily depends on the involvement and participation of a broader stakeholder group (e.g. process owners, domain experts, key decision-makers). In this context, models could be considered to act as boundary objects between different participants’ communities ? typically, but not limited to ? stakeholders, on one side, and modelling experts on the other.
To allow for better involvement of such audience in the enterprise modelling effort, the means used for modelling (i.e. primarily methods, modelling languages and tools) should be intuitive and as non-intrusive as possible. It is, however, a common observation in practice that standard modelling notations and dedicated tools offer unsatisfactory support with this regard, as they are rather focused on more technical aspects of modelling. This not only creates burden to stakeholder involvement, but also slows down the maturation of enterprise modelling practices.
Effectively supporting these, inherently human, aspects of modelling is a tremendous challenge. Nonetheless, there is a growing research interest in this topic across different research communities, in particular in software engineering, information systems, and human-computer interaction. With this respect, LABEM workshop aims to explore, discuss and elaborate on challenges related to including human aspects of modelling into enterprise modelling research agenda.
The workshop is conceived as platform to interactively discuss how this dimension should be addressed from the epistemological, methodological, as well as technological perspective. We also aim to discuss design-oriented approaches having the potential to lower down the barrier to enterprise modelling.
Given a cross-disciplinary nature of the topic, we hope to attract research contributions drawing on the surrounding disciplines, such as computer science, information systems, management science, cognitive science, linguistics, etc. In doing so, our ambition is to foster the development of a cross-disciplinary community around this research topic.
Topics
We encourage both academics and practitioners to share their ongoing research, reflections as well as their insights from practical experiences. The suggested topics include, but are not limited to:
Philosophical, cognitive and linguistic aspects of conceptual/enterprise modelling
Adaptability, configurability, extensibility of modelling languages,
Flexibility of modelling tools
Non-intrusive and intuitive modelling support
Man-model interaction, e.g. tangible modelling, cognitive aspects of interaction, etc.
Combined use of imprecise and/or incomplete models with more structured and precise models
Challenges of dealing with incomplete and imprecise models, relaxed conformance, etc.
Approaches to foster stakeholder involvement, participation and collaboration in conceptual/enterprise modelling
Case studies, return on experiences