Participatory modeling from a stakeholder perspective: On the influence of collaboration and revisions on psychological ownership and perceived model quality

Abstract

Participatory enterprise modeling is about gathering domain experts and involving them directly in the creation of models, aided by modeling experts. It is meant to increase commitment to and quality of models. This paper presents an exploratory study focusing on the subjective view of the domain experts. We investigated the influence of direct collaboration versus individual modeling, and the influence of model revisions by modeling experts on psychological ownership and perceived model quality. We chose process modeling as a particular form of enterprise modeling. Our results give hint that domain experts working individually with a modeling expert perceive model quality as higher than those working collaboratively whereas psychological ownership did not show any difference. Revisions caused changes in the subjects’ assessments only of model quality. Moreover, we will present qualitative results from interviews we led with the participants. They reveal interesting insight on how outcome and perception of the procedure and the method in both settings can be positively influenced. The interviews also emphasize the special role of the method experts who are sometimes even considered as co-owners of the model.

Improving active participation during enterprise operations modeling with an extended story-card-method and participative modeling software

“…The limitation of the eSCM not facilitating co-modeler context As indicated by Gutschmidt et al [ 37 ], a prerequisite for constructive participation is that participants need to know one another. Our experiment mitigated the risk of hampered participation due to limited relationship-building, providing the facilitator of the participative session the freedom to select a colleague.…”

Informing Possible Future Worlds

“…Separating between different modeling approaches will most likely have an impact on the suitable support artefacts as they allow for more advanced (i. e., formal, complex) artefacts to be used if a modeling expert for these artefacts is involved. That means, the creation of models can become more difficult, while there might still be limits to the artefact used in terms of understandability of the developed model, i. e., its notation (Gutschmidt et al 2022).…”