A Functional Classification and Feature Repository for Participative Enterprise Modelling Tools: An AI-Complemented Multivocal Literature Review

Abstract

Selecting appropriate modeling tools for participative enterprise modeling (PEM) remains challenging in an era defined by digital collaboration and remote work, partly due to the absence of a comprehensive overview of tool features. To address this gap, we conducted a multivocal literature review (MLR) to develop a repository of PEM tool features. Thirteen primary publications were analyzed, sourced from four academic databases, complemented by searches in SciSpace, Elicit, and through forward and backward snowballing. Some tools identified in academic literature are no longer freely available, and many popular collaborative whiteboard tools were not extracted from our primary publications. To address this, features from grey literature were reviewed and used to enhance our repository. As a secondary contribution, we explore the potential of artificial intelligence (AI) to support the process. Future work should prioritize ongoing updates to the repository and the use of automated methods for literature screening and feature extraction.