Explaining Process Dynamics: A Process Mining Context Taxonomy for Sense-Making

Franzoi, Sandro; Hartl, Sophie; Grisold, Thomas; van der Aa, Han; Mendling, Jan; vom Brocke, Jan


Abstract

Process mining research focuses on analyzing, visualizing, and predicting business process performance. However, the interpretation of process mining results often overlooks the critical role of context, limiting the ability to derive meaningful insights into process dynamics. In this paper, we develop a Process Mining Context Taxonomy that identifies and categorizes contextual factors influencing process mining outcomes across three levels: process-immediate, organization-internal, and organization-external context. Grounded in existing context frameworks and empirical insights from routine dynamics, the taxonomy provides a structured approach for incorporating context into process mining analyses. We demonstrate its applicability through a case study in a financial institution and evaluate its usability in a user study involving process mining experts. Based on these findings, we propose two usage paths to guide process analysts in interpreting process mining results. Our study highlights the need for contextualization in process mining, offers actionable guidance to enhance the interpretability of process mining efforts, and opens up promising avenues for future research.

Keywords
Context; Process mining; Taxonomy; Sense-making; Dynamics



Publication type
Research article (journal)

Peer reviewed
Yes

Publication status
Published

Year
2025

Journal
Process Science

Volume
2

Start page
1

End page
27

ISSN
2948-2178

DOI