Context
This PhD research project focuses on conceptualising the notion of impact in the process mining domain.
Process mining is a field of techniques that automatically discover process models and monitor performance indicators, bottlenecks, resource constraints, and regulatory performance. It draws from computational intelligence, data mining and process science. As the domain sees growing interest within many industry sectors, several tools and techniques have been developed and applied in various contexts with promising results. Insights from industry practitioners and consultants estimate that the process mining market will continue to grow and expand financially. While many non-adopters plan to conduct pilot runs, current global-scale users intend to expand their initiatives as they believe process mining delivers value.
Using qualitative and case study research approaches, this study seeks to provide a detailed understanding of the nature of impact in process mining and what factors contribute to the success of process mining in an organisation. This project seeks to offer an alternative to existing anecdotal approaches to assessing process mining impacts by proposing an empirically validated process mining impacts framework for both industry and academia.
The objectives of the study are to:
- identify the key dimensions and elements of process mining impact
- determine the success factors and contextual nuances that could influence process mining impact in an organisation
- understand how process mining impact may differ based on different contextual elements
PhD Student and Supervisory Team
Azumah Mamudu PhD student
Prof. Moe Wynn Principal supervisor
Assoc. Prof. Wasana Bandera
Dr Sander Leemans
Project Outcomes
The primary artefact for this research will include an empirically validated process mining impacts framework that captures the key dimensions and sub-elements of process mining impact. An extended version of this framework will also capture process mining success factors and guiding principles for applying the proposed framework.
