Investigating business process changes: a framework for identifying outdated process models
Abstract
Purpose
Due to a lack of event data, organizations using Business Process Management may struggle to update their process models whenever business process changes occur. As such, alternative data sources are needed to detect and monitor business process changes.
Design/methodology/approach
We conducted interviews with domain experts to analyze real business processes and classify any identified changes using Reijers and Mansar's framework on business process redesign heuristics. Based on the results, we proposed a taxonomy of entity groups as well as a method for identifying entities in process models based on the taxonomy. With this method, we define how to create a mapping between entities and process models, forming a framework to identify outdated process models through monitoring the entities.
Findings
The analyses of 25 business processes let us define three entity groups that form our taxonomy. We confirmed the feasibility of our entity identification method by classifying process elements of 85 pre-existing process models according to the taxonomy. Regarding the mapping that forms the basis of our framework, we found it necessary to define requirement recommendations to ensure its consistency and rigor.
Originality/value
This study offers a novel approach to handling the challenges of business process change. By emphasizing the identification and use of entities in the analysis of business process changes, it provides a holistic approach to monitoring the work systems of an organization.
Keywords
Acknowledgements
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) - Finance Code 001. This study is also part of the project TED2021-129194B-I00, funded by “Unión Europea NextGenerationEU/PRTR” and MCIN/AEI/10.13039/501100011033. The authors acknowledge (in part) the financial support from the Slovenian Research Agency (research core funding No. P2-0057).
Citation
Avila, D.T., Sanchez, E.S., Fantinato, M., Polančič, G. and Thom, L.H. (2024), "Investigating business process changes: a framework for identifying outdated process models", Business Process Management Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BPMJ-11-2023-0863
Publisher
:Emerald Publishing Limited
Copyright © 2024, Emerald Publishing Limited