Investigating business process changes: a framework for identifying outdated process models

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this method, we define how to create a mapping between entities and process models, forming a framework to identify outdated process models through monitoring the entities.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.

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Publication Details

Journal
Business Process Management Journal
Published
2024-09-27
DOI
https://doi.org/10.1108/bpmj-11-2023-0863
Citations
1
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.53
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article

Investigating business process changes: a framework for identifying outdated process models

Gregor Polančič, Marcelo Fantinato, Lucinéia Heloisa Thom, Encarna Sosa et al.
1 citations
Business Process Management Journal
Business Process Modeling and Analysis
0.53
article

Investigating business process changes: a framework for identifying outdated process models

Gregor Polančič, Marcelo Fantinato, Lucinéia Heloisa Thom, Encarna Sosa, Diego Toralles Avila
article en
1 citations

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.

Business Process Management JournalVol. 31(3)
Universidade Federal do Rio Grande do Sul (BR), Universidade de São Paulo (BR), Republic Polytechnic (SG), University of Maribor (SI), Engineering Arts (United States) (US), Hospital Universitário da Universidade de São Paulo (BR), Institute of Informatics of the Slovak Academy of Sciences (SK), Universidad de Extremadura (ES), University of Rio Grande and Rio Grande Community College (US)
Openalex Percentile: Top 26%
Business Process Modeling and Analysis
0.53
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