A Bibliometric Analysis of the BPM Conference Using Computational Data Analytics
Fabian Muff, Felix H\"arer, Hans-Georg Fill

TL;DR
This study conducts a bibliometric and content analysis of 15 years of BPM conference papers using computational methods, revealing research trends and future directions in business process management.
Contribution
It presents a comprehensive bibliometric and topic modeling analysis of BPM conference proceedings, enriching data sources and offering insights into research evolution.
Findings
Identification of key research topics over 15 years
Insights into the evolution of BPM research themes
Potential future research directions
Abstract
The BPM conference has a long tradition as the premier venue for publishing research on business process management. For exploring the evolution of research topics, we present the findings from a computational bibliometric analysis of the BPM conference proceedings from the past 15 years. We used the publicly available DBLP dataset as a basis for the analysis, which we enriched with data from websites and databases of the relevant publishers. In addition to a detailed analysis of the publication results, we performed a content-based analysis of over 1,200 papers from the BPM conference and its workshops using Latent Dirichlet Allocation. This offers insights into historical developments in Business Process Management research and provides the community with potential future prospects.
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Taxonomy
TopicsBusiness Process Modeling and Analysis · Big Data and Business Intelligence · Service-Oriented Architecture and Web Services
