The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Business Process Management: A Comprehensive Survey
Open accessAbstract
Business Process Management (BPM) research resulted in a plethora of methods, techniques, and tools to support the design, enactment, management, and analysis of operational business processes. This survey aims to structure these results and provide an overview of the state-of-the-art in BPM. In BPM the concept of a process model is fundamental. Process models may be used to configure information systems, but may also be used to analyze, understand, and improve the processes they describe. Hence, the introduction of BPM technology has both managerial and technical ramifications and may enable significant productivity improvements, cost savings, and flow-time reductions. The practical relevance of BPM and rapid developments over the last decade justify a comprehensive survey.
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Cited by
Wagg, D. J., Worden, K., Barthorpe, R. J., & Gardner, P. (2020) · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering · doi:10.1115/1.4046739 · Cited by 339
Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches
Di Ciccio, C., Marrella, A., & Russo, A. (2015) · Journal on Data Semantics · doi:10.1007/s13740-014-0038-4 · Cited by 312
Enterprise modelling: Research review and outlook
Vernadat, F. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103265 · Cited by 92
Hybrid Intelligence: to automate or not to automate, that is the question
Van der Aalst, W. M. P. (2021) · International Journal of Information Systems and Project Management · doi:10.12821/ijispm090201 · Cited by 55
Metadata
- Authors
- van der Aalst, W. M. P.
- Venue
- ISRN Software Engineering
- Publisher
- Hindawi Limited
- Published
- 2013-02-12
- Volume
- 2013
- Pages
- 1-37
- ISSN
- 2090-7672 (ISSN-L)
- 2090-7680
- OpenAlex
- W2151164148
- Cited by
- 828
- References
- 85
- FWCI
- 129.57
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.