The DOI matches its Crossref record; 83 of the 85 references it cites were found in a registry or an index.
Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches
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“However, their largely static nature proves to be a major limitation, as these frameworks struggle to accommodate the data-driven branching that characterizes dynamic workflows (Di Ciccio, Marrella, and Russo 2015).”
From VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows (2026) · cites this paper as Di Ciccio, Marrella, and Russo 2015
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“Traditional Business Process Management systems provide rigor, determinism, and auditability, yet they generally struggle to adapt their execution at runtime.”
From VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows (2026) · cites this paper as Di Ciccio, Marrella, and Russo 2015
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Citations
Cites
THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT
van der Aalst, W. M. P. (1998) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126698000043 · Cited by 2,716
van der Aalst, W. M. P., ter Hofstede, A. H. M., Kiepuszewski, B., & Barros, A. (2003) · Distributed and Parallel Databases · doi:10.1023/a:1022883727209 · Cited by 2,613
Fundamentals of Business Process Management
Dumas, M., Rosa, M. L., Mendling, J., & Reijers, H. A. (2018) · Springer eBooks · doi:10.1007/978-3-662-56509-4 · Cited by 1,832
Business Process Management : Concepts, Languages, Architectures
Weske, M., & GmbH, S.-V. (2007) · doi:10.1007/978-3-540-73522-9 · Cited by 1,664
The temporal logic of programs
Pnueli, A. (1977) · 18th Annual Symposium on Foundations of Computer Science (sfcs 1977) · doi:10.1109/sfcs.1977.32 · Cited by 1,523
Fundamentals of Business Process Management
Dumas, M., Rosa, M. L., Mendling, J., & Reijers, H. A. (2013) · Springer eBooks · doi:10.1007/978-3-642-33143-5 · Cited by 1,372
Knowledge in action: logical foundations for specifying and implementing dynamical systems
(2002) · Choice Reviews Online · doi:10.5860/choice.39-4626 · Cited by 1,094
Business Process Management: A Comprehensive Survey
van der Aalst, W. M. P. (2013) · ISRN Software Engineering · doi:10.1155/2013/507984 · Cited by 828
Thinking for a living: how to get better performance and results from knowledge workers
(2006) · Choice Reviews Online · doi:10.5860/choice.43-3471 · Cited by 781
(1996) · Sloan management review · Cited by 767
Research works printed but not linked: 1
- Warren P, Kings N, Thurlow I, Davies J, Buerger T, Simperl E, Ruiz C, Gomez-Perez JM, Ermolayev V, Ghani R, Tilly M, Bösser T, Imtiaz A (2009) Improving knowledge worker productivity—the active integrated approach. BT Technol J 26(2):165–176
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Items 301–310 of 310
Fotland, S.-L. S., Berge, A., Zakariassen, E., Midtbø, V., Baste, V., Fonnes, G., Guribye, F., Trattner, C., You, J., & Johansen, I. H. (2026) · JMIR Formative Research · doi:10.2196/87082
AR-COMPASS: A Framework for Tacit Knowledge Capturing in Industrial Maintenance
Scheffer, S., Kajtazi, K., & Ansari, F. (2026) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2026.3698594
Bein, L., & Pufahl, L. (2026) · Lecture notes in business information processing · doi:10.1007/978-3-032-27997-2_21
Tenancy-Aware AI Automation for B2B SaaS Admin Workflows
Gopakumar, S. (2026) · IEEE International Conference on Smart Sustainable Systems for Computer and Engineering Applications (3SCEA) · doi:10.1109/3scea68071.2026.11602947
Analyzing increasingly digitalized knowledge-intensive processes
Alter, S., & Eshuis, R. (2026) · Business Process Management Journal · doi:10.1108/bpmj-09-2024-0798
A Scoring-Based Approach for Structuredness-Aware Business Process ClassificationPreprint
Andree, K., Kuzmin, I., & Pufahl, L. (2026) · Research Square · doi:10.21203/rs.3.rs-10398302/v1
Rubab, U., & Axmann, B. (2026) · Lecture notes in business information processing · doi:10.1007/978-3-032-37877-4_24
Teaching Declarative BPM: Where, When and to Whom it Matters
López, H. A., Ciccio, C. D., Hildebrandt, T., & Smedt, J. D. (2026) · Lecture notes in business information processing · doi:10.1007/978-3-032-36710-5_21
A Method to Identify Variability in Knowledge Intensive Processes
do Nascimento, A. S., Santoro, F. M., & Cereja, J. R. (2015) · Journal of the Association for Information Systems · doi:10.5555/2814058.2814175
Metadata
- Authors
- Di Ciccio, C., Marrella, A., & Russo, A.
- Affiliations
- Sapienza University of Rome (IT)
- Corresponding author
- Marrella, Andrea
- Venue
- Journal on Data Semantics
- Published
- 2014-04-09
- Volume
- 4
- Issue
- 1
- Pages
- 29-57
- ISSN
- 1861-2032 (ISSN-L)
- 1861-2040
- OpenAlex
- W1992412373
- Cited by
- 312
- References
- 85
- Citations by year
- 2026: 9 · 2025: 21 · 2024: 27 · 2023: 24 · 2022: 29 · 2021: 34 · 2020: 25 · 2019: 38 · 2018: 30 · 2017: 31 · 2016: 14 · 2015: 27 · 2014: 3
- FWCI
- 55.40
- Type
- journal article
- Language
- en
- Open access
- green
- link.springer.com
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Journal on Data Semantics (publishedVersion)
- WU Research (publishedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, other-oa)
- Funders
- European Commission (318275)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Business Process Modeling and Analysis
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Keywords
- knowledge-intensive processes, process engineering, process management, process execution, requirements analysis, evaluation framework, process approach, data-centric systems, flexibility
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