Conference Information
BPM 2024: International Conference on Business Process Management
https://bpm2024.agh.edu.pl/Submission Date: |
2024-03-01 |
Notification Date: |
2024-05-17 |
Conference Date: |
2024-09-01 |
Location: |
Krakow, Poland |
Years: |
22 |
CORE: a QUALIS: a2 Viewed: 19807 Tracked: 3 Attend: 0
Call For Papers
The International Conference on Business Process Management (BPM) is the premium forum for researchers and practitioners in the field of BPM. The conference embraces the interdisciplinary nature of BPM to its fullest extent. To this end, the conference explicitly seeks to bring together the finest research contributions and viewpoints from the fields of computer science, information systems engineering, and information systems management. The objective is to enhance or refine the existing portfolio of theories, methods, and tools for managing and improving business processes. Consolidation Chair: Michael Rosemann, Queensland University of Technology, Australia To accommodate this diversity, the BPM conference is structured into three tracks: Foundations, Engineering, and Management. Each track covers different phenomena of interest and research methods. Accordingly, each track has specific evaluation criteria, a separate track chair, and a dedicated program committee. Track I: Foundations Track Chair: Andrea Marrella, Sapienza University of Rome, Italy Track I invites papers that have a foundational nature, that is a formal, mathematical, conceptual or philosophical nature. It focuses on (i) papers investigating the underlying principles of BPM, computational theories, formal methods and algorithms for modelling, automating and analysing business processes; (ii) papers identifying novel problems, novel languages, architectures and other concepts underlying process-aware information systems, as well as conceptual papers on frameworks, taxonomies, patterns and that use conceptual modelling techniques to investigate problems in the design and analysis of BPM systems. As papers in this track are not expected to propose an immediate application in concrete business environments, empirical evaluation is not required. Instead, determining factors will be their technical quality in terms of computer science standards (e.g., sound formalization, rigorous research method, clear description of the problem tackled and positioning concerning state of the art, convincing argumentation and benefits of the contribution) and the degree to which the developed foundations permit new ways of modelling or analyzing BPM systems. You should send your paper to Track I if one or more of the following applies: It provides foundational insights about the underlying principles and concepts of BPM. It advances state of the art in BPM through the investigation of formal methods and algorithms. It identifies novel problems in BPM and contributes to their definition through languages, architectures, conceptual models, frameworks, patterns and taxonomies for BPM. It demonstrates technical quality and shows how the developed foundations permit new ways of modelling or analyzing BPM systems. Track II: Engineering Track Chair: Manuel Resinas, University of Seville, Spain Track II invites papers that deal with engineering aspects of BPM research. The focus is on the investigation of artefacts and systems that aim to solve concrete problems in business environments. Track II covers tools and techniques for process modelling, the enactment of process models as well as process monitoring and analytics (including process mining techniques). It covers the usage of such artefacts and systems in particular domains, such as digital health, smart mobility, logistics, or smart government. It also covers aspects related to the interaction between processes and software infrastructure and services. All papers in this track must include rigorous and reproducible empirical evaluations that demonstrate the merits of the artefact introduced. A self-critical discussion of limitations and threats to validity is expected. If the artefact is based on Artificial Intelligence (AI) techniques, the contribution cannot be a mere application of existing techniques. Instead, an adequate justification of the adaptations to the AI techniques required in the BPM context should be provided. Formalization of problems and solutions should be used if they add clarity or are beneficial in other ways. You should send your paper to Track II if one or more of the following applies: It proposes a significant contribution in BPM in the form of a novel artefact or system. Its results are empirically evaluated in a rigorous and reproducible manner (reproducibility includes making available the data, code and other relevant aspects of the evaluation). It reports on an artefact or system you designed, with a maturity of at least a prototype, i.e., it can be evaluated in an application context. Track III: Management Track Chair: Mieke Jans, Hasselt University, Belgium Track III invites papers that focus on the socio-technical, cognitive, psychological, managerial and societal aspects of BPM. This includes all techniques, tools, and methods that are employed in and across organisations to better govern business processes. Research papers that are submitted to this track aim to advance our understanding of how process management (and mining) concepts, along with the underlying information systems can deliver business value. In particular, we seek contributions that (1) propose novel organizational and technology-enabled modes of BPM, (2) advance our understanding of how organizations can develop process-oriented capabilities, or (3) examine the (cross-)organizational or managerial impact of novel BPM affordances as well as their context. Areas of interest include, but are not limited to, strategic alignment, governance, methods, information technology, people, and culture; as long as there is a significant link to business process management. Further, all levels of analysis (individual, team, organization, or ecosystem) are welcome. Papers may use various research methodologies, including case study research, action research, experiments, focus group research, survey research, or design science research. Papers will be evaluated according to current management and information systems standards. These include an appropriate motivation and framing of the research study and methodology, rigorous application of the selected research method, convincing argumentation of design choices, positioning against state-of-the-art, and, wherever possible, demonstration of the findings’ applicability and evaluation of the results’ efficacy. You should send your paper to Track III if one or more of the following applies: It tackles an organizational or societal challenge from a process-oriented perspective. It considers all socio-technical aspects: technology, task, and people. It extends the BPM body of knowledge to better contribute to process innovation, process-related digitalization, process analysis, and organizational routines. It builds on and draws from real-world organizational endeavors in BPM.
Last updated by Dou Sun in 2024-01-01
Acceptance Ratio
Year | Submitted | Accepted | Accepted(%) |
---|---|---|---|
2008 | 154 | 26 | 16.9% |
2007 | 152 | 29 | 19.1% |
2006 | 138 | 36 | 26.1% |
2005 | 176 | 37 | 21% |
2004 | 70 | 19 | 27.1% |
2003 | 77 | 25 | 32.5% |
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International Journal of Computer Science Applications & Information Technologies | AR Publication | 2347-453X | ||
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Full Name | Impact Factor | Publisher |
---|---|---|
International Journal of Computer Science Applications & Information Technologies | AR Publication | |
International Journal of Circuit Theory and Applications | 1.800 | Wiley-Blackwell |
Internet and Higher Education | 6.400 | Elsevier |
IEEE Transactions on Computational Social Systems | 4.500 | IEEE |
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization | 1.300 | Taylor & Francis |
IET Computer Vision | 1.500 | IET |
Sustainable Computing | 3.800 | Elsevier |
Memetic Computing | 3.300 | Springer |
Sensors | 3.400 | MDPI |
ACM Transactions on Management Information Systems | 2.500 | ACM |
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