20th International Conference on Business Process Management (BPM 2022)
Münster, Germany, Sept. 13-15, 2022
https://bpm2022.uni-muenster.de/

== Call for Research 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 system management. The objective is to enhance or refine the existing portfolio of theories, methods and tools for managing and improving business processes.

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 I invites papers that follow computer science research methods, including papers investigating the underlying principles of BPM, computational theories, algorithms, semantics, and methods for modelling, automating and analysing business processes. Track I also covers papers on novel languages, architectures, and other concepts underlying process-aware information systems. Contributions that use conceptual modelling techniques to investigate problems in the design and analysis of BPM systems are sought too. Submissions to Track I are evaluated according to computer science standards, such as sound formalisation, technical rigour, convincing argumentation, and, wherever applicable, a proof-of-concept implementation. The purpose of the software prototype, in case, should be to show that the exposed concepts can be implemented as described. 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 and the degree to which the developed foundations permit new ways of modelling or analysing BPM systems.

You should send your paper to Track I if one or more of the following apply:
- It provides foundational results 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 contributes to the definition of novel concepts, languages, models and architectures for BPM.
- It challenges new problems in BPM through the development of proof-of-concept implementations.

== Track II: Engineering ==

Track II invites papers that deal with engineering aspects of information systems research. The focus is on the investigation of artefacts and systems that aim to solve concrete problems in business environments. Track II covers business process intelligence, including process mining techniques, tools and techniques for process modelling, as well as the enactment of process models, including the interaction with services and deployment architectures. It covers the use of such artefacts and systems in particular domains, such as digital health, smart mobility, logistics, or smart government. All papers in this track must include rigorous and repeatable empirical evaluations that demonstrate the merits of the artefact introduced. Wherever applicable, artefacts should be compared to the state-of-the-art in a reproducible manner. A self-critical discussion of threats to validity is expected. Formalisation 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 apply:
- It proposes a significant contribution in the form of an artefact or system.
- Its results are empirically evaluated in a rigorous and reproducible manner.
- 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 III invites papers that aim to advance our understanding of how BPM can deliver business value (e.g., competitive advantage) by developing process-oriented capabilities to improve, innovate or transform organisations, or to tackle the challenges and opportunities of process-related digitalisation. Papers that examine process thinking, organisational routines, process innovation, or the context-aware impact of BPM methods and tools based on empirical observation are highly welcome. Areas of interest include a wide range of capability areas that are relevant for BPM, such as strategic alignment, governance, methods, information technology, and the related human aspects including people and culture. We seek contributions that advance our understanding of how organisations can develop these process-oriented capabilities to achieve specific objectives, in particular (cross-) organisational settings. Papers may use various strategies of inquiry, including case study research, action research, focus group research, literature review research, survey research, or design-science research. Papers will be evaluated according to current management and information systems standards. These include a rigorous application of the selected research method, proper motivation, convincing argumentation, positioning against state of the art and clear explication, and, wherever possible, demonstration of the findings’ applicability.

You should send your paper to Track III if one or more of the following apply:
- It tackles an organisational challenge/opportunity from a process-oriented perspective.
- It builds on and draws from real-world organisational endeavours in BPM.
- It extends the BPM body of knowledge to better contribute to strategy delivery.
- It advances our understanding and methodology of BPM to support digital innovation.
- It contributes to solving grand societal challenges through BPM.

== Open Science Principles ==

The BPM conference encourages authors of research papers to follow the principles of transparency, reproducibility, and replicability. In particular, the conference supports the adoption of open data and open source principles and encourages authors to disclose (anonymised and curated) data in order to increase reproducibility and replicability.

The evaluation form for research papers will include an item explicitly asking reviewers if the research artefacts (prototypes, interview protocols, questionnaires) or the datasets (used in, or produced by, the empirical evaluation) reported in the paper are available in a suitable form. To this end, authors are asked to include in their manuscript links to private or public repositories where reviewers can find the research artefacts associated with the paper. This information may be included, for example, in a "Data availability" or "Reproducibility" subsection. This requirement does not apply to papers that neither involve an empirical study nor a prototype implementation.

Authors who prefer not to make their research artefacts and datasets accessible to the program committee are asked to comment in their submitted manuscript on why this is not possible, practical, or desirable. This statement may be deleted in the final version of the paper if it gets accepted. Possible reasons may involve privacy restrictions or non-disclosure agreements. While sharing research artefacts is not mandatory for submission or acceptance, the program committee members may use this information to inform their decision.

Authors are encouraged to make the used datasets accessible via public repositories (e.g., Zenodo, Figshare, GitHub, or institutional archives) under an open data license such as the CC0 dedication or the CC-BY 4.0 license. Making datasets available via cloud services such as Dropbox or Google Docs is undesirable given the volatility of the links produced by these services.

We encourage authors to self-archive their pre- and post-prints in open, preserved repositories, such as their institutional preprint repository, arXiv or other non-profit services, in line with Springer’s copyright agreement (see "LNCS Consent to Publish form", §2, available at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).

== Submission ==

Each paper must be submitted to exactly one track. Please use the track descriptions above to decide where to send your paper. Authors may contact track chairs for clarification. Papers must be formatted according to Springer’s LNCS formatting guidelines (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Submissions must be in English and cannot exceed 16 pages. The title page must contain a short abstract clarifying the relation of the paper with the topics above. The paper must clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. Student papers are treated as regular papers in the review process. Importantly, the contribution underlying a student paper must be carried out mainly by the (PhD) student(s), but others (advisors, collaborators, etc.) may appear as authors as well. Student papers must be clearly marked as such in the EasyChair system when submitting the paper. Student papers have to be presented at the conference by a student author to be eligible for the best student paper award.

Papers must be submitted electronically in PDF format via the BPM 2022 EasyChair submission site (https://easychair.org/conferences/?conf=bpm2022).

Submissions must be original contributions that have neither been published previously nor submitted to other conferences or journals while being submitted to BPM 2022.

Accepted papers will be included in the conference proceedings published by Springer in the Lecture Notes in Computer Science (LNCS) series. For each accepted paper, at least one author must register for the conference and present the paper. Authors of selected papers will be invited to submit an extended version to special issues in Elsevier’s Information Systems (Tracks I and II) and in Springer’s Business & Information Systems Engineering (Track III).

Innovative papers which have a high potential of stimulating discussion at the conference but do not fully meet the quality criteria for the main conference will be invited for presentation at the BPM Forum. Those papers will be published in full length in a separate post-proceedings volume in the Lecture Notes in Business Information Processing (LNBIP) series and be presented during the main conference. There will be no short papers.

First-time submitters to BPM may request to be considered for a pre-submission shepherding program. Shepherds are selected BPM PC members who can advise on the presentation and positioning of a paper. Interested candidates are encouraged to contact the PC Chairs by January 26, 2022, at the latest.

== Important Dates ==

Paper submission: 16 March 2022 – 23:59 AoE (NEW: open for revisions until 23 March 2022)
Notification to authors: 18 May 2022
Camera-ready submission: 15 June 2022
Conference: 13-15 September 2022
All deadlines are set to 23:59 Anywhere on Earth (AoE), GMT+12.

== Chairs ==

Stefanie Rinderle-Ma, Technical University of Munich, Germany (Consolidation Chair)
Claudio Di Ciccio, Sapienza University of Rome, Italy (Track Chair, Track I)
Remco Dijkman, Eindhoven University of Technology, Netherlands (Track Chair, Track II)
Adela del Río Ortega, University of Seville, Spain (Track Chair, Track III)