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BPM 2017 : Business Process Management


Conference Series : Business Process Management
When Sep 10, 2017 - Sep 15, 2017
Where Barcelona, Spain
Abstract Registration Due Mar 6, 2017
Submission Deadline Mar 13, 2017
Notification Due May 15, 2017
Final Version Due Jun 12, 2017
Categories    business process   information systems

Call For Papers

The annual BPM conference is the premium forum for researchers, practitioners and developers in the field of Business Process Management (BPM). The objective is to explore and exchange knowledge in this field through scientific talks, industry discussions, technical tutorials and panels. The conference covers all aspects of BPM research and practice, including theory, management, applications and technology, and brings together the most renowned representatives of the BPM community worldwide from academia and industry.

-BPM -is a scientific field and as an industry practice that has significantly matured and increased its span in the last decade Fostering true innovation rather than only incremental change, capitalizing on big data opportunities and accounting for processes that are increasingly flexible and generative rather than structured and stable, are some of the challenges that BPM is facing in order to establish its firm position within organizations.

These challenges add to existing areas of interest and relevance to BPM research and industry. They also attest to an increasingly interdisciplinary nature of BPM, which transcends its original scope at the intersection of information technology, organizational management and industrial engineering, to embrace other disciplines such as behavioral science, big data, operations management, social computing, cloud computing, theory of processes and many more.

BPM 2017 will take place in Barcelona, a cultural and shopping metropolis near the sea that offers a wide variety of attractions. Apart from the world famous buildings from Gaudíe.g., Sagrada Familia, Pedrera and Parc Güell, Barcelona offers unique museums from world-class artists like Picasso, Miró and Tàpies. BPM 2017 will feature a rich program including a dedicated research track, an industry track, a forum track, a demonstration track, tutorials and panels, and a varied set of workshops and co-located events.

BPM 2017 explicitly encourages papers that report on interdisciplinary aspects of BPM and on research in emerging BPM areas, as well as papers that advance knowledge in the areas of business process analysis and improvement. The thematic areas reflect these interests besides those in traditional BPM topics such as process modeling and execution. Submissions from industry or industrial research labs are encouraged, provided they fulfil the scientific rigor expected from any other paper submitted to the research track.

A separate industry track will host papers that specifically report on problems and experiences related to the deployment of BPM methods and tools in practice. These papers will be reviewed by a separate committee including representatives from industry, and assessed on the basis of their practical relevance rather than their scientific merit. More information can be found on the industry track page.

The thematic areas of the research track in which contributions are sought include, but are not limited to, those listed below. Submissions may fit more than one category, however, corresponding authors will be asked to nominate one primary category. Each major topic is championed by senior PC members who will promote the topic and lead the review processes taking into consideration the characteristics of the particular thematic area.

*** BPM in a broader context

Decision management (e.g. DMN)
Events handling
Enterprise architecture
Automated planning
Scientific workflows
Software process management
X-aware BPM (e.g. risk-aware, security-aware, cost-aware, green-aware)
Operations research for business processes
Selected application domains (e.g. healthcare, financial, government)
Role of BPM in related fields (e.g. logistics, supply-chain management, manufacturing, complex event processing)

*** Emerging areas of BPM

Social BPM
Cloud computing
Collaborative business process management
Human-centric processes and knowledge-intensive processes
Processes in the Internet of Things and Wearable devices
Mobile processes
Processes in Collective Adaptive Systems

*** Management aspects of BPM

Lifecycle management
Strategic alignment and governance
People and culture
Maturity: success factors and measures
Customer process management
Adoption and practice
Process change management
Other organizational management disciplines (e.g. project management, risk management, IT governance)

*** Process identification and modeling foundations

Process architectures and value chains
Reference process models
Process modeling approaches and languages (imperative, declarative, non-visual, holistic)
Process model quality (verification, validation, certification)
Foundations of process design
Formal methods
Management of process model collections (e.g. querying, refactoring, similarity search, versioning)
Process variability and configuration
Artefact-centric processes
Processes and Uncertainty
Vertical or horizontal process Integration

*** Process analysis and improvement

Qualitative and quantitative process analysis (e.g. process simulation)
Incremental process improvement
Transformational process change
Process innovation
Customer-centric process redesign
Other process improvement disciplines (e.g. Lean management, Six Sigma, Total Quality Management)

*** Process execution, monitoring and intelligence

Process execution architectures
BPM and WFM systems
Case management
Adaptive and context-aware process execution
Management of process execution aspects (e.g. resources, data)
Process dashboards, analytics and visualization of big process data
Process mining methods (automated discovery, conformance checking, performance mining, deviance and variants mining, operational support)
Process mining (from multi-perspectives) and parallel processing
Process compliance (run-time and post-mortem)
Process data integration and data quality

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