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BPM 2017 : Business Process ManagementConference Series : Business Process Management | |||||||||||||||||
Link: https://bpm2017.cs.upc.edu | |||||||||||||||||
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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 Auditing 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 Crowdsourcing 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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