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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), DBLP, EI (Elsevier Engineering Village Index) and Scopus.


RDBPM 2019Special Session on Research and Development on Business Process Management (Cancelled)

Special Session on Research and Development on Business Process Management - RDBPM 2019



Nuno Gonçalves
Superior School of Technology, Polithecnical Institute of Setúbal

Business process management (BPM) is a holistic management approach focused on aligning all aspects of an organization with the wants and needs of clients. During the last years we have been facing major transformations on most IT departments and on the used approaches to achieve those transformations. Modelling processes in organizations have several challenges and quite known problems still to be discussed and solved. BPM is key to obtain higher levels of coordination across the organizations and increase efficiency. Nowadays are emerging new modelling languages for business processes and for enterprise architectures in a broader sense. The combination of traditional Business Process Management techniques with "social" tools and technologies tend to facilitate business improvement efforts. BPM has also a Human-centric approach that considers human skills and activities first and uses automated functions to support them. There is also a focus on Process mining that aims to provide techniques and tools for discovering process, control, data, organizational, and social structures from event logs.