Track: Quality Aspects in Business Processes

Organizations can obtain a holistic view of their business by identifying and studying the processes carried out within them. The quality of the business or the service provided to the customer greatly depends on the quality of the management of the processes as well as of their execution itself.

Quality aspects can be incorporated in all the phases of the lifecycle of a business process, such that good quality process discovery and modeling techniques and notations may derive in more complete and valid process models; proper process analyses aligned with well-­‐defined key performance indicators (KPI) might improve process-­‐related aspects such as time, cost, quality, flexibility; and an efficient and effective process implementation and deployment in a process-­‐aware information system (PAIS) will enable process automation and control as well as it will generate the event logs required for subsequent analyses, usually performed with process mining techniques.

Besides, process quality has to do with any business process perspective and organizational element involved in it, such as quality in the execution of the process activities, quality of the data handled in the process instances and produced as a result of process monitoring, quality in the way organizational resources are allocated to tasks, and quality in terms of compliance with business rules and regulations.

Topics

This track aims to investigate all the factors that influence process quality. The topics of interest for the track include but are not restricted to:

  • Process model quality
  • KPI management in business processes
  • Quantitative process improvement
  • Qualitative process improvement
  • Business process redesign
  • Data quality in business processes
  • Business process compliance
  • Blockchain technologies for optimized process execution
  • Business process quality understanding
  • Quality prediction in business processes

Track Chairs

  • Andrea Delgado, Universidad de la República, Uruguay
  • Cristina Cabanillas, Vienna University of Economics and Business, Austria


Program Committee

  • Michael Arias, University of Costa Rica, Costa Rica
  • Fabio Casati, University of Trento, Italy
  • Bart F. A. Hompes, Eindhoven University of Technology, The Netherlands
  • Jan Mendling, Vienna University of Economics and Business, Austria
  • Marco Montali, Free University of Bozen-Bolzano, Italy
  • Adrian Mos, Naver LABS Europe, France
  • Manfred Reichert, Ulm University, Germany
  • Adela del-Río-Ortega, University of Seville, Spain
  • Flavia Santoro, Universidade Federal do Estado do Rio de Janeiro, Brazil
  • Marcos Sepúlveda, Pontificia Universidad Católica de Chile, Chile
  • Minseok Song, Pohang University of Science and Technology, South Korea
  • Barbara Weber, Technical University of Denmark, Denmark
  • Geert Poels, Ghent University, Belgium
  • Francisco Ruiz González, Universidad de Castilla-La Mancha, Spain
  • Andrea Delgado, Universidad de la República, Uruguay


  • Andrea Delgado, Universidad de la República, Uruguay


Dr. Cristina Cabanillas is a post-doctoral researcher and lecturer at the Institute for Information Business of the Vienna University of Economics and Business (Austria). She received her Ph.D in 2012 at the University of Seville (Spain) with research results on human resource management in business processes. Prior to that she completed a degree on Computer Science with honors at the University of Extremadura, Spain (2008) and an M.Sc. on Software Engineering and Technology (2010) at the University of Seville (Spain).

She has participated in many R&D projects, has experience as a reviewer in top international conferences and journals, and has chaired several workshops and conference tracks. She is currently coordinating the FWF PRAIS project on process- and resource-aware information systems, and she is taking part in the organization of the 17th International Conference on Business Process Management (BPM 2019).