Business process management with the user requirements notation

  • Authors:

  • Alireza Pourshahid;Daniel Amyot;Liam Peyton;Sepideh Ghanavati;Pengfei Chen;Michael Weiss;Alan J. Forster

  • Affiliations:

  • School of Information Technology and Engineering (SITE), University of Ottawa, Ottawa, Canada K1N 6N5;School of Information Technology and Engineering (SITE), University of Ottawa, Ottawa, Canada K1N 6N5;School of Information Technology and Engineering (SITE), University of Ottawa, Ottawa, Canada K1N 6N5;School of Information Technology and Engineering (SITE), University of Ottawa, Ottawa, Canada K1N 6N5;Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada K1S 5B6;Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada K1S 5B6;Department of Medicine, University of Ottawa, Ottawa, Canada and Ottawa Health Research Institute, Clinical Epidemiology Program, Ottawa Hospital, Ottawa, Canada K1Y 4E9

  • Venue:
  • Electronic Commerce Research
  • Year:
  • 2009

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Abstract

A number of recent initiatives in both academia and industry have sought to achieve improvements in e-businesses through the utilization of Business Process Management (BPM) methodologies and tools. However there are still some inadequacies that need to be addressed when it comes to achieving alignment between business goals and business processes. The User Requirements Notation (URN), recently standardized by ITU-T, has some unique features and capabilities beyond what is available in other notations that can help address alignment issues. In this paper, a URN-based framework and its supporting toolset are introduced which provide business process monitoring and performance management capabilities integrated across the BPM lifecycle. The framework extends the URN notation with Key Performance Indicators (KPIs) and other concepts to measure and align processes and goals. An example process for controlling access to a healthcare data warehouse is used to illustrate and evaluate the framework. Early results indicate the feasibility of the approach.