Process Design for Decision Making

Overview

Project status: In progress

When seeking to redesign business processes, analysts use graphical models of their business processes to make decisions about where, how and why changes to the processes should be enacted.

Any decision made on the basis of process models is susceptible to their quality. Thus, analysts require principles that guide them in conceiving usable models of business processes.Such principles are only scarcely available and not based on comprehensive theoretical research.

http://www.janrecker.com/process-design-for-decision-making/

Grantor

This project is sponsored by an ARC Discovery Early Career Research Award (DE120100776).

Research leader
Organisational unit
Lead unit Science and Engineering Faculty
Research area
Information Systems
Keywords
decra, jan recker, business process, bpm, redesign business process, process model

Contact

For further information contact Jan Recker.

 

Details

When seeking to redesign business processes, analysts use graphical models of their business processes to make decisions about where, how and why changes to the processes should be enacted. Any decision made on the basis of process models is susceptible to their quality. Thus, analysts require principles that guide them in conceiving usable models of business processes. Such principles are only scarcely available and not based on comprehensive theoretical research.

This project aims to address the gap of support through developing a body of knowledge about factors and consequences of process model quality for decision-making; and practical guidelines based on empirical insights to guide the creation of process models fit for decision-making.

This project will develop guidelines to assist analysts in describing business processes by identifying theoretical factors of process model quality. The outcomes will make it easier to make informed decisions about process re-design, business innovation or software development, thus contributing to project cost savings and better processes.

Publications and output

Mendling, J., Strembeck, M., Recker, J. (2012): Factors of Process Model Comprehension – Findings from a Series of Experiments. Decision Support Systems, Vol. 53, No.1, pp. 195-206.