Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Soft systems methodology in action
Soft systems methodology in action
The action workflow approach to workflow management technology
CSCW '92 Proceedings of the 1992 ACM conference on Computer-supported cooperative work
ARIS Toolset: a software product is born
Information Systems - Special issue: distributed information systems in business and management
Human performance engineering (3rd ed.): designing high quality professional user interfaces for computer products, applications and systems
Decision support for managing organizational design dynamics
Decision Support Systems
Learning Bayesian networks with local structure
Learning in graphical models
Principles for modelling function allocation
International Journal of Human-Computer Studies - Special issue on function allocation
Requirements analysis for socio-technical system design
Information Systems
ACM Transactions on Information Systems (TOIS)
Domain Theory: Patterns for Knowledge and Software Reuse
Domain Theory: Patterns for Knowledge and Software Reuse
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Aris--Business Process Modeling
Aris--Business Process Modeling
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
Business Process Change: A Manager's Guide to Improving, Redesigning & Automating Process
Business Process Change: A Manager's Guide to Improving, Redesigning & Automating Process
Requirements Engineering for Complex Collaborative Systems
RE '01 Proceedings of the Fifth IEEE International Symposium on Requirements Engineering
Human performance and embedded intelligent technology in safety-critical systems
International Journal of Human-Computer Studies - Special issue: Trust and technology
Unifying business objects and system dynamics as a paradigm for developing decision support systems
Decision Support Systems
Inference in hybrid Bayesian networks using dynamic discretization
Statistics and Computing
Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks
IEEE Transactions on Knowledge and Data Engineering
Protos 7.0: simulation made accessible
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
Recursive noisy OR - a rule for estimating complex probabilistic interactions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A strategy for evaluating alternative information system designs for business process reengineering
International Journal of Information Management: The Journal for Information Professionals
Path analysis of IT application maturity
International Journal of Networking and Virtual Organisations
Sustainability modelling and reporting: From roadmap to implementation
Decision Support Systems
| Hi-index | 0.00 |
This paper describes a socio-technical approach to business process redesign through the investigation of complex interactions and dependencies among humans and IT systems of organisations. The focus is on the need to assess business process performance early in the redesign process, to prevent organisational failures. The method is based on human performance quantification and is supported by a tool that enables scenario-based evaluation of prospective organisational processes through simulation. The approach combines probabilistic and subjective measures of tasks and communication acts in business processes to quantify business performance in terms of cycle time. The approach models business processes as a set of scenarios of sequential activities where the dependencies between actors, IT systems and tasks are explicitly defined. Business process performance assessment is achieved through a systematic walkthrough of the process model using these scenarios. Human performance constitutes an important parameter to business process performance and is modelled based on Human Performance Shaping Factors (PSF) and assessed using Bayesian Belief Networks (BBN). Process cycle time is calculated using aggregates of task and communication completion times, and calibrated using performance estimates of each of the agents in the scenario. The method enables trade-off analysis among candidate process models and identification of performance bottlenecks early in the design phase. A radiology process improvement case study is presented that demonstrates the use of the method and the tool.