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Facilitating Enhanced Decision Support Using a Social Norms Approach
- Source :
- Journal of Electronic Commerce in Organizations. 15:1-15
- Publication Year :
- 2017
- Publisher :
- IGI Global, 2017.
-
Abstract
- Social norms constrain behavior of individuals either through obligating or prohibiting certain types of behavior. Norm-based mechanisms have only recently found applications in enhancing decisions of knowledge workers in an automated business process management context. The norms inferred in the context of business process executions are then recommended to users so as to enable them to make informed decisions. The previous work on prohibition norm inference focused on identifying failure cases, which is now complemented by first inferring norms from the successful process execution cases and then inferring prohibition norms. This approach based on considering social feedback (i.e. inferring what is obliged and prohibited from history logs of process execution) shows encouraging results under uncertain business environments. Using simulation results the paper demonstrates that using the norm based mechanism results in reduced failure rates in the decision making of a knowledge worker while still providing maximum flexibility for the user to choose from a range of actions to execute.
- Subjects :
- Decision support system
Process automation
Knowledge management
Computer Networks and Communications
Computer science
Business process
Strategy and Management
Inference
Process mining
02 engineering and technology
Business process management
Social norms approach
Knowledge worker
Human interaction
020204 information systems
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
Marketing
Norm inference
business.industry
05 social sciences
658.5: Produktionssteuerung
Decision support
Computer Science Applications
020201 artificial intelligence & image processing
Norm (social)
business
050203 business & management
Subjects
Details
- ISSN :
- 15392929 and 15392937
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Journal of Electronic Commerce in Organizations
- Accession number :
- edsair.doi.dedup.....7c888a925e5afb5ec2191907b4ae3fae
- Full Text :
- https://doi.org/10.4018/jeco.2017040101