Dynamic context-aware Business Process flexibility: an artefact-based approach using process mining

2011 ◽  
Vol 6 (4) ◽  
pp. 345
Author(s):  
Mounira Zerari ◽  
Mahmoud Boufaida
Keyword(s):  
Business Process ◽  
Process Mining ◽  
Context Aware ◽  
Process Flexibility ◽  
Dynamic Context

scholarly journals Dynamic context-aware business process

2010 ◽  
Author(s):  
Jose F. Mejia Bernal ◽  
Paolo Falcarin ◽  
Maurizio Morisio ◽  
Jia Dai
Keyword(s):  
Business Process ◽  
Context Aware ◽  
Dynamic Context

scholarly journals Context-Aware Business Process Management

2021 ◽  
Author(s):  
Jan vom Brocke ◽  
Marie-Sophie Baier ◽  
Theresa Schmiedel ◽  
Katharina Stelzl ◽  
Maximilian Röglinger ◽  
...  
Keyword(s):  
Business Process ◽  
Process Design ◽  
Context Awareness ◽  
Business Process Management ◽  
Process Management ◽  
Design Science ◽  
Status Quo ◽  
Context Aware ◽  
The Status ◽  
Successful Business

AbstractContext awareness is essential for successful business process management (BPM). So far, research has covered relevant BPM context factors and context-aware process design, but little is known about how to assess and select BPM methods in a context-aware manner. As BPM methods are involved in all stages of the BPM lifecycle, it is key to apply appropriate methods to efficiently use organizational resources. Following the design science paradigm, the study at hand addresses this gap by developing and evaluating the Context-Aware BPM Method Assessment and Selection (CAMAS) Method. This method assists method engineers in assessing in which contexts their BPM methods can be applied and method users in selecting appropriate BPM methods for given contexts. The findings of this study call for more context awareness in BPM method design and for a stronger focus on explorative BPM. They also provide insights into the status quo of existing BPM methods.

Context aware Hidden Markov Model for Intention process mining

2021 ◽  
Author(s):  
Imane Choukri ◽  
Hatim Guermah ◽  
Abdelmajid Daosabah ◽  
Mahmoud Nassar
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Process Mining ◽  
Hidden Markov ◽  
Context Aware
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