Detecting and tackling run-time obstacles in social business processes
Source of Publication
Proceedings - International Conference on Advanced Information Networking and Applications, AINA
© 2017 IEEE. This paper presents an approach for detecting and tackling obstacles that could fail the execution of social business processes. Existing approaches target regular (non-social) business processes and thus, rely mainly on business logs that contain details such as who executes what, when, and where. However, interactions between a business process's three components namely task, machine, and person, are overlooked. This deprives process engineers from valuable details that could help detect and tackle obstacles. These details refer to task-2-task, machine-2-machine, and person-2-person interactions and are recorded in social logs. Both business and social logs are part of an architecture that includes monitor, solver, and crawler components. A system implementing the architecture is also presented in the paper and illustrates how logs are developed and structured using eXtensible Event Stream format.
Institute of Electrical and Electronics Engineers Inc.
Business | Social and Behavioral Sciences
Business process, Log, Obstacle, Social interaction
Maamar, Zakaria; Sellami, Mohamed; Faci, Noura; and Lefebvre, Sylvain, "Detecting and tackling run-time obstacles in social business processes" (2017). All Works. 1213.
Indexed in Scopus