Title

Detecting and tackling run-time obstacles in social business processes

Document Type

Conference Proceeding

Source of Publication

Proceedings - International Conference on Advanced Information Networking and Applications, AINA

Publication Date

5-5-2017

Abstract

© 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.

ISBN

9781509060283

ISSN

1550-445X

Publisher

Institute of Electrical and Electronics Engineers Inc.

First Page

371

Last Page

378

Disciplines

Business

Keywords

Business process, Log, Obstacle, Social interaction

Scopus ID

85019715770

Indexed in Scopus

yes

Open Access

no

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