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 | Social and Behavioral Sciences

Keywords

Business process, Log, Obstacle, Social interaction

Scopus ID

85019715770

Indexed in Scopus

yes

Open Access

no

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