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Comuzzi, Marco
Intelligent Enterprise Lab.
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Role and Task Recommendation and Social Tagging to Enable Social Business Process Management

Author(s)
Rangiha, Mohammad EhsonComuzzi, MarcoKarakostas, Bill
Issued Date
2015-05-27
URI
https://scholarworks.unist.ac.kr/handle/201301/39795
Fulltext
http://link.springer.com/chapter/10.1007%2F978-3-319-19237-6_5
Citation
16th Business Process Modeling, Development, and Support Working Conference (BPMDS) in conjunction with CAiSE'15, pp.68 - 82
Abstract
Traditional Business Process Management (BPM) poses a number of limitations for the management of ad-hoc processes, where the execution paths are not designed a priori and evolve during enactment. Social BPM, which predicates to integrate social software into the BPM lifecycle, has emerged as an answer to such limitations. This paper presents a framework for social BPM in which social tagging is used to capture process knowledge emerging during the enactment and design of the processes. Process knowledge concerns both the type of activities chosen to fulfil a certain goal and the skills and experience of users in executing specific tasks. Such knowledge is exploited by recommendation tools to support the design and enactment of future process instances. We first provide an overview of our framework, introducing the concepts of role and task recommendations, which are supported by social tagging. These mechanisms are then elaborated further by an example. Eventually, we discuss a prototype of our framework enabling collaborative process design and execution.
Publisher
BPMDS
ISBN
978-3-319-19236-9

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