NDLI: Model While You Work: Towards Effective and Playful Acquisition of Stakeholder Processes

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Model While You Work: Towards Effective and Playful Acquisition of Stakeholder Processes

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Model While You Work: Towards Effective and Playful Acquisition of Stakeholder Processes

Content Provider	ACM Digital Library
Author	Lerchner, Harald Stary, Christian
Abstract	The ability to capture individual process behavior and cover it in form of an equivalent operation support is the basis for organizational adaptation in a highly dynamic business environment. Agile process management and resilient learning are typical examples in that context. Traditional mechanisms capturing process behavior employ an external person, such as a consultant, in order to examine workplace designs and to model business processes. However, the increasing prevalence of stakeholder involvement in workplace design and interactive workflow arrangement has prompted the investigation of instant capture-and-process mechanisms. Their main benefit stems from the capability to support work model articulation and recall, an important feature in stakeholder-driven development of heterogeneous environments. Among the perceived disadvantages of existing process capture-and-process mechanisms are poor performance in seamless execution, and difficulty of use in terms of notations. In this paper we describe an instant capture-and-process mechanism based on subject-orientation: Model While You Work. Experiences with the corresponding tool UeberModel indicate that the perceived disadvantages associated with externally moderated mechanisms can be largely overcome due to its adjacency to actual work procedures, qualifying this approach for distributed process capturing and processing.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781450340717
DOI	10.1145/2882879.2882890
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-04-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Subject-oriented process modeling Knowledge elicitation Domain experts
Content Type	Text
Resource Type	Article

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