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Pacific Rim Knowledge Acquisition Workshop

PKAW 2012: Knowledge Management and Acquisition for Intelligent Systems pp 343–349Cite as

Workflow Knowledge Sharing through Social Networks

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7457))

Abstract

Social Network Analysis provides the researcher a means to interpret relationships and in turn the flow of information. What has been less well researched is how such analysis may be used to interpret workflows or business processes and potentially lead to their improvement. This research-in-progress paper explores the comparatively fine-grained social interactions of employees in a company in Sydney. One particular workplace process, namely the use of Oracle Primavera P6 is examined. Following such an approach, attention is turned to exploring the working relationships of employees through Social Network Analysis to determine the closeness of fit of employees against the workflows officially established by management. Such a combination of techniques extends the toolkit of methodological approaches in this space, and from a more practical viewpoint permits the process improvement workflow manager to consider how well matched employees are to their workflows.

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Author information

Authors and Affiliations

  1. Department of Computing, Macquarie University, NSW, 2109, Australia

    Peter Busch & Amireh Amirmazaheri

Authors
  1. Peter Busch
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  2. Amireh Amirmazaheri
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Editor information

Editors and Affiliations

  1. Department of Computing, Macquarie University, 2109, North Ryde, NSW, Australia

    Deborah Richards

  2. School of Computing and Information Systems, University of Tasmania, 7000, Hobart, Tasmania, Australia

    Byeong Ho Kang

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© 2012 Springer-Verlag Berlin Heidelberg

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Busch, P., Amirmazaheri, A. (2012). Workflow Knowledge Sharing through Social Networks. In: Richards, D., Kang, B.H. (eds) Knowledge Management and Acquisition for Intelligent Systems. PKAW 2012. Lecture Notes in Computer Science(), vol 7457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32541-0_30

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  • DOI: https://doi.org/10.1007/978-3-642-32541-0_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32540-3

  • Online ISBN: 978-3-642-32541-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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