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Can ’Soft’ Organisational Problems Be Solved by ’Hard’ Process Reference Models?

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Part of the Communications in Computer and Information Science book series (CCIS,volume 349)

Abstract

Process Reference Models (PRM) and their associated Assessment Models (PAM) are best known for their application to well-defined input-process-output work-flows in the Systems and Software Engineering domains. Model-based process improvement (MBPI) is now well-established as a discipline within that domain. Arguably though, MBPI can be applied successfully to multiple domains. The question has been to find a way. This paper discusses a mature Process Reference Model and Assessment Model for the leadership of complex virtual teams, developed in accordance with the recognized standards (ISO/IEC 15504 [8] and ISO/IEC 24774 [9]), yet which is applied to difficult ‘soft’ organisational problems. Earlier work on this topic focused on how to develop a PRM in soft, organisational contexts [1]. This paper focuses on the derived Process Assessment Model which has had a three-level Capability Dimension added to the existing Performance Dimension, and with associated work-products identified. It reports on preliminary trials at Griffith University.

Keywords

  • Process Assessment Model
  • Process Reference Model
  • Leadership
  • Reference Model of Organizational Behavior
  • ISO/IEC 15504
  • ISO/IEC 24774

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References

  1. Tuffley, D.J.: Reference Models of Organisational Behavior: A new category of Process Reference Model. In: Proceedings of 10th International SPICE Conference 2010: Process Improvement and Capability Determination in Software, Systems Engineering and Service Management, Edizioni ETS, Pisa, Italy (2010)

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Tuffley, D. (2013). Can ’Soft’ Organisational Problems Be Solved by ’Hard’ Process Reference Models?. In: Woronowicz, T., Rout, T., O’Connor, R.V., Dorling, A. (eds) Software Process Improvement and Capability Determination. SPICE 2013. Communications in Computer and Information Science, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38833-0_15

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  • DOI: https://doi.org/10.1007/978-3-642-38833-0_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38832-3

  • Online ISBN: 978-3-642-38833-0

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