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Complex socio-organisational phenomena and ill-defined problem spaces: a multi-method approach to the rescue

Author

Listed:
  • Irena Ali

    (Defence Science and Technology Group)

  • Mathew Zuparic

    (Defence Science and Technology Group)

  • Iain Macleod

    (Defence Science and Technology Group)

  • Phuong La

    (Defence Science and Technology Group)

  • Yi Yue

    (Defence Science and Technology Group)

Abstract

This paper reports on a multi-method (also referred to as mixed method) approach for studying complex socio-organisational phenomena where the problem space is ill-defined, and its utility in providing meaningful decision support to a branch within a military headquarters. The study comprised two phases: diagnostic (I) and intervention (II). The Phase I instruments were an organisation and team effectiveness survey and workforce modelling. Phase II involved a series of workshops situated in sensemaking and complexity theory. Combining the modelling results with qualitative and quantitative data provided by the survey resulted in: capitalisation on the strengths of individual methods while compensating for their weaknesses, a better delineation of issues and understanding of the branch processes, and provision of a solid foundation for design of the intervention workshops. This research design integrates multiple organisational measures to develop instruments suitable for application in other settings where problem definitions are nebulous.

Suggested Citation

  • Irena Ali & Mathew Zuparic & Iain Macleod & Phuong La & Yi Yue, 2017. "Complex socio-organisational phenomena and ill-defined problem spaces: a multi-method approach to the rescue," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 919-934, August.
    • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:8:d:10.1057_s41274-017-0245-0
    DOI: 10.1057/s41274-017-0245-0
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    References listed on IDEAS

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