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Ascertaining a hierarchy of dimensions from time-poor experts : linking tactical vignettes to strategic scenarios

journal contribution
posted on 06.12.2017, 00:00 by B Pincombe, Sarah BlundenSarah Blunden, A Pincombe, P Dexter
Many organisations define or express their strategic direction through strategic scenarios, which typically lack the detail for operational or tactical decisions. However such decisions need to be consistent with the organisation's overall strategic direction. We present a method for defining a dimensional hierarchy of important variables at the strategic, operational and tactical levels and illustrate this method with a case study. Achieving a set of dimensions as comprehensive as possible requires the saturation of ideas from all relevant expert groups. Unfortunately, access to experts may be limited and sporadic. We facilitate expert participation through an online, iterative, Delphi-like structured group technique allowing asynchronous access from many separate locations. Inter-round thematic analysis removes duplicate argumentation, standardises language conventions and builds a hierarchy of important variables: strategic dimensions; operational components; and tactical elements. Iteration allows experts to assess and alter these themes. Anonymity and thematic de-duplication allow merit-based discussion by masking the status and numbers of advocates. In our case study, sixty-nine experts developed a hierarchical dimensionalisation of future Australian Army deployment contexts over three rounds with a total median time commitment of less than 3 h per expert.

Funding

Category 3 - Industry and Other Research Income

History

Volume

80

Issue

4

Start Page

584

End Page

598

Number of Pages

15

ISSN

0040-1625

Location

United States

Publisher

Elsevier

Language

en-aus

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Appleton Institute for Behavioural Sciences; Land Operations Division; Not affiliated to a Research Institute;

Era Eligible

Yes

Journal

Technological Forecasting and Social Change