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Verifying the Miles and Snow strategy types in Australian small- and medium-size enterprises/ created by Karen Blackmore and Keith Nesbitt

By: Contributor(s): Material type: TextTextSeries: Australian journal of management ; Volume 38, number 1Los Angeles : Sage, 2013Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISSN:
  • 03128962
Subject(s): LOC classification:
  • HD31 AUS
Online resources: Abstract: In this paper we set out to verify the existence of Miles and Snow strategy types in Australian small- and medium-size enterprises (SMEs) through objective classification. Australian SMEs, in particular, are interesting as they are reported to have some unique characteristics, with as many as 70% following a low growth or life-style pathway. While numerous empirical studies have been conducted to validate the existence and characteristics of the Miles and Snow strategy types in different domains for both larger and smaller enterprises, these studies typically rely on a subjective, ‘self-typing’ approach. In this study we employ a more objective approach by identifying measures from existing survey data that capture the strategic dimensions proposed by Miles and Snow. We use these objective measures in a K-means cluster analysis to identify four different strategic groups. Three of the groups correspond to the three ‘viable’ Miles and Snow strategy types of Defender, Prospector and Analyser; however, we also identify a ‘Static’ strategy type that constitutes 42% of SMEs in the sample.
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Item type Current library Call number Vol info Status Notes Date due Barcode
Journal Article Journal Article Main Library - Special Collections HD31 AUS (Browse shelf(Opens below)) Vol. 38, no.1 (pages 171-190) Not for loan For in house use only

In this paper we set out to verify the existence of Miles and Snow strategy types in Australian small- and medium-size enterprises (SMEs) through objective classification. Australian SMEs, in particular, are interesting as they are reported to have some unique characteristics, with as many as 70% following a low growth or life-style pathway. While numerous empirical studies have been conducted to validate the existence and characteristics of the Miles and Snow strategy types in different domains for both larger and smaller enterprises, these studies typically rely on a subjective, ‘self-typing’ approach. In this study we employ a more objective approach by identifying measures from existing survey data that capture the strategic dimensions proposed by Miles and Snow. We use these objective measures in a K-means cluster analysis to identify four different strategic groups. Three of the groups correspond to the three ‘viable’ Miles and Snow strategy types of Defender, Prospector and Analyser; however, we also identify a ‘Static’ strategy type that constitutes 42% of SMEs in the sample.

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