Finding natural groups in data: an application to strategic group research

Graham Leask, Rakesh Bissoondeeal, Jane Binner

Research output: Working paper

Abstract

The best way of finding “natural groups” in management research remains subject to debate and within the literature there is no accepted consensus. The principle motivation behind this study is to explore the effect of choices of method upon strategic group research, an area that has suffered enduring criticism, as we believe that these method choices are still not fully exploited. Our study is novel in the use of a variety of more robust clustering and validation techniques, rarely used in management research, some borrowed from the natural sciences, which may provide a useful and more robust base for this type of research. Our results confirm that methods do exist to address the concerns over strategic group research and adoption of our chosen methods will improve the quality of management research.
Original languageEnglish
Place of PublicationBirmingham (UK)
PublisherAston University
VolumeRP0714
ISBN (Print)978-1-85449-704-8
Publication statusPublished - Apr 2007

Publication series

NameAston Business School research papers
PublisherAston University
No.RP0714

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Bibliographical note

RP0714

Keywords

  • classification
  • numerical taxonomy
  • pharmaceutical industry
  • strategic groups
  • cluster analysis
  • principal components

Cite this

Leask, G., Bissoondeeal, R., & Binner, J. (2007). Finding natural groups in data: an application to strategic group research. (Aston Business School research papers; No. RP0714). Aston University.