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Meta-calculations of Quantitative SWOT Analysis: A Crosstab Approach

Peter J. Stavroulakis, Elena Riza

Abstract: Even within the evolution of the discipline of strategic management, its core concepts and their respective importance remain unchanged.  Amongst these practical instruments, that of situation analysis stands out as dominant, for it pertains to the first step towards the materiality of any venture.  Only if our environment is taken under consideration can our venture hope to be viable and this exactly is the promise of effective situation analysis, that through the accurate representation of our strengths and weaknesses can we grasp opportunities and walk away from threats.  A resilient technique for situation analysis is the consolidation of strategic factors among four particular groups that is known as SWOT analysis; to this day its origin remains obscure, though its prevalence has remained uncontested for more than fifty years.  Though the utility of the SWOT inventory is indisputable, the instrument does hold two main limitations, that of arbitrary selection of strategic factors and their relative ranking.  To mitigate these issues, several quantitative methodologies have been proposed over the years.  This work proposes the extraction of a methodological instrument utilized extensively within epidemiology and its fusion with a quantitative SWOT inventory that has rendered a numeric result for each particular attribute.  Through this fusion, a novel analytical perspective is introduced, that assists the extension of our analytical insight.

Additional Info

  • Author(s) Name: Peter J. Stavroulakis[1], Elena Riza[1]
  • Author(s) Affiliation: [1]Department of Hygiene, Epidemiology & Medical Statistics, Medical School of the National & Kapodistrian University of Athens, Greece
  • Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Keywords: Strategic management, crosstab, SWOT analysis, meta-calculation, quantitative SWOT
  • Article Type: Research
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