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Innovation in strategic planning through fuzzy methodologies: a study of the industrial context of Bogota, Colombia during COVID-19

Author

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  • Fabio Blanco-Mesa
  • Ernesto León-Castro

Abstract

The paper analyses the strategic planning in the industrial context of Bogota, Colombia during COVID-19. Because of the different perspectives and subjectivity of the topic, the objective is to use an innovative methodology based on different multi-criteria decision-making (MCDM) characteristics and fuzzy logic to analyse the problem. The methodologies used were the Bonferroni ordered weighted average (OWA) operator and the Pitchat algorithm. The study was based on five sectors with seven strategic scopes. Among the main results was possible to visualise that all the sectors find the most important scope in marketing and the less important scope in Formalisation. Finally, some specific analyses of the results for each sector are presented to visualise how the scopes of the strategic planning can change depending on the sector.

Suggested Citation

  • Fabio Blanco-Mesa & Ernesto León-Castro, 2024. "Innovation in strategic planning through fuzzy methodologies: a study of the industrial context of Bogota, Colombia during COVID-19," International Journal of Business Environment, Inderscience Enterprises Ltd, vol. 15(3/4), pages 338-357.
    • Handle: RePEc:ids:ijbenv:v:15:y:2024:i:3/4:p:338-357
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