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Improving Strategic Scanning Information Analysis: An Alternative Measure for Information Proximity Evaluation

Author

Listed:
  • Annette Casagrande

    (UGA [2016-2019] - Université Grenoble Alpes [2016-2019], CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

  • Edison Loza Aguirre

    (UGA [2016-2019] - Université Grenoble Alpes [2016-2019], CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

  • Laurent Vuillon

    (LAMA - Laboratoire de Mathématiques - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc - CNRS - Centre National de la Recherche Scientifique)

Abstract

Strategic Scanning activities become less effective when faced with managing information overload. This paper introduces "nearness measure" (NM), a measure for information proximity evaluation. We also present and analyze the principles and properties of a graphical representation of the measure. We compare the measure to the usual Cosine similarity (CS). Even when the algorithm that calculates NM between texts is larger than CS in terms of complexity, NM with a minimization phase expresses an analysis of the documents from the general to the specific that is the opposite to what CS does. Thus, the manager using NM would require less time to explore collected information.

Suggested Citation

  • Annette Casagrande & Edison Loza Aguirre & Laurent Vuillon, 2015. "Improving Strategic Scanning Information Analysis: An Alternative Measure for Information Proximity Evaluation," Post-Print halshs-01545774, HAL.
    • Handle: RePEc:hal:journl:halshs-01545774
    DOI: 10.1109/ES.2015.8
    as

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