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DETECTION AND ASSESSMENT OF CAUSES IN BUSINESS DIAGNOSIS

  • Datos identificativos

    Identificador: imarina:5129445
    Autores:
    Scherger, ValeriaTerceno, AntonioVigier, HernanGloria Barbera-Marine, M
    Resumen:
    In this paper is proposed a contribution to the firm's diagnosis analysis, specifically in the detection and valuation of causes in firms, using a fuzzy diagnosis approach and the Balanced Scorecard theory (BSC). Through the BSC as a starting point, is proposed a specific vademécum of causes that generate firm's problems. This list of causes can also be grouped into key areas for an easier monitoring. The assessment proposal through the fuzzy methods allows formalizing the expert's opinions, reducing subjectivity and working with multiple variables. These opinions are translated into linguistic labels that represent the incidence of each cause or problem. The analysis of causes can be applied to any business or industry with the necessary adjustments because is a result of a screening through the Balanced Scorecard that summarize all the dimensions of the company. This allows the estimation of the membership matrix of causes, as first step in firm's economic-financial diagnosis.
  • Otros:

    Autor según el artículo: Scherger, Valeria; Terceno, Antonio; Vigier, Hernan; Gloria Barbera-Marine, M
    Departamento: Gestió d'Empreses
    Autor/es de la URV: Barberà Mariné, Maria Glòria / Terceño Gómez, Antonio / Vigier, Hernan Pedro
    Palabras clave: Fuzzy relations Balanced scorecard
    Resumen: In this paper is proposed a contribution to the firm's diagnosis analysis, specifically in the detection and valuation of causes in firms, using a fuzzy diagnosis approach and the Balanced Scorecard theory (BSC). Through the BSC as a starting point, is proposed a specific vademécum of causes that generate firm's problems. This list of causes can also be grouped into key areas for an easier monitoring. The assessment proposal through the fuzzy methods allows formalizing the expert's opinions, reducing subjectivity and working with multiple variables. These opinions are translated into linguistic labels that represent the incidence of each cause or problem. The analysis of causes can be applied to any business or industry with the necessary adjustments because is a result of a screening through the Balanced Scorecard that summarize all the dimensions of the company. This allows the estimation of the membership matrix of causes, as first step in firm's economic-financial diagnosis.
    Áreas temáticas: Mathematics, interdisciplinary applications Economics and econometrics Economics Computer science applications Ciencias sociales Applied mathematics
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: hernanpedro.vigier@urv.cat gloria.barbera@urv.cat gloria.barbera@urv.cat antonio.terceno@urv.cat antonio.terceno@urv.cat
    Identificador del autor: 0000-0003-2578-1301 0000-0003-2578-1301 0000-0001-5348-8837 0000-0001-5348-8837
    Fecha de alta del registro: 2024-09-07
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Economic Computation And Economic Cybernetics Studies And Research. 49 (4): 211-229
    Referencia de l'ítem segons les normes APA: Scherger, Valeria; Terceno, Antonio; Vigier, Hernan; Gloria Barbera-Marine, M (2015). DETECTION AND ASSESSMENT OF CAUSES IN BUSINESS DIAGNOSIS. Economic Computation And Economic Cybernetics Studies And Research, 49(4), 211-229
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2015
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Applied Mathematics,Computer Science Applications,Economics,Economics and Econometrics,Mathematics, Interdisciplinary Applications
    Fuzzy relations
    Balanced scorecard
    Mathematics, interdisciplinary applications
    Economics and econometrics
    Economics
    Computer science applications
    Ciencias sociales
    Applied mathematics
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