Articles producció científica> Gestió d'Empreses

DETECTION AND ASSESSMENT OF CAUSES IN BUSINESS DIAGNOSIS

  • Dades identificatives

    Identificador: imarina:5129445
    Autors:
    Scherger, ValeriaTerceno, AntonioVigier, HernanGloria Barbera-Marine, M
    Resum:
    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.
  • Altres:

    Autor segons l'article: Scherger, Valeria; Terceno, Antonio; Vigier, Hernan; Gloria Barbera-Marine, M
    Departament: Gestió d'Empreses
    Autor/s de la URV: Barberà Mariné, Maria Glòria / Terceño Gómez, Antonio / Vigier, Hernan Pedro
    Paraules clau: Fuzzy relations Balanced scorecard
    Resum: 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.
    Àrees temàtiques: Mathematics, interdisciplinary applications Economics and econometrics Economics Computer science applications Ciencias sociales Applied mathematics
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: hernanpedro.vigier@urv.cat gloria.barbera@urv.cat gloria.barbera@urv.cat antonio.terceno@urv.cat antonio.terceno@urv.cat
    Identificador de l'autor: 0000-0003-2578-1301 0000-0003-2578-1301 0000-0001-5348-8837 0000-0001-5348-8837
    Data d'alta del registre: 2024-09-07
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: http://www.ecocyb.ase.ro/nr20154/13%20-%20Scherger%20Valeria.pdf
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Economic Computation And Economic Cybernetics Studies And Research. 49 (4): 211-229
    Referència 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
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2015
    Tipus de publicació: Journal Publications
  • Paraules clau:

    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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