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Finding Business Failure Reasons Through A Fuzzy Model Of Diagnosis

Author

Listed:
  • Scherger, Valeria

    (Economics Department, Universidad Nacional del Sur)

  • Vigier, Hernán

    (Economics Department, Universidad Nacional del Sur – CEDETS – UPSO)

  • Barberà-Mariné, M. Glòria

    (Department of Business Management, Faculty of Business and Economics, Universitat Rovira i Virgili)

Abstract

The aim of this paper is to find the causes of the failure and diagnose a group of small and medium-sized enterprises (SMEs) through a fuzzy logic model. The application to a specific sector involves the adaptation of the methodological hypothesis presented in the theoretical model and the definition of the variables that interact in the estimation (causes and symptoms). In this approach is proposed the simulation of the fuzzy model to forecast firms’ health and find out the reasons that generate diseases. This supposes the use of the aggregate economic financial matrix to simulate the diseases of the set of SMEs in the construction sector and the estimation the causes of the diseases. In the research are presented the most common reasons of failure detected for the sector, the diseases relevant for each firm and a classification of business according to the impact of the causes between healthy and unhealthy firms.

Suggested Citation

  • Scherger, Valeria & Vigier, Hernán & Barberà-Mariné, M. Glòria, 2014. "Finding Business Failure Reasons Through A Fuzzy Model Of Diagnosis," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(1), pages 45-62, May.
    • Handle: RePEc:fzy:fuzeco:v:xix:y:2014:i:1:p:45-62
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    Citations

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    Cited by:

    1. Apostolos G. Christopoulos & Ioannis G. Dokas & Iraklis Kollias & John Leventides, 2019. "An implementation of Soft Set Theory in the Variables Selection Process for Corporate Failure Prediction Models. Evidence from NASDAQ Listed Firms," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 1-20.
    2. José M. Brotons-Martínez & Manuel E. Sansalvador-Sellés, 2021. "Proposal for a Fuzzy Model to Assess Cost Overrun in Healthcare Due to Delays in Treatment," Mathematics, MDPI, vol. 9(4), pages 1-14, February.
    3. Nikolić Nenad & Jovanović Ivan & Nikolić Đorđe & Mihajlović Ivan & Schulte Peter, 2019. "Investigation of the Factors Influencing SME Failure as a Function of Its Prevention and Fast Recovery after Failure," Entrepreneurship Research Journal, De Gruyter, vol. 9(3), pages 1-21, July.
    4. Ivan Mihajloviæ & Nenad Nikoliæ & Zhaklina Dhamo & Peter Schulte, 2015. "The Reasons for SME’s Failure, Comparative Analysis and Research," Proceedings of FIKUSZ 2015, in: Jolán Velencei (ed.),Proceedings of FIKUSZ '15, pages 7-22, Óbuda University, Keleti Faculty of Business and Management.

    More about this item

    Keywords

    economic-financial diagnosis; prediction; symptoms and causes; fuzzy relations;
    All these keywords.

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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