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Integrated Approach to Risk Management for Public Administrations: The Healthcare System

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Algorithms as a Basis of Modern Applied Mathematics

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 404))

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Abstract

The systemic risk represents the risk of a deep transformation of the structure of an economic and/or financial system that occurs, through a chain reaction, after the manifestation of a triggering event [12, 24] (Systemic risk: a survey. CEPR Discussion Papers, 2634, 2000; Thoughts on financial derivatives, systematic risk, and central banking: a review of some recent developments (No. WP-99-20), 1999) related to the dynamics of company crises, particularly the pathological company crises. By translating the concept of systemic risk to company dynamics, it is possible to approach it to the dynamics affecting the company crises. In the economic-business sciences, it is possible to identify the risk of the business crises through predictive models, such as the Z-Score [1,2,3,4,5] (Journal of Finance 23(4):589–611, 1968; Bell Journal of Economics and Management Science 4(1):184–211, 1973; Journal of Finance 44(4):909–922, 1989; Corporate financial distress and bankruptcy, 1993; Predicting financial distress of companies: revisiting the z-score and zeta models, 2000), defined using a multivariate approach based on the consideration and the analysis of several factors deemed significant in determining the healthcare of a company. The objective of the paper is to create a function that has a predictive character in the definition of the company crises. This function will be defined starting from the identification, the mapping and the coverage of the risk.

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Authors and Affiliations

  1. Department of Law, Economics, Management and quantitative Methods, University of Sannio, Piazza Guerrazzi, 82100, Benevento, Italy

    Gerarda Fattoruso, Roberto Jannelli, Maria Grazia Olivieri & Massimo Squillante

Authors
  1. Gerarda Fattoruso
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  2. Roberto Jannelli
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  3. Maria Grazia Olivieri
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  4. Massimo Squillante
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Corresponding author

Correspondence to Massimo Squillante .

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Editors and Affiliations

  1. Department of Mathematics and Physics, Faculty of Military Technology, University of Defence, Brno, Czech Republic

    Šárka Hošková-Mayerová

  2. Faculty of Mathematics and Computer Science, Ovidius University, Constanta, Romania

    Cristina Flaut

  3. Department of Mathematics and Physics, University of Campania “Luigi Vanvitelli”, Caserta, Italy

    Fabrizio Maturo

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Fattoruso, G., Jannelli, R., Olivieri, M.G., Squillante, M. (2021). Integrated Approach to Risk Management for Public Administrations: The Healthcare System. In: Hošková-Mayerová, Š., Flaut, C., Maturo, F. (eds) Algorithms as a Basis of Modern Applied Mathematics. Studies in Fuzziness and Soft Computing, vol 404. Springer, Cham. https://doi.org/10.1007/978-3-030-61334-1_22

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