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A decision support system for financial and social investment


  • Carlos Serrano-Cinca
  • Begoña Gutiérrez-Nieto


This paper proposes a decision-making model that assesses the different aspects associated to Social Venture Capital (SVC) investment decisions. SVC companies buy shares of investee companies, valued according to financial and social aspects. The proposed model includes three main factors: the previous experience with the company (the past); its financial information and intangible assets (the present); and the proposed project, considering financial and social criteria (the future). The model has 26 criteria and 160 indicators, prioritized by means of Analytic Hierarchy Process (AHP). AHP simplifies a complex problem using hierarchical analysis methodology, which enables subjective judgements among different criteria. The model has been tested in a given SVC company. Its development is explained in the paper.

Suggested Citation

  • Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto, 2010. "A decision support system for financial and social investment," Working Papers CEB 10-049, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:sol:wpaper:2013/65702

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    References listed on IDEAS

    1. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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    Cited by:

    1. Ovchinnikov, A. S. & Tseplyaev, A. N. & Balashova, N. N. & SÌŒilerovaÌ , E. & Melikhov, V. A., 2014. "Monitoring of Integrated Accounts Rendering and Non-Financial Information Disclosure to Agricultural Holdings (on the Basis of the Volgograd Region)," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(4), December.
    2. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Nydia M. Reyes, 2013. "A Social Approach to Microfinance Credit Scoring," Working Papers CEB 13-013, ULB -- Universite Libre de Bruxelles.

    More about this item


    Social Venture Capital; credit scoring; social performance; intangible assets; Expert Systems; Analytic Hierarchy Process;

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