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A decision support system for financial and social investment

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  • Carlos Serrano-Cinca
  • Begoña Guti鲲ez-Nieto

Abstract

This article 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 a 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 this article.

Suggested Citation

  • Carlos Serrano-Cinca & Begoña Guti鲲ez-Nieto, 2013. "A decision support system for financial and social investment," Applied Economics, Taylor & Francis Journals, vol. 45(28), pages 4060-4070, October.
    • Handle: RePEc:taf:applec:v:45:y:2013:i:28:p:4060-4070
    DOI: 10.1080/00036846.2012.748180
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    References listed on IDEAS

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    1. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    2. Laura Bottazzi & Marco Da Rin, 2002. "Venture capital in Europe and the financing of innovative companies [‘Robust financial contracting and the role of venture capitalists’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 17(34), pages 229-270.
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    Cited by:

    1. Sarbjit Singh Oberoi & Sayan Banerjee, 2023. "Bankruptcy Prediction of Indian Banks Using Advanced Analytics," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 22-41.
    2. Francesco Rania & Annarita Trotta & Rosella Carè & Maria Cristina Migliazza & Abdellah Kabli, 2020. "Social Uncertainty Evaluation of Social Impact Bonds: A Model and Practical Application," Sustainability, MDPI, vol. 12(9), pages 1-34, May.
    3. 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.
    4. Irene Bengo & Alice Borrello & Veronica Chiodo, 2021. "Preserving the Integrity of Social Impact Investing: Towards a Distinctive Implementation Strategy," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    5. Mancini, Susanna & Casale, Marco & Rossi, Piercarlo & Faraudello, Alessandra & Dino, Giovanna Antonella, 2023. "Operative instruments to support public authorities and industries for the supply of raw materials: A decision support tool to evaluate the sustainable exploitation of extractive waste facilities," Resources Policy, Elsevier, vol. 81(C).
    6. Ovchinnikov, A. S. & Tseplyaev, A. N. & Balashova, N. N. & Šilerová, 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), pages 1-12, December.
    7. Scognamiglio, Elisabetta & Di Lorenzo, Emilia & Sibillo, Marilena & Trotta, Annarita, 2019. "Social uncertainty evaluation in Social Impact Bonds: Review and framework," Research in International Business and Finance, Elsevier, vol. 47(C), pages 40-56.

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