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Joao Carvalho Neves

Personal Details

First Name:Joao
Middle Name:Carvalho
Last Name:Neves
RePEc Short-ID:pne54
ISEG - School of Economics and Management Rua Miguel Lupi, 20 1249-078 LISBOA Portugal


Instituto Superior de Economia e Gestão (ISEG)
Universidade de Lisboa

Lisboa, Portugal

: +351-213 925 800
+351-213 925 850
Rua do Quelhas 6, 1200-781 LISBOA
RePEc:edi:isutlpt (more details at EDIRC)

Research output

Jump to: Articles


  1. Joao Neves & Antonio Bugalho, 2008. "Coordination and control in emerging international construction firms," Construction Management and Economics, Taylor & Francis Journals, vol. 26(1), pages 3-13.
  2. J. C. Neves & A. Vieira, 2006. "Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization," European Accounting Review, Taylor & Francis Journals, vol. 15(2), pages 253-271.
  3. Neves, Joao C., 2006. "Controlling strategy: Management, accounting and performance measurement," The International Journal of Accounting, Elsevier, vol. 41(2), pages 202-205.
  4. Joao C. Neves, 2005. "The value of financial freedom and ownership in opportunities of entrepreneurial harvest," International Journal of Entrepreneurship and Innovation Management, Inderscience Enterprises Ltd, vol. 5(5/6), pages 469-482.
  5. João Carvalho das Neves & Pedro Palma Fernandes, 1998. "A reacção do mercado de capitais português à publicação de lucros das «blue chips» no período 1991-1995," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 119-127.


Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.


  1. J. C. Neves & A. Vieira, 2006. "Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization," European Accounting Review, Taylor & Francis Journals, vol. 15(2), pages 253-271.

    Cited by:

    1. Situm Mario, 2014. "Inability of Gearing-Ratio as Predictor for Early Warning Systems," Business Systems Research, De Gruyter Open, vol. 5(2), pages 23-45, September.
    2. Liébana-Cabanillas, F. & Lara-Rubio, J., 2017. "Predictive and explanatory modeling regarding adoption of mobile payment systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 32-40.
    3. Korol, Tomasz, 2013. "Early warning models against bankruptcy risk for Central European and Latin American enterprises," Economic Modelling, Elsevier, vol. 31(C), pages 22-30.
    4. Mselmi, Nada & Lahiani, Amine & Hamza, Taher, 2017. "Financial distress prediction: The case of French small and medium-sized firms," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 67-80.

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  1. Portuguese Economists


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