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Atiya, A.F. (2001) Bankruptcy Prediction for Credit Risk Using Neural Networks: A Survey and New Results. IEEE Transactions on Neural Networks, 12, 929-935.
https://doi.org/10.1109/72.935101

has been cited by the following article:

• TITLE: Life Cycle of Private Schools Experiencing Failure in Democratic Republic of Congo

  AUTHORS: Corneille Luboya Tshiunza, Landry Kinkani Batekele, Jean Paul Yawidi

  KEYWORDS: School Failure or School Bankruptcy, Private School and Life Cycle of an Organization

  JOURNAL NAME: Open Journal of Social Sciences, Vol.5 No.10, October 31, 2017

  ABSTRACT: Over 217 private schools were surveyed on bankruptcy or failure in the Educational Province of Kinshasa-West between 2007 and 2012 in DR Congo. This particular situation needs to be studied. This mixed methods study with triangulation allowed collection and exploitation of two types of data separately. The qualitative data were made up by the archives documents of the 140 schools. The quantitative data collected by survey (questionnaire) with 420 actors from these private schools respectively ex-schools’ promoters, ex-teachers and ex-schools’ principals. This sequential exploratory mixed methods study describes briefly some determinant factors of failure and categorize, classify and describe the characteristics of life cycle stages of these private schools’ experiencing failure.