Ana Irimia-Diéguez

Risk Identification in Megaprojects as a Crucial Phase of Risk Management: A Literature Review

The purpose of this study is to perform a literature review of risk management in megaprojects and systematize the risks studied in the literature. A systematic search of the main databases has been performed. The contributions include: (1) a bibliometric analysis of articles; (2) the systematization and classification into nine categories of the risks found in a content analysis of the articles; and (3) the identification of possible areas of interest for research and practice. Risks are comprehensively categorized to assist practitioners during the identification phase, while potential areas for future lines of research are presented for academics.

A Comparison of Classification/Regression Trees and Logistic Regression in Failure Models☆

Abstract The use of non-parametric statistical methods, the development of models geared towards the homogeneous characteristics of corporate sub-populations, and the introduction of non-financial variables, are three main issues analysed in this paper. This study compares the predictive performance of a non-parametric methodology, namelyClassification/Regression Trees (CART), against traditional logistic regression (LR) by employing a vast set of matched-pair accounts of the smallest enterprises, known as micro-entities,from the United Kingdom for the period 1999 to 2008 that includes financial, non-financial, and macroeconomic variables. Our findings show that CART outperforms the standard approach in the literature, LR.

Financial Management of Large Projects: A Research Gap☆

Abstract This paper analyses the research published in high-impact journals on Financial Management in large projects. Our purpose is to answer the following research questions: (a) Which financial aspects are analysed? (b) How are the financial theories applied to large project management? (c) What are the potential areas for further research? The methodology applied is a bibliographic review of articles related with research questions published from 2000 to February 2013 as stored in the main databases. Our findings show that performance is the most intensely studied aspect although no agreement in performance measurement has yet been reached.