A class of regression models taking into account the lack of sufficient statistical data is proposed. The main ideas of the class are to use the framework of Vapnik's learning theory and to replace a single probability distribution of the noise by a set of probability distributions, which is not...

While construction industry practices are reasonably well developed, construction projects still witness widespread failures of many contractors due to varied reasons such as financial problems, poor management, over-commitment and or conflicts and disputes associated with construction...

Nowadays banks are faced with an increased level of doubtful debts. This research examines some firm- market- and industry-related factors that can be used to explain the level of doubtful debts. Some moderating factors (type, size and duration of the loan) are also considered. The sample is...

Construction firms, under the influence of different dynamic institutional and task environment forces, are likely to have differing perceptions about the determinants of project performance. To test this proposition, this study uses institutional and task environment frameworks to investigate...