کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
276014 | 1429703 | 2011 | 13 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Modelling optimal risk allocation in PPP projects using artificial neural networks Modelling optimal risk allocation in PPP projects using artificial neural networks](/preview/png/276014.png)
This paper aims to establish, train, validate, and test artificial neural network (ANN) models for modelling risk allocation decision-making process in public–private partnership (PPP) projects, mainly drawing upon transaction cost economics. An industry-wide questionnaire survey was conducted to examine the risk allocation practice in PPP projects and collect the data for training the ANN models. The training and evaluation results, when compared with those of using traditional MLR modelling technique, show that the ANN models are satisfactory for modelling risk allocation decision-making process. The empirical evidence further verifies that it is appropriate to utilize transaction cost economics to interpret risk allocation decision-making process. It is recommended that, in addition to partners' risk management mechanism maturity level, decision-makers, both from public and private sectors, should also seriously consider influential factors including partner's risk management routines, partners' cooperation history, partners' risk management commitment, and risk management environmental uncertainty. All these factors influence the formation of optimal risk allocation strategies, either by their individual or interacting effects.
Journal: International Journal of Project Management - Volume 29, Issue 5, July 2011, Pages 591–603