Modeling the Cost of Political Risk in International Construction Projects

Autor:	Hashem Al-Tabtabai, Alex P. Alex
Rok vydání:	2000
Předmět:	Artificial neural network Cost estimate Political risk Risk analysis (engineering) Computer science Management of Technology and Innovation Strategy and Management Business and International Management
Zdroj:	Project Management Journal. 31:4-13
ISSN:	1938-9507 8756-9728
DOI:	10.1177/875697280003100302
Popis:	This paper describes a neural network model that can provide assistance in predicting the additional increase in project cost, due to political risk source variables affecting a construction project. The risk factors that affect a construction project are classified as “political source variables” and “project consequence variables.” These source variables are identified and represented in a neural network model. The paper explains how the developed political risk control model can be incorporated directly into a project cost estimation process. The paper concludes with a discussion of the capabilities and limitations of the proposed political risk estimation method, and how it will assist project managers in computing a realistic cost estimate for typical international construction projects under different political conditions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::efb23987344239e483264a78724a6a31 https://doi.org/10.1177/875697280003100302 Zobrazit plný text záznamu