risk identification and evaluation in joint venture construction projects in Iran using fuzzy synthetic approach

Joint venture jv consturction projects are opportunities in which organizaations with different levels of financial and technical competencies collaborate with each other to achieve better project performance The risks which are evolved in these kinds of projects can lead to seriouse issues which may interrupt theflow of work create delay cause cost overrum and even hinder project success. the main objective of this paper is to identify evaluate and classify risks in JV construction projects in iran in this research Qom monorail project as a JV agreement is selected for developing a project risk evaluation framework By reviewing literature and expert judgments thirty three risks are identified and categorized in three main groups internal risks project related risks and external risks .

کلیدواژه ها:

joint venture ، risk identification ، risk classification ، fuzzy synthetic evaluation