Construction Project Success ranking through the Data Envelopment Analysis

Autor: Mazyar Zahedi-Seresht, Mohammadreza Akbarijokar, Hamidreza Afshari, Shahrzad Khosravi
Rok vydání: 2014
Předmět:
Zdroj: Data Envelopment Analysis and Decision Science, Vol 2014, Pp 1-13 (2014)
ISSN: 2195-4496
DOI: 10.5899/2014/dea-00056
Popis: The purpose of this paper is to rank construction projects' success in a post delivery phase. To attain this objective, a data envelopment analysis (DEA) approach is used. The model's output is a project success index which is calculated based on five project success criteria. These criteria which are determined by a two-round Delphi questionnaire survey are time performance, cost performance, quality, HSE, and customer satisfaction. The input factors which have effects on the output measures are Organizational Sponsorship, Project Manager Competency, Customer Organization, Project Operational Environment and Organizational Experience. The tool adopted to determine these factors is questionnaire. This model is applied for 9 projects with different importance of output and input factors and the reasonable result is achieved for ranking these projects.
Databáze: OpenAIRE