Identification of construction subcontractor prequalification evaluation criteria and their impact on project success

(چکیده مقاله) :
Abstract :

Nowadays, the construction industry shares about 7.5 trillion dollars in the business field
that accounts around (13.4%) of the world output, [1]. Therefore, a massive number of the construction
contractors prefer to outsource construction project activities to the subcontractors,
and they only perform the managerial activates such as, project financing, contract administration
with clients, procurement process of equipment and materials, and monitoring the project progress.
Hence, the Prequalification process is one of the main essential processes, consequently, relying only
on the ‘‘lowest price criteria” usually leads to project risks on its’ main objectives: time, cost and
quality. So, the proposed research aims to identify, analyze, and prioritize the most important criteria
that influence the subcontractor’s selection process using the statistical analysis approach.
To achieve the research objectives, a random sample of (120) construction company were invited
to participate in a pre-designed questionnaire with (58%) response rate, comprising 55 criteria, categorized
under (7) groups: Cost; Quality; Technical Capability; Management Capability; Health &
Safety; Reputation; and Time. Among the evaluated criteria, the subsequent five determined as the
most influencing ones: On time delivery of materials; Failure to complete contract due to financial
problems; Subcontractor’s difficulty in reimbursement; Reputation; and Tender price.

(توضیحات تکمیلی) :

(توضیحات تکمیلی) :
Description :

مقاله ISI انگلیسی اصلی
سال انتشار:2018
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 7 صفحه

Authors / Descriptions(نویسندگان/توضیحات): مقاله ISI مرتبط با ترجمه مقابل / شناسایی معیارهای ارزیابی مقدما تی شایستگی پیمانکار ثانوی سا ختمانی و اثر آنان بر موفقیت پروژه
Sent date(تاریخ ارسال) : 1397/12/15  |   3/6/2019
Number of visits(تعداد بازدید): 691
Key words (کلمات کلیدی): Construction industry; Subcontractor selection; Identification; Factor evaluation; Statistical analysis approach
Number of pages(تعداد صفحات) : 7
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