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- Title
Mapping the Industrial Perception of Delay Data Through Importance Rating.
- Authors
Gunduz, Murat; AbuHassan, Mohanad
- Abstract
The construction industry is struggling with several recorded incidents of delay due to improper planning and/or implementation of required construction measures. The common conclusion by many researchers worldwide is that the construction industry is overloaded with more frequent delays when compared to other labour-enforced industries. Construction stakeholders' input is required to facilitate the smooth flow of construction projects. The purpose of this paper is to identify and rank the most significant delay attributes that affect the construction industry. The scope of the effort concentrates on identifying the delay factors and ranking them based on a questionnaire. After a review of the literature, a list of 42 delay attributes was made and presented in a survey, which was sent to numerous professionals in the construction industry. One hundred and seventy-nine complete responses were received and analysed. The procedures to execute the work are carried through the importance index, Spearman's rank correlation, t test, and risk mapping. The major findings of the study are that 'low productivity of labour', 'delay in decision making', 'changes to the project by owner', 'delays related to subcontractors' work', and 'unqualified workforce' were ranked as the most significant delay attributes. Based on the most significant factors, recommendation to industry professionals was presented.
- Subjects
DATA analysis; CONSTRUCTION industry; DELAY (Contracts); PLANNING; RISK assessment; STATISTICAL correlation
- Publication
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2017, Vol 42, Issue 9, p3799
- ISSN
2193-567X
- Publication type
Article
- DOI
10.1007/s13369-017-2477-3