A comprehensive approach for assessing the causes of low productivity in the construction sector: a systematic categorization and ranking using Pareto and Fuzzy analysis

Premakumara A; Siriwardana C

A comprehensive approach for assessing the causes of low productivity in the construction sector: a systematic categorization and ranking using Pareto and Fuzzy analysis

dc.citation.volume	Ahead of Print
dc.contributor.author	Premakumara A
dc.contributor.author	Siriwardana C
dc.date.accessioned	2024-08-22T01:15:08Z
dc.date.available	2024-08-22T01:15:08Z
dc.date.issued	2024-07-21
dc.description.abstract	Implementing a comprehensive and globally adaptable assessment approach for causes of low construction productivity has proven to be a contemporary challenge. This prevails since the factors influencing the construction industry vary significantly by geographic region and operational characteristics. Hence, substantial research on this topic has restricted its scope to a particular location without a comprehensive global categorization. Furthermore, much of this research has neglected the influence of subjectivity in the stakeholder response evaluations. To address these shortcomings, this study provides a unique assessment of the construction context initiated by a systematic review of 130 studies published worldwide over the previous 32 years. The 915 unique factors from this systematic review were then categorized into regional and productivity dimensions through Pareto and Frequency analysis techniques. The regional categorization encompassed nine distinct regions spanning the world, while the productivity component encompassed a set of 14 distinctive benchmarks that characterize productivity in the construction industry. These sorted factors were then adapted in the Sri Lankan context as a pilot study through a cross-sectional survey including 117 stakeholders. The following Fuzzy analysis allowed the mitigation of the ambiguity of these survey responses while ranking the factors based on a calculated importance index while also considering the interdependence of the introduced benchmarks. Ultimately, the employed assessment approach for identifying and ranking factors contributing to low construction productivity in this study is proposed as globally adaptable with its successful incorporation of subjective evaluation.
dc.description.confidential	false
dc.edition.edition	Jul 2024
dc.identifier.citation	Premakumara A, Siriwardana C. (2024). A comprehensive approach for assessing the causes of low productivity in the construction sector: a systematic categorization and ranking using Pareto and Fuzzy analysis. Construction Management and Economics. Ahead of Print.
dc.identifier.doi	10.1080/01446193.2024.2377712
dc.identifier.eissn	1466-433X
dc.identifier.elements-type	journal-article
dc.identifier.issn	0144-6193
dc.identifier.number	2377712
dc.identifier.uri	https://mro.massey.ac.nz/handle/10179/71358
dc.language	English
dc.publisher	Taylor and Francis Group
dc.publisher.uri	https://www.tandfonline.com/doi/full/10.1080/01446193.2024.2377712
dc.relation.isPartOf	Construction Management and Economics
dc.rights	(c) 2024 The Author/s
dc.rights	CC BY 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Construction
dc.subject	Fuzzy
dc.subject	Interdependence
dc.subject	Pareto
dc.subject	Productivity
dc.title	A comprehensive approach for assessing the causes of low productivity in the construction sector: a systematic categorization and ranking using Pareto and Fuzzy analysis
dc.type	Journal article
pubs.elements-id	490855
pubs.organisational-group	College of Health