Factors affecting construction labour productivity in Yemen

Alaghbari, Wa'el; Al-Sakkaf, Abubaker A.; Sultan, Basel

doi:10.1080/15623599.2017.1382091

Cited by 124 publications

(130 citation statements)

References 17 publications

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“…For instance, the study by Jarkas et al published in 2015, established a ranking system of 33 factors under four major groups named management, technological, labor, and exogenous, which affected construction labor productivity in the Sultanate of Oman [53]. In a similar study in Yemen, the classification system ranked 52 predefined factors that were categorized into four primary groups: labor, management, technical/technological, and external [54]. The technical and technological factors have the highest impact on construction labor productivity in Yemen.…”

Section: Factors Affecting Labor Productivitymentioning

confidence: 99%

Evaluating the Impact of Building Information Modeling on the Labor Productivity of Construction Projects in Malaysia

2020

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Globally, the construction sector suffers from low productivity levels due to a large proportion of the workforce consisting of low-skilled laborers. There is a significant need to move from traditional approaches to advanced methods, such as Building Information Modeling, in order to integrate design and construction workflows with the aim of improving productivity. To encourage more organizations, especially small to medium enterprises (SME), to transition to building information modeling (BIM), clear and convincing benefits are key to ensuring the viability of the BIM implementation process. This study presents the findings obtained through a quantitative structured close-ended survey questionnaire distributed among BIM-pioneering construction companies in terms of the three factors of the project, organization, and individual. The results suggest that BIM factors related to the individual supervision category have the highest positive impact, while the Individual (Labor) factor has the most negative impact on labor productivity. The study concludes by recommending the incorporation of BIM in the Individual (Supervision) category to improve the low construction productivity. A practical recommendation for building regulatory bodies is to develop comprehensive credential training programs with the greater utilization of BIM-related design and construction management to diminish the negative impact of Individual (Labor) factors and thus improve labor productivity in the construction sector.

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Section: Factors Affecting Labor Productivitymentioning

confidence: 99%

Evaluating the Impact of Building Information Modeling on the Labor Productivity of Construction Projects in Malaysia

2020

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“…Poor construction labor productivity is a major cause of influencing quality, duration, and cost of construction projects (Mahamid, 2013b). Also, previous studies indicated that the loss of labor productivity in the construction industry is affected by various factors related to workforce, management, equipment and tools, materials, technology, and environment (Alaghbari et al, 2019;Enshassi et al, 2007;Mustapha & Naoum, 1998). However, the perception of what factors affecting construction labor productivity may different depending on the roles of respondents in the implementation of construction projects (Perera et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Critical factors affecting construction labor productivity: A comparison between perceptions of project managers and contractors

Tâm

Toan

Hai

et al. 2021

Cogent Business & Management

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“…Therefore, construction productivity has a major impact on the efficiency of organizations and the overall economy of one country. Low productivity of construction projects is a common problem in many countries (Fulford & Standing, 2014;Durdyev & Mbachu, 2018;Hiyassat, Hiyari, & Sweis, 2016;Alaghbari, Al-Sakkaf, & Sultan, 2019;Jarkas, Al Balushi, & Raveendranath, 2015). Labor productivity is a complex function of many factors which can increase and decrease project performance (Karimi, Taylor, & Goodrum, 2017).…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Fault Tree Analysis to Identify Factors Influencing Construction Labor Productivity: A High-Rise Building Case Study

Shoar

Banaitis

2019

Journal of Civil Engineering and Management

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The aim of this research is to develop a systematic approach to identify and prioritize the most influencing factors on labor productivity in a construction project, with respect to their interrelations, and also investigate different scenarios which can affect it. In the first step, factors influencing construction labor productivity were identified through reviewing previous researches. Applying a group of experts, the most important factors were then determined using their relative importance index in the second step. In the third step, the interrelations among factors were determined through several sessions and interviewing those experts. Finally, the efficiency of the proposed methodology is proved by implementing in a real high rise building construction project. In this step, the selected factors from previous steps were used subsequently for analyzing their impact on labor productivity through fuzzy fault tree analysis. The probability of occurrence of events was determined according to the opinions of four members of the project management team who involved in that project. The most critical causes were also identified using importance analysis. It is believed that using the proposed methodology, appropriate response strategies could be adopted against the identified critical events to enhance the overall productivity of a construction project.

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Factors affecting construction labour productivity in Yemen

Cited by 124 publications

References 17 publications

Evaluating the Impact of Building Information Modeling on the Labor Productivity of Construction Projects in Malaysia

Evaluating the Impact of Building Information Modeling on the Labor Productivity of Construction Projects in Malaysia

Critical factors affecting construction labor productivity: A comparison between perceptions of project managers and contractors

Application of Fuzzy Fault Tree Analysis to Identify Factors Influencing Construction Labor Productivity: A High-Rise Building Case Study

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