Factors affecting construction labour productivity: a case study of Jordan

Hiyassat, Mohammed; Hiyari, Montaser A.; Sweis, Ghaleb

doi:10.1080/15623599.2016.1142266

Cited by 72 publications

(62 citation statements)

References 14 publications

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“…Researcher's tried to understand the relationship between skill development and productivity in the construction industry. The trend is not consistent over time due to a number of reasons such as unplanned training sessions, consistency of skill development courses and the decrease in the number of participants [12] [13]. Construction productivity has been the area of interest for the research since last 4-5 decades.…”

Section: Construction Productivitymentioning

confidence: 99%

Critical analysis of factors affecting the on-site productivity in Indian construction industry

Dixit¹,

Mandal²,

Thanikal³

et al. 2018

Creative Construction Conference 2018 - Proceedings

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The growth in construction productivity is low and do not continue for a long span of time. The purpose of the present research paper is to identify the factors affecting the on-site construction productivity, from the literature review and through a focused interview with industry professionals. The most relevant 18 attributes have been finalized for the study, and a total of 154 complete data collection is targeted for the study form major contractors, developers and consultants throughout India. The convenient sampling technique is used to collect the data. The collected data has been analyzed using relative importance index (RII) to priorities the variable on the basis of their relative importance. The findings of the study conclude that the most significant 3 attributes affecting on-site construction productivity are planning and scheduling, availability of material, and storage area for a material having a relative value of 0.78, 0.76, and 0.75 respectively. SPSS 21 software tool has been used to check the reliability of the data and to perform factor analysis. The factors are site management, competency management, commitment and coordination management, resource management, and planning explains a variance of 15%, 11.5%, 10.3, 9.1, and 7.1% respectively. The research paper attempts to provide an insight and better understanding of the factors affecting on-site construction productivity in India and the ways and means to control and improve construction productivity of construction projects.

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Section: Construction Productivitymentioning

confidence: 99%

Critical analysis of factors affecting the on-site productivity in Indian construction industry

Dixit¹,

Mandal²,

Thanikal³

et al. 2018

Creative Construction Conference 2018 - Proceedings

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show abstract

“…[51], [55][26] [56] [52] Availability of material, the experience of labour, skill set and training, communication, the financial position of the client [57][26], [40] 3. Research Methodology 3.1 Questionnaire survey To investigate the impact of construction productivity on the performance of construction project a structured questionnaire survey method was adopted.…”

Section: Table 2 Summary Of Attributes/variables Identified By Previomentioning

confidence: 99%

Construction productivity and construction project performance in Indian construction projects

Dixit¹,

Mandal²,

Thanikal³

et al. 2018

Creative Construction Conference 2018 - Proceedings

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In order to ensure the performance of a project, it should be defined in terms of some measurable key parameters. Past researchers have identified project performance parameters such as cost, safety, construction productivity, and quality. Amongst all of them, construction productivity is one of the most reliable parameters of project performance. Performance can be measured at various levels including sector, organization, activity and project level in projectbased organizations. The methodology adopted to conduct the study is to collect the data through a structured questionnaire survey using convenient sampling technique. The number of variables selected from the literature for the study is 26 and the targeted data collection for the study is 125.The collected data has been analyzed using relative importance index (RII) to priorities the variables on the basis of their relative importance. The findings of the study concludes that the most significant 3 attributes impacting CPP are projected coordination meetings, coordination between all stakeholders, and top management support to PM having a relative value of 0.84, 0.82, and 0.69 respectively. SPSS 21 software tool has been used to check the reliability of the data and to perform factor analysis and the factors are pre-construction management, financial management, socio-economic management, coordination and communication management, resource management, commercial management, site management, and rework explains a variance of 14%, 10. 3%, 9.1%, 7.1%, 6.3%, 6%, 5%,and 4.3% respectively.

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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: a case study of Jordan

Cited by 72 publications

References 14 publications

Critical analysis of factors affecting the on-site productivity in Indian construction industry

Critical analysis of factors affecting the on-site productivity in Indian construction industry

Construction productivity and construction project performance in Indian construction projects

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

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