Assessing and Improving Labor Productivity Management in Construction: A Practical Framework and Measurement Tool.

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Title: Assessing and Improving Labor Productivity Management in Construction: A Practical Framework and Measurement Tool.
Authors: Nhat Minh Huynh1 huynhnhatminh@hcmut.edu.vn, Long Le-Hoai1 lehoailong@hcmut.edu.vn, Chi Dien Do1 diendohcmut@gmail.com
Source: Construction Economics & Building. Mar2025, Vol. 25 Issue 1, p69-96. 28p.
Subjects: Labor productivity, Construction management, Likert scale, Construction projects, Decision making
Abstract: Despite numerous studies and resources available, the global construction sector has witnessed a decline in productivity over the past two decades, highlighting the need for practical tools and strategies to enhance labor productivity management. This study proposed a tool to support labor productivity management in construction. To achieve this, initial data were gathered through literature reviews and on-site observations, followed by interviews with 10 experienced site managers to refine a comprehensive set of productivity factors. These factors were then used to construct a system of factors before developing a quantitative management tool, inclusive of a measurement scale and an instructive guide. Finally, this tool was evaluated by 12 experts using a five-level Likert scale to ensure its practicality and accuracy. The results show that the tool offers a structured and informative approach to assessing and enhancing labor productivity in construction projects, thereby supporting managers in making informed decisions and improvements toward more successful project outcomes. The insights gained from this research contribute to the ongoing efforts to address labor productivity challenges in the construction industry, paving the way for future developments and enhancements in productivity management tools. [ABSTRACT FROM AUTHOR]
Copyright of Construction Economics & Building is the property of University of Technology, Sydney and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Assessing and Improving Labor Productivity Management in Construction: A Practical Framework and Measurement Tool.
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  Data: <searchLink fieldCode="AR" term="%22Nhat+Minh+Huynh%22">Nhat Minh Huynh</searchLink><relatesTo>1</relatesTo><i> huynhnhatminh@hcmut.edu.vn</i><br /><searchLink fieldCode="AR" term="%22Long+Le-Hoai%22">Long Le-Hoai</searchLink><relatesTo>1</relatesTo><i> lehoailong@hcmut.edu.vn</i><br /><searchLink fieldCode="AR" term="%22Chi+Dien+Do%22">Chi Dien Do</searchLink><relatesTo>1</relatesTo><i> diendohcmut@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Construction+Economics+%26+Building%22">Construction Economics & Building</searchLink>. Mar2025, Vol. 25 Issue 1, p69-96. 28p.
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  Data: <searchLink fieldCode="DE" term="%22Labor+productivity%22">Labor productivity</searchLink><br /><searchLink fieldCode="DE" term="%22Construction+management%22">Construction management</searchLink><br /><searchLink fieldCode="DE" term="%22Likert+scale%22">Likert scale</searchLink><br /><searchLink fieldCode="DE" term="%22Construction+projects%22">Construction projects</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Despite numerous studies and resources available, the global construction sector has witnessed a decline in productivity over the past two decades, highlighting the need for practical tools and strategies to enhance labor productivity management. This study proposed a tool to support labor productivity management in construction. To achieve this, initial data were gathered through literature reviews and on-site observations, followed by interviews with 10 experienced site managers to refine a comprehensive set of productivity factors. These factors were then used to construct a system of factors before developing a quantitative management tool, inclusive of a measurement scale and an instructive guide. Finally, this tool was evaluated by 12 experts using a five-level Likert scale to ensure its practicality and accuracy. The results show that the tool offers a structured and informative approach to assessing and enhancing labor productivity in construction projects, thereby supporting managers in making informed decisions and improvements toward more successful project outcomes. The insights gained from this research contribute to the ongoing efforts to address labor productivity challenges in the construction industry, paving the way for future developments and enhancements in productivity management tools. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Construction Economics & Building is the property of University of Technology, Sydney and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.5130/AJCEB.v25i1.8895
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      – Code: eng
        Text: English
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        PageCount: 28
        StartPage: 69
    Subjects:
      – SubjectFull: Labor productivity
        Type: general
      – SubjectFull: Construction management
        Type: general
      – SubjectFull: Likert scale
        Type: general
      – SubjectFull: Construction projects
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      – SubjectFull: Decision making
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      – TitleFull: Assessing and Improving Labor Productivity Management in Construction: A Practical Framework and Measurement Tool.
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            NameFull: Nhat Minh Huynh
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              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
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