Assessment of the Significance of Identified Attributes Affecting the Rebar-Fixing Productivity Using Multiple Regression-Reference-Cited by-同舟云学术

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Assessment of the Significance of Identified Attributes Affecting the Rebar-Fixing Productivity Using Multiple Regression

Published:2023-06 Issue:6 Volume:149 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Arora Jai¹,Kar Santu²^ORCID,Jha Kumar Neeraj³

Affiliation:

1. Postgraduate Student, Dept. of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India (corresponding author).

2. Assistant Professor, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India. ORCID: .

3. Professor, Dept. of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-12861

Reference49 articles.

1. Identifying factors affecting construction labour productivity in India and measures to improve productivity

2. Factors affecting construction labour productivity in Yemen

3. U.S. Construction Labor Productivity Trends, 1970–1998

4. Modelling labour productivity of reinforcement bar using polynomial regression: a study on a tropical country's weather

5. Factors affecting the job satisfaction of construction engineers: evidence from Jordan

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1. Unraveling the Phenomenon of Construction Labor Productivity: A Cutting-Edge Bibliometric Analysis;Jurnal Kejuruteraan;2024-07-30

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