Modelling labour productivity of reinforcement bar using polynomial regression: a study on a tropical country's weather-Reference-Cited by-同舟云学术

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

Published:2021-11-08 Issue: Volume: Page:1-9
ISSN:1562-3599
Container-title:International Journal of Construction Management
language:en
Short-container-title:International Journal of Construction Management

Author:

Alrefaie Anas Moussa¹,Abdul-Samad Zulkiflee¹,Salleh Hafez¹,Alashwal Ali Mohammed²,Amos Daniel³

Affiliation:

1. Faculty of Built Environment, University of Malaya, Kuala Lumpur, Malaysia

2. School of Built Environment, Western Sydney University, Greater Western Sydney, NSW, Australia

3. Department of Estate Management, Faculty of Built and Natural Environment, Kumasi Technical University, Kumasi, Ghana

Funder

Fundamental Research Grant Scheme (FRGS) by the Ministry of Higher Education in Malaysia

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Strategy and Management,Building and Construction

Link

https://www.tandfonline.com/doi/pdf/10.1080/15623599.2021.1997408

Reference48 articles.

1. Construction Sector Contribution to Economic Stability: Malaysian GDP Distribution

2. Indoor thermal comfort assessment using PCM based storage system integrated with ceiling fan ventilation: Experimental design and response surface approach

3. Weather and labor productivity in construction: a literature review and taxonomy of studies

4. Optimization of spray-drying conditions for the preparation of whey protein concentrate–iron complex using response surface methodology

5. Estimated work ability in warm outdoor environments depends on the chosen heat stress assessment metric

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of the Significance of Identified Attributes Affecting the Rebar-Fixing Productivity Using Multiple Regression;Journal of Construction Engineering and Management;2023-06

2. How technological, environmental and managerial performance contribute to the productivity change of Malaysian construction firms;Engineering, Construction and Architectural Management;2022-09-27

3. Intelligent Data-Driven Models for Simulating Formwork Labour Productivity in High Rise Buildings;International Journal of Civil Infrastructure;2022

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