Exploring radio frequency identification tools for sustainable construction projects: a hybrid structural equation modeling and deep neural network approaches-Reference-Cited by-同舟云学术

Exploring radio frequency identification tools for sustainable construction projects: a hybrid structural equation modeling and deep neural network approaches

Published:2024-09-12 Issue:1 Volume:11 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Kineber Ahmed Farouk¹,Oke Ayodeji Emmanuel²,Elshaboury Nehal³,Elseknidy Mohamed⁴,Alhusban Mohammad⁵,Zamil Ahmad⁶,Altuwaim Ayman⁷

Affiliation:

1. College of Project Management, Built Environment, Asset & Maintenance Management, School of Engineering and Technology, Central Queensland University, Melbourne, Australia

2. Quantity Surveying, Federal University of Technology Akure, Akure, Nigeria

3. Construction and Project Management Research Institute, Housing and Building National Research Centre, Giza, Egypt

4. Chemical and Environmental Engineering, Universiti Putra Malaysia, Malaysia

5. Department of Civil Engineering, Middle East University, Amman, Jordan

6. Department of Marketing, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

7. Department of Civil Engineering, King Saud University, Riyadh, Saudi Arabia

Funder

Middle East University

Prince Sattam bin Abdulaziz University

King Saud University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2024.2402052

Reference72 articles.

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3. Alkilani S. G. (2018). [Performance measurement and improvement model for small and medium contractors in developing countries ]. [PhD thesis]. University of New South Wales.

4. Badewi A. (2016). [Investigating benefits realisation process for enterprise resource planning systems ]. [PhD thesis]. Cranfield University Wharley End.

5. Critical success factors (CSFs) for integration of sustainability into construction project management practices in developing countries