Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle
, Ahmed Farouk Kineber 3, Nicholas Chileshe 4,* and David John Edwards 5
Round 1
Reviewer 1 Report
DOCUMENT OF THE REVIEW WITH COMMENTS IS ATTACHED
Comments for author File: 
Comments.pdf
Author Response
The authors are grateful to the reviewer for the constructive comments. The responses are as attached.
Authors
Author Response File: Author Response.pdf
Reviewer 2 Report
file enclosed
Comments for author File: Comments.pdf
Author Response
The authors are grateful to the reviewer for the constructive comments. The responses are as attached.
Authors
Author Response File: Author Response.pdf
Reviewer 3 Report
This article needs important modifications to be suitable for this journal. I suggest major revision for this paper. The main comments are:
- The paper is technically interesting; however, the novelty of this paper should be further justified and to establish the contributions to the new body of knowledge.
- Abstract section should be improved considering the following structure: introduction, problem statement, methodology, results, and conclusion.
- In Introduction section, the authors should improve the research background, the review of significant works in the specific study area, the knowledge gap, the problem statement, and the novelty of the research.
- Introduction is not organized well. The reviewer cannot readily see the significance of this study compared to the previous works. The literature review should be extended to more recently published works available in the literature. Some of the papers for authors consideration:
(a) Deep learning-based axial capacity prediction for cold-formed steel channel sections using Deep Belief Network, Structures 33, 2792-2802, 2021
(b) Application of deep learning method in web crippling strength prediction of cold-formed stainless steel channel sections under end-two-flange loading, Structures 33, 2903-2942, 2021
(c) Deep learning-based procedure for structural design of cold-formed steel channel sections with edge-stiffened and un-stiffened holes under axial compression, Thin-Walled Structures 166, 108076
- The presentation of the results and conclusions could be improved.
- Authors can state any limitations/Assumptions of the prediction models used in this study?
Author Response
Please see attachment
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
Comments are included in the attached document.
Comments for author File: Comments.pdf
Author Response
The authors are grateful t the reviewer for the constructive comments.
We have attached our responses in a separate document
Authors
Author Response File: Author Response.pdf
Reviewer 3 Report
Please accept as it is
Author Response
Dear reviewer,
Whilst no comments are required as you have accepted the paper 'as is', we are nevertheless grateful for the constructive comments. The quality of the manuscript has significantly improved as a result f the comments
Thanks,
Authors
