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Processes
Volume 10
Issue 10
10.3390/pr10101958
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Article
Peer-Review Record

Low-Carbon Collaboration in the Supply Chain under Digital Transformation: An Evolutionary Game-Theoretic Analysis

Processes 2022, 10(10), 1958; https://doi.org/10.3390/pr10101958
by Gang Li 1,*, Hu Yu 2 and Mengyu Lu 2
Reviewer 1: Anonymous
Reviewer 2:
Kai-Ying Chen
Processes 2022, 10(10), 1958; https://doi.org/10.3390/pr10101958
Submission received: 11 August 2022 / Revised: 2 September 2022 / Accepted: 16 September 2022 / Published: 28 September 2022
(This article belongs to the Special Issue Green Manufacturing and Sustainable Supply Chain Management)

Round 1

Reviewer 1 Report

Dear authors

I think the topic is interesting and timely. To help you improve your paper, I listed a few suggestions below. 

The research novelty could be better strengthened in the introductory section. 

The contributions should be more highlighted. 

Finally, I recommend it to be published in "Processes" after minor revision.

Kind Regards

Author Response

Dear reviewer,

Please see the attachment.

We would like to express our sincere appreciation for your careful reading and invaluable comments to improve this paper. We have addressed all issues raised by you and earnestly improved this paper. Now we are submitting the response. Please see the attachment.

Yours sincerely,

Gang Li

Author Response File: Author Response.docx

Reviewer 2 Report

1.Combination of low carbon collaboration and digital transformation is an interesting research issue.

2.What is the definition of digital transformation in this research? Adapting digital technologies? or business model transformation? Please state the roles of digital transformation in this research.

3.Please describe more  reasons or provide more references to support for using evolutionary game to deploy the low carbon collaboration model of supply chain.

4.Please discuss the appropriateness of initial value of parameters in the system dynamics (Table 6).

5.Please discuss the appropriateness of all initial probabilities and assumptions in section 4.3. Numerical simulation and analysis.

6.Many reference sources linkage can not be found. It must be improved. 

Author Response

Dear reviewer,

Please see the attachment.

We would like to express our sincere appreciation for your careful reading and invaluable comments to improve this paper. We have addressed all issues raised by you and earnestly improved this paper. Now we are submitting the response. Please see the attachment.

Yours sincerely,

Gang Li

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

Some revision has been made for better understand and contribution illustration of this paper. I wold like to recommend this paper for publication in this status. 

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