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Peer-Review Record

Innovative Mesosystems Algorithm for Sustainable Development Priority Areas Identification in Industry Based on Decision Trees Construction

Mathematics 2021, 9(23), 3055; https://doi.org/10.3390/math9233055
by Aleksey I. Shinkevich 1,*, Irina G. Ershova 2, Farida F. Galimulina 1 and Alla A. Yarlychenko 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Mathematics 2021, 9(23), 3055; https://doi.org/10.3390/math9233055
Submission received: 13 November 2021 / Revised: 25 November 2021 / Accepted: 26 November 2021 / Published: 28 November 2021

Round 1

Reviewer 1 Report

Dear authors, 

I believe you have touched a very interesting issue by focusing on innovative mesosystems in Russian industry in the context of sustainable development based on the CART algorithm and to develop an algorithm for identifying priority areas of sustainable development that are adequate to the identified type of mesosystems. Your study tackles a hot topic nowadays, especially taking into account developing a systematic approach and the CART algorithm. The manuscript needs revisions in terms of content, in accordance with the academic standards of the journal. Please find these comments in the following paragraphs.

 

General comments:

 

The manuscript Innovative mesosystems algorithm for sustainable development priority areas identification in industry based on decision trees construction” needs careful English proofreading because there are some shortcomings. For instance, the article “the” is sometimes missing in front of nouns, the message in some paragraphs is not clear enough.        

Regarding the abstract, I suggest the authors to focus more on emphasizing the results of the study and their importance. The authors must show the novelty of the research as compared to other research in this field.

 

In the introduction and the theoretical discussions sections, authors should stress more how increasing their proposal the economic theory for nonlinear behavior in financial series.

 

The following titles are suggested to be included in the introduction and literature review sections, regarding this subject:

  1. Larissa, Batrancea; Maran, Rathnaswamy M.; Ioan, Batrancea; Anca, Nichita; Mircea-Iosif, Rus; Horia, Tulai; Gheorghe, Fatacean; Ema Speranta, Masca; Dan, Morar I. 2020. "Adjusted Net Savings of CEE and Baltic Nations in the Context of Sustainable Economic Growth: A Panel Data Analysis"  Risk Financial Manag.13, no. 10: 234. https://doi.org/10.3390/jrfm13100234

 

And some useful keywords which might be helpful to your research:

production; profitability

Author Response

The authors thank the esteemed reviewer for valuable comments. The answers to them are presented in the attached file. Please see the attachment.

Author Response File: Author Response.doc

Reviewer 2 Report

  1. This study uesd mesoscopic system of innovation evaluation method for the sustainable development model of the mesoscopic system of industrial production's innovation in Russian.
  2. Regarding the part of the research method, through the observation of the relevant equations, unique methodology for innovative mesosystems sustainable development (ISDI) assessment evaluation method mentioned in this study seems reasonable for the measurement of innovation and sustainable development in Russian industrial production, but it is lack of verification and support for statistical methods.
  3. The author can provide the incremental contribution of their paper to the literature. 

Author Response

The authors thank the esteemed reviewer for valuable comments. The answers to them are presented in the attached file. Please see the attachment.

Author Response File: Author Response.doc

Reviewer 3 Report

I read a very interesting piece of work. Congratulation on the hard work!

Some comments:

  • You do not define a mesosystem in the introduction. What is its difference with respect to micro- and macrosystems?
  • You do not explain why do you specifically opt for the CART algorithm in the introduction except for the Gini index.
  • You do not write properly the references: Zhao et al. (which year?), Lubnina et al. (which year?), etc.
  • Page 9, lines 292-300: You have to better explain the classification tree! It is confusing.
  • Page 10, line 338: It is section 2 (not 1)
  • Which data is the most influential in this decision making? Please answer in the conclusive section.

Author Response

The authors thank the esteemed reviewer for valuable comments. The answers to them are presented in the attached file. Please see the attachment.

Author Response File: Author Response.doc

Round 2

Reviewer 3 Report

Thank you for the updates.

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