Evaluation of Chinese Enterprise Safety Production Resilience Based on a Combined Gray Relevancy and BP Neural Network Model

Round 1

Reviewer 1 Report

Thank you for inviting me to review this interesting and innovative paper. With the caveat that I am primarily a qualitative researcher and thus can make limited commentary on the calculations, I make the following recommendations:

·         There is a need for clear definition of a number of terms such as enterprise safety, safe production, safety production, enterprise production etc. This will assist readers to navigate and fully understand the paper and also potentially widen the readership.

·         The terms used in the equations and figures require additional explanation and clarification, for example around the meaning of ‘t’ in this context and the grey correlation degree verification factors model. The ‘C’ elements of this model in particular require explaining to allow the reader to fully understand the meaning.

·         The narrative of the paper needs to be clearer with links between the various sections and models well made. This includes strengthening the introduction to set out the paper content upfront. 

·         The methods used in the empirical testing require explaining in more depth- for example; How were businesses sampled? What questions were asked? Who took part in the employee discussions? Were these focus groups? How was the data recorded and analysed? etc

·         If the focus of the research is China, this should be made clear and the generalisability of the findings discussed

·         The limitations of the research do not seem to be addressed

·         It would be useful to know how this new method of measuring resilience could be used by businesses in practice- is the plan for a toolkit which would be used by in-house teams? Or is this method available only via highly trained consultant teams. I am interested to know how impactful this research could potentially be in practice.

·         I am wondering if this is actually two papers; one on the theoretical development of the new model and one on the empirical testing.

I hope that these comments are useful for both the authors and editors.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

The proposed paper presents a definition of the "enterprise safety production resilience", based on the analysis of the notion/definition of the "resilience" into several fields. It also introduces a methodology to assess the new notion based on "back propagation neural network model". The way to build such model is presented, as well as results based on data coming from several enterprises.

The paper is clear and reasonably well-written.

Presentation of the theoretical model (part 3.2) must be improved. In fact it is not clear what parameters of the equations are, what indexes are, etc. For example the letter 'm' is used in equation (2) as a bound of an index, whereas in equation (4) as a returned value of a function; but it is not clear that they are the same objects.

The presentations/references of figures and equations must be improved form the style point of view. Some figures are labelled before the image, whereas others are after. Some figures are combined with equations.

Author Response

Thank you for your comments. I have made the following modifications to your questions:

1. Emphasis is placed on the introduction of the improved theoretical model (Part 3.2). The letters are distinguished and the meanings of each letter are clarified.

2. I try to modify the presentations/references of figures and equations. If there are any shortcomings, I hope you can point them out in detail.