Residential Environmental Protection Commodity Consumption Model and Trend Forecast Based on Consumer Preference
Round 1
Reviewer 1 Report
In the introduction/summary, it is worth giving examples of specific products, then the article will be more understandable and useful for environmentally friendly products covered by the research, similarly in the case of the studies described in Figure 6.
Line 44-45 What does it mean: “It is found that the discrete choice model stimulates consumers' desire to buy environmentally friendly products much higher than the conjoint analysis method.” Do the methods stimulate the tendency to buy?
368-381 It is difficult to understand how the research model could arouse consumer enthusiasm. Maybe the application of this model to research and then to improve marketing activities was so accurate that the effects aroused enthusiasm. This is not explained by the authors.
Figure 4. Primitive appearance and inappropriate graphic elements
Figure 5. Incomprehensible title. What does it mean: before and after consumers?
Figure 6. The appearance of this drawing is significantly different from the appearance of Figure 5. It would be good to make them similar in color, font, etc. In addition, readers may be curious about which environmentally friendly products are involved, because the results of research for them differ significantly.
Figure 7 shows trends. There is no explanation why charts made up to 2015 are described as trends if it is the past from 8 years ago.
147-148 sentence is badly formulated (pleonasm)
153-154 sentence is incomprehensible.
173-175 sentence is incomprehensible. Maybe it needs to be split into 2 shorter sentences?
229-230 badly formulated sentence
241-244 too long and incomprehensible sentence
361-363 sentence, without predicate
Author Response
Comments and Suggestions for Authors
1.In the introduction/summary, it is worth giving examples of specific products, then the article will be more understandable and useful for environmentally friendly products covered by the research, similarly in the case of the studies described in Figure 6.
Response: Thank you very much for your innovative comments. This paper takes energy-saving appliances as an example to analyze their product consumption models and trend predictions, and proposes two consumption models for consumption concepts and supply and demand issues, studying residents' consumption of environmentally friendly goods.
2.Line 44-45 What does it mean: “It is found that the discrete choice model stimulates consumers' desire to buy environmentally friendly products much higher than the conjoint analysis method.” Do the methods stimulate the tendency to buy?
Response: Thank you very much for your innovative comments. The introduction of this article mainly explains the research purpose and significance of the article. The description in lines 44 to 45 is indeed not appropriate. Therefore, we have made improvements in the introduction of the newly revised manuscript.
3.368-381 It is difficult to understand how the research model could arouse consumer enthusiasm. Maybe the application of this model to research and then to improve marketing activities was so accurate that the effects aroused enthusiasm. This is not explained by the authors.
Response: Thank you very much for your innovative comments. The discrete selection model is conducive to highlighting the value of eco-friendly goods themselves and highlighting the contribution of eco-friendly goods to the overall utility compared to other ordinary goods, thus it is more conducive to arousing consumer purchasing enthusiasm. We have explained this in the analysis section at the end of Figure 5.
4.Figure 4. Primitive appearance and inappropriate graphic elements
Response: Thank you very much for your innovative comments. The description in Figure 4 is indeed not reasonable enough, so we have made improvements to the graphic elements in Figure 4 and added them to the newly revised manuscript.
5.Figure 5. Incomprehensible title. What does it mean: before and after consumers?
Response: Thank you very much for your innovative comments. This article is based on two types of consumer models to assist decision-making on residents' consumption, and uses Figure 5 to compare the changes in consumption desires of residents of different age groups before and after applying the two types of consumer models.
6.Figure 6. The appearance of this drawing is significantly different from the appearance of Figure 5. It would be good to make them similar in color, font, etc. In addition, readers may be curious about which environmentally friendly products are involved, because the results of research for them differ significantly.
Response: Thank you very much for your innovative comments. Based on the modification suggestions, we have unified the graphic style of Figures 5 and 6, and introduced the environmentally friendly products designed in Figure 6, which will be presented in the experimental section of the newly revised manuscript.
7.Figure 7 shows trends. There is no explanation why charts made up to 2015 are described as trends if it is the past from 8 years ago.
Response: Thank you very much for your innovative comments. This article has made corresponding modifications to Figure 7, which mainly uses joint analysis and discrete selection model analysis to simulate the consumption of environmental goods by residents from 1980 to 2020.
8.Comments on the Quality of English Language
147-148 sentence is badly formulated (pleonasm)
153-154 sentence is incomprehensible.
173-175 sentence is incomprehensible. Maybe it needs to be split into 2 shorter sentences?
229-230 badly formulated sentence
241-244 too long and incomprehensible sentence
361-363 sentence, without predicate
Response: According to your comments, we have carefully checked and revised the article, and corrected the language and syntax error pointed out in the newly revised manuscript.
Author Response File: 
Author Response.docx
Reviewer 2 Report
1. In the introduction, your motivation to do this research is not clear. It is very imaprtant that you clearly mentioed why you are conducting this research.
2. In the introduction you have to clear tell your reader about your hypotheses.
3. You have to provide more relvant literature and more recent literature.
4. Authors could read following literatures-
Hasan, F., Bellenstedt, M.F.R. and Islam, M.R. (2023). The impact of demand and supply disruptions during the Covid-19 crisis on firm productivity. Global Journal of Flexible Systems Management. 24(1), 87-105.
Meiryani, M., Tandyopranoto, C.D., Emanuel, J., Lindawati, A., Fahlevi, M., Aljuaid, M., and Hasan, F., (2022). The effect of global price movements on the energy sector commodity on Bitcoin price movement during the Covid-19 pandemic. Heliyon, 8(10), e10820.
5. Authors could explain their models in more details.
6. Need more explanation in methodology section.
7. Authors have to be very clearly mention their final finadings in their conclusion.
Need proofreading
Author Response
- In the introduction, your motivation to do this research is not clear. It is very imaprtant that you clearly mentioed why you are conducting this research.
Response: Thank you very much for your comments. Due to the current residents' incorrect understanding of the consumption concept of environmental protection goods, which has caused an imbalance in market supply and demand, and seriously affected the sustainable development of environmental protection product manufacturing enterprises. Therefore, this article conducts in-depth research on the consumption model and trend prediction of environmental protection goods for residents.
- In the introduction you have to clear tell your reader about your hypotheses.
Response: Thank you very much for your comments. This article assumes that consumer preferences have a positive and positive impact on residents' consumption models and trend predictions of environmentally friendly goods. Two analytical models, namely the joint analysis method and the discrete choice model, are proposed for consumers' purchasing behavior when purchasing environmentally friendly goods.
- You have to provide more relvant literature and more recent literature.
Response: Thank you very much for your comments. Based on your guidance, we have added more recent literature to the article and added it to the reference section of the newly revised manuscript.
- Authors could read following literatures-
Hasan, F., Bellenstedt, M.F.R. and Islam, M.R. (2023). The impact of demand and supply disruptions during the Covid-19 crisis on firm productivity. Global Journal of Flexible Systems Management. 24(1), 87-105.
Meiryani, M., Tandyopranoto, C.D., Emanuel, J., Lindawati, A., Fahlevi, M., Aljuaid, M., and Hasan, F., (2022). The effect of global price movements on the energy sector commodity on Bitcoin price movement during the Covid-19 pandemic. Heliyon, 8(10), e10820.
Response: Thank you very much for your suggestions. We have carefully read these two literature and made corresponding improvements to the content of this article. We have added these two literature to the references in the newly revised manuscript, increasing the objectivity of this study.
- Authors could explain their models in more details.
Response: Thank you very much for your suggestions. This article mainly analyzes the joint analysis method and the discrete selection model based on consumer preference theory. The descriptions of these two models are indeed not sufficient. Therefore, we have provided a more comprehensive explanation of the relevant principles of the two models in the newly revised manuscript.
- Need more explanation in methodology section.
Response: Thank you very much for your comments. We have provided a more in-depth explanation of the consumption analysis model in the formula algorithm section of the newly revised manuscript, which makes the research method in this article more specific in analyzing the consumption model and trend prediction of environmental goods for residents.
- Authors have to be very clearly mention their final finadings in their conclusion.
Response: Thank you very much for your comments. We have carefully checked the article and found that some of the descriptions were indeed unreasonable. Therefore, we have reorganized the language to make the description more clear and objective.
Author Response File: Author Response.docx
Reviewer 3 Report
This manuscript proposes two consumption models to analyze the consumption of environmentally friendly goods by residents. The authors first rank and order the product with the combined analysis method. Then, they analyze consumer preferences for environmentally friendly products based on consumption behavior.
I went through the manuscript carefully. At the detailed level, the following notes are my suggestions:
1) Although the ABSTRACT structure is good, the philosophy of using the proposed method should be explained.
2) In my opinion, the INTRODUCTION section needs to be revised. In this section there should be three points: 1) motivation, 2) summary of challenges of previous studies, and 3) contribution. Also, the research contributions should be mentioned in a bullet-form at the end of the INTRODUCTION.
3) The authors do not clearly indicate where they obtained the dataset. Also, the description of dataset pre-processing is an important part of a research that is unfortunately missing here. Adding explanations in this regard can be useful for the reader.
4) It is not clear to me which formulas were invented by the authors themselves and which ones are derived from other references. I found evidence that some formulas are derived from other references and there are similarities.
5) I suggest to use some new and relevant references to enrich the background. For example, the following articles may be appropriate:
https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcbb.12614
file:///C:/Users/a/Downloads/3165-7422-1-PB.pdf
6) I recommend adding one or two variance analysis regarding metrics to the manuscript in the tests section.
7) There are still some grammatical errors in the manuscript. Authors should use software such as Grammarly for proof-checking.
8) The tense of the verbs in the CONCLUSION section must be past tense. In this section, the most important numerical improvements of the proposed method should be mentioned and marginal explanations should be avoided. Also, the suggestions mentioned for further research should be presented in a new paragraph.
7) There are still some grammatical errors in the manuscript. Authors should use software such as Grammarly for proof-checking.
8) The tense of the verbs in the CONCLUSION section must be past tense. In this section, the most important numerical improvements of the proposed method should be mentioned and marginal explanations should be avoided. Also, the suggestions mentioned for further research should be presented in a new paragraph.
Author Response
This manuscript proposes two consumption models to analyze the consumption of environmentally friendly goods by residents. The authors first rank and order the product with the combined analysis method. Then, they analyze consumer preferences for environmentally friendly products based on consumption behavior.
I went through the manuscript carefully. At the detailed level, the following notes are my suggestions:
1) Although the ABSTRACT structure is good, the philosophy of using the proposed method should be explained.
Response: Thank you very much for your comments. On the basis of quantifying changes in residents' consumption, this article proposes two consumption models for consumption concepts and supply and demand issues, and analyzes residents' consumption of environmentally friendly goods.
2) In my opinion, the INTRODUCTION section needs to be revised. In this section there should be three points: 1) motivation, 2) summary of challenges of previous studies, and 3) contribution. Also, the research contributions should be mentioned in a bullet-form at the end of the INTRODUCTION.
Response: Thank you very much for your suggestions. Based on the revision suggestions, we have made in-depth revisions to the introduction section of the article. In the first paragraph of the introduction, we have explained the research motivation of this article and summarized previous research. Finally, in the last paragraph of the introduction, we have briefly explained the research contributions of this article.
3) The authors do not clearly indicate where they obtained the dataset. Also, the description of dataset pre-processing is an important part of a research that is unfortunately missing here. Adding explanations in this regard can be useful for the reader.
Response: Thank you very much for your suggestions. This article takes consumer users of a certain brand's online shopping transaction physical store as the research object, and uses their consumption records as the dataset to conduct experimental analysis on their consumption preferences for environmentally friendly products.
4) It is not clear to me which formulas were invented by the authors themselves and which ones are derived from other references. I found evidence that some formulas are derived from other references and there are similarities.
Response: Thank you very much for your comments. Some formulas in this article have cited relevant literature. In order to improve the objectivity of the formula algorithm in this article, we have cited references in the formula section of the newly revised manuscript and supplemented them in the article.
5) I suggest to use some new and relevant references to enrich the background. For example, the following articles may be appropriate:
https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcbb.12614
file:///C:/Users/a/Downloads/3165-7422-1-PB.pdf
Response: Thank you very much for your suggestions. Based on your guidance, we have carefully read the literature and cited it in the research content of this article. Finally, we have supplemented it in the reference section of the newly revised manuscript.
6) I recommend adding one or two variance analysis regarding metrics to the manuscript in the tests section.
Response: Thank you very much for your suggestions. We have conducted an analysis of variance on the consumption preferences of environmental goods among residents of different age groups, and presented the specific results in Table 2 of the newly revised manuscript.
Comments on the Quality of English Language
7) There are still some grammatical errors in the manuscript. Authors should use software such as Grammarly for proof-checking.
Response: Thank you very much for your comments. We have checked the organization and description of the language in this article in detail, improved some of the language, and corrected relevant syntax error.
8) The tense of the verbs in the CONCLUSION section must be past tense. In this section, the most important numerical improvements of the proposed method should be mentioned and marginal explanations should be avoided. Also, the suggestions mentioned for further research should be presented in a new paragraph.
Response: Thank you very much for your suggestions. We have made modifications to the tense of the conclusion language and provided an explanation of future research prospects, making the conclusion section more comprehensive.
Author Response File: Author Response.docx
Reviewer 4 Report
Residential Environmental Protection Commodity Consumption Model and Trend Forecast Based on Consumer Preference
Global Considerations:
The article is (low) interesting, guiding to understand how new consumption models can lead us to approaches more sustainable of commodities by the population.
It was tested two consumption models: to analyze consumers' consumption preference for environmental protection products, first, the prediction accuracy of consumption preference, and, second, consumption desire.
The sample is ok (more than 300 participants is a good figure…), but not well balanced. It is not very clear how the author defined the participants…
There is a lack of theoretical models about consumer behaviour and sustainable models. The literature review is too much focused in other experimental researches not so in theoretical aspects.
A large number of mathematical models are presented, just to justify some authors decisions without a logical framework.
Figure #4 could be improved…
Final Considerations:
The article is written in a regular English, with few mistakes, but is not a strong article to be approved to this Journal. It does not give a significant contribution to the science.
The English language is ok.
Author Response
The article is (low) interesting, guiding to understand how new consumption models can lead us to approaches more sustainable of commodities by the population.
It was tested two consumption models: to analyze consumers' consumption preference for environmental protection products, first, the prediction accuracy of consumption preference, and, second, consumption desire.
- The sample is ok (more than 300 participants is a good figure…), but not well balanced. It is not very clear how the author defined the participants…
Response: Thank you very much for your suggestions. At the beginning of the experimental section, this article provides an introduction to 329 participants who have had more than 2 consumption experiences in the physical stores selected in this article. This article plans them according to their respective age groups.
- There is a lack of theoretical models about consumer behaviour and sustainable models. The literature review is too much focused in other experimental researches not so in theoretical aspects.
Response: Thank you very much for your suggestions. Based on your feedback, we have made revisions and supplements to the literature review section. In the literature review section of the newly revised manuscript, we have added research on consumer behavior theory models and sustainable models.
- A large number of mathematical models are presented, just to justify some authors decisions without a logical framework.
Response: Thank you very much for your comments. In this article, the theoretical model classification of the conjoint analysis method and the discrete choice model is introduced, which does not highlight the theoretical logic of this article. Therefore, in the experimental part of the revised draft, this article only conducts experimental analysis on the utility function model of the conjoint analysis method and the multiple choice Logit model in the discrete choice model.
4.Figure #4 could be improved…
Response: Thank you very much for your suggestions. We have supplemented and modified Figure 4 and added it to Chapter 2.3 of the newly revised manuscript of this article.
Author Response File: Author Response.docx
Reviewer 5 Report
Thank you for the opportunity to review the manuscript titled “Residential Environmental Protection Commodity Consumption Model and Trend Forecast Based on Consumer Preference”.
This paper selects three environmentally friendly commodities in order to observe the accuracy of the two model algorithms on consumers' consumption preferences (the conjoint analysis method and discrete choice model). The result of the research is what methodology is the best for prediction accuracy of consumption preference.
However, it requires to enhance justify why authors also analyze "the consumption desire of environmental protection products before and after consumers" as well as why they use segment by age interval.
Moreover, my doubt is the contributions of this study to the frontier of the knowledge such as Theory of Planned Behavior, development of social economy or environmentally friendly products. It is not a general scenery, so authors must relation it in order to develop arguments with the comparison of both methodologies and their results expected.
There are mistakes, for example, the most visible are in the graphics (preference for environmental protection, analysis methods, etc.)
Author Response
Thank you for the opportunity to review the manuscript titled “Residential Environmental Protection Commodity Consumption Model and Trend Forecast Based on Consumer Preference”.
- This paper selects three environmentally friendly commodities in order to observe the accuracy of the two model algorithms on consumers' consumption preferences (the conjoint analysis method and discrete choice model). The result of the research is what methodology is the best for prediction accuracy of consumption preference.
However, it requires to enhance justify why authors also analyze "the consumption desire of environmental protection products before and after consumers" as well as why they use segment by age interval.
Response: Thank you very much for your comments. To verify the consumer preference based consumption model and trend prediction of environmentally friendly goods for residents, this article analyzed the changes in consumer consumption before and after the application of the consumption analysis model. Due to significant differences in consumer preferences among different age groups, this article conducted experiments on consumer consumption changes among different age groups.
- Moreover, my doubt is the contributions of this study to the frontier of the knowledge such as Theory of Planned Behavior, development of social economy or environmentally friendly products. It is not a general scenery, so authors must relation it in order to develop arguments with the comparison of both methodologies and their results expected.
Response: Thank you very much for your comments. With the development of social economy and environmental protection concepts, the role of residents' consumption models and trend prediction analysis of environmentally friendly goods in promoting the healthy development of environmentally friendly goods and manufacturing enterprises is becoming increasingly significant. In this context, this article analyzes the changes in their consumption based on consumer preferences.
- There are mistakes, for example, the most visible are in the graphics (preference for environmental protection, analysis methods, etc.)
Response: Thank you very much for your comments. According to your guidance, we have revised the corresponding parts of the article, especially the errors in the graphic part, which we have revised in the newly revised manuscript.
Author Response File: Author Response.docx
Round 2
Reviewer 1 Report
Good job!
Author Response
Comments and Suggestions for Authors
1.In the introduction/summary, it is worth giving examples of specific products, then the article will be more understandable and useful for environmentally friendly products covered by the research, similarly in the case of the studies described in Figure 6.
Response: Thank you very much for your innovative comments. This paper takes energy-saving appliances as an example to analyze their product consumption models and trend predictions, and proposes two consumption models for consumption concepts and supply and demand issues, studying residents' consumption of environmentally friendly goods.
2.Line 44-45 What does it mean: “It is found that the discrete choice model stimulates consumers' desire to buy environmentally friendly products much higher than the conjoint analysis method.” Do the methods stimulate the tendency to buy?
Response: Thank you very much for your innovative comments. The introduction of this article mainly explains the research purpose and significance of the article. The description in lines 44 to 45 is indeed not appropriate. Therefore, we have made improvements in the introduction of the newly revised manuscript.
3.368-381 It is difficult to understand how the research model could arouse consumer enthusiasm. Maybe the application of this model to research and then to improve marketing activities was so accurate that the effects aroused enthusiasm. This is not explained by the authors.
Response: Thank you very much for your innovative comments. The discrete selection model is conducive to highlighting the value of eco-friendly goods themselves and highlighting the contribution of eco-friendly goods to the overall utility compared to other ordinary goods, thus it is more conducive to arousing consumer purchasing enthusiasm. We have explained this in the analysis section at the end of Figure 5.
4.Figure 4. Primitive appearance and inappropriate graphic elements
Response: Thank you very much for your innovative comments. The description in Figure 4 is indeed not reasonable enough, so we have made improvements to the graphic elements in Figure 4 and added them to the newly revised manuscript.
5.Figure 5. Incomprehensible title. What does it mean: before and after consumers?
Response: Thank you very much for your innovative comments. This article is based on two types of consumer models to assist decision-making on residents' consumption, and uses Figure 5 to compare the changes in consumption desires of residents of different age groups before and after applying the two types of consumer models.
6.Figure 6. The appearance of this drawing is significantly different from the appearance of Figure 5. It would be good to make them similar in color, font, etc. In addition, readers may be curious about which environmentally friendly products are involved, because the results of research for them differ significantly.
Response: Thank you very much for your innovative comments. Based on the modification suggestions, we have unified the graphic style of Figures 5 and 6, and introduced the environmentally friendly products designed in Figure 6, which will be presented in the experimental section of the newly revised manuscript.
7.Figure 7 shows trends. There is no explanation why charts made up to 2015 are described as trends if it is the past from 8 years ago.
Response: Thank you very much for your innovative comments. This article has made corresponding modifications to Figure 7, which mainly uses joint analysis and discrete selection model analysis to simulate the consumption of environmental goods by residents from 1980 to 2020.
8.Comments on the Quality of English Language
147-148 sentence is badly formulated (pleonasm)
153-154 sentence is incomprehensible.
173-175 sentence is incomprehensible. Maybe it needs to be split into 2 shorter sentences?
229-230 badly formulated sentence
241-244 too long and incomprehensible sentence
361-363 sentence, without predicate
Response: According to your comments, we have carefully checked and revised the article, and corrected the language and syntax error pointed out in the newly revised manuscript.
Reviewer 2 Report
Accept in present form
Author Response
Comments and Suggestions for Authors
- In the introduction, your motivation to do this research is not clear. It is very imaprtant that you clearly mentioed why you are conducting this research.
Response: Thank you very much for your comments. Due to the current residents' incorrect understanding of the consumption concept of environmental protection goods, which has caused an imbalance in market supply and demand, and seriously affected the sustainable development of environmental protection product manufacturing enterprises. Therefore, this article conducts in-depth research on the consumption model and trend prediction of environmental protection goods for residents.
- In the introduction you have to clear tell your reader about your hypotheses.
Response: Thank you very much for your comments. This article assumes that consumer preferences have a positive and positive impact on residents' consumption models and trend predictions of environmentally friendly goods. Two analytical models, namely the joint analysis method and the discrete choice model, are proposed for consumers' purchasing behavior when purchasing environmentally friendly goods.
- You have to provide more relvant literature and more recent literature.
Response: Thank you very much for your comments. Based on your guidance, we have added more recent literature to the article and added it to the reference section of the newly revised manuscript.
- Authors could read following literatures-
Hasan, F., Bellenstedt, M.F.R. and Islam, M.R. (2023). The impact of demand and supply disruptions during the Covid-19 crisis on firm productivity. Global Journal of Flexible Systems Management. 24(1), 87-105.
Meiryani, M., Tandyopranoto, C.D., Emanuel, J., Lindawati, A., Fahlevi, M., Aljuaid, M., and Hasan, F., (2022). The effect of global price movements on the energy sector commodity on Bitcoin price movement during the Covid-19 pandemic. Heliyon, 8(10), e10820.
Response: Thank you very much for your suggestions. We have carefully read these two literature and made corresponding improvements to the content of this article. We have added these two literature to the references in the newly revised manuscript, increasing the objectivity of this study.
- Authors could explain their models in more details.
Response: Thank you very much for your suggestions. This article mainly analyzes the joint analysis method and the discrete selection model based on consumer preference theory. The descriptions of these two models are indeed not sufficient. Therefore, we have provided a more comprehensive explanation of the relevant principles of the two models in the newly revised manuscript.
- Need more explanation in methodology section.
Response: Thank you very much for your comments. We have provided a more in-depth explanation of the consumption analysis model in the formula algorithm section of the newly revised manuscript, which makes the research method in this article more specific in analyzing the consumption model and trend prediction of environmental goods for residents.
- Authors have to be very clearly mention their final finadings in their conclusion.
Comments on the Quality of English Language：Need proofreading
Response: Thank you very much for your comments. We have carefully checked the article and found that some of the descriptions were indeed unreasonable. Therefore, we have reorganized the language to make the description more clear and objective.
Reviewer 3 Report
This manuscript proposes two consumption models to analyze the consumption of environmentally friendly goods by residents. The authors first rank and order the product with the combined analysis method. Then, they analyze consumer preferences for environmentally friendly products based on consumption behavior.
I went through the manuscript carefully. At the detailed level, the following notes are my suggestions:
1) In my opinion, the INTRODUCTION section needs to be revised. In this section there should be three points: 1) motivation, 2) summary of challenges of previous studies, and 3) contribution. Also, the research contributions should be mentioned in a bullet-form at the end of the INTRODUCTION.
2) The authors do not clearly indicate where they obtained the dataset. Also, the description of dataset pre-processing is an important part of a research that is unfortunately missing here. Adding explanations in this regard can be useful for the reader.
3) I suggest to use some new and relevant references to enrich the background. For example, the following articles may be appropriate:
https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcbb.12614
file:///C:/Users/a/Downloads/3165-7422-1-PB.pdf
4) I recommend adding one or two variance analysis regarding metrics to the manuscript in the tests section.
5) There are still some grammatical errors in the manuscript. Authors should use software such as Grammarly for proof-checking.
There are still some grammatical errors in the manuscript. Authors should use software such as Grammarly for proof-checking.
Author Response
This manuscript proposes two consumption models to analyze the consumption of environmentally friendly goods by residents. The authors first rank and order the product with the combined analysis method. Then, they analyze consumer preferences for environmentally friendly products based on consumption behavior.
I went through the manuscript carefully. At the detailed level, the following notes are my suggestions:
1) In my opinion, the INTRODUCTION section needs to be revised. In this section there should be three points: 1) motivation, 2) summary of challenges of previous studies, and 3) contribution. Also, the research contributions should be mentioned in a bullet-form at the end of the INTRODUCTION.
Response: Thank you for your concern. The introduction has been revised, and a summary of the challenges, motivation, and contribution has been added.
2) The authors do not clearly indicate where they obtained the dataset. Also, the description of dataset pre-processing is an important part of a research that is unfortunately missing here. Adding explanations in this regard can be useful for the reader.
Response: The data collection process is straightforward and users only need to consider their priorities, not the size of their preferences. Linkage analysis requires customers to exchange between different attributes, rather than directly asking customers about the desired level and importance of attributes. Using the conjoint analysis method, consumers analyze the preference degree of a certain commodity, and establish a basic preference model. This article takes consumer users of a certain brand's online shopping transaction physical store as the research object, and uses their consumption records as the dataset to conduct experimental analysis on their consumption preferences for environmentally friendly products. In this analysis, 329 consumers were randomly selected from the consumer user group of the physical store, and these 329 consumers had more than 2 consumption experiences in the physical store. This article divided their age groups into: under 18 years old, 18-25 years old, 26-40 years old, 41-60 years old, and over 60 years old. The article first analyzes the age group of residents who purchase environmentally friendly products. The data collection procedure can be found in [Wang F, Wang H F, Cho J H. Consumer Preference for Yogurt Packaging Design Using Conjoint Analysis. Sustainability, 2022, 14(6): Article Number: 3463].
3) I suggest to use some new and relevant references to enrich the background. For example, the following articles may be appropriate:
https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcbb.12614
file:///C:/Users/a/Downloads/3165-7422-1-PB.pdf
Response: Thank you for your suggestion. The literature has been enhanced with the given reference and several other recent relevant studies.
4) I recommend adding one or two variance analysis regarding metrics to the manuscript in the tests section.
Response: The variance analysis has been added to manuscript reported in table 2 and 3.
5) There are still some grammatical errors in the manuscript. Authors should use software such as Grammarly for proof-checking.
Response: The manuscript has been extensively edited for typos and grammatical mistakes.
Reviewer 5 Report
Congratulations
Author Response
Comments and Suggestions for Authors
Thank you for the opportunity to review the manuscript titled “Residential Environmental Protection Commodity Consumption Model and Trend Forecast Based on Consumer Preference”.
- This paper selects three environmentally friendly commodities in order to observe the accuracy of the two model algorithms on consumers' consumption preferences (the conjoint analysis method and discrete choice model). The result of the research is what methodology is the best for prediction accuracy of consumption preference.
However, it requires to enhance justify why authors also analyze "the consumption desire of environmental protection products before and after consumers" as well as why they use segment by age interval.
Response: Thank you very much for your comments. To verify the consumer preference based consumption model and trend prediction of environmentally friendly goods for residents, this article analyzed the changes in consumer consumption before and after the application of the consumption analysis model. Due to significant differences in consumer preferences among different age groups, this article conducted experiments on consumer consumption changes among different age groups.
- Moreover, my doubt is the contributions of this study to the frontier of the knowledge such as Theory of Planned Behavior, development of social economy or environmentally friendly products. It is not a general scenery, so authors must relation it in order to develop arguments with the comparison of both methodologies and their results expected.
Response: Thank you very much for your comments. With the development of social economy and environmental protection concepts, the role of residents' consumption models and trend prediction analysis of environmentally friendly goods in promoting the healthy development of environmentally friendly goods and manufacturing enterprises is becoming increasingly significant. In this context, this article analyzes the changes in their consumption based on consumer preferences.
- There are mistakes, for example, the most visible are in the graphics (preference for environmental protection, analysis methods, etc.)
Response: Thank you very much for your comments. According to your guidance, we have revised the corresponding parts of the article, especially the errors in the graphic part, which we have revised in the newly revised manuscript.
Round 3
Reviewer 3 Report
The authors satisfied my comments. I have no other comment.
