Luxury Car Data Analysis: A Literature Review

Round 1

Reviewer 1 Report

The authors provide a comprehensive study on luxury car data analysis covering multiple aspects of the research area. The paper is well written and discusses each of the components in detail.

I have a suggestions which can improve the manuscript.

1. The authors can provide a taxonomy diagram to provide an overview of the different components.

2. The authors describe the ways of data collection from customers in Section 2.1. I suggest to increase more information at each of the points, like how many users/vehicles were considered in each of the study, what were the categories. Finally, add a summary of Insights from the authors to give suggestions which way is applicable in which scenario.

3. Section 2.3 discusses about user profiling and segmentation. There are several existing approaches on product recommendation based on user segmentation. The authors can clarify the availability of automated approaches, such as, predictive models for this specifically for luxury cars.

4. Section 2.5 discusses the predictive analytics based approaches. The authors can provide some details about these approaches, their quantitative performance compared to existing approaches.

Author Response

Summary of Changes

We warmly thank the Editor for the consideration of our manuscript. We also thank the reviewers for spending time reviewing the paper and for providing questions, suggestions, and insights that helped us improve our manuscript. The comments we received from all the reviewers were considerably helpful.

Here, we summarize the changes we made to the manuscript and the responses to specific reviewer comments. To facilitate reading our responses, we repeat each comment we received providing our response below. For the reviewers’ and Editor’s convenience, the revised manuscript also uses blue colour for the text that has been added and/or significantly modified.

Response to Reviewer 

Comment: The authors can provide a taxonomy diagram to provide an overview of the different components.

Response: Thanks for the suggestion, we have added Figure 1 in the Introduction.

Comment: The authors describe Section 2.1. I suggest increasing more information at each of the points, like how many users/vehicles were considered in each of the studies, and what the categories were. Finally, add a summary of Insights from the authors to give suggestions on which way is applicable in which scenario.

Response: Thanks for the suggestion, we have revised Section 2.1 to summarize the crucial information about the cited literature, and a short paragraph at the end of the section to provide some insights about which way is applicable in which scenario.

Comment: Section 2.3 discusses user profiling and segmentation. There are several existing approaches to product recommendation based on user segmentation. The authors can clarify the availability of automated approaches, such as predictive models specifically for luxury cars.

Response: Thank you for the valuable comment. We revised the literature and added a paragraph on the application of product recommendation methods based on user segmentation in the context of luxury cars. Also, we reviewed the predictive models for luxury cars.

Comment: Section 2.5 discusses the predictive analytics-based approaches. The authors can provide some details about these approaches, and their quantitative performance compared to existing approaches.

Author Response File: Author Response.pdf

Reviewer 2 Report

This article exposes how the concept of luxury in cars is changing due to technological advancements and consumer influence.

It highlights the importance of analyzing luxury car data in various aspects such as economic impact, technological progress, and customer preferences.

The article is organized into sections focusing on user behavior, vehicle data, environmental data, data monetization, and the challenges and opportunities in luxury car data analysis.

The keywords of the article posed a problem: “Luxury Cars; Car Data Analysis; Data Analysis”. Please rethink about it, when your main contributions is: a literature review.

It offers insights into how luxury car manufacturers can use data analysis to enhance safety, adaptability, and environmental awareness. Maybe, limitations are missing (as suggestion).

The article provides a comprehensive overview of the current state of luxury car data analysis and its potential to shape the automotive industry. It is well-structured and covers a range of relevant topics, offering valuable information for stakeholders in the field.

I had a great interest and pleasure in reading this version, may the authors be thanked and encouraged.

I give this paper a favorable opinion.

Author Response

Summary of Changes

We warmly thank the Editor for the consideration of our manuscript. We also thank the reviewers for spending time reviewing the paper and for providing questions, suggestions, and insights that helped us improve our manuscript. The comments we received from all the reviewers were considerably helpful.

Here, we summarize the changes we made to the manuscript and the responses to specific reviewer comments. To facilitate reading our responses, we repeat each comment we received providing our response below. For the reviewers’ and Editor’s convenience, the revised manuscript also uses blue colour for the text that has been added and/or significantly modified.

Response to Reviewer 

Comment: The keywords of the article posed a problem: “Luxury Cars; Car Data Analysis; Data Analysis”. Please rethink it, when your main contribution is: a literature review.

Response: Thanks for the suggestion, we revised the keywords list.

Comment: It offers insights into how luxury car manufacturers can use data analysis to enhance safety, adaptability, and environmental awareness. Limitations may be missing (as suggested).

Response: Thank you for your comment, we have revised Section 6 by adding a short paragraph in the suggested direction.

Author Response File: Author Response.pdf