A Study on the Audience Psychological Effects of “Cloud Tourism” Based on Webcast: A New Mechanism for Sustainable Development in the Tourism

Round 1

Reviewer 1 Report

There are some repeat sentences like " Webcast has become a popular way of "cloud tourism", and the comments data" in the study. In research part of the study it is mentioned that " The author first collected the target text data and used the ROST Content Mining 6 software's custom dictionary, filter dictionary, Chinese word segmentation, and Chinese word frequency statistics functions to process the text content, generating a high-frequency feature word table. I have no idea about Chinese language so i can not evaluate if the evaluation is right or wrong? so could you please give detailed information about text analysis

Author Response

Thank you for your suggestion. Firstly, I utilized an octopus web crawler to collect the data from comments. The collected textual data was then imported into an Excel spreadsheet, and irrelevant comments were removed. Subsequently, I imported this data into ROST Content Mining6, a text analysis software that incorporates features such as customizable word lists, filtering word lists, Chinese word segmentation, and Chinese word frequency statistics. Using this software, I conducted word segmentation on the comments in pure text format and performed word frequency analysis to generate a high-frequency feature word list. The raw data I used is presented in Table: Cloud Tourism Comment Text.xlsx（Original comment text for cloud tourism.pdf），Due to the large amount of data, the language of the original data is Chinese. Please understand and thank you very much.

Author Response File: Author Response.pdf

Reviewer 2 Report

Authors must reinforce research gaps to justify their study and how the findings can contribute to the body of knowledge.

In the “Introduction,” it is necessary to highlight the research context and the research gaps that emerge from the literature to justify the research. Furthermore, I suggest the authors include the research question guiding their study and how the paper is structured. 

Author Response

Thank you for your suggestion. I have made the necessary modifications, including the discussion on research gaps. In the "Introduction" section, I have further emphasized the research background and the existing literature gaps, as well as provided a statement clarifying the research questions. Thanks again.

Reviewer 3 Report

The authors collected the text data about cloud tourism live broadcast comments from comments on People’s Daily’s official Sina Weibo account.  Based on the Ground Theory, the authors coded 5176 comments through three stages of open coding, axial coding, and selective coding. If my understanding is correct, open coding resulted in 11 nodes (categories), and then axial coding was used to build the logical connections among these 11 nodes. The final stage of selective coding was used to extract the core categories. The final model was established as Figure 3, and then 500 comments were used to test the saturation.

 

I have to admit that I am not familiar with the method based on the Ground theory, and I believe that many of the potential readers do not, either. And therefore, I would recommend the authors to elaborate a bit more about the method. Here are my specific comments.

 

1.     If my understanding is correct, the study is exploratory. Authors established a model based on the data. Nevertheless, the authors have mentioned, in multiple parts in the manuscript, about “cognitive-affective theory.” In lines 109-112 “The "cognitive-affective" theory points out that people come into contact with things in a specific environment and generate corresponding emotions. Cognition is the basis of emotion, and emotion is the extension of cognition [11]. Actually, I was not familiar with the cognitive-affective" theory so I tried to find the reference no. 11. But I can’t access it. I would recommend the authors to cite studies that are more commonly known in the literature. Furthermore, the phrase “Cognition is the basis of emotion, and emotion is the extension of cognition” is very ambiguous. I think this theory hasn’t been properly introduced in the manuscript.

2.     Line 115: “Emotion is an individual's emotional experience based on cognition….”. It’s actually a circular reasoning: The authors use the word “emotion” to explain “emotion.”

3.     Following the first question, it is not clear how this cognitive-affective" theory plays a role in the coding process. In Line 293, it is mentioned that “the authors used the “cognitive-affective theory” as the core category” in the section of “selective coding.” It’s not clear how exactly the authors used this theory in their coding. Please specify.

4.     Please explain what “saturation” means in the Grounded Theory.

5.     The whole passage from lines 419-452 is emphasizing the importance of “physical on-the-spot tourism,” which I find redundant. The research is focusing on “cloud tourism” only. The authors did not compare “physical on-the-spot tourism,” and “cloud tourism” in their text analysis, so I don’t think the authors can infer much about “physical on-the-spot tourism.” In the discussion, I recommend the authors to focus on what they have found in their text analysis.

Author Response

Firstly, thank you for your suggestion.

1. Your understanding is correct, and I have provided a more detailed explanation of "Grounded Theory" in the paper. Additionally, I have elaborated on the "Cognitive-Affective" theory and referenced more commonly cited literature.
2. I have made modifications to and clarified the explanation of emotions.
3. While Grounded Theory possesses theoretical depth, it is primarily focused on encoding micro-level situations, making it challenging to conduct comprehensive analyses of macro-level phenomena. On the other hand, the Cognitive-Affective Processing System(CAPS) emphasizes explanation and exhibits strong constructivism at the macro level. Hence, considering the exploratory nature of Grounded Theory at the micro level and the constructive nature of CAPS at the macro level, this paper adopts the framework of the CAPS theory, incorporating elements of Grounded Theory, to provide the "Cloud Tourism" cognitive-affective model with theoretical depth and a solid foundation. I have established a new theoretical model through three-level coding, which is proposed based on the CAPS theory. The CAPS theory serves as the foundation, connecting the information obtained from the coding process.
4. Saturation serves as the basis for testing the effectiveness of coding. During the coding of the comment textual data, we retained 500 comments. After completing the three-level coding, we conducted coding again on this preserved dataset of 500 comment textual data and found no new categories emerging. This indicates the effectiveness of our coding and the credibility of our theory. This process is known as theoretical saturation testing, where the theory is considered saturated when no new categories emerge from the preserved comment textual data.
5. I have removed the discussion on "offline field tourism" and focused on the findings obtained from text analysis.

        Thanks again.

Reviewer 4 Report

This is an interesting paper on a very novel topic academically, although it has already been studied at the level of companies and institutions.

The study is based on a qualitative analysis of feedback from a webcast platform, Weibo, to its users in China. The number of comments and events analyzed is large, so the results may be statistically significant for the purposes of this article.

The conclusions are interesting, although they should include more aspects related to the research and its findings, since it focuses a lot on redefining the type of tourism and its characteristics.

 

You should do a review as there are some small errors that must be corrected:

For example, in Table 2. The table of high-frequency words. In the ranking that is established, the word "Beautiful" is repeated 2 times, in the ranking position 4 and in the 34th position. The same occurs in the ranking positions 16 and 39 with the word "Appreciation"

Author Response

Thank you very much for your suggestion. I have reviewed and made revisions to the paper, correcting any minor errors that were present. Thanks again.

Round 2

Reviewer 3 Report

The authors have addressed all of my comments in the revision.