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Does the introduction explain the objective of the research presented in the preprint?

Yes

The introduction clearly states the purpose of the study, which is focused on studying the impact of technological innovations (AI, IoT, data analytics) in the Saudi Arabian hospitality sector in line with the strategic goals of “Vision 2030”. The author clearly identifies the need for the study and its practical significance in the context of increasing the operational efficiency of the industry.

Are the methods well-suited for this research?

Highly appropriate

The research methodology (SEM-PLS) is fully consistent with the objectives and ensures reliable data analysis. The methods are performed in accordance with academic standards, which creates a solid foundation for the validity of the conclusions. The research design, including operationalization of variables and model testing, is transparent and methodologically sound

Are the conclusions supported by the data?

Highly supported

The conclusions are fully consistent with the presented empirical data. The author shows academic caution and avoids excessive generalizations, which is especially noticeable when discussing hypotheses that were not confirmed (for example, H2). The interpretation of the obtained results is realistic and logically follows from the statistical analysis.

Are the data presentations, including visualizations, well-suited to represent the data?

Highly appropriate and clear

Visualizations and tables are presented with high accuracy, allowing the reader to easily understand the research results and key trends. The presentation of data fully complies with academic standards and effectively facilitates the interpretation of the results of the research model (SEM-PLS)

How clearly do the authors discuss, explain, and interpret their findings and potential next steps for the research?

Very clearly

The authors discuss the research results in depth and clearly, which is confirmed by the argumentative explanation of both positive and rejected hypotheses. The discussion section fully reflects the practical significance of the results and clearly identifies potential directions for further research, which gives the paper academic clarity and perspective.

Is the preprint likely to advance academic knowledge?

Highly likely

The paper represents a significant contribution to understanding the role of technological innovations (AI, IoT, data analytics) in the tourism and hospitality sector. It fully responds to the strategic goals of “Vision 2030”, thereby significantly expanding scientific knowledge on the practical application of digital transformation in the field of hospitality.

Would it benefit from language editing?

No

The language style of the work is academically sound, clear, and easy to understand. Minor linguistic nuances do not affect the perception of the content, and the text as a whole is professionally structured and presented.

Would you recommend this preprint to others?

Yes, it’s of high quality

This paper is of high quality, as it effectively integrates the theoretical framework (TAM) with the contemporary economic context of Saudi Arabia’s “Vision 2030”. The study includes a solid methodological base (SEM-PLS) and demonstrates high academic integrity: the author does not shy away from rejecting the hypothesis (H2) and offers a logical, practical explanation (integration barriers), which gives the paper practical value for policymakers. The study represents a significant contribution to the field of tourism and technology integration.

Is it ready for attention from an editor, publisher or broader audience?

Yes, after minor changes

The paper is ready for the attention of the editor and publisher, as its structure, methodology, and conclusions are already at a high level. Minor technical and stylistic refinements (such as terminological consistency and a clearer definition of the research area) would add additional academic solidity to the paper.

Competing interests

The author declares that they have no competing interests.

Use of Artificial Intelligence (AI)

The author declares that they did not use generative AI to come up with new ideas for their review.