- Does the introduction explain the objective of the research presented in the preprint?
- Yes
- Are the methods well-suited for this research?
- Highly appropriate
- The use of mixed study methodology to obtain an in-depth understanding of perceptions and experiences
- Are the conclusions supported by the data?
- Highly supported
- The conclusions were gotten from qualitative data and thematic analysis results, and these were clearly interpretive and exploratory.
- Are the data presentations, including visualizations, well-suited to represent the data?
- Highly appropriate and clear
- The data presentations were well suited and aligned with the study type, and the themes were clearly structured too.
- How clearly do the authors discuss, explain, and interpret their findings and potential next steps for the research?
- Very clearly
- The findings were clearly structured into themes and interpreted, and recommendations were relevant, detailed, and well explained.
- Is the preprint likely to advance academic knowledge?
- Highly likely
- Would it benefit from language editing?
- No
- Would you recommend this preprint to others?
- Yes, it’s of high quality
- It is thought-provoking and offers both theoretical and realistic contributions. I highly recommend it for leadership studies, management practices and organizations.
- Is it ready for attention from an editor, publisher or broader audience?
- Yes, as it is
Competing interests
The authors declare that they have no competing interests.
Use of Artificial Intelligence (AI)
The authors declare that they did not use generative AI to come up with new ideas for their review.