What question did this study set out to answer?

To evaluate academic perspectives and experiences regarding the practical, methodological, and ethical implications of using generative AI-produced synthetic data in scientific research.

September 17, 2026International Journal of Contemporary Hospitality Management

Synthetic data in research: expert perceptions and a protocol for responsible GenAI use

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Authors

TDTarik Doğru MMMakarand Mody ABAnil Bilgihan

Discussion

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Overview

Expert consensus study reveals caution regarding generative AI synthetic data among scholars, indicating the need for strict human verification and transparency.

Key Points

To evaluate academic perspectives and experiences regarding the practical, methodological, and ethical implications of using generative AI-produced synthetic data in scientific research.
Documented and evaluated perspectives from 32 international hospitality and tourism scholars, including senior professors, journal editors, and methodology specialists (N=32).
Scholars voiced significant caution, agreeing that synthetic data cannot serve as a complete substitute for empirical data gathered from real human subjects.
Synthetic data was identified as a viable supplementary resource for preliminary tasks—such as scale development, pilot trials, and robustness tests—contingent on rigorous human verification and transparency.
Introduced the GUARD Protocol as a preliminary, perception-informed framework to establish community standards and boundaries for synthetic data usage.

Cite This Study

Doğru et al. (2026) studied this question.

synapsesocial.com/papers/6aabb6f95f706d05830e5cbe https://doi.org/10.1108/ijchm-02-2026-0167

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September 17, 2026International Journal of Contemporary Hospitality Management

Synthetic data in research: expert perceptions and a protocol for responsible GenAI use

View Full Paper

Ask AI

Bookmark

Authors

TDTarik Doğru MMMakarand Mody ABAnil Bilgihan

Discussion

Member takes

Overview

Expert consensus study reveals caution regarding generative AI synthetic data among scholars, indicating the need for strict human verification and transparency.

Key Points

To evaluate academic perspectives and experiences regarding the practical, methodological, and ethical implications of using generative AI-produced synthetic data in scientific research.
Documented and evaluated perspectives from 32 international hospitality and tourism scholars, including senior professors, journal editors, and methodology specialists (N=32).
Scholars voiced significant caution, agreeing that synthetic data cannot serve as a complete substitute for empirical data gathered from real human subjects.
Synthetic data was identified as a viable supplementary resource for preliminary tasks—such as scale development, pilot trials, and robustness tests—contingent on rigorous human verification and transparency.
Introduced the GUARD Protocol as a preliminary, perception-informed framework to establish community standards and boundaries for synthetic data usage.

Cite This Study

Doğru et al. (2026) studied this question.

synapsesocial.com/papers/6aabb6f95f706d05830e5cbe https://doi.org/10.1108/ijchm-02-2026-0167

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