Work

The use of synthetic data in tourism

Year: 2024

Type: article

Abstract: • Large language models can support stimuli evaluation. • Synthetic data suits early research such as pretests; avoid it for main studies. • Prompt-tuning and fine-tuning improve large language model's responses.

Source: Annals of Tourism Research

DOI: 10.1016/j.annals.2024.103819

Authors: Giampaolo Viglia, Susanne J. Adler, Caroline Lancelot Miltgen, Marko Sarstedt

Institutions: University of Aosta Valley, University of Portsmouth, Ludwig-Maximilians-Universität München, Audencia Business School, Babeș-Bolyai University

Language: English

Topic: AI in Service Interactions

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,600

OpenAlex ID: W4401450221

FWCI: 3.192

Cites: 24

Cited by: 21

Related to: 10