Exploring Hotel Customer Experiences in Japan via Big Data and Large Language Model Analysis

Research Project

Project/Area Number	24K21025
Research Category	Grant-in-Aid for Early-Career Scientists
Allocation Type	Multi-year Fund
Review Section	Basic Section 80020:Tourism studies-related
Research Institution	Ritsumeikan Asia Pacific University
Principal Investigator	胡飛瑜立命館アジア太平洋大学, サステイナビリティ観光学部, 准教授 (40981204)
Project Period (FY)	2024-04-01 – 2027-03-31
Project Status	Granted (Fiscal Year 2024)
Budget Amount *help	¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000) Fiscal Year 2026: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000) Fiscal Year 2025: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000) Fiscal Year 2024: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords	Big Data / Large Language Model / Customer Experiences
Outline of Research at the Start	This study explores using big data and Large Language Models (LLMs) to enhance customer hotel experiences. Integrating LLMs with big data analytics, it aims to provide insights for improving satisfaction and revitalizing Japan's hospitality sector through AI-driven innovations.