Earticle

초록

영어

The adoption of the Internet of Things (IoT) in the hospitality industry is transforming guest experiences and operational efficiency. However, little is known about how IoT influences guest sentiment across different hotel ranks and seasonal contexts. This study addresses the gap by analyzing online hotel reviews using a text mining approach. We develop an IoT-specific relevance score to quantify IoT-related content and assess its impact on review sentiment. The results reveal that IoT enhances guest sentiment in low-tier hotels, particularly during peak seasons. In contrast, IoT shows no significant impact in high-tier hotels, suggesting that luxury hotel guests perceive IoT as a standard offering rather than an added value. These findings emphasize the need for a tailored IoT strategy based on hotel rank and seasonality, providing practical insights for hotel managers and advancing research on IoT-driven guest experiences.

목차

Abstract
Introduction
Literature Review
Competitive Advantage Theory: Resource-Based View(RBV)
IoT in the Hospitality Industry
Methodology
Dataset
Data Processing
Results
Hotel Rank
Discussion
Key Findings
Implications
Limitations and Directions for Future Research
Acknowledgments
References

저자

• 김정연 [ KAIST Business and Tech. Management ]
• 김민주 [ KAIST Business and Tech. Management ]
• 조항정 [ KAIST Business and Tech. Management ]

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