Author(s)

Huiwei Shan ¹

Affiliation(s)

¹ Dolcevita Rooms & Breakfast, Naples, 80131, Italy

Corresponding Author

Huiwei Shan

ABSTRACT

The rapid expansion of the homestay industry has led to iterative upgrades in service and management models. Precise service and intelligent management have become key supports for breaking through industry development bottlenecks and enhancing core competitiveness. This article is based on the actual development of the homestay industry, defining core concepts and sorting out relevant theories, analyzing the current practical problems faced by homestay services and management, exploring the construction strategies and implementation paths of a precise service intelligent management system, and providing practical and feasible theoretical and practical references for the homestay industry to achieve refined and sustainable development.

KEYWORDS

Rapid growth of homestays; Precision services; Smart management; Personalized recommendations

CITE THIS PAPER

Huiwei Shan. Research on Precision Service and Intelligent Management for the Rapid Development of Homestays. Tourism Management and Technology Economy (2026) Vol. 9: 1-8. DOI: http://dx.doi.org/10.23977/tmte.2026.090101.

REFERENCES

[1] Rong Peng. Application of Intelligent Technologies in Rural Homestay Development: A Case Study of Beijing's Xingyeyuan Homestay Project [J]. Intelligent Buildings and Smart Cities, 2025, (05): 143-145.
[2] Chen Huan, Cheng Changhao. Precision Service Intelligent Management Based on the Rapid Development of Homestays [J]. Rural Electrification, 2024, (03): 16-18.
[3] Hamid, Rizal, Soffri, et al. "EWOM towards homestays lodging: extending the information system success model" [J]. Journal of Hospitality & Tourism Technology, 2018:4.
[4] Ma Xin, Yan Tingguang, Zhang Caiyan, et al. Research on Strategies for Upgrading Rural Homestays in Rizhao City under the Perspective of All-for-One Tourism [J]. Western Tourism, 2025(8):5-7.
[5] Shao Qilong. Research on Design and Operational Optimization Strategies for Homestays Based on Smart Tourism [J]. Art & Technology, 2024, 37(17):157-159.
[6] Wang Wenjing, Chen Xueqiong. Perception of Homestay Experiences Based on Web Text Analysis: A Case Study of Jiangsu Province's Homestay Industry [J]. Journal of Nanjing Open University, 2022(3):73-78.

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