Research on Design Strategy of B&amp;B: Based on Text Mining and Machine Learning Method

Pan, Hongzhou; Shen, Hongmin

doi:10.1155/2022/9022046

Cited by 1 publication

(1 citation statement)

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“…[ 24 ] studied the data related to Airbnb using LDA. [ 25 ] used traditional machine learning methods for Airbnb data in the Beijing area. Bert was applied as a newer and better text analysis model for various aspects [ 26 ].…”

Section: Related Workmentioning

confidence: 99%

Enhancing rural B&B management through machine learning and evolutionary game: A case study of rural revitalization in Yunnan, China

Jin,

Min,

et al. 2024

PLoS ONE

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The rural B&B industry is a key component of rural tourism, local economic development, and the wider rural revitalization strategy. Despite the abundance of tourism resources in Yunnan, the B&B sector faces significant challenges. It is therefore imperative to accurately identify the most pressing issues within the current B&B industry and formulate appropriate solutions to advance Yunnan’s rural revitalization efforts. This study uses recent reviews of rural B&Bs on Ctrip.com and employs machine learning techniques, including Bert, CNN, LSTM, and GRU, to identify the key management challenges currently facing Yunnan’s rural B&B industry. An analysis is then conducted to identify the key stakeholders involved in the process of improving the management of Yunnan’s B&Bs. To assess the willingness of each stakeholder to support the improvement of the rural B&B industry, this paper establishes a three-party evolutionary game model and examines the dynamic evolutionary process of management improvement within Yunnan’s rural B&B industry. Two scenarios of evolutionarily stable strategies are analyzed, and parameters impacting stakeholders’ strategy choices are simulated and evaluated. The results show that: i) Improving the "human factor" is the top priority for the current management improvement because tourists are most concerned about the emotional experience. Operators need to focus on improving service attitude and emotional experience; ii) The main stakeholders in the current management optimization process of Yunnan B&Bs are the local government, B&B operators, and tourists. Under appropriate conditions, the evolutionarily stable strategy of (1, 1, 1) is reachable. iii) variables such as additional costs, tourists’ choice preferences, and government penalties significantly affect the strategy choices of stakeholders, especially B&B operators. This paper offers effective strategies for improving B&B management that can benefit the government, B&B operators, and tourists, and ultimately contribute to the promotion of quality rural revitalization. The paper not only identifies focal areas for improving B&B management in rural Yunnan, but also provides an in-depth understanding of stakeholder dynamics. As a result, it provides valuable insights to further the cause of quality rural revitalization.

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Section: Related Workmentioning

confidence: 99%