Development and Planning Department of North Sichuan Medical College, Nanchong, China.
Hanyang University, Seoul, South Korea.
PLoS One. 2024 Mar 28;19(3):e0294267. doi: 10.1371/journal.pone.0294267. eCollection 2024.
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.
乡村民宿业是乡村旅游、地方经济发展和更广泛的乡村振兴战略的关键组成部分。尽管云南拥有丰富的旅游资源,但民宿业仍面临重大挑战。因此,准确识别当前民宿业最紧迫的问题并制定适当的解决方案,以推进云南乡村振兴努力至关重要。本研究使用携程网最近对乡村民宿的评论,并采用机器学习技术,包括 Bert、CNN、LSTM 和 GRU,来识别云南乡村民宿业目前面临的关键管理挑战。然后进行分析,以确定参与云南民宿管理改进过程的关键利益相关者。为了评估每个利益相关者支持改善云南乡村民宿业的意愿,本文建立了三方进化博弈模型,并研究了云南乡村民宿业管理改进的动态进化过程。分析了两种演化稳定策略的情景,并对利益相关者策略选择的参数进行了模拟和评估。结果表明:i)提高“人为因素”是当前管理改进的重中之重,因为游客最关心的是情感体验。经营者需要注重提高服务态度和情感体验;ii)云南民宿当前管理优化过程中的主要利益相关者是地方政府、民宿经营者和游客。在适当的条件下,可以达到(1,1,1)的演化稳定策略。iii)额外成本、游客选择偏好和政府处罚等变量会显著影响利益相关者的策略选择,尤其是民宿经营者。本文为改善民宿管理提供了有效的策略,有助于政府、民宿经营者和游客,最终促进优质乡村振兴。本文不仅确定了改善云南民宿管理的重点领域,还深入了解了利益相关者动态。因此,它为推进优质乡村振兴提供了有价值的见解。