Forecasting the medium-term performance of restructured tourism firms with an adaptive integrated predictor

Hui, Li; He, Ling-Yang; Yang, Jingjing

doi:10.1016/j.tourman.2021.104436

Cited by 7 publications

(1 citation statement)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tourism maximizes the overall economic development level of organizations and industries. Tourism data develops the economic growth of a country which reduces poverty and illiterate ratio among people [8]. Economy development contributions are provided by every organization, enhancing the economy's development range.…”

Section: Introductionmentioning

confidence: 99%

Optimized Reinforcement Learning Approach on Sustainable Rural Tourism Development for Economic Growth

Chen

2023

Journal of Applied Mathematics

View full text Add to dashboard Cite

A country’s economic development relies on different features such as export/import, industrial processes, and tourism. Rural tourism is a discussion-centric research field for analyzing its contribution to a country’s economic growth. This field generates voluptuous data for tourists, expenditure, location, etc. analysis; the information increases over the years and the density of visiting tourists. Therefore, this article introduces an optimized reinforcement data analysis approach (ORDAA) for generating precise guidance information. This information is two-faced, namely, summarized data for tourist guidance and summarized data for the country’s economic development. Data augmentation’s steep rise and downfall are analyzed using reinforcement learning, wherein decision agents are precise for a relevant summary. The relevance is identified using associated development targets over varying years. Besides, the guidance information that identifies low tourist summary or nonachievable development targets is separately identified. The identified targets are analyzed using reinforcement agents for economic growth improvements compared to the previous tourist densities. This improves the focus on rural tourism sights and economic contributions to an optimal level.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimized Reinforcement Learning Approach on Sustainable Rural Tourism Development for Economic Growth

Chen

2023

Journal of Applied Mathematics

View full text Add to dashboard Cite

show abstract

A graph-attention based spatial-temporal learning framework for tourism demand forecasting

Zhou

Dong

Yang

et al. 2023

Knowledge-Based Systems

View full text Add to dashboard Cite

Online investor attention and firm restructuring performance: Insights from an event-based DEA-Tobit model

Li,

2024

Omega

View full text Add to dashboard Cite

Forecasting the medium-term performance of restructured tourism firms with an adaptive integrated predictor

Cited by 7 publications

References 55 publications

Optimized Reinforcement Learning Approach on Sustainable Rural Tourism Development for Economic Growth

Optimized Reinforcement Learning Approach on Sustainable Rural Tourism Development for Economic Growth

A graph-attention based spatial-temporal learning framework for tourism demand forecasting

Online investor attention and firm restructuring performance: Insights from an event-based DEA-Tobit model

Contact Info

Product

Resources

About