Forecasting tourism growth with State-Dependent Models

Guan, Bo; Silva, Emmanuel Sirimal; Hassani, Hossein; Heravi, Saeed

doi:10.1016/j.annals.2022.103385

Cited by 7 publications

(2 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The last phase of consumer adoption is influenced by trial intentions, which encourage adoption. Similar arguments were made by those who underlined the need to offer free trials of specialized services to boost acceptance (Guan et al 2022).…”

Section: Literature Reviewmentioning

confidence: 73%

Exploring tourism business model importance with the emergence of blockchain system: directions for tourism industry of China

Liu

Jiang

Ortiz

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

The study aims to explore the importance of the tourism business model with the emergence of the blockchain platform in China. The study focused on the importance of the tourism business model of china, studied the need to improve the tourism business infrastructure, and traced the value of the blockchain system in the tourism industry of china. For this, the researchers used a semi-structured interview approach to conduct a qualitative research design. About nine Chinese tourism and travel industry experts were interwar after initial screening using purposive sampling techniques. The respondents’ responses were analyzed by applying a thematic analysis approach, and by this, the researchers extracted the main themes on study topicality to fill the gap in the literature. The study’s novelty is in its topicality and context, for which it also provides viable, practical directions for stakeholders.

show abstract

Section: Literature Reviewmentioning

confidence: 73%

Exploring tourism business model importance with the emergence of blockchain system: directions for tourism industry of China

Liu

Jiang

Ortiz

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…In recent years, forecasting of the future tourism pattern has attracted attention of many practitioners and researchers for the planning purposes. Several forecasting skills have also been developed to generate more accurate and reliable future tourism patterns such as State-Dependent Models (SDMs) (Priestley, 1980;Guan et al, 2022) and Grey Forecast Model (Javed et al, 2020a).…”

Section: Introductionmentioning

confidence: 99%

Statistical and Grey Forecasting of the Inbound Tourism to Malawi

Matambo

Nyasulu

2022

IJGS

View full text Add to dashboard Cite

Tourism is one of the fastest growing and complex industries in Malawi. This article is aimed at forecasting the future pattern of the tourism industry in Malawi from the year 2018 to 2028. The study has employed grey forecasting model EGM (1, 1, α, θ) to predict the future pattern of tourism based on the initial data sets sourced from the data base of the World Data over Malawi. The findings of this study showed that the grey forecasting model EGM (1, 1, α, θ) performed well in forecasting the future pattern of tourism by comparing with the linear regression and exponential regression. The forecast has revealed that the tourism industry will grow with an average of 20.84% by the year 2028 based on the current conditions. Following the present findings, the tourism industry should therefore continue improving the current conditions in order to attract more tourists. Furthermore, the industry should continue to supply tourism products and services that can satisfy the increasing demand of the international travel experiences as well as the future growing number such as constructing more standard hotels, proper transportation and communication.

show abstract

Resilience of Rural Tourism in Northern Portugal During the COVID-19 Pandemic

Borges

2024

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

Forecasting tourism growth with State-Dependent Models

Cited by 7 publications

References 37 publications

Exploring tourism business model importance with the emergence of blockchain system: directions for tourism industry of China

Exploring tourism business model importance with the emergence of blockchain system: directions for tourism industry of China

Statistical and Grey Forecasting of the Inbound Tourism to Malawi

Resilience of Rural Tourism in Northern Portugal During the COVID-19 Pandemic

Contact Info

Product

Resources

About