Hela Ben Hamida
Biographic Data
| ID | 4463803 |
|---|---|
| NAME | Hela Ben Hamida |
| GIVEN NAMES | Hela Ben |
| FAMILY NAME | Hamida |
| SIGNATURE | BEN HAMIDA H |
| AFFILIATIONS | Imam Mohammad ibn Saud Islamic University |
| ORCID | 0009-0002-9919-2657 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Unveiling the future
Cross-domain dynamics
Predicting tourism demand is crucial for policymakers and stakeholders in the tourism industry, enabling them to enhance promotional strategies, optimize marketing efforts, align investments, and achieve operational efficiency. While existing research has highlighted the negative impact of global risk factors such as geopolitical risks, economic policy uncertainty, and climate changes on tourism demand, the specific influence of climate policy ch…
Democratic transition, political risk, economic instability, and tourist inflows
This article assesses the effect of the political risk and economic instability on the tourist arrivals in Tunisia using various wavelet methods. Our findings reveal a substantial effect of political risk over the short and medium terms, while the risk of economic effect is more perceptible over the long run. These outcomes are robust when using standard time series modeling. Terrorist incidents and political uneasiness increase the perception of…
No prominent works on this page.
Democratic transition, political risk, economic instability, and tourist inflows
This article assesses the effect of the political risk and economic instability on the tourist arrivals in Tunisia using various wavelet methods. Our findings reveal a substantial effect of political risk over the short and medium terms, while the risk of economic effect is more perceptible over the long run. These outcomes are robust when using standard time series modeling. Terrorist incidents and political uneasiness increase the perception of…
Cross-domain dynamics
Predicting tourism demand is crucial for policymakers and stakeholders in the tourism industry, enabling them to enhance promotional strategies, optimize marketing efforts, align investments, and achieve operational efficiency. While existing research has highlighted the negative impact of global risk factors such as geopolitical risks, economic policy uncertainty, and climate changes on tourism demand, the specific influence of climate policy ch…
Unveiling the future
Market Dynamics and Volatility (3 works) · Diverse Aspects of Tourism Research (2 works) · Economics (2 works) · Energy, Environment, Economic Growth (2 works) · Political science (2 works) · Tourism (2 works) · Bivariate analysis (1 works) · Blockchain Technology Applications and Security (1 works) · Business (1 works) · Climate change (1 works)