The role of social media as a distribution channel for promoting pricing strategies A Ampountolas, G Shaw, S James Journal of Hospitality and Tourism Insights 2 (1), 75-91, 2019 | 77 | 2019 |
A Machine Learning Approach for Micro-Credit Scoring A Ampountolas, TN Nde, P Date, C Constantinescu Risks 9 (3), 50, 2021 | 59 | 2021 |
Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models A Ampountolas Forecasting 3 (3), 580-595, 2021 | 53 | 2021 |
Active learning to improve self-confidence and decision-making skills through the use of hotel simulation A Ampountolas, G Shaw, S James Journal of Hospitality & Tourism Education 31 (3), 125-138, 2019 | 52 | 2019 |
A segmented machine learning modeling approach of social media for predicting occupancy A Ampountolas, M Legg International Journal of Contemporary Hospitality Management, 2021 | 46 | 2021 |
Forecasting hotel demand uncertainty using time series Bayesian VAR models A Ampountolas Tourism Economics 25 (5), 734-756, 2019 | 41 | 2019 |
Does Airbnb have a homogenous impact? Examining Airbnb’s effect on hotels with different organizational structures T Dogru, L Hanks, O Ozdemir, M Kizildag, A Ampountolas, I Demirer International Journal of Hospitality Management 86, 102451, 2020 | 39 | 2020 |
Peer-to-peer marketplaces: a study on consumer purchase behavior A Ampountolas Journal of Hospitality and Tourism Insights 2 (1), 37-54, 2019 | 38 | 2019 |
Cryptocurrencies Intraday High-Frequency Volatility Spillover Effects Using Univariate and Multivariate GARCH Models A Ampountolas International Journal of Financial Studies 10 (3), 51, 2022 | 34 | 2022 |
Metaverse research propositions: Online intermediaries A Ampountolas, G Menconi, G Shaw Tourism Economics, 2023 | 25 | 2023 |
The effect of students’ perceptions and learning approaches on the quality of hospitality financial management education Z Ma, MH Chen, A Ampountolas Journal of Hospitality & Tourism Education 28 (4), 169-177, 2016 | 21 | 2016 |
The Effect of COVID-19 on Cryptocurrencies and the Stock Market Volatility: A Two-Stage DCC-EGARCH Model Analysis A Ampountolas Journal of Risk and Financial Management 16 (1), 25, 2023 | 19 | 2023 |
Will blockchain shift Online Travel Agencies toward growth or to an end? A Ampountolas, E Chiffer Tourism Economics, 2021 | 18 | 2021 |
The effects of shocks on Turkish tourism demand: Evidence using panel unit root test Y Saglam, A Ampountolas Tourism Economics 27 (4), 859-866, 2021 | 15 | 2021 |
Comparative analysis of machine learning, hybrid, and deep learning forecasting models: evidence from European financial markets and bitcoins A Ampountolas Forecasting 5 (2), 472-486, 2023 | 12 | 2023 |
Marketing to the next generation of casino patrons M Legg, T Webb, A Ampountolas Journal of Marketing Analytics, 1-13, 2021 | 10 | 2021 |
Examining the relationships between market indicators and hotel pricing approaches A Ampountolas, G Shaw, S James Tourism Economics, 2020 | 9 | 2020 |
A Machine Learning Approach for Micro-Credit Scoring. Risks 9: 50 A Ampountolas, TN Nde, P Date, C Constantinescu | 5 | 2021 |
Postcrisis REIT performance using financial ratios: A DEA approach A Ampountolas Tourism Economics 28 (2), 2020 | 5 | 2020 |
Predicting daily hotel occupancy: a practical application for independent hotels A Ampountolas, M Legg Journal of Revenue and Pricing Management, 2023 | 4 | 2023 |