Artificial intelligence innovation of tourism businesses: From satisfied tourists to continued service usage intention

ECS Ku, CD Chen - International Journal of Information Management, 2024 - Elsevier
The study analyzes how tourism businesses satisfy customers through artificial intelligence
innovation services. Based on the socio-technical system perspective and emotions, the …

Integrating reinforcement learning and metaheuristics for safe and sustainable health tourist trip design problem

R Pitakaso, K Sethanan, CF Chien, T Srichok… - Applied Soft …, 2024 - Elsevier
This study aims to address the critical challenge of enhancing safety within the domain of
health and wellness tourism through the framework of sustainable travel design. Given the …

An application of artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous resources

R Pitakaso, K Sethanan, A Kumar, KH Tan… - Annals of Operations …, 2024 - Springer
This research focuses on the development of an artificial multiple intelligence system (AMIS)
for solving multi-visit scheduling and routing of multi-heterogeneous resources. The …

Leveraging DALI to Refine Route Planning by Dynamically Avoiding Risky POIs

F Persia, M Ge, G Pilato, D D'Auria… - 2024 IEEE 18th …, 2024 - ieeexplore.ieee.org
Considering the diversity of attractions and activities in tourism, itinerary planning is being
used to align visits to Points of Interest (POIs) with personal preferences. In this paper, we …