Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges

J Guerra-Montenegro, J Sanchez-Medina, I Laña… - Applied Soft …, 2021 - Elsevier
This research work presents a detailed survey about Computational Intelligence (CI) applied
to various Hotel and Travel Industry areas. Currently, the hospitality industry's interest in data …

Certified Benefit Corporations as a new way to make sustainable business: The Italian example

P Gazzola, D Grechi, P Ossola… - Corporate Social …, 2019 - Wiley Online Library
A Benefit Corporation is one possible alternative to traditional business models and a new
way of managing business and sustainability. Emphasis on B‐Corporations in Italy dates …

Unfolding touristification in retail landscapes: Evidence from rent gaps on high street retail

KS Cheung, CY Yiu - Tourism Geographies, 2023 - Taylor & Francis
Touristification is an emerging concept used to enable the understanding of how various
stakeholders interfere and transform a neighbourhood through tourist activities. This study …

Machine learning and traditional econometric models: a systematic mapping study

ME Pérez-Pons, J Parra-Dominguez… - Journal of Artificial …, 2021 - sciendo.com
Abstract Context: Machine Learning (ML) is a disruptive concept that has given rise to and
generated interest in different applications in many fields of study. The purpose of Machine …

[HTML][HTML] Potential integration of metaverse, non-fungible tokens and sentiment analysis in quantitative tourism economic analysis

S Gričar, V Šugar, T Baldigara, R Folgieri - Journal of risk and financial …, 2023 - mdpi.com
With the emergence of the metaverse, countries' digital efforts to create tourism opportunities
have given rise to the possibility of capitalising on digital content which, along with physical …

Machine learning techniques as a tool for predicting overtourism: The case of Spain

JF Perles‐Ribes, AB Ramón‐Rodríguez… - … Journal of Tourism …, 2020 - Wiley Online Library
One of the most challenging tasks for tourism scientists is the prediction of potential
overtourism situations in the tourist destinations. Until now, some efforts have been …

[HTML][HTML] Percepción de la calidad en restaurantes: un análisis mixto con redes neuronales

A López-Chau, JP Muñoz-Chávez… - Estudios gerenciales, 2022 - scielo.org.co
Este estudio se centra en identificar los factores que influyen en la percepción de la calidad
del consumidor en restaurantes de servicio a mesa en el pueblo mágico Real del Monte …

Sustainable determinants that affect tourist arrival forecasting

S Gricar, T Baldigara, V Šugar - Sustainability, 2021 - mdpi.com
This study considers diversification effects and significant influences on tourist arrivals as a
vital export direction. Different quantitative methods, namely a cointegrated-autoregressive …

Happiness enrichment and sustainable happiness

E Eckhaus, Z Sheaffer - Applied Research in Quality of Life, 2019 - Springer
Sustainable happiness research has recently received renewed attention. Studies present
exercises intended to enhance happiness. A comprehensive process by which to sustain …

Machine learning in tourism

F Afsahhosseini, Y Al-Mulla - Proceedings of the 2020 3rd International …, 2020 - dl.acm.org
Machine Learning is a subset of Artificial Intelligence, which is a process of learning from
different types of data to make accurate predictions. Data in tourism is various such as …