This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology & Systems (ICOTTS 2021), held at the University of Cartagena, in Cartagena de Indias, Colombia, from 4 to 6 November 2021. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.
Impact of working capital on the profitability of companies in the
tourism sector in Ecuador.- Seasonal Autoregressive Integrated Moving Average
Time Series Model for Tourism Demand: the Case of the Island of Sal, Cape
Verde.- Green Designs in Hydraulics Construction Infrastructures for Safe
Agricultural Tourism and Sustainable Sports Tourism Facilities Mitigating
Risks of Tourism in Crisis at post COVID-19 era.- Firm performance in
Portuguese outdoor tourism industry: the corporate governance.- Green
marketing trends in specific contexts of tourism and music festivals:
preliminary insights.- Exploring the dynamic capabilities of businesses to
cope with COVID-19 challenges.- Safety Seal Clean & Safe and recovery of
tourism marketing in the (post) pandemic context.- Creation of a Mobile app
Prototype for Internationaliza-tion of Rtas Products.- Technologies at the
service of education: present and future.- Soft Skills in Action: Developing
Tourism Students Skills through Interdisciplinarity.- Tracking technologies
in tourism: a bibliometric and content review.- CSR and SDGs contribution to
hotels resilience in COVID-19 days.- The perceived effects of events in
tourism: The case of the festivities of the Romaria de Nossa Senhora
dAgonia, Viana do Castelo, Northwest of Portugal.- Digital nomads: a growing
trend in hospitality in Portugal.- The Importance of Industry 4.0 for a
Company.- Digital Transformation in Travel Agencies - The Opinon of
Portuguese Travellers.- Health Tourism Monitor System Model.
Joćo Vidal de Carvalho is an Adjunct Professor at Institute of Accounting and Administration of Porto, Polytechnic of Porto (Portugal). Post-Doctorate in Technologies and Information Systems from University of Coimbra (Portugal). PhD in Information Systems and Technology from University of Santiago de Compostela (Spain), MSc in Information Technology Management from University of Minho (Portugal), and Bachelor in Computer Science. He is an effective member of the CEOS.PP Research Center - Center for Organizational and Social Studies of the Polytechnic of Oporto and member of LIACC Artificial Intelligence and Computer Science Laboratory FEUP. Member of the Iberian Systems and Information Technology Association (AISTI). Conference Chair of the ICOTTS 2019 and ICOTTS2020- International Conference on Tourism, Technology & Systems. Published some books in computer science/Database Management. Scientific committee member of several conferences in the area of Information Systems and Technologies.
Pedro Liberato is a Professor of Tourism, specializing in tourism destinations management, tourism planning and tourism marketing, at the School of Hospitality and Tourism, Polytechnic of Porto. Currently he Coordinates the Tourism and Leisure Department and the Master in Tourism Management in the same School. His main research interests are tourism management, tourism planning, e-tourism, ICT in tourism and tourism marketing.
Alejandro Peńa is part of the academic staff in the Accounting Department at Business School of EAFIT University. Dr. Peńas has a Bachelors degree in Mechanical Engineering, a Masters degree in Systems Engineering, a PhD in Engineering and a Postdoctoral Researcher focused on Machine Learning. Dr. Peńa has developed several researches and papers in advanced topics related to computational intelligence and machine learning, in fields such as financial risk, decision management, precision agriculture and other areas related to computer science.
