Artificial intelligence

: understanding the determinants of adoption and intention to recommend the technology in travel and transportation

Abstract

The travel and transportation industry, like any other sector, must stay up to date with advancements in technology. Disruptive technologies, including Artificial Intelligence (AI), are being used to develop business, create new opportunities, increase productivity and efficiency, and to meet urgent needs. Notwithstanding the possible advantages that this technology may bring, there is still little research on AI use in the travel and transportation industry. Artificial intelligence is one of the most significant technical advancements of the twenty first century. Its impact on society extends beyond employment and education to healthcare and transportation. AI has the potential to enhance economic growth, revolutionise existing industries, and create new ones. This research attempts to contribute to this understudied field, filling a gap in literature, by putting out a novel, thorough, and as far as we know until now not yet tested theoretical model, designed with the combination of the outcome of a literature meta-analysis with travel experience, and intention to recommend the technology important constructs. A quantitative investigation conducted across multiple countries employed structural equation modelling (SEM) to test the suggested model empirically. The findings imply that user attitude is strongly influenced by performance expectancy, that the intention to use AI is significantly influenced by initial trust and attitude.

Date of Award	28 Oct 2024
Original language	English
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Gonçalo da Costa Aleixo Monteiro Melhorado Baptista (Supervisor)