Nowadays, the role of the sharing economy in tourism increases, the number of people involved as guests or hosts rising day by day. This dynamic generates a viable alternative to the traditional services, allowing tourists to customise their trips and enrich their experiences. This paper focuses on accommodation services, investigating the factors influencing the prices established by Airbnb hosts. Using structural equation modelling, the authors analyse the influence of different categories of factors (listing’s characteristics, hosts’ involvement, listing’s reputation, listing’s location, and rental policies) on the average daily rate. The results emphasise that the hosts establish the listing’s price based on listing’s characteristics and on their involvement – the owners managing only one listing and the ones charging a security deposit value more their involvement, while the other hosts focus more on the listings’ characteristics. The location of the listing counts for experienced owners, while for opportunist owners it has no importance. The listings’ reputation has a negative impact on the price, contrary to the conclusions achieved in other studies, an aspect that supports the idea that price determinants differ across regions.

JAIT is a scientific open access journal which focuses on empirical research results and critical analysis of technology development, use, management and impacts in information technology.

Modern technologies are continuously transforming the world, and Artificial Intelligence may be considered one of the most important discoveries of this century. The unknown nature of this technology, mixed with the rational and irrational fears of the vast majority, makes this research a must to give some order to the chaos created in the last few years. A concise and explicative explanation of Artificial Intelligence (AI) is given to understand the potential of this technology. Many workers perceive this technology as a threat, while their employers see it as an opportunity to cut costs. The main objective of this study is to identify the possible impact that the application of AI may have in the future, in Romania, in each economic sector (primary, secondary, and tertiary). This will lead to an in-depth analysis of the transition that AI will force on these sectors. JEL classification: E24, J29, O39, L86 Article History: Received: 8 May 2025; Reviewed: 10 June 2025; Accepted: 20 June 2025; Available online: 27 June 2025.

Located in the southeast of Romania, Bucharest is the capital and the largest city in the country. Economically, Bucharest is the most prosperous city in Romania. During the last years, this city faced one of the highest growths in the number of hotels. Nowadays, due to the development of Internet-based technologies, the reservation process has changed; travelers can easily get information about the experience of other guests and also compare prices. The aim of the present paper is to analyze how prices for a hotel stay, in the city of Bucharest, can be influenced by some quality signaling factors, as star rating, online consumer’s ratings and the number of consumer’s comments. By using a multiple regression model for 3 to 5-star hotels in Bucharest, we identify, on one hand, the factors that have a positive influence on hotel room rates and, on the other hand, the factors that have a negative impact on the consumer’s willingness to pay. Our main results supply signals to hoteliers concerning the attributes most valuable for consumers which can lead to a higher room rate premium. JEL Classification: M15, M10, L83, L86.