Neolocalism, a movement that shifted the focus from the global to the local sense of place is highly illustrated by local food industry, particularly craft beer industry. Researchers have identified neolocal discourse indicators in terms of branding, environmental sustainability and community engagement. In this paper I look at the neolocal discourse of three craft breweries from Romania, France and United States of America as mirrored in the most active and interactive communication environment, the social media. My aim is to investigate the extent to which national cultures impact the neolocal discourse. I place the research within a cross-cultural framework in light of the cultural dimensions framed by Hofstede, and I carry out semiotic analysis of images and texts posted on the Facebook pages of three craft breweries, Mustață de bere, Romania, Deck & Donohue, France, and Bell’s Brewery, United States of America.

The tourism industry is currently experiencing a substantial digital transformation, with Online Travel Agencies (OTAs) committed to integrating innovations such as artificial intelligence (AI) in order to enhance service delivery and personalize user experiences. This study investigates the relationship between the utilization of AI and the technical quality scores of tourism websites, aiming to identify significant associations and variances in the critical conversion phase. An exploratory research design is employed to evaluate the technical quality of three prominent international tourism websites, i.e., Booking.com, Airbnb.com, and Tripadvisor.com. The investigation uses Google Lighthouse, with Performance, Accessibility, Best Practices, and Search Engine Optimization (SEO) as variables analyzed across both desktop and mobile versions, as well as on pages with and without AI functionality. Data analysis is performed using JASP (version 0.19.3), including linear regression analysis to quantify the predictive relationship. The analysis confirms that the Performance variable is the most sensitive to the influence of AI. AI integration demonstrates a significant positive influence on the Performance score of travel websites. The regression model indicates that AI usage explains 78.9% of the variation in the Performance score (${\mathrm{R}}^2$ = 0.789, p < 0.001), indicating a substantial correlation with technical sustainability. Nevertheless, there remains an ongoing necessity for optimization, particularly with regard to the enhancement of overall performance and improvement of scores for mobile devices. The study acknowledges certain limitations related to the sample size of AI applications and the accessibility of specific AI versions in particular geographic regions.