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Il potere dell’IA generativa nel settore del Fashion & Luxury

L’adozione delle tecnologie di IA generativa (GenIA) apre nuovi scenari per i marchi che ne faranno uso, ma al tempo stesso tanti sono anche i rischi per le aziende che adotteranno questa tecnologia. Se da un lato la GenIA permette ai brand di avere un approccio personalizzato lungo tutta l’esperienza di acquisto efficientando la comunicazione tramite la creazione di contenuti ad hoc per ciascun punto di contatto attivato dalle audience target, dall’altro, invece, si aprono nuovi scenari rela...

Give me a second life! Extending the life-span of luxury products through repair

Despite the rise in luxury organizations’ efforts to embrace the circular economy and offer more sustainable options to consumers, research on luxury goods in the circular economy remains limited and primarily focused on “closing loop” strategies––mainly second-hand and rental business models that challenge the traditional concept of luxury. By contrast, there is a complete paucity of research on luxury product repairs that represent a “slowing loop” strategy that aims to prolong the lifecycl...

Luxury branding and the creator economy: emerging challenges and future avenues

This paper identifies and discusses the main issues luxury brands should focus on when building relationships with content creators. We build on the most recent scholarship into luxury brand management as well as emerging evidence from recent initiatives put in place by some pioneers in the field, as recounted in interviews by both luxury brand managers and creator economy stakeholders. Specifically, our contribution wants to address two major challenges that luxury brands are facing in setti...

Disinformazione e intelligenza artificiale: un cocktail esplosivo?

Il saggio analizza quali rimedi giuridici siano disponibili per fronteggiare amplificazione disinformazione causata da accelerazione intelligenza artificiale di carattere generativo.

Social contact patterns in rural and urban settings, Mozambique, 2021-2022

Few sources have reported empirical social contact data from resource-poor settings. To address this shortfall, we recruited 1,363 participants from rural and urban areas of Mozambique during the COVID-19 pandemic, determining age, sex, and relation to the contact for each person. Participants reported a mean of 8.3 (95% CI 8.0-8.6) contacts per person. The mean contact rates were higher in the rural site compared with the urban site (9.8 vs 6.8; p<0.01). Using mathematical models, we noted h...

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