<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>IRIS Tipologia:</title>
    <link>https://hdl.handle.net/10807/83122</link>
    <description />
    <pubDate>Thu, 23 Apr 2026 02:13:36 GMT</pubDate>
    <dc:date>2026-04-23T02:13:36Z</dc:date>
    <item>
      <title>What If You Could Learn to Inspire Others Like a TED Speaker… in the Metaverse?</title>
      <link>https://hdl.handle.net/10807/332628</link>
      <description>Titolo: What If You Could Learn to Inspire Others Like a TED Speaker… in the Metaverse?
Autori: Bartolotta, Sabrina; Pizzolante, Marta; Antonini, Giulia; Molina, Martina; Mangelli, Francesca; Gaggioli, Andrea</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/10807/332628</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Towards the Terminator Economy: Assessing Job Exposure to AI Through LLMs</title>
      <link>https://hdl.handle.net/10807/331618</link>
      <description>Titolo: Towards the Terminator Economy: Assessing Job Exposure to AI Through LLMs
Autori: Colombo, Emilio; Mercorio, Fabio; Mezzanzanica, Mario; Serino, Antonio
Abstract: AI and related technologies are reshaping jobs and tasks, either by automating or augmenting human skills in the workplace. Many researchers have been working on estimating if and to what extent jobs and tasks are exposed to the risk of being automatized by AI-related technologies. Our work tackles this issue through a data-driven approach by: (i) developing a reproducible framework that uses cutting-edge open-source large language models to assess the current capabilities of AI and robotics in performing job-related tasks; (ii) formalising and computing a measure of AI exposure by occupation, the TEAI (Task Exposure to AI) index, and a measure of Task Replacement by AI, the TRAI index, both validated through a Human user evaluation and compared with the state-of-the-art. Our results show that the TEAI index is positively correlated with cognitive, problem-solving, and management skills, while it is negatively correlated with social skills. Results also suggest about one-third of U.S. employment is highly exposed to AI, primarily in high-skill jobs requiring a graduate or postgraduate level of education. We also find that AI exposure is positively associated with employment and wage growth in 2003-2023, suggesting that AI has had an overall positive effect on productivity. Considering specifically the TRAI index, we find that even in high-skill occupations, AI exhibits high variability in task substitution, suggesting that AI and humans complement each other within the same occupation, while the allocation of tasks within occupations is likely to change. All results, models, and code are freely available online to allow the community to reproduce our results, compare outcomes, using our work as a benchmark to monitor AI's progress over time.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/10807/331618</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Ercole: mito e forme artistiche di un supereroe</title>
      <link>https://hdl.handle.net/10807/326462</link>
      <description>Titolo: Ercole: mito e forme artistiche di un supereroe
Autori: Stroppa, Francesca
Abstract: Il saggio presenta una disanima iconografica della figura di Ercole, sul lungo periodo.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/10807/326462</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>What Drives Green Purchase Intention: A Cross-Cultural Study</title>
      <link>https://hdl.handle.net/10807/326297</link>
      <description>Titolo: What Drives Green Purchase Intention: A Cross-Cultural Study
Autori: Aysun Kahraman; Domitilla Magni
Abstract: As sustainable consumption and environmental consciousness gain global importance, understanding the psychological and cultural factors influencing green consumer behavior has become increasingly crucial. This study examines the effects of environmental awareness, environmental concern, and self-concept consistency on green purchase intentions, while exploring cross-cultural differences between Italy and Turkey. Using a survey-based design, data were collected through a structured. The findings reveal that environmental awareness positively influences environmental concern and green purchase intentions, though it does not significantly impact self-concept consistency. Both environmental concern and self-concept consistency were found to affect green purchase intentions positively. Cross-cultural analysis indicates no significant differences between the two countries in environmental awareness and green purchase intentions; however, Italians exhibit higher environmental concern, whereas Turkish participants show greater self-concept consistency. These results underscore the importance of integrating cultural sensitivity into environmental campaigns. For Italy, leveraging emotional and culturally resonant appeals may enhance the impact of high environmental concern, while in Turkey, aligning messages with personal identity and self-consistency could foster stronger sustainable behaviors. Overall, the study contributes to the literature by highlighting how psychological drivers and cultural variations jointly shape green purchasing patterns, offering valuable insights for targeted and practical sustainability strategies.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/10807/326297</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
  </channel>
</rss>

