Publication Authors: Nima Taraghi

Generative AI in Fashion: How Marketing Experts Integrate GenAI in their Knowledge Intensive Work
Nima Taraghi, Kathrin Kirchner, Ettore Bolisani, Tomas Cherkos Kassaneh, Enrico Scarso
The rapid diffusion of Generative Artificial Intelligence (GenAI) is deeply transforming knowledge‑intensive work, thanks to its ability not only to automate repetitive tasks but also, and more importantly, to enhance workers’ capabilities for creating new knowledge. This is particularly evident in creative sectors where novelty is critical and new knowledge is continuously generated to provide [...]
IN: Proceedings IFKAD 2026: Intelligent Knowledge for Sustainable Organizations
PP: 46-54
See all publications by each of the following authors: Enrico Scarso, Ettore Bolisani, Kathrin Kirchner, Nima Taraghi, Tomas Cherkos Kassaneh
Impact of Work Experience on the Use of Generative AI for Knowledge Management
Kathrin Kirchner, Ettore Bolisani, Tomas Cherkos Kassaneh, Enrico Scarso, Nima Taraghi
The emergence of the latest generations of generative artificial intelligence (GenAI) systems, particularly ChatGPT, has prompted knowledge management (KM) scholars to investigate how these tools can be effectively integrated into organizational KM systems. However, as this field of study is in its infancy, the literature remains scarce and provides fragmented results. Empirical evidence is especially [...]
IN: Proceedings IFKAD 2025: Knowledge Futures: AI, Technology, and the New Business Paradigm
PP: 1134-1141
See all publications by each of the following authors: Enrico Scarso, Ettore Bolisani, Kathrin Kirchner, Nima Taraghi, Tomas Cherkos Kassaneh
Leveraging AI for Knowledge Sharing with Customers to Mitigate the Negative Effects of Fake News
Nima Taraghi, Enrico Scarso, Tomas Cherkos Kassaneh, Ettore Bolisani
Effective knowledge management (KM) practices, coupled with artificial intelligence (AI) technologies, offer promising avenues for mitigating the spread of fake news while enhancing knowledge sharing with customers. By leveraging AI algorithms, organizations can sift through vast amounts of information to identify and flag potentially misleading or false content, thereby safeguarding the integrity of knowledge shared [...]
IN: Proceedings IFKAD 2024 - Translating Knowledge into Innovation Dynamics
PP: 207-224
See all publications by each of the following authors: Enrico Scarso, Ettore Bolisani, Nima Taraghi, Tomas Cherkos Kassaneh
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