@article {655,
	title = {Mobilisation of textile waste to recover high added value products and energy for the transition to circular economy},
	journal = {Environmental Research},
	year = {2024},
	doi = {10.1016/j.envres.2023.117716},
	author = {Papamichael, Iliana and Voukkali, Irene and Economou, Florentios and Loizia, Pantelitsa and Demetriou, Giorgos and Esposito, Mark and Naddeo, Vincenzo and Liscio, Marco Ciro and Sospiro, Paolo and Zorpas, Antonis A.}
}
@article {566,
	title = {Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis},
	journal = {Technological Forecasting and Social Change},
	year = {2017},
	abstract = {<p>The Internet of Things ({IoT}) is an emerging paradigm in the {ICT} sector and it is at the center of many current political and economic debates. Scholars, executives, and policymakers are becoming increasingly interested in understanding how to turn the {IoT} into reality, since various technological constraints (e.g., standardization and interoperability) limit the possibility of realizing an inclusive {IoT} information network. These constraints are exacerbated by the lack of a clear picture of the innovation dynamics and technology evolution of the {IoT}. This paper seeks to address this gap by mapping the development of {IoT} technologies. In particular, we have collected 61,972 {IoT} patents filed under the Patent Cooperation Treaty in the period 2000{\^a}{\texteuro}{\textquotedblleft}2012. We analyze temporal trends, cross-country dynamics and identity of the applicants. Moreover, we provide insights about the development of the most relevant {IoT} technologies by looking at triadic patent families.</p>
},
	keywords = {Innovation, Internet of Things, Patent analysis, Technology evolution},
	issn = {0040-1625},
	doi = {10.1016/j.techfore.2017.04.022},
	url = {http://www.sciencedirect.com/science/article/pii/S0040162517305498},
	author = {Ardito, Lorenzo and D{\textquoteright}Adda, Diego and Messeni Petruzzelli, Antonio}
}
@inbook { 11566_51933,
	title = {A machine learning approach to data mining: Delving into the Italian business groups database},
	booktitle = {Classification and Data Analysis 2005. Book of Short Papers. Meeting of the Classification and Data Analasys Group of the Italian Statistical Society},
	year = {2005},
	pages = {313{\textendash}316},
	publisher = {Monte Universit{\`a} Parma Editore},
	organization = {Monte Universit{\`a} Parma Editore},
	address = {PARMA},
	keywords = {Business Groups },
	author = {A. Cucchiarelli and D. Iacobucci and F. Neri}
}
