42,30 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
0 °P sammeln
  • Gebundenes Buch

The study deals with Industrial Symbiosis (IS), a term used to describe a network of diverse organizations that make use of different by-products to improve their facility to achieve common goals, improve environmental conditions or improve business and technical processes. Industrial symbiosis is understood as a technological material as well as a social relationship between so-called social actors, which are involved in the exchange of secondary resources.
The author proposes a model for the evaluation of the possibilities to establish such industrial symbiosis with a study benchmark of
…mehr

Produktbeschreibung
The study deals with Industrial Symbiosis (IS), a term used to describe a network of diverse organizations that make use of different by-products to improve their facility to achieve common goals, improve environmental conditions or improve business and technical processes. Industrial symbiosis is understood as a technological material as well as a social relationship between so-called social actors, which are involved in the exchange of secondary resources.

The author proposes a model for the evaluation of the possibilities to establish such industrial symbiosis with a study benchmark of seven industrial symbiotic examples used to build a qualitative multi-criteria decision model for the evaluation of the industrial symbiotic network model. With the data obtained from the best-known industrial symbiotic cases in the world, the author examines the importance of social actors' involvement in industrial symbiosis both in their industrial and non-industrial technological processes.
Autorenporträt
Erika Daji¿ Uri¿ holds a Ph.D. in Sociology from the School of Advanced Social Studies, Nova Gorica, Slovenia. Her research interests include Socio-economical factors of industrial symbiosis, computer intensive methods and applications, software modelling of industrial symbiosis networks, and the combination of qualitative and quantitative methods of industrial symbiosis networks analyses.