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Platforms as Enablers for Industrial Symbiosis

The quest for sustainable industrial development demands the transition from the current linear to the circular economy. An inter-firm approach to drive this transition to a circular economy at a local or regional scale is industrial symbiosis, which refers to the exchange or sharing of underutilized resources between industrial plants to reap economic and environmental benefits. There is a widespread consensus in the scientific community on the merits and (anticipated) benefits of information systems and information technology (IT) to support and accelerate the emergence of industrial symbiosis by aiding all involved parties. Though the conceptualization and development of IT, in particular IT platforms, to support industrial symbiosis has gained momentum in recent years to facilitate industrial symbiosis, current research provides little insight and scarce guidance for the design, diffusion and continued operation of IT-supported industrial symbiosis. Especially, experiences and viewpoints of (potential) users and providers of such tools are hardly captured.
On the one hand, this thesis elaborates on the status quo of research as well as practice of IT-supported industrial symbiosis and on the other it examines the potential contribution of IT platforms to facilitate industrial symbiosis and its IT support, by applying perspectives of knowledge management and platform as well as ecosystem theory to the field. Based on the gathered insights and a design science research process, this thesis proposes the Digital Industrial Symbiosis Ecosystem concept as proposal to overcome current issues and facilitate industrial symbiosis and the respective platforms.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:76461
Date08 November 2021
CreatorsKosmol, Linda
ContributorsEsswein, Werner, Strahringer, Susanne, Technische Universität Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess

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