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Author Einhäupl, P.V.; Krook, J.; Svensson, N.; Van Acker, K.; Van Passel, S. pdf  url
doi  openurl
  Title Eliciting stakeholder needs : an anticipatory approach assessing enhanced landfill mining Type A1 Journal article
  Year (down) 2019 Publication Waste Management Abbreviated Journal Waste Manage  
  Volume 98 Issue 98 Pages 113-125  
  Keywords A1 Journal article; Engineering sciences. Technology; Engineering Management (ENM)  
  Abstract Landfill owners, governmental institutions, technology providers, academia and local communities are important stakeholders involved in Enhanced Landfill Mining (ELFM). This concept of excavating and processing historical waste streams to higher added values can be seen as a continuation of traditional landfill mining (LFM) and seems to be an innovative and promising idea for potential environmental and societal benefits. However, ELFM's profitability is still under debate, and environmental as well as societal impacts have to be further investigated. This study provides a first step towards an anticipatory approach, assessing ELFM through stakeholder integration. In the study, semi-structured interviews were conducted with various stakeholders, involved in a case study in Flanders, Belgium. Participants were selected across a quadruple helix (QH) framework, i.e. industrial, governmental, scientific, and local community actors. The research comprises 13 interviews conducted with an aim to elicit stakeholder needs for ELFM implementation using a general inductive approach. In total 18 different stakeholder needs were identified. The paper explains how the stakeholder needs refer to the different dimensions of sustainability, which groups of stakeholders they primarily affect, and what types of uncertainty could be influenced by their implementation. The stakeholder needs are structured into societal, environmental, regulatory and techno-economic needs. Results show additional economic, environmental, and societal aspects of ELFM to be integrated into ELFM research, as well as a need for the dynamic modeling of impacts. (C) 2019 Elsevier Ltd. All rights reserved.  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000487175500012 Publication Date 2019-08-21  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0956-053x ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 4.03 Times cited 3 Open Access  
  Notes ; This project has received funding from the European Union's EU Framework Programme for Research and Innovation Horizon 2020 under Grant Agreement No 721185. ; Approved Most recent IF: 4.03  
  Call Number UA @ admin @ c:irua:163760 Serial 6193  
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