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Updated: Jul 1, 2026

Continuously-stirred Anaerobic Digester to Convert Organic Wastes into Biogas: System Setup and Basic Operation
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Published on: July 13, 2012

Stakeholder analysis for industrial waste management systems.

Oliver Heidrich1, Joan Harvey, Nicola Tollin

  • 1Safety, Environment and Quality Management (SEQM), Newcastle Upon Tyne, NE6 1LL, United Kingdom. Oliver@SEQM.com

Waste Management (New York, N.Y.)
|September 16, 2008
PubMed
Summary

This study introduces a stakeholder analysis model for environmental and waste management. It helps organizations identify and rate stakeholder roles and influences for improved performance.

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Area of Science:

  • Environmental Management
  • Organizational Studies
  • Waste Management Systems

Background:

  • Stakeholder approaches are used to improve company performance across various domains.
  • There is a lack of consensus on stakeholder identification, their interests, and relative importance.
  • Environmental and waste management systems require effective stakeholder engagement.

Purpose of the Study:

  • To propose a stakeholder analysis template and matrix model.
  • To facilitate the identification of stakeholder roles and influences.
  • To provide a framework for rating stakeholder importance in environmental and waste management.

Main Methods:

  • Development of a stakeholder analysis template and matrix model.
  • Application of the model in a case study of a large educational institution.
  • Evaluation of the model's transferability to diverse organizational contexts.

Main Results:

  • The proposed template and matrix model effectively identify and rate stakeholders.
  • The case study demonstrated the practical application and utility of the model.
  • The model proved transferable to different organizational settings and circumstances.

Conclusions:

  • The developed stakeholder analysis model offers a structured approach to understanding stakeholder influence.
  • This framework can enhance environmental and waste management strategies.
  • The model's adaptability supports its widespread application in various organizations.