Exploring procedural justice in stakeholder identification using a systematic mapping approach

In the face of complex societal challenges, stakeholder participation/engagement and knowledge co-production have become increasingly important to the sustainability sciences. Why and how these stakeholders are identified frequently remains unclear, which raises concerns regarding rigor and procedural justice of research processes. Against this background, this paper seeks to contribute to a better understanding of how and why procedural justice issues materialize in stakeholder identification and assess the extent to which they can be addressed. We build on proposals for stakeholder identification in the academic literature that integrate three common approaches: analytical, sampling, and participant-based approaches. Further zooming into these approaches and related methods through a procedural justice lens, we show how the inclusion of stakeholders, the influence of stakeholders on the identification process, and the transparency of the overall identification process matter. We draw upon our own case study experiences to share the lessons learned, including the benefits of systematic mapping approaches for stakeholder identification. We conclude that stakeholder mapping facilitates accurate documenting of identification procedures and supports iterative refinement and adjustments of the stakeholders identified, whilst also creating reflexive potential to address intuitive and past experience-based practices, ultimately opening promising avenues to advance procedural justice in stakeholder identification.

Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2024-12-01
DOI
https://doi.org/10.3929/ethz-b-000696775
Primary Topic
Sustainability and Climate Change Governance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring procedural justice in stakeholder identification using a systematic mapping approach

Repository for Publications and Research Data (ETH Zurich)
Sustainability and Climate Change Governance
article

Exploring procedural justice in stakeholder identification using a systematic mapping approach

article en

Abstract

In the face of complex societal challenges, stakeholder participation/engagement and knowledge co-production have become increasingly important to the sustainability sciences. Why and how these stakeholders are identified frequently remains unclear, which raises concerns regarding rigor and procedural justice of research processes. Against this background, this paper seeks to contribute to a better understanding of how and why procedural justice issues materialize in stakeholder identification and assess the extent to which they can be addressed. We build on proposals for stakeholder identification in the academic literature that integrate three common approaches: analytical, sampling, and participant-based approaches. Further zooming into these approaches and related methods through a procedural justice lens, we show how the inclusion of stakeholders, the influence of stakeholders on the identification process, and the transparency of the overall identification process matter. We draw upon our own case study experiences to share the lessons learned, including the benefits of systematic mapping approaches for stakeholder identification. We conclude that stakeholder mapping facilitates accurate documenting of identification procedures and supports iterative refinement and adjustments of the stakeholders identified, whilst also creating reflexive potential to address intuitive and past experience-based practices, ultimately opening promising avenues to advance procedural justice in stakeholder identification.

Repository for Publications and Research Data (ETH Zurich)
Openalex Percentile: Top 65%
Sustainability and Climate Change Governance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.