A web content-based method of stakeholder analysis: The case of forestry in the context of natural resource management.
Content analysis
Ecosystem services
Forest management
Forestry
Qualitative research
Stakeholder mapping
UK
Woodland
Journal
Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664
Informations de publication
Date de publication:
15 Dec 2021
15 Dec 2021
Historique:
received:
09
05
2021
revised:
12
08
2021
accepted:
09
09
2021
pubmed:
22
9
2021
medline:
15
10
2021
entrez:
21
9
2021
Statut:
ppublish
Résumé
A range of approaches have been developed to support natural resource management. One such approach, stakeholder analysis, involves the use of a range of tools to identify and assess stakeholder interests and influence. Comprehensive empirical stakeholder analysis, however, can be time consuming and resource intensive. Approaches therefore frequently rely on the researcher's personal interpretation rather than empirical analysis. To address this limitation, a web content-based method (WCM) is proposed. Innovative and user-friendly, this empirical method comprises stakeholder information and the use of keywords in a content analysis of preselected stakeholder webpages, demonstrated here, through UK forestry, as an illustrative example. In this study, the application of WCM provides a comprehensive overview of the multitude of stakeholders in UK forestry and in the various goods and services they provide: Stakeholders' primary interests were in the provisioning services of timber and fuel wood; the cultural services of education and recreation; and to a lesser extent, the regulating services of climate and water regulation. While not without limitations, this systematic method provides an effective tool to support researchers, industry, and non-governmental organisations in different fields and countries, to undertake stakeholder analysis, especially in the case of small-scale studies in complex contexts and where resources are limited.
Identifiants
pubmed: 34547572
pii: S0301-4797(21)01795-3
doi: 10.1016/j.jenvman.2021.113733
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
113733Informations de copyright
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