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Choice of stakeholder groups and members in multicriteria decision models
Author(s) -
Harrison Steve R.,
Qureshi M. Ejaz
Publication year - 2000
Publication title -
natural resources forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 49
eISSN - 1477-8947
pISSN - 0165-0203
DOI - 10.1111/j.1477-8947.2000.tb00925.x
Subject(s) - stakeholder , relevance (law) , preference , natural resource management , stakeholder analysis , natural resource , resource (disambiguation) , group decision making , business , government (linguistics) , management science , knowledge management , environmental resource management , public relations , computer science , economics , political science , microeconomics , computer network , linguistics , philosophy , law
Simplistic economic objectives such as maximisation of producer profits are of little relevance in generating information to assist in the management of natural resources beyond the individual firm level. To provide data and information to support decision‐making in natural resource management, it is necessary to take into account the views of various stakeholder groups and the multiple objectives of each group, through the use of some form of multicriteria analysis (MCA). Important decisions arise in the choice of stakeholder, since this will influence the management advice generated. Many groups and individuals can be affected by resource management decisions, but it would be impractical to attempt to identify the objectives and estimate their importance for each group. Also, questions arise concerning whether or not to include government agencies (which represent the broader community) and researchers as stakeholders. A further issue concerns choosing representative samples of stakeholder groups, from which to obtain preference data. Discussions with modellers and a reading of the literature would suggest that the choice of stakeholder groups and representatives is conducted haphazardly and is perhaps biased, and that a more systematic approach is needed. This article explores the above issues with reference to a number of multicriteria analyses, including local studies.