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Procedia Computer Science
Article . 2013 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Procedia Computer Science
Article . 2013
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Contextual- and Behavioral-Centric Stakeholder Identification

Authors: Alejandro Salado; Roshanak Nilchiani;

Contextual- and Behavioral-Centric Stakeholder Identification

Abstract

AbstractProper identification of stakeholders is the first step to bound the system of interest and ultimately to correctly define the problem of concern. Research has traditionally addressed the process of identifying stakeholders using stakeholder-centric methods such as brainstorming (unstructured or with discipline-specific taxonomies). These approaches are grounded on the idea of listing entities that have a relation to the system and then analyze their mutual relationships so that their relative importance with respect to the system can be assessed. Yet, these methods do not provide any mechanism to ensure completeness and thus introduce a high level of uncertainty in the definition of the problem at the beginning of the system life-cycle. The present research proposes instead a contextual- and behavioral-centric approach for stakeholder identification. Using systems thinking the focus is put on understanding all the underlying relationships, be them complex or simple, of the system within its environment and during its existence by comprehensively modeling its socio-technical context and behavior. As a result stakeholders no longer need to be sought, but they comprehensively emerge out of the holistic understanding of the system.

Related Organizations
Keywords

MBSE, systems thinking, model-based, context diagram, stakeholder needs, stakeholder identification, soft-systems methodologies

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    23
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
gold