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Mutual dependency grid for stakeholder mapping: a component-based approach to supply chain participant analysis

Pan, Y.-C., Tang, Y. and Gulliver, S. (2013) Mutual dependency grid for stakeholder mapping: a component-based approach to supply chain participant analysis. In: 14th International Conference on Informatics and Semiotics in Organisation (ICISO), 25 -27 Mar 2013, Stockholm, Sweden, pp. 72-81.

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Abstract/Summary

Stakeholder analysis plays a critical role in business analysis. However, the majority of the stakeholder identification and analysis methods focus on the activities and processes and ignore the artefacts being processed by human beings. By focusing on the outputs of the organisation, an artefact-centric view helps create a network of artefacts, and a component-based structure of the organisation and its supply chain participants. Since the relationship is based on the components, i.e. after the stakeholders are identified, the interdependency between stakeholders and the focal organisation can be measured. Each stakeholder is associated with two types of dependency, namely the stakeholder’s dependency on the focal organisation and the focal organisation’s dependency on the stakeholder. We identify three factors for each type of dependency and propose the equations that calculate the dependency indexes. Once both types of the dependency indexes are calculated, each stakeholder can be placed and categorised into one of the four groups, namely critical stakeholder, mutual benefits stakeholder, replaceable stakeholder, and easy care stakeholder. The mutual dependency grid and the dependency gap analysis, which further investigates the priority of each stakeholder by calculating the weighted dependency gap between the focal organisation and the stakeholder, subsequently help the focal organisation to better understand its stakeholders and manage its stakeholder relationships.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Henley Business School > Business Informatics, Systems and Accounting
ID Code:31977

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