Algorithm applied in the corporate sustainability: an analysis of empirical study on prioritisation of stakeholders
by Anna Maria Gil Lafuente, Luciano Barcellos De Paula
International Journal of Business Continuity and Risk Management (IJBCRM), Vol. 2, No. 3, 2011

Abstract: According to scientific studies, engaging with all stakeholders or on all issues is neither possible nor desirable. This would go beyond any available resources, and at the same time make it very difficult to adequately respond to stakeholders, leading to frustration. Therefore, the enterprise should try and prioritise its stakeholders and issues to ensure that time, resources and expectations are well managed. Based on stakeholder theory, we discuss the importance of management with stakeholders in the pursuit of sustainability in enterprises. In this paper, we will focus our research on prioritisation of stakeholders through an analysis of empirical study by a consulting firm in Brazil. In this case, the company needs to establish priorities for stakeholders. To achieve this objective, the consultant hired has used fuzzy logic algorithm, applying the P-Latin composition. To complete the study, we present the contributions, the empirical results and conclusions of our investigation.

Online publication date: Sat, 27-Sep-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Continuity and Risk Management (IJBCRM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com