Organizational Sustainability

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Details

The sustainability of an organization depends not only upon its financial performance, but also upon its environmental and social performance requiring the integration of economic, environmental and social objectives i.e., the triple bottom line (TBL) into overall strategic plan and decision making process. This research introduces a new decision making tool that integrates both financial and nonfinancial performance measures into the process of investment planning via the TBL. It makes use of stakeholder theory for group decision making, analytic network process (ANP) as a decision support tool and stochastic linear programming to create an optimal investment portfolio. This new tool evaluates and prioritizes a set of projects and creates a long-term balanced investment portfolio based upon the perspectives and priorities of the stakeholder groups and decision makers. It can assist decision makers with developing and making proactive decisions which support the strategy of their organization with respect to economic, environmental and social issues, ensuring the sustainability of their organization in the future.

Autorentext

Dr. Fikret Korhan Turan is a researcher at the ESMT European School of Management and Technology. He studied Industrial Engineering at Bogazici University and University of Pittsburgh, respectively. In addition to his academic career, he is interested in Visual Arts and Music and has attended several exhibitions as a guest artist.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783639283204
    • Sprache Englisch
    • Genre Allgemeines & Lexika
    • Größe H13mm x B220mm x T150mm
    • Jahr 2010
    • EAN 9783639283204
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-639-28320-4
    • Titel Organizational Sustainability
    • Autor Fikret Korhan Turan
    • Untertitel A Quantitative Decision Model Towards Maximizing Organizational Sustainability
    • Gewicht 335g
    • Herausgeber VDM Verlag Dr. Müller e.K.
    • Anzahl Seiten 240

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