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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 360))

Abstract

Corporate reputations are intangible assets that provide organizations with significant market advantages. Nevertheless, too often corporate decisions and actions, being strategically sound within the traditional management paradigm, meet unexpected backlash by key stakeholders, loss of reputation, and inevitable dire consequences for business. Drawing conclusions from the reputation measurement literature, this study further conceptualizes and operationalizes the notion of reputation risk. Having adopted multiple stakeholder view on corporate reputation, this paper presents a format for stakeholder profile, which guides systematic reputation risk identification. Furthermore, we utilize a multi-criteria approach for aggregating reputation risk assessments and prioritizing identified risks. Finally, we demonstrate application of the approach on a state-owned company.

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Correspondence to Anton Talantsev .

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Talantsev, A. (2015). A Systematic Approach to Reputation Risk Assessment. In: Le Thi, H., Pham Dinh, T., Nguyen, N. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Advances in Intelligent Systems and Computing, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-319-18167-7_40

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  • DOI: https://doi.org/10.1007/978-3-319-18167-7_40

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18166-0

  • Online ISBN: 978-3-319-18167-7

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