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The Janus Face of Valuation: Global Performance Indicators as Powerful and Criticized Public Measures

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  • Leopold Ringel

    (Department of Sociology, Bielefeld University, Germany)

Abstract

The article conceptualizes global performance indicators as public measures that are powerful but also receive a wide range of criticism. Global performance indicators derive their power from combining three analytically distinct elements: (a) commensuration (comparing performances on a common metric), (b) visual simplification (presenting performances in an appealing format), and (c) serialization (framing performance as a continuous developing property). However, the very same elements are often subject to criticism. The producers of global performance indicators, therefore, defend methodologies and the validity of commensurated numbers, meet charges of visual oversimplification by professing sobriety and nuance, and balance temporal continuity and discontinuity. By conceptualizing global performance indicators as powerful and criticized public measures, the article draws attention to the Janus face of valuation, which the producers must tackle continuously. Investing considerable time, energy, and resources, these organizations are a key feature of today’s vast indicator culture.

Suggested Citation

  • Leopold Ringel, 2023. "The Janus Face of Valuation: Global Performance Indicators as Powerful and Criticized Public Measures," Politics and Governance, Cogitatio Press, vol. 11(3), pages 189-199.
  • Handle: RePEc:cog:poango:v:11:y:2023:i:3:p:189-199
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    1. Judith G. Kelley & Beth A. Simmons, 2015. "Politics by Number: Indicators as Social Pressure in International Relations," American Journal of Political Science, John Wiley & Sons, vol. 59(1), pages 55-70, January.
    2. Staffan Andersson & Paul M. Heywood, 2009. "The Politics of Perception: Use and Abuse of Transparency International's Approach to Measuring Corruption," Political Studies, Political Studies Association, vol. 57, pages 746-767, December.
    3. Staffan Andersson & Paul M. Heywood, 2009. "The Politics of Perception: Use and Abuse of Transparency International's Approach to Measuring Corruption," Political Studies, Political Studies Association, vol. 57(4), pages 746-767, December.
    4. Anne Bowers & Matteo Prato, 2019. "The Role of Third-Party Rankings in Status Dynamics: How Does the Stability of Rankings Induce Status Changes?," Organization Science, INFORMS, vol. 30(6), pages 1146-1164, November.
    5. Kelley, Judith G. & Simmons, Beth A., 2019. "Introduction: The Power of Global Performance Indicators," International Organization, Cambridge University Press, vol. 73(3), pages 491-510, July.
    6. Ronzani, Matteo & Gatzweiler, Marian Konstantin, 2022. "The lure of the visual: Multimodality, simplification, and performance measurement visualizations in a megaproject," Accounting, Organizations and Society, Elsevier, vol. 97(C).
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    Cited by:

    1. Janne Mende & Thomas Müller, 2023. "Publics in Global Politics: A Framing Paper," Politics and Governance, Cogitatio Press, vol. 11(3), pages 91-97.

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