Academic Journal

IMPROVING THE CREDIBILITY OF CORPORATE SUSTAINABILITY METRICS.

Bibliographic Details
Title: IMPROVING THE CREDIBILITY OF CORPORATE SUSTAINABILITY METRICS.
Authors: DELMAS, MAGALI A. (AUTHOR) delmas@ucla.edu, CLARK, KELLY (AUTHOR) khalford@g.ucla.edu, MINOR, DYLAN (AUTHOR) dylan.minor@anderson.ucla.edu, TIMMER, TYSON (AUTHOR) tysontimmer@g.ucla.edu
Source: Academy of Management Perspectives. Aug2026, Vol. 40 Issue 3, p447-461. 15p. 1 Diagram, 2 Charts.
Subject Terms: *Corporate sustainability, *Carbon offsetting, *Uncertainty (Information theory), *Stakeholder theory, *Source credibility, Measurement uncertainty (Statistics), Sustainable development reporting
Abstract: Firms face growing pressure to measure and disclose their sustainability performance, yet credible sustainability metrics remain scarce because sustainability initiatives often operate under significant uncertainty. We argue that two forms of uncertainty—(1) "effect uncertainty" (whether an initiative produces its intended outcome) and (2) "measurement uncertainty" (the accuracy and stability of quantification)—fundamentally shape the credibility of sustainability metrics. We introduce a credibilitycentered roadmap that helps managers diagnose these uncertainties, select metrics that fit the informational context, reduce uncertainty where feasible, communicate remaining uncertainty transparently, and pause quantitative disclosure when precision cannot be responsibly claimed. The roadmap recognizes that credibility depends on aligning disclosure with what can be responsibly known rather than choosing the "right" metric in the abstract. Using carbon offsets as an illustrative domain where both uncertainties are exceptionally high, we demonstrate how misaligned metrics can unintentionally mislead stakeholders and why process metrics, qualified outcomes, or strategic silence may be more credible than precise quantitative claims. By adopting this structured approach, organizations can design sustainability metrics that more accurately reflect what can be known, avoid overstating confidence, and strengthen stakeholder trust. [ABSTRACT FROM AUTHOR]
Copyright of Academy of Management Perspectives is the property of Academy of Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: IMPROVING THE CREDIBILITY OF CORPORATE SUSTAINABILITY METRICS.
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  Data: <searchLink fieldCode="JN" term="%22Academy+of+Management+Perspectives%22">Academy of Management Perspectives</searchLink>. Aug2026, Vol. 40 Issue 3, p447-461. 15p. 1 Diagram, 2 Charts.
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  Data: Firms face growing pressure to measure and disclose their sustainability performance, yet credible sustainability metrics remain scarce because sustainability initiatives often operate under significant uncertainty. We argue that two forms of uncertainty—(1) "effect uncertainty" (whether an initiative produces its intended outcome) and (2) "measurement uncertainty" (the accuracy and stability of quantification)—fundamentally shape the credibility of sustainability metrics. We introduce a credibilitycentered roadmap that helps managers diagnose these uncertainties, select metrics that fit the informational context, reduce uncertainty where feasible, communicate remaining uncertainty transparently, and pause quantitative disclosure when precision cannot be responsibly claimed. The roadmap recognizes that credibility depends on aligning disclosure with what can be responsibly known rather than choosing the "right" metric in the abstract. Using carbon offsets as an illustrative domain where both uncertainties are exceptionally high, we demonstrate how misaligned metrics can unintentionally mislead stakeholders and why process metrics, qualified outcomes, or strategic silence may be more credible than precise quantitative claims. By adopting this structured approach, organizations can design sustainability metrics that more accurately reflect what can be known, avoid overstating confidence, and strengthen stakeholder trust. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Academy of Management Perspectives is the property of Academy of Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.5465/amp.2024.0202
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 447
    Subjects:
      – SubjectFull: Corporate sustainability
        Type: general
      – SubjectFull: Carbon offsetting
        Type: general
      – SubjectFull: Uncertainty (Information theory)
        Type: general
      – SubjectFull: Stakeholder theory
        Type: general
      – SubjectFull: Source credibility
        Type: general
      – SubjectFull: Measurement uncertainty (Statistics)
        Type: general
      – SubjectFull: Sustainable development reporting
        Type: general
    Titles:
      – TitleFull: IMPROVING THE CREDIBILITY OF CORPORATE SUSTAINABILITY METRICS.
        Type: main
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            NameFull: DELMAS, MAGALI A.
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            NameFull: CLARK, KELLY
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            NameFull: MINOR, DYLAN
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            – D: 01
              M: 08
              Text: Aug2026
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              Y: 2026
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