Inside ESGETC: The Six Dimensions That Extend Traditional ESG

The term "ESG" entered mainstream use after Who Cares Wins, a 2004 report produced through the UN Global Compact with the International Finance Corporation and the Swiss government, made the case to the investment industry that environmental, social, and governance factors were financially material [3]. Two decades of standard-setting followed that same three-framework structure. What that history does not include is a parallel standard for an organization's technological capacity or the density and quality of its cross-sector partnerships, even though both increasingly determine whether SDS commitments translate into results. ESGETC does not discard the three-framework legacy, it extends it with:

• Economic (E): livelihoods, local procurement, job creation, and SME/supplier resilience, not just financial performance – SDGs: 8, 9, 1, 2.
• Technological (T): digitalization, IoT adoption, innovation capacity, and data systems maturity – SDGs: 9, 17, 7, 12.
• Connectedness (C): partnership density, consortia participation, and cross-sector collaboration as a measurable driver of systemic outcomes – SDGs: 17, 11, 4, 16.

Technology as a Sustainability Determinant

Digital systems shape access to services, information, and opportunities. Without a technology dimension, sustainability frameworks cannot address:

• Algorithmic bias
• Digital exclusion
• Sociotechnical harms
• AI‑mediated governance
• Community‑scale digital adoption

These issues directly affect poor communities, making Technology indispensable.

Culture/Networks as a Structural Variable

Cultural systems determine:

• How communities interpret sustainability interventions
• Whether new technologies are trusted
• How waste systems are managed
• How governance norms are enacted
• How economic systems evolve

Ignoring culture/networks leads to sustainability failures, especially in marginalized communities.

Most organizations reporting today under GRI, SASB, ISSB/IFRS, TCFD, or CDP are measuring three things well: environmental performance, social performance, and governance quality. That is not a criticism, it is a description of what those frameworks were built to do. The question this post answers is narrower and more practical: what happens to the parts of organizational sustainability performance that none of them were designed to see? ESGETC is our answer. It keeps the three pillars intact and adds three more, because the evidence from the standard-setting landscape itself shows a structural gap, not a rounding error. It is worth being precise about what each of the four currently dominating sustainability reporting practice actually covers:

• GRI Standards: The Global Reporting Initiative's modular system, Universal Standards (GRI 1, 2, 3), Sector Standards, and Topic Standards, is the most widely adopted sustainability reporting framework globally. Its current Universal Standards were revised in October 2021 and took effect for reporting from 1 January 2023 [4]. GRI's 200-series economic disclosures (e.g., GRI 201 Economic Performance, GRI 204 Procurement Practices) address financial performance and local procurement, but there is no GRI standard for technology governance, innovation capacity, or partnership-network measurement.
• SASB Standards: Originally an independent standard-setter organizing industry-specific metrics, SASB Standards became part of the IFRS Foundation when the Value Reporting Foundation, which had housed SASB since its 2021 merger with the International Integrated Reporting Council, was consolidated into the IFRS Foundation on 1 August 2022 [5]. The International Sustainability Standards Board (ISSB) now governs SASB Standards and is building them into IFRS Sustainability Disclosure Standards.
• ISSB/IFRS Sustainability Disclosure Standards: IFRS S1 (General Requirements for Disclosure of Sustainability-related Financial Information) and IFRS S2 (Climate-related Disclosures) were issued by the ISSB in June 2023 and apply to annual reporting periods beginning on or after 1 January 2024 [6, 7]. IFRS S1 requires disclosure of sustainability-related risks and opportunities that could reasonably affect an entity's cash flows, access to finance, or cost of capital, a financial-materiality lens, by design.
• TCFD: The Task Force on Climate-related Financial Disclosures published its four-pillar recommendations (Governance, Strategy, Risk Management, Metrics & Targets) in 2017 [8]. Following its 2023 status report, the Financial Stability Board asked the IFRS Foundation to take over monitoring of climate-disclosure progress, and TCFD formally disbanded in October 2023 [9]. IFRS S2 incorporates TCFD's structure, but, consistent with TCFD's own remit, the scope is climate, not the full Environmental dimension, and not Social, Economic, Technological, or Connectedness performance at all.
• CDP: CDP (formerly the Carbon Disclosure Project) operates one of the world's leading environmental disclosure systems, enabling companies, investors, cities, and governments to report and assess environmental performance. Its disclosure framework focuses primarily on climate change, water security, and forests/deforestation, and since 2024 has been organized through a single integrated corporate questionnaire aligned with major frameworks including TCFD and the ISSB's IFRS S2 climate standard. CDP emphasizes environmental risk, governance, targets, and performance metrics, providing decision-useful data for investors and supply-chain partners. However, like TCFD and IFRS S2, its scope is largely environmental and climate-focused and does not provide a comprehensive framework for measuring broader technological capabilities, innovation ecosystems, partnership networks, or overall organizational connectedness. 

Taken together, these frameworks were each built to solve a specific, well-defined reporting problem. None of them claims to be a general-purpose measure of organizational sustainability performance across six dimensions, and that is precisely the gap ESGETC is built to close, not a flaw in frameworks doing the job they were designed for.

Each dimension maps to a distinct subset of the UN Sustainable Development Goals and is scored independently rather than folded into a composite that hides where the real gaps are. In our internal structural crosswalk analysis of how the four frameworks above actually cover these six dimensions, Technological and Connectedness are the two areas where coverage drops closest to zero across the board, GRI and TCFD/ISSB have no mechanism for either; SASB/ISSB captures only narrow slices (cybersecurity and product-innovation metrics in technology-sector standards; supply-chain-management metrics for Connectedness) rather than universal, cross-industry measurement. Economic coverage is present in every framework but consistently partial, financial performance and procurement are measured, broader economic contribution and resilience are not.

We are also running a parallel academic validation track for ESGETC, a Delphi panel structured around iterated, anonymous expert consensus-building, the method Dalkey and Helmer [10] originally developed at RAND for exactly this kind of structured-judgment problem. That process is rigorous by design, and rigor of that kind takes time: real panels, real rounds, real consensus thresholds.

It is not, however, the only legitimate way to validate a measurement framework, and we do not think organizations making budget and reporting decisions this year should wait for it to be the only signal available. Karl Popper's standard [11] for a good empirical claim is that it must be falsifiable, testable against evidence, not just argued for. A framework comparison that runs identically, deterministically, and reproducibly on every participating organization's own live data is exactly that kind of testable claim: it can be checked, and it can fail, which is the honest version of "working."

There is also a second reason market validation matters right now: the existing ESG measurement ecosystem itself has a documented consistency problem. Berg, Koelbel, and Rigobon [12] found substantial divergence across major commercial ESG rating providers scoring the same companies. a well-established finding in the literature on ESG measurement [12]. Comparing ESGETC against named, publicly specified frameworks, GRI, SASB, ISSB/IFRS, TCFD, on an organization's own data, rather than against another opaque rating methodology, is a direct response to that problem, not an attempt to add a fifth rating system to an already crowded field.

That is why we are inviting sustainability consultants and senior executives, across every sector, to run their own organization's data through ImpactMatrix, ESGETC's operationalizing platform, and compare the result head-to-head against the framework(s) they already report under. The comparison runs on the "ESGETC Outperformance" view inside the platform, using the same structural crosswalk analysis summarized above, applied to each participant's own measured dimension scores.

Freemium-to-Reward: A Reward Path No Legacy Framework Has

GRI, SASB, ISSB/IFRS, and TCFD are reporting standards. Adopting any of them still means building or buying your own measurement tooling around them. ESGETC is already operationalized on ImpactMatrix, and it ships with a pricing model none of the legacy frameworks have an equivalent to: Freemium-to-Reward. Higher-capacity, paying organizations cross-subsidize free Community-tier access for lower-scoring, lower-capacity organizations, who graduate to paid tiers as their measured sustainability performance improves, typically over a 12–24 month horizon. You do not pay more for better reporting; you pay more once you are measurably doing better.

Join the Market Validation Cohort

If the gap between what you currently report and what your organization actually does is bigger than your current framework can show, we would like to show you that gap in your own numbers.

CTA: If you are a sustainability consultant or senior executive and would like to contribute to the market validation of the ESGETC framework, visit: https://app.impactmatrix.io/programs/framework-validation-cohort

References

1. Bocken, N. M., Short, S. W., Rana, P., & Evans, S. (2014). A literature and practice review to develop sustainable business model archetypes. Journal of Cleaner Production, 65, 42–56.
2. United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development. United Nations.
3. United Nations Global Compact. (2004). Who cares wins: Connecting financial markets to a changing world. International Finance Corporation. https://www.unepfi.org/industries/who-cares-wins/
4. Global Reporting Initiative. (2021). GRI 1: Foundation 2021 (Universal Standards). https://www.globalreporting.org/standards/standards-development/universal-standards/
5. IFRS Foundation. (2022, August 1). IFRS Foundation completes consolidation with Value Reporting Foundation [Press release]. https://www.ifrs.org/news-and-events/news/2022/08/ifrs-foundation-completes-consolidation-with-value-reporting-foundation/
6. IFRS Foundation. (2023a). IFRS S1 General Requirements for Disclosure of Sustainability-related Financial Information. https://www.ifrs.org/issued-standards/ifrs-sustainability-standards-navigator/ifrs-s1-general-requirements/
7. IFRS Foundation. (2023b). IFRS S2 Climate-related Disclosures. https://www.ifrs.org/issued-standards/ifrs-sustainability-standards-navigator/ifrs-s2-climate-related-disclosures/
8. Task Force on Climate-related Financial Disclosures. (2017). Final report: Recommendations of the Task Force on Climate-related Financial Disclosures. Financial Stability Board. https://www.fsb-tcfd.org/
9. Task Force on Climate-related Financial Disclosures. (2023). 2023 status report. Financial Stability Board. https://www.fsb-tcfd.org/
10. Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9(3), 458–467. https://doi.org/10.1287/mnsc.9.3.458
11. Popper, K. (1959). The logic of scientific discovery. Hutchinson.
12. Berg, F., Koelbel, J. F., & Rigobon, R. (2022). Aggregate confusion: The divergence of ESG ratings. Review of Finance, 26(6), 1315–1344. https://doi.org/10.1093/rof/rfac033