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Prof. Dr. Paola Magnano
Kore University of Enna
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Prof. Dr. Gabriela Topa
Social and organizational Psychology, Universidad Nacional de Educacion a Distancia
Spain

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Home > Archives > Vol. 10 No. 11 (2025): published > Research Articles
ESP-3978

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2025-11-25

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Vol. 10 No. 11 (2025): published

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Research Articles

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Copyright (c) 2025 Omar Abbas, Mohammed Muneer Abdul-Jabbar, Taghreed Alaa Mohammed Ali Hassan, Dhafer Aldabagh, Hasan Ali Abbas

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How to Cite

Omar Abbas, Mohammed Muneer Abdul-Jabbar, Taghreed Alaa Mohammed Ali Hassan, Dhafer Aldabagh, & Hasan Ali Abbas. (2025). Performance Metrics for Environmental Non-Profit Organizations. Environment and Social Psychology, 10(11), ESP-3978. https://doi.org/10.59429/esp.v10i11.3978
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Performance Metrics for Environmental Non-Profit Organizations

Omar Abbas

Al-Turath University, Baghdad 10013, Iraq

Mohammed Muneer Abdul-Jabbar

Al-Mansour University College, Baghdad 10067, Iraq

Taghreed Alaa Mohammed Ali Hassan

Al-Mamoon University College, Baghdad 10012, Iraq

Dhafer Aldabagh

Al-Rafidain University College, Baghdad 10064, Iraq

Hasan Ali Abbas

Madenat Alelem University College, Baghdad 10006, Iraq


DOI: https://doi.org/10.59429/esp.v10i11.3978


Keywords: environmental non-profits; performance measurement; sustainability metrics; financial efficiency; stakeholder engagement; conservation impact; decision analysis


Abstract

Environmental non-profit organizations (ENPOs) are essential for tackling global sustainability issues, the performance measurement of ENPOs is inconsistent as there are no established evaluation frameworks. Unconventionally, this study develops a holistic performance assessment framework by combining environmental, operational, inclusive, and financial sustainability dimensions into a single overarching model, so that this approach can be adapted on a more universal benchmarking basis. The study is based on a comparison and ranking of organizations according to their efficiency and effectiveness by means of multi-criteria decision analysis and statistical validation, based on data from 50 prominent ENPOs. The discovery shows that while organizations that use their resources efficiently are more likely to have positive impacts on the environment, robust stakeholder engagement practices do not necessarily result in financial sustainability. [The study also identifies administrative efficiency as a decisive factor in cost-effectiveness in emissions and conservation projects.] In addition, when performance is standardized, this enables comparability between different organizations, promoting transparency and accountability in the not-for-profit field. While the study provides valuable insights, it also points out certain restrictions, such as limited data availability, a lack of transparency in reporting, and the absence of small-scale grassroots initiatives. Further research could investigate how performance tracking and predictive analytics driven by AI can lead to improve near-field assessment models and explore how funding structures of non-profits can impact long-term sustainability. Implementing frameworks like project categorization, programmatic planning and work planning, guided by digital monitoring tools, would further develop their deliverables and capabilities, and go a long way in building their contributions in a broader global context of conservation.


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