20.500.12556/DiRROS-26967 An analytical framework for sustainability assessment under stochasticconditions Measuring sustainability as an efficient tool to achieve sustainable development and improve economic, social, and environmental aspects is always fraught with complications. In this sense, developing a suitable approach for evaluating and recognizing the strengths and weaknesses across these dimensions is paramount. Given the inherent uncertainty in data for many real-world applications, the primary aim of this paper is to present a data envelopment analysis (DEA) model for evaluating sustainability within a stochastic environment. The proposed model is non-radial and incorporates undesirable outputs, enabling the assessment of overall sustainability as well as each of the economic, social, and environmental dimensions simultaneously. This multi-dimensional evaluation capability is a key advantage of the proposed model. Additionally, the proposed model is based on input excesses and output shortfalls. Another notable advantage is the incorporation of the assumption of managerial disposability when dealing with undesirable outputs. To demonstrate the applicability of the proposed model, data from 59 diverse countries across Africa, Europe, North America, and Asia were analyzed over a 12-year period (2010–2022). The country selection was designed to capture global heterogeneity in development levels, policies, and environmental conditions, allowing for robust cross-continental comparisons. Key findings reveal that: (1) Europe achieves the highest stochastic sustainability scores, while North America performs poorest; (2) Environmental sustainability shows the most success cases globally, whereas social sustainability lags; (3) Significant trade-offs exist between economic growth and environmental protection. data envelopment analysis performance analytics Stochastic modeling sustainability efficiency environmental benchmarking managerial disposability true false true Elsevier Inc. Angleški jezik Ni določen © 2026 The Author(s). Neznano 2026-01-28 04:14:45 2026-02-04 12:30:55 2026-02-05 03:47:53 0000-00-00 00:00:00 2026 0 0 Nasl. z nasl. zaslona; Opis vira z dne 26. 1. 2026; Soavtorji: Tofigh Allahviranloo, Maryam Nematizadeh, Leo Mrsic, Sovan Samanta; str. 1-19 Vol. 18 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2026-01-21 519.8:502.131.1 2772-6622 10.1016/j.dajour.2026.100680 266191619 RAZ_Amirteimoori_Alireza_2026.pdf RAZ_Amirteimoori_Alireza_2026.pdf 1 144019A3110C406758BA06E21185EA24 befc6e57e7199f861b54b9d923e2b9cdbefd68811462b6467c567a95c859305a a83e31cc-01bc-11f1-93b0-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=40052 Rudolfovo – Znanstveno in tehnološko središče Novo mesto 0 0 0