  This systematic literature review explores sustainability assessment
frameworks (SAFs) across diverse industries. The review focuses on SAF design
approaches including the methods used for Sustainability Indicator (SI)
selection, relative importance assessment, and interdependency analysis.
Various methods, including literature reviews, stakeholder interviews,
questionnaires, Pareto analysis, SMART approach, and adherence to
sustainability standards, contribute to the complex SI selection process.
Fuzzy-AHP stands out as a robust technique for assessing relative SI
importance. While dynamic sustainability and performance indices are essential,
methods like DEMATEL, VIKOR, correlation analysis, and causal models for
interdependency assessment exhibit static limitations. The review presents
strengths and limitations of SAFs, addressing gaps in design approaches and
contributing to a comprehensive understanding. The insights of this review aim
to benefit policymakers, administrators, leaders, and researchers, fostering
sustainability practices. Future research recommendations include exploring
multi-criteria decision-making models and hybrid approaches, extending
sustainability evaluation across organizational levels and supply chains.
Emphasizing adaptability to industry specifics and dynamic global adjustments
is proposed for holistic sustainability practices, further enhancing
organizational sustainability.
