Supplementary Materials: Semantic alignment of organizational strategic direction statements with the sustainable development goals

This project presents a systematic approach that evaluates the semantic alignment of organizational strategic statements with the SDGs by leveraging the capability of Large Language Models (LLMs) in semantic similarity and relatedness tasks. Viewing as a multi-criteria decision-making (MCDM) problem and recognizing the limitations of LLMs, we posit that the evaluations be represented as intuitionistic fuzzy sets (IFS), which prompted the development of an IF extension of the PROBID (Preference Ranking On the Basis of Ideal-average Distance) method. The proposed IF-PROBID method was then deployed to evaluate the 47 top Philippine corporations.