The Sustainable Select
The Sustainable Select places participants in the role of CEO of BMOX Analytics, an Indian SME advancing Sustainable Development Goals through data-driven projects. Participants face five competing SDG-aligned project proposals and must select one to prioritise while ranking the others for board review. The simulation follows a structured seven-step process — expert team selection, project familiarisation, attribute selection, expert evaluation, weight determination, MADM ranking application, and final consistency assessment — mirroring the rigour and complexity of real-world strategic project evaluation under resource constraints.
Performance depends on expert selection quality, attribute framing relevance, methodological rigour, and the alignment between managerial judgment and analytical outcomes. A key design insight runs throughout: decision quality is determined more by how well the problem is structured in the early steps than by computational sophistication in the later ones.
- Apply MADM to rank SDG projects
- Select expert panels using ideal-fit logic
- Define and weight criteria objectively
- Compare WSM, WPM, and MOORA outcomes
- Align judgment with analytical rankings
- Seven-step structured decision journey — expert selection, project familiarisation, attribute selection, expert evaluation, weight determination, MADM ranking, and consistency assessment — progressing sequentially with cumulative financial consequences at each step
- Three MADM ranking methods — Weighted Sum Model (WSM), Weighted Product Model (WPM), and MOORA — run alongside both objective weighting methods (entropy, CRITIC) and custom weights for methodological triangulation
- Expert selection from a pool of 20 candidates evaluated across seven criteria, with proximity-to-ideal scoring and financial bonuses and penalties linked to selection accuracy
- Spearman Rank Correlation (ρ) used to measure alignment between intuitive managerial judgment and analytical MADM outcomes, with performance bands tied to financial rewards
- Leaderboard rankings across four dimensions: expert selection quality, critical attribute inclusion, ranking consistency, and cumulative net profit
- Ability to apply MADM principles to SDG-oriented project evaluation under realistic SME resource constraints
- Skill to assemble expert teams balancing knowledge, cost, and objectivity using proximity-to-ideal logic
- Capacity to select and weight decision attributes aligned with organisational mission and differentiation priorities
- Proficiency in implementing and comparing objective weighting methods — entropy and CRITIC — alongside custom weights
- Recognition that decision quality emerges from problem structuring — expert selection and attribute framing — rather than analytical sophistication alone
