GreenMOORA: a web-based python tool for big data MCDM in sustainability and innovation impact

GreenMOORA is a novel decision support tool and toolkit used to prioritize projects, innovations or regions based on a number of sustainability factors. Traditional decision-making procedures often face difficulties in reconciling competing goals and maintaining open, evidence-based evaluations. This system combines the functionality of big data with the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) approach that has already been implemented in different areas including the selection of sustainable suppliers (Mubin et al., 2024). It has also been well used in terms of educational performance tests, which demonstrates its flexibility in various fields (Sinaga et al., 2022). Another key feature of GreenMOORA is its interactive interface. Instead of relying on preloaded information, it allows users to upload custom datasets, assign weights to criteria, and define benefit or cost indicators to generate normalized matrices, weighted scores, and final rankings. Also, the system offers an online graphical representation of MOORA scores and ranking that enables decision-makers to understand complex data in a clear manner, and make informed decisions. GreenMOORA can be greatly beneficial in aiding sustainability-oriented decision-making in any industry, academia, or policy-making context as it will enable the decision-maker to evaluate projects (as well as technologies or regions) in terms of their environmental, social, and economical indicators with ease. GreenMOORA increases decision-making efficiency and reliability by transforming complex multi-criteria analyses into an objective, transparent, and reproducible tool based on data. Its flexibility across diverse datasets also enhances its commercialization potential, making it a viable solution for organizations seeking to maximize innovation and sustainability outcomes.