Data envelopment analysis (DEA) is a methodology for evaluating the efficiencies of decision-making units (DMUs), with each unit having its own set of inputs and outputs. However, there are situations where the DMUs can be interdependent. The authors in previous papers examine the case of a...

Green hydrogen (GH2) is versatile, non-emissive, and one of the most promising energy vectors that have the potential to decarbonize energy systems and promote sustainability. Offshore renewables (ORs) have an enormous potential to facilitate GH2 production on a large scale. However, ORs-based...

PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) is one of the main MCDM methods helping decision-makers to investigate a set of alternatives considering different criteria. This method is particularly useful when the decision-makers need to compare a set of...

In the digital economy, innovators have to deal with the value-capture problem, which necessitates different capabilities. They need to be fully aware of the dynamics of platforms and ecosystems. Such capabilities are needed to enable technologies mainly focused on in the present study. The...

By considering the maximal efficacy among allocation vectors, we define two power indices under specific multicriteria conditions. Additionally, we introduce a reduction approach to the axiomatic framework for these power indices. Furthermore, we propose an alternative formulation that focuses...

Access to reliable and sustainable electricity is still precluded for a large share of global population living in rural areas of developing countries, especially in sub-Saharan Africa. Hybrid microgrids are considered a suitable solution for providing affordable and reliable access to...