Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMUs) such as schools and bank branches that transform multiple inputs to multiple outputs. In centralized decision-making systems, management normally imposes common...

Effective supply chain management relies on information integration and implementation of best practice techniques across the chain. Supply chains are examples of complex multi-stage systems with temporal and causal interrelations, operating multi-input and multi-output production and services...

The aggregate black-box approach of conventional Data Envelopment Analysis (DEA) limits its usefulness in situations where the observation is the result of independent decision making in sub-units (sub-DMUs), sequentially linked through processes or semi-finished products. The situation is...

The free disposal hull (FDH) models are used as an alternative to data envelopment analysis (DEA) models for performance measurement and efficiency assessment. The conventional FDH models are used to evaluate the performance of a set of firms or decision-making units (DMUs) using deterministic...

The economy has undergone a profound structural transformation in the last two decades. The Information Technology (IT) revolution has expanded well beyond the cutting-edge high-tech sector redefining the rules of global competition. In general, a direct correlation between IT spending and...