Data envelopment analysis (DEA) is a widely used mathematical programming approach for
assessing the efficiency of decision-making units (DMUs) in various sectors. Inverse DEA is …

Mergers and acquisitions (M&A) in the hospitality sector involve consolidating assets among
hotels through partnerships. While data envelopment analysis (DEA) has been widely used …

The aim of this paper is to investigate agricultural sustainability as a collective issue
involving multiple rather than individual farms. Through the utilization of energy consumption …

Based on the panel data of 216 Chinese cities from 2008 to 2018, the synergistic reduction
efficiency of pollution and carbon (SREPC) was calculated using the super‐efficiency slack …

Abstract Inverse Data Envelopment Analysis (IDEA) has gained significant attention among
researchers as an analytical tool for assessing efficiency. Estimating input values while …

This paper investigates the merits of Mergers & Acquisitions (M&A), as strategic decisions, in
optimizing energy use. The impact of M&A decisions on reducing energy consumption and …

Partner selection is crucial for ensuring successful supply chain collaboration. This study
focuses on selecting the best partner for a predefined two-stage supply chain using data …

In practical management scenarios, decision-makers frequently face the challenge of
determining the most effective production scale for a strongly context-dependent decision …

Mergers and acquisitions (M&As) are strategic decisions that enable consolidation of
multiple firms in order to expand market share, gain access to new markets and enhance …

Abstract Accepted by: Ali Emrouznejad In many real-world scenarios, decision makers often
rely on data available in ratio form. Under the data envelopment analysis (DEA) framework …