The purpose of this research is to introduce an innovative decision architecture to assess
corporate risks by utilizing accounting narratives and to further examine the association …

Overall efficiency in the network data envelopment analysis (DEA) literature can be
measured for two-stage decision-making units (DMUs) characterized by technologies …

This paper aims to contribute to the contemporary and imperative research on the
performance and productivity growth of the oil industry. Among cutting edge methods …

In this paper, we observe how effective the use of strategies is in relation to the objectives of
family businesses. Data collected in spring 2024 by interviews were processed using DEA …

Abstract In Network Data Envelopment Analysis models, by considering the internal
structure of production units rather than a simple black-box, more inefficiency sources are …

This study proposes the use of the Gini index and the non-parametric method of Data
Envelopment Analysis (DEA) for strategic planning and performance management in the …

This paper proposes a new approach, based on an SBI, shared-input NDEA model, to
assess the sport and value creation performance of football clubs that are playing in national …

Data envelopment analysis (DEA) strives to evaluate the production units under their best
conditions. DEA flexibility in selecting the appropriate input/output weights always results in …

Abstract Government-owned National Oil Companies (NOCs) play a critical role in the
current oil and gas industry. There is a common perception that NOCs tend to exhibit lower …

The two‐stage data envelopment analysis models are among the widely used mathematical
programming approaches to evaluate the performance of two‐stage structures. In this paper …