The energy consumption of large-scale data centers or server clusters is expected to grow significantly in the next couple of years contributing to up to 13% of the worldwide energy demand in 2030. As the involved processing units require a disproportional amount of energy when they are idle,...

Purpose: Numerous companies are expecting their knowledge management (KM) to be performed effectively in order to leverage and transform the knowledge into competitive advantages. However, here raises a critical issue of how companies can better evaluate and select a favorable KM strategy prior...

Abstract Anis and Pandey [Economic Quality Control 18: 83–90, 2003] have pointed out that the bias and mean squared error expressions of the estimators of the mean μ of a normally distributed random variable envisaged by Murthy and Sarma [Assam Statistical Review 12: 1–5, 1998] for small...

Purpose The purpose of this paper is to provide a decision support model for the early diagnosis of housing bubbles in the UK during the maturity process of the phenomenon. Design/methodology/approach The development process of the model is divided into four stages. These stages are driven by...

Purpose – This paper aims to investigate how effectively the value at risk (VaR) estimated using the student‐ t distribution captures the market risk. Design/methodology/approach – Two alternative VaR models, VaR‐t and VaR‐x models, are presented and compared with the benchmark model...

Purpose – The purpose of this paper (the first of two) is to consider measures of risk commonly used in the analysis of both investment and insurance portfolios, and argue that there is a need for more appropriate measures to capture the uncertainty inherent in non‐normal (i.e. asymmetric...

Purpose – This editorial, the second of a two‐part series, proposes a new measure of risk for analyzing highly non‐normal (i.e. asymmetric and long‐tailed) random variables in the context of both investment and insurance portfolios. The proposed measure replaces the p ‐norm‐based...

The conversion problem on the metric scale of the judgments expressed towards the products or the services can be solved searching the latent variable, that is always the normal standard. Sometimes, particularly when the frequencies are concentrated on the left extreme or the right extreme of...