Purpose – When large samples are used to estimate airport efficiency, clustering is a necessary step before carrying out any benchmarking analysis. However, the existing literature has paid little attention to developing a robust methodology for airport classification, instead relying on ad...

The aim of this study is to assign weights w1, …, wm to m clustering variables Z1, …, Zm, so that k groups were uncovered to reveal more meaningful within-group coherence. We propose a new criterion to be minimized, which is the sum of the weighted within-cluster sums of squares and the...

Purpose – The purpose is to reflect on writing a PhD proposal. Design/methodology/approach – The paper is a poem based on the author's experience. Findings – This is meditation on how the topic, theory and method for a research project all need to be fine‐tuned, so they are in balance....

Purpose – The paper seeks to outline an approach to a unified framework for understanding the concept of “information” in the physical, biological and human domains, and to see what links and interactions may be found between them. It also aims to re‐examine the information science...

Purpose – The purpose of this paper is to analyse the extent to which understanding information science (IS) and information retrieval (IR) as disciplines characterised by intractable dilemmas is a useful conceptual framework through reviewing and re‐evaluating an important contribution to...

The main goal of this article is to present a statistical study of decision tree learning algorithms based on the measures of different parametric entropies. Partial empirical evidence is presented to support the conjecture that the parameter adjusting of different entropy measures might bias...

Purpose – To study the effect of Knightian uncertainty – as opposed to statistical estimation error – in the evaluation of value‐at‐risk (VaR) of financial investments. To develop methods for augmenting existing VaR estimates to account for Knightian uncertainty....

Purpose – This paper aims to present a framework enriching currency risk analyses based on information theory. Design/methodology/approach – Information-theoretic measures of predictability (entropy rate) and co-dependence (mutual information) are used to enhance existing methods of...