The calculation of interval forecasts for highly persistent autoregressive (AR) time series based on the bootstrap is considered. Three methods are considered for countering the small-sample bias of least-squares estimation for processes which have roots close to the unit circle: a bootstrap...

A robust minimax approach for optimal investment decisions with imprecise return forecasts and risk estimations in financial portfolio management is considered. Single-period and multi-period mean-variance optimization models are extended to worst-case design with multiple rival risk estimations...

As knowledge discovery (KD) matures and enters the mainstream, there is an onus on the technology developers to provide the technology in a deployable, embeddable form. This transition from a stand-alone technology, in the control of the knowledgeable few, to a widely accessible and usable...

How value is created for the customer from e-business is a topic of much concern in academic and practitioner circles. In the light of the dot.com downturn, numerous e-business firms ceased to exist. This paper reports the findings from an ongoing research study on the development and decline of...

This article examines the interdependency of population-level adaptation (evolution) and individual-level adaptation (learning). More specifically, we assume a trade-off between the two means of adaptation, that is, a higher individual-level adaptation can only be achieved with a reduced...

In this article, the author examines an enterprise resource planning (ERP) adoption process in a particular case setting to explore the knowledge management challenges encountered, specifically challenges related to the sharing and integration of knowledge, and the ways that social capital is...

Enterprise systems are used to facilitate the seamless integration and exchange of data between the various departments within an organization. In order to achieve this, rigidly defined control mechanisms must be in place in the system, which safeguard the company's data and protect the company...

Decision trees are hierarchical, sequential classification structures that recursively partition the set of observations (data) and are used to represent rules underlying the observations. This article describes the development of TreeWorks, a tool that enhances existing decision tree theory and...

This paper describes the development and application of a simulation tool for modelling patient choice in healthcare systems. Patient choice is already offered in the English National Health Service (NHS) and proposed reforms will propel choice to the forefront of NHS re-structuring by offering...

Firms often delegate important decisions to committees which are set up specifically for that purpose; for example selection committees. We analyze the equilibrium behavior of a game in which committee members (the players) interview candidates sequentially, either hiring or going on to the next...