Purpose – The purpose of this paper is to develop the concept of managerial controversy. This concept focusses on organizational disagreements in order to understand the emergence of organization, and also postulates that researchers can better understand organizational phenomena through the...

The search for deterministic chaos in economic and financial time series has attracted much interest over the past decade. Evidence of chaotic structures is usually blurred, however, by large random components in the time series. In the first part of this paper, a sophisticated algorithm for...

Summary The Cauchy problem for the one-dimensional heat equation asks for solutions u f ( x,t ) of ∂ u /∂ t = ∂ 2 u / ∂ x 2 on R × [1, ∞) with u ( x , 1) = f ( x ) on R. Here we assume that the initial condition f ( x ), x ∊ R, and hence the solution u f is unknown but that at times...

This paper discusses in detail the impact of shifts on the process variance ( σ 2 ) on the run length (RL) of modified upper one-sided EWMA charts for the process mean ( μ ) when the output is correlated. Quite apart from the relevance of a process variance change in its own right, a dilation...

Purpose – The aim of this paper is to study the relationship between the popularity of discount stores and the aggregate business cycle: Does discounters' market share go up during economic contractions and go down during economic expansions? Does the aggregate business cycle contribute to the...

Explores market segmentation strategies using direct mail garnering information on the baby care and motor car markets. Shows that the time sequence of certain events can be accurately predicted and that by the use of readily available records, the starting time for these sequences can be...

Temperature study and model development related to estimation is an essential and important task not only for a human life but also for animal life, agriculture, tourism, water reservation and evaporation, and many other fields. Regression is considered a dominant prediction model which is...

This paper presents a new approach to deal with agricultural crop recognition using SVM (Support Vector Machine), applied to time series of NDVI images. The presented method can be divided into two steps. First, the Timesat software package is used to extract a set of crop features from the NDVI...

To better understand task failures in cloud computing systems, the authors analyze failure frequency of tasks based on Google cluster dataset, and find some frequently failing tasks that suffer from long-term failures and repeated rescheduling, which are called killer tasks as they can be a big...